Data Engineer at Plymouth Rock Assurance Corporation
Boston, MA
$98,000–$142,000from the description
Aug 17, 2026
Boston, MA
Aug 20, 2026
What this job asks for AI summary
A data engineering role on Plymouth Rock's Enterprise Advanced Analytics team, focused on designing, building, and optimizing data pipelines that connect internal systems, third-party sources, and cloud-based analytical platforms. The engineer will support a data science team by building ML workflow automation, managing a transition to an AWS data lake, and enforcing data governance. Suits an experienced data engineer comfortable across Python, Snowflake, and AWS services.
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.
Posted 4 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
Roughly 2 people in the Boston, MA area plausibly meet what this posting asks for (database architects). range 1–3
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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 $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 Aug 20, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role sits at the intersection of data/pipeline engineering (15-1243) and ML/data science support (15-2051). The primary day-to-day work is building and managing data pipelines, ETL/ELT, and a cloud data lake, which tips the classification toward 15-1243 (Database Architects), but the heavy SageMaker and ML workflow emphasis makes 15-2051 a genuine runner-up.
The qualifications section lists Snowflake, dbt, Fivetran, AWS Glue, Python, SageMaker, DB2, SQL Server, and Informatica together as a single block of required experience — all are marked required accordingly.
AWS security and governance tools (IAM, KMS, Lake Formation, VPC) are described with 'familiarity' language in a narrative paragraph rather than a hard-requirements block, so they are marked preferred.
Terraform and CloudFormation appear as alternatives to Jenkins/GitHub Actions in the CI/CD requirement; they are also listed separately as preferred since the posting treats them as interchangeable options rather than all being required.
R and SAS are explicitly called a 'bonus for legacy code' — marked preferred.
The posting mentions 'Padman' which is almost certainly a typo for 'Podman'; captured as an alternative to Docker.
The 5–6 years figure in the qualifications block is used as the overall years minimum (minimum of the range = 5); a separate '3+ years' requirement is scoped specifically to data/ML pipeline engineering experience, not the overall role.
Read the full posting
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