Staff Data Engineer, Core Migrations at Machinify
$230,000–$260,000from the description
Jul 1, 2026
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Jul 21, 2026
What this job asks for AI summary
A staff-level data engineering role focused on owning the complete lifecycle of client data migrations at a healthcare technology company. Day-to-day work involves reverse-engineering undocumented legacy ETL systems, designing and building production Airflow and Spark pipelines, and creating automated reconciliation frameworks to verify data fidelity. The role also carries program management responsibility — coordinating across internal teams and clients from kickoff through go-live. Suits a senior engineer comfortable operating independently across architecture, hands-on coding, and cross-functional delivery.
Staff level · 8+ years · Remote · Full-time
“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 730 people nationally plausibly meet what this posting asks for (database architects). range 440–1,300
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 (7)
SOC classification is a genuine judgment call: the role is titled 'Staff Data Engineer' and centers on building migration pipelines (ETL, Spark, Airflow DAGs, data modeling/architecture), which sits between 15-1243 Database Architects (pipeline/warehouse building, data modeling) and 15-1252 Software Developers (writing production code, distributed systems). 15-1243 was chosen as primary because the dominant work is designing and building data pipelines and migration architectures; 15-1252 is a strong runner-up given the heavy coding emphasis.
The role is explicitly titled and framed as 'Staff' — the JD describes org-wide scope (setting standards and patterns for all future migrations, mentoring L3/L4 engineers, institutionalizing practice-level knowledge), which genuinely supports the Staff band rather than Senior.
AI-assisted development (coding agents such as Claude, Copilot, Cursor) is listed in the core requirements section with firm language ('actively uses… as a force multiplier in daily engineering work'), so it is treated as a hard gate. The specific tools named are captured as alternatives since any equivalent agent satisfies the requirement.
SSIS and T-SQL/SQL Server stored procedures appear in the requirements section as the canonical legacy ETL stack examples ('e.g., From SSIS, SQL Server stored procedures, T-SQL, or equivalent'). The 'or equivalent' qualifier means the specific tools are interchangeable with other legacy ETL stacks, but the underlying capability is a hard gate.
No degree requirement is stated anywhere in the posting.
Compensation is quoted as a base salary range of $230k–$260k/year; the posting notes that meaningful equity is an additional component of total compensation.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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