Boston, MA

Salary
Posted
Jul 14, 2026
Location
Boston, MA
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A senior data engineering role focused on building and optimizing cloud data platforms in Snowflake for financial services clients. Day-to-day work involves designing ELT/ETL pipelines, dimensional data models, and orchestration workflows, while advising business stakeholders on reporting and analytical needs. The position suits an experienced engineer with a consulting background and deep familiarity with financial services domains such as banking, capital markets, or insurance.

Senior level · 7+ years · Remote

Must have (10)
Snowflake · 4+ yrsSQLPythonELT/ETLAzure, AWS or GCPdbtAirflowGitCI/CDREST APIs
Nice to have (3)
SnowparkTerraformAzure Data Factory

“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 1,000 people nationally plausibly meet what this posting asks for (database architects). range 430–1,500

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What won't set you apart
SQL90%Python55%CI/CD45%Snowflake42%

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 (8)

No work location or metro is specified in the posting; the role appears to be remote-eligible based on the consulting/distributed nature of the firm, but this is not explicitly stated.

Cloud platform experience (Azure, AWS, GCP) is listed under Required Qualifications with GCP explicitly marked '(preferred)' — Azure and AWS are treated as the hard gate, with GCP captured separately as preferred.

Terraform is listed under Required Qualifications but is explicitly flagged '(preferred)' inline, so it is treated as preferred rather than a hard gate.

Snowpark, stored procedures, streams, tasks, and dynamic tables are framed as 'where appropriate' in the responsibilities section rather than as a required qualification — Snowpark is captured as preferred to reflect this.

Azure Data Factory and AWS Glue appear in the responsibilities narrative as examples of orchestration tooling ('or similar'), not as standalone required qualifications; they are captured as preferred with each other as alternatives.

Financial Services domain experience and consulting firm experience (e.g., PwC, Deloitte, Accenture) are explicitly required but name no specific technology or tool, so they are not emitted as skills per extraction rules.

The SOC code choice (15-1243 Database Architects) reflects the strong emphasis on data modeling, warehouse design, and pipeline architecture; 15-1252 Software Developers is a credible alternative given the Python/CI/CD/Terraform development scope.

This posting reads as a fully-remote role, so it was scored against the national candidate pool rather than a single metro.

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