Big Data Engineer IV at OpenX
Krakow, WI
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Jul 2, 2026
Krakow, WI
Jul 21, 2026
What this job asks for AI summary
A senior engineering role on a core data platform team responsible for designing and maintaining large-scale data processing systems that handle over a petabyte of data daily from billions of ad exchange requests. The work involves building and extending data pipelines, working with distributed processing frameworks and cloud infrastructure, and owning projects from requirements through deployment. Suited to experienced engineers with a strong background in big data systems and distributed architecture.
Senior level · 8+ years · Remote · Bachelor's required
“or” means any one of them counts — you don't need all of them.
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 580 people nationally plausibly meet what this posting asks for (database architects). range 350–1,050
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)
The compensation is quoted in Polish Złoty (PLN) and a B2B hourly rate of 186–208 PLN net/hour is also offered. The posting mentions 'Communicative Polish and English' as a requirement, and the benefits reference Polish-specific programs (PPK from PZU, MultiKafeteria), strongly indicating this role is based in Poland — the US-based flag is set to false accordingly. The caller has instructed remote=true and no metro.
The 8+ years experience requirement covers Java, Scala, or Python as interchangeable options; all three are listed as alternatives on a single skill.
The 3+ years Big Data systems experience is a role-level qualifier, not tied to a single named technology, so it is reflected in the overall years minimum alongside the 8+ years figure (the higher of the two governs).
dbt and Dataform are listed as examples of SQL-based transformation tools ('such as dbt or Dataform') within a required qualifications block — treated as a single interchangeable requirement.
A Master's degree is explicitly called 'a plus' — only the Bachelor's is a hard gate.
SOC classification is Medium confidence: the role is primarily a data platform/pipeline engineering role (ETL, Spark, BigQuery, dbt), which sits between 15-1243 Database Architects (pipeline/warehouse building) and 15-1252 Software Developers (general software engineering at scale). 15-1243 was chosen as the primary given the dominant focus on data pipeline architecture and warehouse tooling.
Caller marked this a fully-remote role — scored against the national candidate pool.
This role's work location reads as outside the US — the candidate pool, comp, and contention benchmarks here are US-only (BLS employment, Adzuna/USAJOBS demand, and certified H-1B wages), so treat them as a rough US reference, not a local market.
Read the full posting
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