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Data Engineer

524326BE10E0F901EF936F501E5144B0 · CMH Operations Terminal - Dublin, OH 43016; 5725 Avery Road, Dublin, OH, 43016, USA · Active · Paycom ATS

Job facts

FieldValue
Company524326BE10E0F901EF936F501E5144B0
TitleData Engineer
Normalized title-
Department / team-
LocationDublin, OH, United States
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerPaycom ATS
Posted / first seen2026-03-26 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-06

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Linked records

Company524326BE10E0F901EF936F501E5144B0
Source2f6eca88-71a4-46b9-aee8-5e1a8e509087
ATS providerPaycom ATS

Description

Description JOB SUMMARY: We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the primary architect and builder of our data pipelines. This role will be responsible for designing, implementing, and maintaining scalable, cost-effective data solutions that power enterprise analytics and reporting. The ideal candidate will work closely with business stakeholders to identify data needs, ensure high data quality, and optimize our use of Azure-based technologies for ongoing innovation and performance. ESSENTIAL DUTIES · Design, build, and maintain robust, scalable data pipelines in Azure using services such as Azure Data Factory, Azure Synapse, and Azure Data Lake. · Ingest and integrate data from diverse sources (APIs, databases, files, etc.) into centralized repositories for analytics use. · Develop and manage ETL/ELT workflows that transform raw data into clean, analytics-ready models aligned with business requirements. · Create microservices architecture that rapidly scales with business growth and AI capabilities. · Build data pipelines that feed AI models with clean, structured logistics data. · Implement real-time analytics engines powering predictive logistics capabilities. · Ensure data quality, integrity, and governance through validation, monitoring, and alerting systems. · Collaborate with business and technical teams to gather data requirements and ensure alignment between data assets and business needs. · Implement cost-conscious data engineering strategies, optimizing performance while managing cloud consumption and storage expenses. · Maintain and enhance a semantic data layer or curated datasets to support self-service BI (Power BI) and advanced analytics. · Contribute to the architecture of our data platform, including security, scalability, and performance best practices. · Automate data operations and deployment processes using CI/CD pipelines and infrastructure-as-code (e.g., ARM, Bicep, or Terraform). · Stay current with emerging Azure technologies and recommend improvements to existing data workflows · Other duties as assigned. Qualifications QUALIFICIATIONS Education · Bachelor’s Degree in an IT-related program OR equivalent with 7+ years of technology experience required. · Additional related training and certifications will be weighted on a case-by-case basis. Experience · 5+ years of hands-on experience in a data engineering or similar role, with a proven track record of building end-to-end data solutions in a cloud-native Microsoft Azure environment, including data ingestion, transformation, and modeling for analytics use cases · Work experience in the transportation industry is a plus. Knowledge, Skills, and Abilities · Proven experience building and managing data pipelines in Microsoft Azure environments. · Proficiency with tools like Azure Data Factory, Synapse Analytics, Data Lake, and Power BI integration. · Strong knowledge of SQL, data modeling, and ELT/ETL patterns. · Experience working with APIs, JSON, and structured/unstructured data sources. · Demonstrated ability to work cross-functionally to define and deliver high-quality data solutions. · Strong organizational skills and ability to perform multiple tasks simultaneously, set priorities, work in teams with diverse cultural backgrounds, work independently, and handle conflicting priorities while maintaining consistent, quality work with attention to detail and meet tight deadlines. · Availability to work a flexible schedule as needed. · Proficient in Microsoft Office Suite. · Demonstrated leadership skills, with the ability to effectively communicate and collaborate with cross-functional teams. · Attention to detail, with a focus on accuracy and compliance in a fast-paced, dynamic environment. · Logistics / Supply Chain experience preferred.

Full job record

Job IDb24a0b9eba0d8985fbedc4c650f16b33b22ee576
Org ID91e9e8ed-f2ca-4f9b-b74f-3b40efeb3276
Source ID2f6eca88-71a4-46b9-aee8-5e1a8e509087
Board ID2f6eca88-71a4-46b9-aee8-5e1a8e509087
Providerpaycom
Provider Job Key320290
TitleData Engineer
Normalized Title
Statusactive
Activeyes
Location TextCMH Operations Terminal - Dublin, OH 43016; 5725 Avery Road, Dublin, OH, 43016, USA
Department
Team
Employment Typefull_time
Workplace Type
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CountryUnited States
RegionOH
CityDublin
Salary RawDescription JOB SUMMARY: We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the primary architect and builder of our data pipelines. This role will be responsible for designing, implementing, and maintaining scalable, cost-effective data solutions that power enterprise analytics and reporting. The ideal candidate will work closely with business stakeholders to identify data needs, ensure high data quality, and optimize our use of Azure-based technologies for ongoing innovation and performance. ESSENTIAL DUTIES · Design, build, and maintain robust, scalable data pipelines in Azure using services such as Azure Data Factory, Azure Synapse, and Azure Data Lake. · Ingest and integrate data from diverse sources (APIs, databases, files, etc.) into centralized repositories for analytics use. · Develop and manage ETL/ELT workflows that transform raw data into clean, analytics-ready models aligned with business requirements. · Create microservices architecture that rapidly scales with business growth and AI capabilities. · Build data pipelines that feed AI models with clean, structured logistics data. · Implement real-time analytics engines powering predictive logistics capabilities. · Ensure data quality, integrity, and governance through validation, monitoring, and alerting systems. · Collaborate with business and technical teams to gather data requirements and ensure alignment between data assets and business needs. · Implement cost-conscious data engineering strategies, optimizing performance while managing cloud consumption and storage expenses. · Maintain and enhance a semantic data layer or curated datasets to support self-service BI (Power BI) and advanced analytics. · Contribute to the architecture of our data platform, including security, scalability, and performance best practices. · Automate data operations and deployment processes using CI/CD pipelines and infrastructure-as-code (e.g., ARM, Bicep, or Terraform). · Stay current with emerging Azure technologies and recommend improvements to existing data workflows · Other duties as assigned. Qualifications QUALIFICIATIONS Education · Bachelor’s Degree in an IT-related program OR equivalent with 7+ years of technology experience required. · Additional related training and certifications will be weighted on a case-by-case basis. Experience · 5+ years of hands-on experience in a data engineering or similar role, with a proven track record of building end-to-end data solutions in a cloud-native Microsoft Azure environment, including data ingestion, transformation, and modeling for analytics use cases · Work experience in the transportation industry is a plus. Knowledge, Skills, and Abilities · Proven experience building and managing data pipelines in Microsoft Azure environments. · Proficiency with tools like Azure Data Factory, Synapse Analytics, Data Lake, and Power BI integration. · Strong knowledge of SQL, data modeling, and ELT/ETL patterns. · Experience working with APIs, JSON, and structured/unstructured data sources. · Demonstrated ability to work cross-functionally to define and deliver high-quality data solutions. · Strong organizational skills and ability to perform multiple tasks simultaneously, set priorities, work in teams with diverse cultural backgrounds, work independently, and handle conflicting priorities while maintaining consistent, quality work with attention to detail and meet tight deadlines. · Availability to work a flexible schedule as needed. · Proficient in Microsoft Office Suite. · Demonstrated leadership skills, with the ability to effectively communicate and collaborate with cross-functional teams. · Attention to detail, with a focus on accuracy and compliance in a fast-paced, dynamic environment. · Logistics / Supply Chain experience preferred.
Salary Min
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Salary Currency
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Source URLhttps://www.paycomonline.net/v4/ats/web.php/jobs/ViewJobDetails?job=320290&clientkey=524326BE10E0F901EF936F501E5144B0
Apply URLhttps://www.paycomonline.net/v4/ats/web.php/jobs/ViewJobDetails?job=320290&clientkey=524326BE10E0F901EF936F501E5144B0
First Seen At2026-05-31 19:04:50Z
Last Seen At2026-06-06 19:45:21Z
Last Checked At2026-06-06 19:45:21Z
Last Changed At2026-05-31 19:04:50Z
Inactive At
Source Posted At2026-03-26 00:00:00Z
Source Updated At
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    "qualifications": "<p><strong>QUALIFICIATIONS</strong></p>\r\n\r\n<p><u><em>Education</em></u></p>\r\n\r\n<p>&middot; Bachelor&rsquo;s Degree in an IT-related program OR equivalent with 7+ years of technology experience required.</p>\r\n\r\n<p>&middot; Additional related training and certifications will be weighted on a case-by-case basis.</p>\r\n\r\n<p><u><em>Experience</em></u></p>\r\n\r\n<p>&middot; 5+ years of hands-on experience in a data engineering or similar role, with a proven track record of building end-to-end data solutions in a cloud-native Microsoft Azure environment, including data ingestion, transformation, and modeling for analytics use cases</p>\r\n\r\n<p>&middot; Work experience in the transportation industry is a plus.</p>\r\n\r\n<p><em><u>Knowledge, Skills, and Abilities</u></em></p>\r\n\r\n<p>&middot; Proven experience building and managing data pipelines in Microsoft Azure environments.</p>\r\n\r\n<p>&middot; Proficiency with tools like Azure Data Factory, Synapse Analytics, Data Lake, and Power BI integration.</p>\r\n\r\n<p>&middot; Strong knowledge of SQL, data modeling, and ELT/ETL patterns.</p>\r\n\r\n<p>&middot; Experience working with APIs, JSON, and structured/unstructured data sources.</p>\r\n\r\n<p>&middot; Demonstrated ability to work cross-functionally to define and deliver high-quality data solutions.</p>\r\n\r\n<p>&middot; Strong organizational skills and ability to perform multiple tasks simultaneously, set priorities, work in teams with diverse cultural backgrounds, work independently, and handle conflicting priorities while maintaining consistent, quality work with attention to detail and meet tight deadlines.</p>\r\n\r\n<p>&middot; Availability to work a flexible schedule as needed.</p>\r\n\r\n<p>&middot; Proficient in Microsoft Office Suite.</p>\r\n\r\n<p>&middot; Demonstrated leadership skills, with the ability to effectively communicate and collaborate with cross-functional teams.</p>\r\n\r\n<p>&middot; Attention to detail, with a focus on accuracy and compliance in a fast-paced, dynamic environment.</p>\r\n\r\n<p>&middot; Logistics / Supply Chain experience preferred.</p>\r\n",
    "descriptionTitle": "Description",
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    "locations": "CMH Operations Terminal - Dublin, OH 43016",
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    "description": "JOB SUMMARY: We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the primary architect and builder of our data...",
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GET https://api.bluedoor.sh/job-postings/v1/jobs/b24a0b9eba0d8985fbedc4c650f16b33b22ee576?include=descriptionJSON
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