Software Engineer - Data at Authentic
New York, NY
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Jul 25, 2026
New York, NY
Jul 26, 2026
What this job asks for AI summary
A data engineering role at an insurtech company, focused on designing and maintaining pipelines that support underwriting models, claims processing, and operational reporting. The work spans building and owning data models from ingestion to delivery, managing a data warehouse, and partnering with internal teams to meet analytical and operational needs. The role suits someone with hands-on production experience using tools such as Snowflake, dbt, and Airflow.
Mid level · 3+ years · 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
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).
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)
No work location is specified in the posting. The company (Authentic) appears to be US-based, but no city, state, or remote/hybrid designation is mentioned — location is genuinely unclear.
The 3–5 year range is stated as a role-level experience requirement; the lower bound (3) is used for the overall years minimum.
Airflow is listed alongside 'or similar orchestration tools' — Prefect, Dagster, and Luigi are captured as alternatives since any modern orchestrator would satisfy the requirement.
AWS is listed under 'Familiarity with' (a softer qualifier) alongside infrastructure-as-code, placing it in the preferred tier rather than a hard gate.
The role sits at the boundary between 15-1243 (Database/Data Architects — pipeline and warehouse building) and 15-2031 (Operations Research Analysts — analytical/reporting use cases). The emphasis on owning data models end-to-end, building warehouse architecture, and ETL/pipeline infrastructure tips it toward 15-1243.
No compensation figures are provided beyond a general mention of 'competitive salary and equity.'
Read the full posting
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