Data Engineer - Sr
Ptrglobal
McLean, VA · Posted November 6, 2026
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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)
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Pay compared with the market
This listing does not state pay. Across 256 open data engineer listings that state pay, the middle half runs $112,000 to $157,500 and the median is $132,500.
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
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About the job
Data Engineer - W2 Only - No C2C
Location: Mclean VA - Hybrid Onsite
Interview - 1 round onsite interview - Local only or some one who is willing to travel to interview
Job Description: Ideal candidates will have experience with building Data integration(ETL) pipelines to transform large volumes of data with speed and quality. Experience will keep applications well managed and ability to respond to production issues promptly is a must for every engineer on the team.
Required Skills:
Strong hands-on experience in data engineering.
Python
Apache Spark
AWS Glue
Apache Airflow
SQL
Databricks
Snowflake
Nice-to-Have Skills:
API development
Pay Range: $75- $80
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.
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