Data Engineer II
DriveWealth · New York, NY
$145,000–$165,000from the description
Jul 1, 2026
New York, NY
Jul 21, 2026
What this job asks for AI summary
A mid-level data engineering role focused on building and maintaining batch, streaming, and replication pipelines that feed analytics, reporting, and compliance workflows. The position also involves contributing to a semantic data layer — curated datasets that support self-service analytics across the business. It suits someone with a few years of pipeline and platform experience who is comfortable working across engineering, product, and business teams.
Mid level · 2+ years · New York-Newark-Jersey City, NY-NJ-PA · 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 190 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (database architects). range 140–240
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 $134,433 (middle half $95,331–$179,625). 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 (7)
The role is classified as a Data Engineer building pipelines, semantic layers, and data platforms — primary work is data pipeline/warehouse engineering (ETL, Spark, dbt, Databricks), making 15-1243 the best fit, though the software-development nature of the work (Python, CI/CD, Git) makes 15-1252 a credible runner-up.
All technical skills appear under the 'What You'll Need' requirements section. Despite being framed with 'Familiarity with' language, they are listed as hard requirements — the substitution qualifier on Terraform ('or equivalent') means the specific tool is interchangeable, not that the skill is optional; alternatives have been populated accordingly.
Airflow and dbt are listed together as examples of 'orchestration and transformation tools'; they are treated as interchangeable alternatives for that single requirement rather than two separate gates.
AWS is listed as 'preferred' within the cloud platforms requirement ('AWS preferred'), but cloud platform experience itself is a hard gate; AWS is named as the primary with common alternatives noted.
The degree requirement ('BS in Computer Science or equivalent') accepts equivalent experience, so no formal degree is hard-required.
Fintech/capital markets experience and regulatory/compliance reporting familiarity (FINRA, GDPR) are explicitly called out as 'Nice to Have, But Not Required.'
The role requires 2–3 days/week in-office in the New York City metro; it is not fully remote and the posting explicitly states candidates outside this metro are not a fit.
Read the full posting
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