Senior Data Engineer
Strategic Staffing Solutions
Mclean, VA · Posted November 3, 2026
Just laid off? Start here: a plan for the first weeks
See every open role at Strategic Staffing Solutions
More in Virginia job market · All Senior Data Engineer jobs (441) · Technology & Software · Data & Analytics jobs
Similar jobs
- Senior Data Engineer · Caci-Iss · Arlington, VA
- Data Engineer · Caci, Inc. - Federal · Chantilly, VA
- JIATF 401 Data Engineer · Caci, Inc. - Federal · Alexandria, VA
- Data Engineer · Caci, LLC - Commercial · Arlington, VA
- Senior Data Engineer - Army Vantage/Palantir Foundry · Caci-Iss · Ashburn, VA
- Lead Data Architect · Caci, LLC - Commercial · Arlington, VA
Where Mclean, VA ranks
Where Mclean, VA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best all-round cities for mid-career professionals in the Mid-Atlantic79 / 100 · of 37
- #1Best all-round cities for mid-career professionals in the Southeast78 / 100 · of 33
- #1Best all-round cities for AI careers in the Southeast91 / 100 · of 33
- #2Best cities for AI-skill jobs in the Southeast17% · of 87
- #2Best all-round cities for AI careers in the Mid-Atlantic89 / 100 · of 37
- #3Best cities for entry-level jobs that want AI skills in the Southeast10% · of 77
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 149 open senior data engineer listings that state pay, the middle half runs $137,000 to $184,500 and the median is $152,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among database architects, AI is already used for a large share of the tasks. Measured exposure for database architects: 58% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
Job Title: Senior Data Engineer
Location: McLean, VA
Duration: 7 Months
Pay Rate: $75 - $85/HR (W2 Only)
Job/Role Description:
We are seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data pipelines and data processing solutions within a large enterprise environment.
Develop, implement, and optimize data engineering solutions using Python, Scala, SQL, and AWS technologies.
Design, build, and maintain ETL/ELT pipelines to support data integration, transformation, and processing.
Utilize AWS services, including EMR and Glue, to develop and manage cloud-based data processing solutions.
Develop and integrate REST APIs to support data exchange between applications and systems.
Build and maintain real-time data streaming solutions using Apache Kafka.
Write, optimize, and troubleshoot complex SQL queries for data extraction, transformation, and analysis.
Collaborate with cross-functional teams to deliver reliable data solutions.
Ensure data quality, integrity, performance, and scalability across data platforms.
Troubleshoot and resolve data pipeline issues while identifying opportunities for performance improvements.
Support enterprise data engineering initiatives and contribute to the development of efficient, scalable data architectures.
Required Qualifications:
5–10 years of professional experience in data engineering or a closely related field.
Strong programming experience with Python and Scala.
Hands-on experience with Amazon Web Services (AWS).
Experience with AWS EMR and AWS Glue for data processing and ETL development.
Strong SQL skills, including complex queries, data transformations, and performance optimization.
Experience developing and integrating REST APIs.
Hands-on experience with Apache Kafka for real-time data streaming and processing.
Experience designing, developing, and maintaining scalable data pipelines.
Strong understanding of data integration, ETL/ELT processes, and distributed data processing.
Experience working with large datasets in enterprise environments.
Experience with Artificial Intelligence (AI) or AI-related technologies is preferred.
Strong analytical, troubleshooting, and problem-solving abilities.
Excellent interpersonal, written, and verbal communication skills.
Ability to collaborate effectively with cross-functional technical teams.
Strong organizational skills and attention to detail.
Ability to manage multiple priorities and deliver solutions in a fast-paced environment.
Willingness to work onsite in McLean, VA preferred; candidates available to work from other designated company locations may also be considered.