Data Architect

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    "url": "https://j5holdingscorporation.applytojob.com/apply/jobs/details/utdtVgpDl7?&",
    "heading": "Data Architect",
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    "description_html": "<p>J5 Consulting is a Maryland based company established in 2006 to provide computing and consulting services for government and commercial entities. Our services improve Information System networking performance and compliance and protect electronic assets from loss and compromise. We welcome your application to receive consideration for the following position.</p><p><strong>Introduction</strong><br><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:100%;\">The Sponsor requires Data Engineering support to evaluate, optimize, and implement robust data infrastructure that enables reliable, accessible, and scalable data delivery across the organization. The Contractor will work collaboratively with data consumers, technical teams, leadership, and stakeholders to assess current data pipelines, identify gaps in data accessibility and reliability, and architect solutions that establish trusted data foundations. Work involves applying engineering best practices to implement proper data modeling and integration patterns, ensuring data quality and observability throughout pipelines, and creating maintainable infrastructure that supports analytics, reporting, and operational use <span style=\"letter-spacing:-0.1pt;\">cases.</span></span><br><span style=\"line-height:11.35pt;\">The Sponsor's data landscape includes enterprise operational systems such as ServiceNow, <span style=\"letter-spacing:-0.1pt;\">network</span></span><br><span style=\"line-height:100%;\">management platforms (NetIM), and network modeling tools (Forward Networks). The Data Engineering support must be adept at extracting data from these systems via APIs (application Programming Interface), exports, and vendor-specific interfaces, often with limited documentation or non-standard data structures, and transforming this operational data into accessible, integrated datasets.</span></span><br><br> </p><p><strong>Required Skills and Demonstrated Experience:</strong>  </p><ul><li><span style=\"font-family:Arial, Helvetica, sans-serif;\">​​​​​​​<span><span style=\"line-height:93%;\"><span style=\"line-height:93%;\">Demonstrated experience designing, building, and maintaining production data pipelines using orchestration tools such as Apache Airflow or similar.</span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span><span style=\"line-height:97%;\"><span style=\"line-height:97%;\">Demonstrated experience with SQL skills including complex queries, optimization, and performance tuning across multiple database platforms.</span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span><span style=\"line-height:97%;\"><span style=\"line-height:97%;\">Demonstrated experience integrating data from Sponsor SaaS platforms and operational systems via APIs, including handling authentication, pagination, and rate limiting.</span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span><span style=\"line-height:97%;\"><span style=\"line-height:97%;\">Demonstrated experience working with semi-structured data (JSON and XML) from API responses and transforming into structured datasets.</span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span><span style=\"line-height:97%;\"><span style=\"line-height:97%;\">Demonstrated experience with developing robust API integrations with proper error handling and retry logic.</span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span><span style=\"line-height:95%;\"><span style=\"line-height:95%;\">Demonstrated experience working with systems that have limited documentation or vendor-specific data models.</span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span>Demonstrated experience with dimensional modeling and data warehouse design <span style=\"letter-spacing:-0.1pt;\">patterns.</span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span><span style=\"line-height:95%;\"><span style=\"line-height:95%;\">Demonstrated proficiency in Python for data engineering including working with data processing <span style=\"letter-spacing:-0.1pt;\">libraries.</span></span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span><span style=\"line-height:97%;\"><span style=\"line-height:97%;\">Demonstrated experience with cloud data platforms such as AWS, Azure, or GCP, including data services and infrastructure.</span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span><span style=\"line-height:11.7pt;\">Demonstrated experience implementing ETL/ELT processes from diverse data <span style=\"letter-spacing:-0.1pt;\">sources</span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span><span style=\"line-height:11.7pt;\">Demonstrated experience with version control (Git) and software engineering best <span style=\"letter-spacing:-0.1pt;\">practices.</span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\">Demonstrated experience with strong problem-solving and troubleshooting skills for complex data pipeline issues. </span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\">Demonstrated experience with strong problem-solving and troubleshooting skills for complex data pipeline issues.</span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\">Demonstrated experience implementing data quality checks and validation <span style=\"letter-spacing:-0.1pt;\">frameworks</span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:12.05pt;\">Demonstrated experience translating business requirements into technical data <span style=\"letter-spacing:-0.1pt;\">solutions</span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\">Demonstrated experience in having a proven track record of delivering reliable, scalable data <span style=\"letter-spacing:-0.1pt;\">infrastructure</span></span></li><li style=\"list-style-type:none;\"><ul><li style=\"list-style-type:none;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"> </span> <span style=\"display:none;\"> </span></li></ul></li></ul><p><strong>Highly Desired Skills and Demonstrated Experience:</strong> </p><ul><li style=\"list-style-type:none;\"></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\">Demonstrated experience with ServiceNow APIs, data models, and integration <span style=\"letter-spacing:-0.1pt;\">patterns.</span></span></li><li style=\"margin-top:1px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:12.05pt;\">Demonstrated experience with network management or IT operations systems data <span style=\"letter-spacing:-0.1pt;\">extraction.</span></span></span></li><li style=\"margin-right:81px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:97%;\"><span style=\"line-height:97%;\">Demonstrated experience with Forward Networks, NetIM, SolarWinds, or similar network management platforms.</span></span></span></li><li style=\"margin-right:29px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:98%;\"><span style=\"line-height:98%;\">Demonstrated experience and knowledge of ITSM (Information Technology Service Management), ITOM (Information Technology Operations Management), and CMDB (Configuration Management Database) data structures and relationships.</span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:11.9pt;\">Demonstrated experience with API gateway platforms and API management <span style=\"letter-spacing:-0.1pt;\">tools.</span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:12.05pt;\">Demonstrated experience with Apache Spark, particularly PySpark, for distributed data <span style=\"letter-spacing:-0.1pt;\">processing.</span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:12.05pt;\">Demonstrated experience with DBT<b> </b>(data build tool) for transformation <span style=\"letter-spacing:-0.1pt;\">workflows.</span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:11.95pt;\">Demonstrated experience with infrastructure-as-code tools such as Terraform or <span style=\"letter-spacing:-0.1pt;\">CloudFormation.</span></span></span></li><li style=\"margin-right:54px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:98%;\"><span style=\"line-height:98%;\">Demonstrated experience implementing CI/CD (Continuous Integration<span style=\"letter-spacing:-0.6pt;\">/</span>Continuous Delivery) pipelines for data engineering code.</span></span></span></li><li style=\"margin-right:31px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:100%;\"><span style=\"line-height:100%;\">Demonstrated experience and knowledge of streaming data technologies such as Kafka, Kinesis, or similar platforms.</span></span></span></li><li style=\"margin-right:42px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:102%;\"><span style=\"line-height:102%;\">Demonstrated experience with data quality platforms such as Great Expectations, Soda, or Monte <span style=\"letter-spacing:-0.1pt;\">Carlo.</span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:11.8pt;\">Demonstrated experience implementing data observability and monitoring <span style=\"letter-spacing:-0.1pt;\">solutions.</span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:11.9pt;\">Demonstrated experience and knowledge of Data Vault or other advanced modeling <span style=\"letter-spacing:-0.1pt;\">methodologies.</span></span></span></li><li style=\"margin-right:45px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:100%;\"><span style=\"line-height:100%;\">Demonstrated experience with containerization (Docker) and orchestration (Kubernetes) for data <span style=\"letter-spacing:-0.1pt;\">workloads.</span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:11.9pt;\">Demonstrated experience with reverse ETL and operational analytics <span style=\"letter-spacing:-0.1pt;\">patterns.</span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:12pt;\">Demonstrated experience with data governance platforms and metadata management <span style=\"letter-spacing:-0.1pt;\">tools.</span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:11.65pt;\">Demonstrated experience with multiple cloud platforms and multi-cloud <span style=\"letter-spacing:-0.1pt;\">architectures.</span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:11.7pt;\">Demonstrated experience mentoring or leading data engineering <span style=\"letter-spacing:-0.1pt;\">initiatives.</span></span></span></li></ul> <p>__________________________________________________________________________________</p><p><strong>US Citizenship:</strong></p><ul><li>This position requires US Citizenship. Verification of US Citizenship to meet federal government security requirements will be confirmed.</li></ul><p><strong>Security Clearance:</strong></p><ul><li>The successful candidate must have an active U.S. Government Top Secret Security Clearance with a Full Scope Polygraph.</li><li><strong>Clearance Verification: </strong>This position requires successful verification of the stated security clearance to meet federal government customer requirements. You will be asked to provide clearance verification information prior to an offer of employment.</li></ul><p><strong>Travel: </strong></p><ul><li>This position is expected to be onsite. The position will be located within the Washington Metropolitan Area (WMA).   Local travel/POV will be on an as needed basis, within the local place of performance.</li></ul><br><br>​​​​​​​<br> <p><span style=\\\"font-size:16px\\\"><strong>Join J5 Consulting and Grow Your Cybersecurity Career</strong></span></p>\n\n<p>At J5, we’re a team of innovators protecting organizations from evolving cyber threats. With 18+ years of success in government and commercial sectors, we offer meaningful opportunities to grow your career.</p>\n\n<p>Enjoy comprehensive benefits, including:</p>\n\n<ul>\n\t<li>100% employer-paid health coverage</li>\n\t<li>a 6% 401(k) match</li>\n\t<li>PTO</li>\n\t<li>tuition reimbursement</li>\n\t<li>bonuses</li>\n\t<li>professional development, and more.</li>\n</ul>\n\n<p><strong>Ready to make an impact? Explore our open positions and apply today.</strong></p>",
    "description_text": "J5 Consulting is a Maryland based company established in 2006 to provide computing and consulting services for government and commercial entities. Our services improve Information System networking performance and compliance and protect electronic assets from loss and compromise. We welcome your application to receive consideration for the following position.\n Introduction\n The Sponsor requires Data Engineering support to evaluate, optimize, and implement robust data infrastructure that enables reliable, accessible, and scalable data delivery across the organization. The Contractor will work collaboratively with data consumers, technical teams, leadership, and stakeholders to assess current data pipelines, identify gaps in data accessibility and reliability, and architect solutions that establish trusted data foundations. Work involves applying engineering best practices to implement proper data modeling and integration patterns, ensuring data quality and observability throughout pipelines, and creating maintainable infrastructure that supports analytics, reporting, and operational use cases.\n The Sponsor's data landscape includes enterprise operational systems such as ServiceNow, network\n management platforms (NetIM), and network modeling tools (Forward Networks). The Data Engineering support must be adept at extracting data from these systems via APIs (application Programming Interface), exports, and vendor-specific interfaces, often with limited documentation or non-standard data structures, and transforming this operational data into accessible, integrated datasets.\n Required Skills and Demonstrated Experience:\n ​​​​​​​ Demonstrated experience designing, building, and maintaining production data pipelines using orchestration tools such as Apache Airflow or similar.\n Demonstrated experience with SQL skills including complex queries, optimization, and performance tuning across multiple database platforms.\n Demonstrated experience integrating data from Sponsor SaaS platforms and operational systems via APIs, including handling authentication, pagination, and rate limiting.\n Demonstrated experience working with semi-structured data (JSON and XML) from API responses and transforming into structured datasets.\n Demonstrated experience with developing robust API integrations with proper error handling and retry logic.\n Demonstrated experience working with systems that have limited documentation or vendor-specific data models.\n Demonstrated experience with dimensional modeling and data warehouse design patterns.\n Demonstrated proficiency in Python for data engineering including working with data processing libraries.\n Demonstrated experience with cloud data platforms such as AWS, Azure, or GCP, including data services and infrastructure.\n Demonstrated experience implementing ETL/ELT processes from diverse data sources\n Demonstrated experience with version control (Git) and software engineering best practices.\n Demonstrated experience with strong problem-solving and troubleshooting skills for complex data pipeline issues.\n Demonstrated experience with strong problem-solving and troubleshooting skills for complex data pipeline issues.\n Demonstrated experience implementing data quality checks and validation frameworks\n Demonstrated experience translating business requirements into technical data solutions\n Demonstrated experience in having a proven track record of delivering reliable, scalable data infrastructure\n Highly Desired Skills and Demonstrated Experience:\n Demonstrated experience with ServiceNow APIs, data models, and integration patterns.\n Demonstrated experience with network management or IT operations systems data extraction.\n Demonstrated experience with Forward Networks, NetIM, SolarWinds, or similar network management platforms.\n Demonstrated experience and knowledge of ITSM (Information Technology Service Management), ITOM (Information Technology Operations Management), and CMDB (Configuration Management Database) data structures and relationships.\n Demonstrated experience with API gateway platforms and API management tools.\n Demonstrated experience with Apache Spark, particularly PySpark, for distributed data processing.\n Demonstrated experience with DBT (data build tool) for transformation workflows.\n Demonstrated experience with infrastructure-as-code tools such as Terraform or CloudFormation.\n Demonstrated experience implementing CI/CD (Continuous Integration / Continuous Delivery) pipelines for data engineering code.\n Demonstrated experience and knowledge of streaming data technologies such as Kafka, Kinesis, or similar platforms.\n Demonstrated experience with data quality platforms such as Great Expectations, Soda, or Monte Carlo.\n Demonstrated experience implementing data observability and monitoring solutions.\n Demonstrated experience and knowledge of Data Vault or other advanced modeling methodologies.\n Demonstrated experience with containerization (Docker) and orchestration (Kubernetes) for data workloads.\n Demonstrated experience with reverse ETL and operational analytics patterns.\n Demonstrated experience with data governance platforms and metadata management tools.\n Demonstrated experience with multiple cloud platforms and multi-cloud architectures.\n Demonstrated experience mentoring or leading data engineering initiatives.\n   __________________________________________________________________________________\n US Citizenship:\n This position requires US Citizenship. Verification of US Citizenship to meet federal government security requirements will be confirmed.\n Security Clearance:\n The successful candidate must have an active U.S. Government Top Secret Security Clearance with a Full Scope Polygraph.\n Clearance Verification:  This position requires successful verification of the stated security clearance to meet federal government customer requirements. You will be asked to provide clearance verification information prior to an offer of employment.\n Travel:\n This position is expected to be onsite. The position will be located within the Washington Metropolitan Area (WMA).   Local travel/POV will be on an as needed basis, within the local place of performance.\n​​​​​​​\n  Join J5 Consulting and Grow Your Cybersecurity Career\n At J5, we’re a team of innovators protecting organizations from evolving cyber threats. With 18+ years of success in government and commercial sectors, we offer meaningful opportunities to grow your career.\n Enjoy comprehensive benefits, including:\n 100% employer-paid health coverage\n a 6% 401(k) match\n PTO\n tuition reimbursement\n bonuses\n professional development, and more.\n Ready to make an impact? Explore our open positions and apply today.",
    "jsonld_jobposting": {
      "url": "https://j5holdingscorporation.applytojob.com/apply/utdtVgpDl7/Data-Architect",
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      "title": "Data Architect",
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      "datePosted": "2026-04-30",
      "description": "<p>J5 Consulting is a Maryland based company established in 2006 to provide computing and consulting services for government and commercial entities. Our services improve Information System networking performance and compliance and protect electronic assets from loss and compromise. We welcome your application to receive consideration for the following position.</p><p><strong>Introduction</strong><br><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:100%;\">The Sponsor requires Data Engineering support to evaluate, optimize, and implement robust data infrastructure that enables reliable, accessible, and scalable data delivery across the organization. The Contractor will work collaboratively with data consumers, technical teams, leadership, and stakeholders to assess current data pipelines, identify gaps in data accessibility and reliability, and architect solutions that establish trusted data foundations. Work involves applying engineering best practices to implement proper data modeling and integration patterns, ensuring data quality and observability throughout pipelines, and creating maintainable infrastructure that supports analytics, reporting, and operational use <span style=\"letter-spacing:-0.1pt;\">cases.</span></span><br><span style=\"line-height:11.35pt;\">The Sponsor's data landscape includes enterprise operational systems such as ServiceNow, <span style=\"letter-spacing:-0.1pt;\">network</span></span><br><span style=\"line-height:100%;\">management platforms (NetIM), and network modeling tools (Forward Networks). The Data Engineering support must be adept at extracting data from these systems via APIs (application Programming Interface), exports, and vendor-specific interfaces, often with limited documentation or non-standard data structures, and transforming this operational data into accessible, integrated datasets.</span></span><br><br> </p><p><strong>Required Skills and Demonstrated Experience:</strong>  </p><ul><li><span style=\"font-family:Arial, Helvetica, sans-serif;\">​​​​​​​<span><span style=\"line-height:93%;\"><span style=\"line-height:93%;\">Demonstrated experience designing, building, and maintaining production data pipelines using orchestration tools such as Apache Airflow or similar.</span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span><span style=\"line-height:97%;\"><span style=\"line-height:97%;\">Demonstrated experience with SQL skills including complex queries, optimization, and performance tuning across multiple database platforms.</span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span><span style=\"line-height:97%;\"><span style=\"line-height:97%;\">Demonstrated experience integrating data from Sponsor SaaS platforms and operational systems via APIs, including handling authentication, pagination, and rate limiting.</span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span><span style=\"line-height:97%;\"><span style=\"line-height:97%;\">Demonstrated experience working with semi-structured data (JSON and XML) from API responses and transforming into structured datasets.</span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span><span style=\"line-height:97%;\"><span style=\"line-height:97%;\">Demonstrated experience with developing robust API integrations with proper error handling and retry logic.</span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span><span style=\"line-height:95%;\"><span style=\"line-height:95%;\">Demonstrated experience working with systems that have limited documentation or vendor-specific data models.</span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span>Demonstrated experience with dimensional modeling and data warehouse design <span style=\"letter-spacing:-0.1pt;\">patterns.</span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span><span style=\"line-height:95%;\"><span style=\"line-height:95%;\">Demonstrated proficiency in Python for data engineering including working with data processing <span style=\"letter-spacing:-0.1pt;\">libraries.</span></span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span><span style=\"line-height:97%;\"><span style=\"line-height:97%;\">Demonstrated experience with cloud data platforms such as AWS, Azure, or GCP, including data services and infrastructure.</span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span><span style=\"line-height:11.7pt;\">Demonstrated experience implementing ETL/ELT processes from diverse data <span style=\"letter-spacing:-0.1pt;\">sources</span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span><span style=\"line-height:11.7pt;\">Demonstrated experience with version control (Git) and software engineering best <span style=\"letter-spacing:-0.1pt;\">practices.</span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\">Demonstrated experience with strong problem-solving and troubleshooting skills for complex data pipeline issues. </span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\">Demonstrated experience with strong problem-solving and troubleshooting skills for complex data pipeline issues.</span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\">Demonstrated experience implementing data quality checks and validation <span style=\"letter-spacing:-0.1pt;\">frameworks</span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:12.05pt;\">Demonstrated experience translating business requirements into technical data <span style=\"letter-spacing:-0.1pt;\">solutions</span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\">Demonstrated experience in having a proven track record of delivering reliable, scalable data <span style=\"letter-spacing:-0.1pt;\">infrastructure</span></span></li><li style=\"list-style-type:none;\"><ul><li style=\"list-style-type:none;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"> </span> <span style=\"display:none;\"> </span></li></ul></li></ul><p><strong>Highly Desired Skills and Demonstrated Experience:</strong> </p><ul><li style=\"list-style-type:none;\"></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\">Demonstrated experience with ServiceNow APIs, data models, and integration <span style=\"letter-spacing:-0.1pt;\">patterns.</span></span></li><li style=\"margin-top:1px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:12.05pt;\">Demonstrated experience with network management or IT operations systems data <span style=\"letter-spacing:-0.1pt;\">extraction.</span></span></span></li><li style=\"margin-right:81px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:97%;\"><span style=\"line-height:97%;\">Demonstrated experience with Forward Networks, NetIM, SolarWinds, or similar network management platforms.</span></span></span></li><li style=\"margin-right:29px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:98%;\"><span style=\"line-height:98%;\">Demonstrated experience and knowledge of ITSM (Information Technology Service Management), ITOM (Information Technology Operations Management), and CMDB (Configuration Management Database) data structures and relationships.</span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:11.9pt;\">Demonstrated experience with API gateway platforms and API management <span style=\"letter-spacing:-0.1pt;\">tools.</span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:12.05pt;\">Demonstrated experience with Apache Spark, particularly PySpark, for distributed data <span style=\"letter-spacing:-0.1pt;\">processing.</span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:12.05pt;\">Demonstrated experience with DBT<b> </b>(data build tool) for transformation <span style=\"letter-spacing:-0.1pt;\">workflows.</span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:11.95pt;\">Demonstrated experience with infrastructure-as-code tools such as Terraform or <span style=\"letter-spacing:-0.1pt;\">CloudFormation.</span></span></span></li><li style=\"margin-right:54px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:98%;\"><span style=\"line-height:98%;\">Demonstrated experience implementing CI/CD (Continuous Integration<span style=\"letter-spacing:-0.6pt;\">/</span>Continuous Delivery) pipelines for data engineering code.</span></span></span></li><li style=\"margin-right:31px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:100%;\"><span style=\"line-height:100%;\">Demonstrated experience and knowledge of streaming data technologies such as Kafka, Kinesis, or similar platforms.</span></span></span></li><li style=\"margin-right:42px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:102%;\"><span style=\"line-height:102%;\">Demonstrated experience with data quality platforms such as Great Expectations, Soda, or Monte <span style=\"letter-spacing:-0.1pt;\">Carlo.</span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:11.8pt;\">Demonstrated experience implementing data observability and monitoring <span style=\"letter-spacing:-0.1pt;\">solutions.</span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:11.9pt;\">Demonstrated experience and knowledge of Data Vault or other advanced modeling <span style=\"letter-spacing:-0.1pt;\">methodologies.</span></span></span></li><li style=\"margin-right:45px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:100%;\"><span style=\"line-height:100%;\">Demonstrated experience with containerization (Docker) and orchestration (Kubernetes) for data <span style=\"letter-spacing:-0.1pt;\">workloads.</span></span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:11.9pt;\">Demonstrated experience with reverse ETL and operational analytics <span style=\"letter-spacing:-0.1pt;\">patterns.</span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:12pt;\">Demonstrated experience with data governance platforms and metadata management <span style=\"letter-spacing:-0.1pt;\">tools.</span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:11.65pt;\">Demonstrated experience with multiple cloud platforms and multi-cloud <span style=\"letter-spacing:-0.1pt;\">architectures.</span></span></span></li><li><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:11.7pt;\">Demonstrated experience mentoring or leading data engineering <span style=\"letter-spacing:-0.1pt;\">initiatives.</span></span></span></li></ul> <p>__________________________________________________________________________________</p><p><strong>US Citizenship:</strong></p><ul><li>This position requires US Citizenship. Verification of US Citizenship to meet federal government security requirements will be confirmed.</li></ul><p><strong>Security Clearance:</strong></p><ul><li>The successful candidate must have an active U.S. Government Top Secret Security Clearance with a Full Scope Polygraph.</li><li><strong>Clearance Verification: </strong>This position requires successful verification of the stated security clearance to meet federal government customer requirements. You will be asked to provide clearance verification information prior to an offer of employment.</li></ul><p><strong>Travel: </strong></p><ul><li>This position is expected to be onsite. The position will be located within the Washington Metropolitan Area (WMA).   Local travel/POV will be on an as needed basis, within the local place of performance.</li></ul><br><br>​​​​​​​<br> <p><span style=\\\"font-size:16px\\\"><strong>Join J5 Consulting and Grow Your Cybersecurity Career</strong></span></p>\n\n<p>At J5, we’re a team of innovators protecting organizations from evolving cyber threats. With 18+ years of success in government and commercial sectors, we offer meaningful opportunities to grow your career.</p>\n\n<p>Enjoy comprehensive benefits, including:</p>\n\n<ul>\n\t<li>100% employer-paid health coverage</li>\n\t<li>a 6% 401(k) match</li>\n\t<li>PTO</li>\n\t<li>tuition reimbursement</li>\n\t<li>bonuses</li>\n\t<li>professional development, and more.</li>\n</ul>\n\n<p><strong>Ready to make an impact? Explore our open positions and apply today.</strong></p>",
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