Data Engineer, Engineering & Operations
NBCUniversal · New York, NY
$115,000–$145,000from the description
Jun 29, 2026
New York, NY
Jul 21, 2026
What this job asks for AI summary
A fully remote data engineering role focused on building and maintaining privacy-safe data pipelines, clean room environments, and identity resolution workflows within a large media company's data collaboration ecosystem. The work spans ELT pipeline development, role-based access control, partner onboarding, data quality automation, and cost optimization across cloud platforms. Best suited to engineers with solid SQL and Python experience and hands-on work with Snowflake or Databricks in production settings.
Mid level · 3+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 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
Roughly 2,000 people nationally plausibly meet what this posting asks for (database architects). range 840–3,000
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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)
SOC classification is a close call: the role centers on designing and building data pipelines, ELT workflows, data models, and clean room environments (pointing to 15-1243 Database Architects), but the volume of Python/PySpark coding, library deployment, and software engineering collaboration also fits 15-1252 Software Developers. 15-1243 was chosen as the primary because data architecture, modeling, and pipeline ownership are the dominant day-to-day activities.
The cloud data platform requirement names Snowflake and Databricks as interchangeable examples ('such as Snowflake, Databricks, or similar technologies'); both are captured under one skill with Databricks as an alternative.
The ELT & Orchestration requirement lists Airflow, dbt, Snowpark, and PySpark together under a single 'or similar' framing. Because these are distinct tools that each appear independently elsewhere in the JD's responsibilities, they are emitted as separate required skills rather than collapsed into one.
The degree requirement states 'Bachelor's degree or equivalent practical experience,' which means equivalent experience is explicitly accepted in lieu of a degree — the degree requirement is set to None.
Clean room platforms (Snowflake Clean Rooms, Databricks Clean Rooms, LiveRamp, Habu), ad tech/measurement, identity resolution frameworks, and certifications all appear under the Preferred Qualifications section and are marked accordingly.
Great Expectations appears in the responsibilities narrative as an example tool for data quality checks, not under a required qualifications heading; it is marked preferred.
The salary range of $115,000–$145,000 is stated as bonus-eligible; the bonus component is not quantified.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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