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Senior Data Engineer

May 27, 2026

<div class="content-intro">Empower, Innovate, Impact! At Team A-TEK, we EMPOWER people to drive INNOVATION that IMPACTS mission! A-TEK operates at the intersection of mission and innovation by applying our deep domain expertise across the federal markets. Embracing our digital-first strategy, A-TEK provides enhanced capabilities in application development, digital transformation, enterprise IT, and scientific services. Our solutions are designed to modernize, automate, secure, protect, and enhance the operations of our federal clients, ensuring they stay ahead in a rapidly evolving digital landscape. Our work is fueled by a passion to serve our clients’ needs and to protect the safety and welfare of Americans. That passion shapes how we nurture our most valuable asset – Our Employees. A-TEK actively cultivates the talent that drives our success and fosters a creative, challenging, and mission-driven work environment for current and future employees. </div>Senior Data Engineer (Cloud & Data Modernization) A-TEK is seeking a Senior Data Engineer to support enterprise data modernization, cloud-native data engineering, analytics enablement, and data governance initiatives for Federal customers. This role focuses on designing and implementing scalable data platforms, automated ETL/ELT pipelines, and modern cloud-based data solutions supporting scientific, operational, and mission-critical environments. The ideal candidate combines strong hands-on engineering expertise with the ability to collaborate across technical and non-technical teams to modernize data ecosystems and improve enterprise data accessibility, quality, governance, and analytics capabilities. NOAA experience is preferred. This position is remote and requires the ability to obtain and retain a public-trust clearance. Responsibilities <ul> <li>Design, develop, and optimize enterprise data warehouses and large-scale ETL/ELT pipelines</li> <li>Engineer cloud-native data processing solutions supporting structured, semi-structured, and unstructured data</li> <li>Develop scalable ingestion and transformation frameworks for high-volume and real-time data processing</li> <li>Support modernization of legacy data environments into cloud-based architectures</li> <li>Design and implement data models, schemas, and database structures optimized for analytics and reporting</li> <li>Develop metadata-driven automation, data quality validation, lineage tracking, and governance capabilities</li> <li>Build and maintain reporting, analytics, and dashboarding solutions supporting operational and executive decision-making</li> <li>Collaborate with architects, engineers, analysts, and business stakeholders to define technical requirements and implementation strategies</li> <li>Support AI/ML and advanced analytics initiatives through scalable data engineering and MLOps-ready infrastructure</li> <li>Implement Infrastructure-as-Code (IaC), CI/CD pipelines, and automated deployment processes</li> <li>Perform database tuning, query optimization, and performance engineering activities</li> <li>Support secure data management and compliance with Federal security and data governance requirements</li> <li>Provide technical leadership, mentoring, and engineering best practices across project teams</li> </ul> Required Qualifications <ul> <li>Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field</li> <li>7+ years of experience in data engineering, data warehousing, database engineering, or related disciplines</li> <li>Strong experience designing and implementing ETL/ELT pipelines and enterprise data warehouse solutions</li> <li>Experience with distributed processing frameworks and cloud-native data ecosystems</li> <li>Strong experience with data modeling, database design, and dimensional modeling techniques</li> <li>Experience implementing data governance, metadata management, data quality, and data integrity controls</li> <li>Proficiency with SQL and Python-based data engineering and automation</li> <li>Experience with cloud data platforms and services in AWS, Azure, or Google Cloud</li> <li>Experience supporting large-scale, modern data modernization initiatives</li> <li>Strong verbal and written communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders</li> <li>Experience collaborating across cross-functional teams in Agile or DevSecOps environments</li> </ul> Preferred Qualifications <ul> <li>NOAA or broader Federal civilian agency experience</li> <li>Experience supporting scientific, environmental, geospatial, or research data environments</li> <li>Experience with GIS or geospatial data platforms</li> <li>Experience with AI/ML data engineering or MLOps support</li> <li>Experience with Infrastructure-as-Code and CI/CD automation</li> <li>Familiarity with metadata management, data catalogs, and enterprise governance frameworks</li> <li>Experience with real-time streaming or event-driven data architectures</li> <li>AWS or Azure certifications</li> </ul> Preferred Technical Skills <ul> <li>SQL Server, PostgreSQL, Oracle, or cloud-native databases</li> <li>Azure Data Factory, SSIS, Informatica, dbt, Airflow, or similar ETL frameworks</li> <li>Azure Synapse, Databricks, Spark, Hadoop, Kafka, or distributed analytics platforms</li> <li>Python, Pandas, NumPy, PySpark</li> <li>Power BI, Tableau, SSRS, or enterprise analytics platforms</li> <li>Docker, Kubernetes, Git, Azure DevOps, Jenkins, Terraform, or similar DevOps technologies</li> <li>REST APIs and data integration services</li> </ul> Compensation <ul> <li>Salary Range: $160,000 – $170,000 annually (commensurate with experience, professional certifications and location)</li> <li>Benefits: Health, dental, and vision insurance; 401(k) with employer match; paid time off; professional development opportunities.</li> </ul> <div class="content-conclusion"> Candidates may use tools (including AI) for proofreading or formatting; however, using any tool to fabricate, exaggerate, or misrepresent qualifications, experience, or work product is not permitted. We may assess application materials for job-related technical depth, internal consistency, and demonstrated hands-on experience, including through follow-up questions, skills assessments, or reference checks. Verification of education may be requested before or during the hiring process. For security and identity verification purposes, participants may be asked to temporarily disable virtual backgrounds during portions of the call. Misrepresentation or falsification may result in removal from further consideration. Candidates who need a reasonable accommodation in the application or interview process may request one. A-TEK, Inc. is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or status as a qualified individual with a disability, or Vietnam era or other protected Veteran status. </div>

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...

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