Senior IT Data Engineer

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    "title": "Senior IT Data Engineer",
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    "datePosted": "2024-06-22T08:38:12.068Z",
    "description": "<h2>Overview</h2>\n<p>The Data Architecture, Technology, and Analytics (DATA) section is tasked with transforming how the Federal Reserve Board’s Division of Research & Statistics (R&S) ingests, organize, uses, and visualizes data.</p>\n<p>The Data Architecture, Technology, and Analytics (DATA) section is looking for an experienced detailed oriented Data Architect/Engineer who will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for economic policy and research teams. The ideal candidate is an experienced hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up. The Data Architect/Engineer will support our economists and technical experts and will ensure optimal data delivery architecture is designed and developed. They must have a service mindset, be self-directed, and be comfortable supporting the data needs of multiple teams and systems. The right candidate will be excited by the prospect of optimizing or even re-designing the R&S division’s data architecture to support our next generation of data initiatives.</p>\n<p> </p>\n<p>The Senior IT Data Engineer is responsible for designing, building, and optimizing scalable data architectures, integration pipelines, and enterprise data platforms that support analytics, reporting, and operational decision-making. This role partners with business stakeholders, analysts, and technical teams to ensure data is accessible, reliable, secure, and structured to meet organizational needs. The ideal candidate brings deep hands-on expertise in data engineering, strong knowledge of database technologies, and the ability to translate complex data requirements into high-performing technical solutions.</p>\n<h2>Responsibilities</h2>\n<ul>\n <li>Design, develop, and maintain scalable data pipelines, ETL/ELT workflows, and integration processes across multiple data sources.</li>\n <li>Build and optimize enterprise data models, databases, data warehouses, and cloud-based storage solutions to support reporting and analytics.</li>\n <li>Ensure data quality, integrity, availability, and security through validation, monitoring, troubleshooting, and performance tuning.</li>\n <li>Collaborate with analysts, economists, researchers, developers, and business stakeholders to gather requirements and deliver effective data solutions.</li>\n <li>Implement workflow orchestration and automation tools to streamline data movement and processing.</li>\n <li>Support migration of data pipelines and workloads between on-premises and cloud environments.</li>\n <li>Develop and maintain scripts, services, and reusable components using Python, SQL, and other relevant programming languages.</li>\n <li>Perform root cause analysis of data and process issues and recommend improvements to architecture, performance, and governance.</li>\n <li>Create and maintain technical documentation, standards, and best practices for data engineering and platform operations.</li>\n <li>Provide technical leadership and mentorship to junior team members while promoting DataOps, CI/CD, and engineering best practices.</li>\n</ul>\n<h2>Qualifications</h2>\n<ul>\n <li>Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field; advanced degree preferred.</li>\n <li>Typically requires 7+ years of experience in data engineering, data architecture, or a related technical role.</li>\n <li>Advanced proficiency in SQL and experience with relational database platforms such as PostgreSQL, Microsoft SQL Server, and MySQL.</li>\n <li>Strong hands-on experience with Python and familiarity with additional scripting or programming languages such as R, Java, Scala, or JavaScript.</li>\n <li>Experience designing and supporting large-scale data platforms, including data warehouses, data lakes, and enterprise information architecture.</li>\n <li>Demonstrated expertise in ETL/ELT design, workflow orchestration, and pipeline automation tools such as Apache Airflow, Prefect, Dagster, or similar technologies.</li>\n <li>Experience working with cloud platforms and modern data technologies such as AWS, Azure, Snowflake, NoSQL databases, and CI/CD pipelines.</li>\n <li>Strong understanding of data modeling, performance optimization, data governance, and secure data handling practices.</li>\n <li>Excellent analytical, troubleshooting, communication, and collaboration skills.</li>\n <li>Experience supporting analytics, research, or data-intensive business environments is strongly preferred.</li>\n</ul>\n<p><strong>Salary: </strong>$160,00 - $174,500</p>\n<p> </p>\n<p><strong>Additional benefits include:</strong> </p>\n<ul>\n <li>Paid Time Off & Holiday Pay</li>\n <li>Medical Insurance</li>\n <li>Dental Insurance</li>\n <li>Vision Insurance</li>\n <li>Disability, Life Insurance, and AD&D</li>\n <li>Flexible Spending Accounts</li>\n <li>Pre-Tax 401K and/or After-Tax Roth IRA (with employer matching contribution)</li>\n <li>Tuition and Technical Training Reimbursement</li>\n <li>Exercise Reimbursement</li>\n <li>Computer Reimbursement</li>\n <li>Employee Assistance Program</li>\n</ul>\n<p><strong>Physical Demands:</strong> The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. </p>\n<ul>\n <li>While performing the duties of this job, the employee may be regularly required to stand, sit, talk, hear, reach, stoop, kneel, and use hands and fingers to operate a computer, telephone, keyboard, and standard office equipment</li>\n <li>Specific vision abilities required by this job include close vision requirements due to computer work</li>\n <li>The employee must occasionally lift and/or move up to 15 pounds</li>\n <li>Fine hand manipulation (keyboarding)</li>\n</ul>\n<p><strong>Work Environment:  </strong><em>The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</em></p>\n<ul>\n <li>Exposure to general office conditions while conducting office duties</li>\n <li>Moderate noise (i.e., business office with computers, phone, and printers, light traffic)</li>\n <li>Ability to work in a confined area</li>\n <li>Ability to sit at a computer terminal for an extended period</li>\n</ul>\n<p><strong>Working at Edgewater Federal Solutions:</strong></p>\n<p>Edgewater Federal Solutions is a privately held government contracting firm located in Frederick, MD. The company was founded in 2002 with the vision of being highly recognized and admired for supporting customer missions through employee empowerment, exceptional services, and timely delivery. Edgewater Federal Solutions is ISO 9001, 20000-1, 270001 certified, appraised at CMMI Level 3 Maturity for Development and Services, and has been named in the Top Workplaces in the Greater Washington Area Small Companies since 2018.</p>\n<p><strong> </strong></p>\n<p><strong>Edgewater Federal Solutions is an Equal Opportunity Employer. It has been and continues to be our policy to provide equal employment to all employees and applicants for employment without regard to race, color, religion, gender, national origin, age, disability, marital status, veteran status and/or other status protected by applicable law. </strong></p>",
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    "responsibilities": "- Design, develop, and maintain scalable data pipelines, ETL/ELT workflows, and integration processes across multiple data sources.\r\n- Build and optimize enterprise data models, databases, data warehouses, and cloud-based storage solutions to support reporting and analytics.\r\n- Ensure data quality, integrity, availability, and security through validation, monitoring, troubleshooting, and performance tuning.\r\n- Collaborate with analysts, economists, researchers, developers, and business stakeholders to gather requirements and deliver effective data solutions.\r\n- Implement workflow orchestration and automation tools to streamline data movement and processing.\r\n- Support migration of data pipelines and workloads between on-premises and cloud environments.\r\n- Develop and maintain scripts, services, and reusable components using Python, SQL, and other relevant programming languages.\r\n- Perform root cause analysis of data and process issues and recommend improvements to architecture, performance, and governance.\r\n- Create and maintain technical documentation, standards, and best practices for data engineering and platform operations.\r\n- Provide technical leadership and mentorship to junior team members while promoting DataOps, CI/CD, and engineering best practices.",
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