Top 12 Data warehouse developer Jobs in Quincy, Ma

Data Engineer
BRUNT Workwear —Boston, MA
- $120,000 - $140,000 a year
- Full-time
- 18 years or older
- Office
- SQL
Senior Data Engineer - Analytics
RevSpring Inc —Boston, MA
- Azure
- 5 years
- Bachelor of Science
Quick Apply
Data Engineer – Corporate Technology Data Engineering & Analytics
MassMutual —Boston, MA
- $134,400 - $176,400 a year
- Computer Science
- 5 years
- Mid-level
- Commuter assistance
- Paid holidays
Data Architect / BI Developer - Information Services
Bay Cove Human Services —Boston, MA
- $86,000 - $90,000 a year
- Full-time
- Research
- Mid-level
- SQL
Quick Apply
Senior Data Engineer, Information Technology
CREA, LLC —Boston, MA
- $97,000 - $143,000 a year
- Full-time
- 7 years
- Computer Science
- DevOps
Quick Apply
Principal Engineer, Data Infrastructure
Klaviyo —Boston, MA
- $244,000 - $366,000 a year
- Call employer
- SQL
- Travel
- Mentoring
Senior Business Intelligence Engineer
WilmerHale —Boston, MA
- $150,000 - $185,300 a year
- Full-time
- Computer science
- Computer Science
- Research
- Profit sharing
- Paid holidays
9d
Senior Data Platform Engineer
WHOOP —Boston, MA
- $150,000 - $215,000 a year
- Full-time
- 5 years
- Office
- Java
Senior SQL Developer (Hybrid - Flexible Options)
Broadridge —Boston, MA
- $125,000 - $145,000 a year
- Email
- Hybrid work
- Computer science
- Computer Science
- 5 years

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Data Engineer

BRUNT Workwear
Boston, MA

Apply Now

Job Details

Full-time
$120,000 - $140,000 a year

Qualifications

Jira
Cost management
Looker
Commercial use (data warehousing systems)
Cloud analytics services
Google Data Studio
Data compliance
Data visualization software proficiency
Content creation for technical audiences
Data Integration (Data management)
Tooling
Technical documentation
Infrastructure as Code (IaC)
Data structures
Data retrieval time improvement
Business intelligence report generation
Agile scheduling
Cost control
Schema design
Stored procedures
SQL
Reducing cloud infrastructure costs
Data Architecture Design (Architecture design skills)
Production systems
Data integrity process (data warehousing)
Terraform
Data access controls implementation
APIs
Digital project management boards
Cloud compliance

Full Job Description

We're leading the way in redefining the workwear category. Our mission is to engineer better boots and apparel for our country's tradesmen and women by working directly with real workers to learn what they actually need to execute their jobs.

The BRUNT team is not only devoted to improving on the old workwear standards, but we're also creating a community that tradesmen and women can call their own. From our weekly hangouts at the BRUNT Garage, to hosting events across the country, we're all about getting boots on the ground and building something real with the BRUNT crew.

WHAT YOU'LL DO:

BRUNT is at a pivotal inflection point, transitioning our fast-scaling data environment from a functional BigQuery warehouse into a governed, AI-ready data platform. We are seeking a hands-on Data Engineer to serve as our principal engineering resource, bringing the discipline, documentation rigor, and modern tooling needed to harden and scale our data infrastructure for our next phase of growth.

Reporting to the SVP of Technology within the DevOps team, you will partner closely with two data analysts and our full-stack developers. You will take ownership of the data environment, modernize our existing transformation logic while building the semantic layers and RAG-compatible data stores that will power BRUNT's next generation of intelligent, AI-driven applications.

HOW YOU'LL DO IT:

PLATFORM STABILIZATION & MODERNIZATION

Logic Migration: Lead the knowledge transfer and stabilization of existing BigQuery stored procedures, with a strategic vision to migrate them to dbt over time.
Infrastructure as Code: Utilize tools like Terraform to support reproducible, version-controlled environment provisioning across GCP projects.
Version Control: Establish strict Git history and peer visibility practices so no critical data logic exists without documented context.

PIPELINE ENGINEERING & OPTIMIZATION

ELT/ETL Pipelines: Build, maintain, and optimize robust data flows from critical source systems into Google BigQuery.
Fivetran Administration: Own the health and optimization of 40+ source datasets, managing sync schedules and expanding coverage as new systems onboard.
Design and implement scalable ingestion solutions for non-Fivetran data sources, including structured replacements for file-based ingestion methods.
Performance Tuning: Implement table partitioning, clustering, and incremental load strategies across high-volume tables to optimize query performance and reduce compute costs.

QUALITY, GOVERNANCE & SECURITY

Testing Frameworks: Implement validation checks, schema contracts, and anomaly detection to guarantee the accuracy of data reaching our gold tier.
Data Security: Lead the PII field inventory and column-level security access controls to ensure strict CCPA compliance.
Data Governance: Maintain a centralized data dictionary and field-level definitions that serve both technical and non-technical audiences.

AI ENABLEMENT & COLLABORATION

Semantic Layer: Partner with Full Stack Developers to build a semantic layer over BigQuery, enabling governed, AI-queryable access to data domains.
RAG Architecture: Build and optimize data stores for Retrieval Augmented Generation (RAG) to power BRUNT's next generation of intelligent applications.
Cross-Functional Support: Partner with data analysts to ensure gold-tier datasets are performant and well-structured for Looker Studio dashboards, managing your workflow via Jira within an Agile sprint cadence.
Serve as the technical data engineering point of contact within the DevOps team, translating business-driven data requirements into engineering specifications and delivery plans.

WHAT YOU NEED TO SUCCEED:

Experience: 4–7 years of data engineering experience with demonstrated ownership of production data pipelines, cloud warehouses, and ELT/ETL architectures.
The BigQuery Core: Strong hands-on proficiency with Google BigQuery, including schema design, query optimization, partitioning, clustering, and GCP cost management.
Data Ingestion & Coding: Advanced SQL skills (ability to audit and refactor complex legacy stored procedures) paired with proficiency in Python for API-based ingestion and automation.
Tooling Stack: Deep experience administering managed ingestion platforms like Fivetran and a strong working knowledge of dbt for transformation layer testing and documentation.
AI Architecture (Preferred): Familiarity with Retrieval Augmented Generation (RAG) data structures and experience building semantic layers for LLM or AI agent consumption.
Governance & Security: Working knowledge of cloud data governance, including PII handling, column-level security, and access control implementation.
Infrastructure & BI: Familiarity with Terraform for infrastructure-as-code and Looker Studio (or similar BI tools) to ensure gold-tier data yields performant reporting.
The "Builder" Mindset: A proven track record of operating as a senior individual contributor in lean environments, with a knack for inheriting, auditing, and modernizing legacy data systems.
Team Cadence: Experience working within Agile/Scrum sprint frameworks using Jira, alongside strong technical writing skills for mapping data lineage and runbooks.
Logistics: Must be 18+ with full-time availability (including occasional off-hours support for critical pipeline incidents) and the ability to reliably commute to the office 4x per week

No matter what experience you have within our industry we encourage you to apply. At BRUNT, we believe that a strong crew is assembled with people from different backgrounds.

We look for individuals who thrive on challenges, will be passionate about our brand, and believe that teamwork is necessary for success. Show us how your experiences have shaped you and how you can contribute to BRUNT. We can't wait to hear from you!

Apply Now

Refine Your Search

data warehouse developer jobs in quincy, ma

Data Engineer

Senior Data Engineer - Analytics

Data Engineer – Corporate Technology Data Engineering & Analytics

Data Architect / BI Developer - Information Services

Senior Data Engineer, Information Technology

Principal Engineer, Data Infrastructure

Senior Business Intelligence Engineer

Senior Data Platform Engineer

Senior SQL Developer (Hybrid - Flexible Options)

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