Data Engineer (AWS, Azure, GCP) at CapTech Consulting
Richmond, VA
$90,000–$200,000from the description
Jun 29, 2026
Richmond, VA
Jul 21, 2026
What this job asks for AI summary
A consulting role focused on building and maintaining cloud-based data pipelines and data products for enterprise and government clients, primarily using AWS, Azure, or GCP. Day-to-day work involves ingesting and processing data from multiple sources, advising clients on cloud data architecture, and collaborating with analysts, scientists, and business stakeholders. Suits engineers with hands-on production pipeline experience and solid SQL and cloud platform skills.
Senior level · National · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 3 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The role title is 'Data Engineer – Cloud' with no seniority level in the title; advertised seniority is Unspecified. However, the scope — advising clients on architecture, articulating trade-offs, and delivering production data systems in a consulting context — supports a Senior classification.
SOC classification is a genuine judgment call: the role centers on designing and building data pipelines and data architecture (15-1243 Database Architects), but the heavy emphasis on coding pipelines and cloud infrastructure could also support 15-1252 Software Developers. 15-1243 was chosen as the primary because data architecture design and advising clients on data systems is the stated core.
No specific degree is required; the JD explicitly accepts hands-on experience, certifications, bootcamps, or other learning as equivalent.
Cloud platform experience (AWS, Azure, or GCP) is the one hard-gated technical requirement, drawn from the qualifications section. All specific technology categories (languages, databases, DevOps tools, additional technologies) are listed under a 'Skills' section framed as 'usually have demonstrable experience with technologies in some of these categories' — clearly preferred, not hard gates.
The role is not fully remote; CapTech states employees must be available to work onsite at client locations or CapTech offices as requested, with remote work permitted only when compatible with client needs.
No specific location is stated in the posting; CapTech is headquartered in Richmond, VA, but this appears to be a national consulting role with variable client site locations.
The broad $90,000–$200,000 base pay range reflects CapTech's stated intent to calibrate compensation to skills, experience, job level, and geography across a consulting firm with multiple seniority levels.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data pipeline development.
Read the full posting
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