DBT Investment Lead Data Engineer
001 Mass Financial Services · Boston, MA
$110,000–$158,500from the description
Jul 19, 2026
Boston, MA
Jul 21, 2026
What this job asks for AI summary
A lead data engineering role focused on building and maintaining investment data infrastructure using dbt and Snowflake. Day-to-day work involves designing data models, constructing data pipelines, integrating transformation and validation tools, and ensuring data quality across ingestion and delivery workflows. Suited to engineers with a strong SQL and data warehousing background who have some familiarity with financial instruments and asset management data.
Senior level · 5+ years · Boston, MA · Bachelor's required · 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 65 people in the Boston, MA area plausibly meet what this posting asks for (database architects). range 30–100
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 $165,205 (middle half $137,427–$177,039). 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 role title is 'DBT Investment Lead Data Engineer' with no explicit seniority level in the title; advertised seniority is set to Unspecified. The 5-6+ years of overall experience and 2-4 years of SQL experience support a Senior classification.
Snowflake is listed under requirements as 'highly preferred' rather than a hard gate, but given its centrality to the role (dbt models are built within Snowflake) and the strength of the language, it is treated as a hard requirement here.
Cloud platform experience (Azure, GCP, or AWS) is listed as required; Azure is used as the primary name with GCP and AWS as alternatives since all three are explicitly named as interchangeable options.
AI/ML familiarity (AI-assisted development, automation) appears only under Preferred Qualifications and is explicitly described as 'a plus'.
The role is hybrid (not fully remote) per the posting's '#LI-HYBRID' tag and MFS's stated hybrid policy.
The posting does not specify a city explicitly, but MFS is headquartered in Boston, MA, and the role references in-person collaboration; Boston CBSA is inferred.
Financial services domain experience and asset management industry knowledge are listed as desired/preferred rather than hard gates, so no concrete technology skills were extracted from those sections.
The alt SOC 15-1252 (Software Developers) is noted because the role involves significant pipeline and platform software development, not just data modeling and architecture.
Read the full posting
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