Data Engineer
Spectraforce Technologies
Richmond, VA · Posted November 2, 2026
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Where Richmond, VA ranks
Where Richmond, VA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #5Cities with the most jobs that do not need a four-year degree in the Mid-Atlantic136 jobs · of 47
- #7Best cities for education pay after cost of living$85k · of 8
- #7Best all-round cities for new graduates in the Southeast59 / 100 · of 33
- #9Cities with the most jobs that do not need a four-year degree in the Southeast136 jobs · of 72
- #9Best cities for junior jobs in Virginia35% · of 26
- #10Best all-round cities for new graduates in the Mid-Atlantic58 / 100 · of 37
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 203 open data engineer listings that state pay, the middle half runs $116,500 to $158,500 and the median is $135,000.
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
...: Virgina Key Responsibilities: •Design, develop, and maintain data pipelines leveraging Python, Spark/PySpark, and cloud-native services... ...issues. •Collaborate with data scientists, analysts, platform engineers, and product teams to enable reliable, high-quality data access...