Data Engineer
Analytica
Washington, DC · Posted November 1, 2026
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Where Washington, DC ranks
Where Washington, DC placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Cities hosting the most business conferences in the Mid-Atlantic104 conferences · of 12
- #1Cities hosting the most government & public sector conferences18 conferences · of 29
- #1Cities hosting the most accounting & audit conferences8 conferences · of 14
- #1Cities hosting the most finance conferences9 conferences · of 24
- #1Cities hosting the most legal conferences10 conferences · of 10
- #2Best cities for sales pay after cost of living$169k · of 45
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 302 open data engineer listings that state pay, the middle half runs $112,500 to $159,000 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
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
...Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial regulatory agency. This program entails developing, deploying, and maintaining secure, scalable data pipelines and platform services within the AWS and Databricks ecosystem...