Data Engineer - Snowflake, Databrick, DBT, ETL- W2 position - Independent consultant at Syncreon Consulting
Seattle, WA
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Jul 16, 2026
Seattle, WA
Jul 21, 2026
What this job asks for AI summary
A data engineering role focused on building and maintaining ETL/ELT pipelines that ingest data from enterprise SaaS platforms — including Salesforce, Dynamics 365, Workday, Coupa, and Concur — into Databricks, DBT, and Snowflake. The work involves designing reusable data models, implementing data quality and lineage practices, and delivering feature-ready datasets to support AI/ML workloads. Suits engineers with hands-on experience across those specific tools and platforms.
Senior level · National
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
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 $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; CBSA and state are left blank. The recruiter contact is in the 229 area code (Albany, GA region), but this is not a reliable indicator of the role's location.
No employment type, compensation, or experience-year requirements are stated anywhere in the posting.
The role sits at the boundary between data/pipeline engineering (15-1243 Database Architects) and general software development (15-1252); the primary day-to-day work — building ETL/ELT pipelines, data models, and data quality frameworks in Databricks/dbt/Snowflake — aligns most closely with 15-1243.
Unity Catalog is mentioned parenthetically as part of the Databricks requirement in the Requirements section, but reads more as a sub-feature context than a standalone hard gate; listed as preferred accordingly.
The enterprise SaaS systems (Salesforce, D365, Coupa, Workday, Concur) appear in both the Requirements and Responsibilities sections, indicating hands-on integration experience is expected.
Seniority assessed as Senior based on the breadth of platform expertise required (multiple enterprise SaaS integrations, performance tuning, governance, AI/ML feature delivery) despite no explicit years or level stated.
Read the full posting
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