Senior Data Engineer (HYBRID) at C-4 Analytics
Wakefield, MA
$130,000–$160,000from the description
Jun 29, 2026
Wakefield, MA
Jul 21, 2026
What this job asks for AI summary
A senior-level data engineering role focused on designing and maintaining the data infrastructure that underpins a digital marketing company's AI capabilities. Day-to-day work centers on building production-grade pipelines that move unstructured data into Snowflake, applying database best practices such as sharding, indexing, and normalization, and integrating LLMs and NLP workflows with enterprise data platforms. Suits an experienced engineer with a strong background in Python, SQL, Snowflake, and AWS.
Senior level · 5+ years · Chicago-Naperville-Elgin, IL-IN-WI · Full-time
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
Roughly 4 people in the Chicago-Naperville-Elgin, IL-IN-WI area plausibly meet what this posting asks for (database architects). range 2–5
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $147,490 (middle half $125,240–$168,130). 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 (6)
The role sits at the intersection of data architecture/pipeline engineering (15-1243) and software development (15-1252) — it builds AI pipelines and production-ready data systems but also writes significant application-layer code (Node.js, Lambdas, Python services). 15-1243 was chosen because the primary framing is data architecture, Snowflake mastery, and enterprise data orchestration.
The '5+ years of professional experience in AI and machine learning' is stated in the 'Who You Are' narrative section rather than a formal requirements block; it is treated as the role-level experience floor (the overall years minimum of 5) rather than a per-skill gate.
Python, SQL, Snowflake, AWS, LLMs, and NLP are called out with firm language ('fluent in', 'master of', 'proven track record of integrating') in the 'Who You Are' section, which functions as the requirements block for this posting.
Node.js, JavaScript, AWS Lambda, AWS Fargate, MongoDB, Angular, TypeScript, and Cursor appear only in the 'Our Tech Stack' table — stack context rather than explicit gates — and are marked preferred accordingly.
The posting does not specify a formal degree requirement.
The office location is not explicitly stated in the posting; C-4 Analytics is headquartered in the Chicago metro area, so Chicago-Naperville-Elgin CBSA was inferred. The role is not fully remote — only office-based or hybrid options are offered.
Read the full posting
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