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Director Data Engineer Jobs in Massachusetts (NOW HIRING)

Socket.dev

Director, Data & Technology

Cambridge, MA · On-site

$192 - $253/hr

THE ROLE Terrana is seeking a Director, Data Technology to develop and lead the company-wide ... Data Engineering-establishment and governance of FAIR data, resilient data systems, and cost ...

New

HarbourVest

Director, Data Engineering

Boston, MA · Hybrid

$220K - $230K/yr

Our Quantitative Investment Science group is seeking a Lead Data Engineer to fully manage and deliver our private equity data platform. This hands-on leadership role requires a proven history of ...

Hasbro

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

... directed work. * Solid foundation in SQL; experience writing queries to extract, transform, and ... Understanding of core data engineering concepts: ETL/ELT pipelines, data warehousing, and batch ...

Hasbro

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

... directed work. * Solid foundation in SQL; experience writing queries to extract, transform, and ... Understanding of core data engineering concepts: ETL/ELT pipelines, data warehousing, and batch ...

New Balance

Director, Data Products

Boston, MA · On-site

JOB MISSION: The Director, Data Products is responsible for building and leading New Balance ... Partner with consumers, digital product teams, and engineering to continuously evolve and embed the ...

Warrior Sports, Inc.

Director, Data Products

Boston, MA · On-site

$198.90 - $258.30/hr

Overview The Director, Data Products is responsible for building and leading New Balance ... Partner with consumers, digital product teams, and engineering to continuously evolve and embed the ...

Geode Capital Management

Data Engineer

Boston, MA · Hybrid

$130K - $155K/yr

The engineer will report to the Director of Data Engineering and will focus on designing and building scalable data solutions, working closely with various operations teams, data analysts, architects ...

Geode Capital Management LLC

Data Engineer

Boston, MA · On-site

$130K - $155K/yr

The engineer will report to the Director of Data Engineering and will focus on designing and building scalable data solutions, working closely with various operations teams, data analysts, architects ...

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All JobsData Engineer JobsDirector Data Engineer JobsDirector Data Engineer Jobs in Massachusetts

Director Data Engineer information

See Massachusetts salary details

$56.2K

$161K

$215.1K

How much do director data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for director data engineer in Massachusetts is $161,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,700.00 and $214,100.00 per year, depending on experience, location, and employer.

What does a director data engineer do?

A Director Data Engineer leads teams responsible for designing, building, and maintaining large-scale data architectures and infrastructure within an organization. They oversee data engineering projects, establish data management best practices, and ensure data systems are scalable, secure, and reliable. Additionally, they collaborate with other departments, such as analytics and IT, to align data strategies with business goals while mentoring and managing junior engineers.

What are the key skills and qualifications needed to thrive as a director data engineer, and why are they important?

To thrive as a Director Data Engineer, you need advanced expertise in data architecture, data modeling, and large-scale data processing, typically backed by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), big data tools (like Hadoop, Spark), and relevant certifications (e.g., Google Cloud Certified - Professional Data Engineer) is critical. Strong leadership, strategic thinking, and effective communication skills set top performers apart in this role. These abilities are vital for designing robust data solutions, leading high-performing teams, and aligning data initiatives with organizational goals.

How does a director data engineer typically collaborate with other departments to drive business objectives?

A Director Data Engineer works closely with cross-functional teams such as product management, analytics, and IT to align data infrastructure and engineering strategies with overall business goals. They facilitate communication between data engineering teams and key stakeholders, ensuring that data solutions address real business needs and support decision-making. This role often involves leading meetings, prioritizing projects based on cross-departmental feedback, and translating technical requirements into actionable plans for their teams. Effective collaboration is essential for delivering scalable, high-impact data solutions across the organization.

How much does a director data engineer make in the US?

A director data engineer in the US typically earns between $130,000 and $180,000 annually, with salaries varying based on experience, location, and company size. They often oversee data teams, manage large-scale data infrastructure, and require expertise in tools like SQL, Python, and cloud platforms.

What are the most commonly searched types of Data Engineer jobs in Massachusetts?

The most popular types of Data Engineer jobs in Massachusetts are:

What are popular job titles related to Director Data Engineer jobs in Massachusetts?

For Director Data Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Director Data Engineer jobs in Massachusetts look for?

The top searched job categories for Director Data Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Director Data Engineer jobs?

Cities in Massachusetts with the most Director Data Engineer job openings:

Director Data Engineer jobs near you
Infographic showing various Director Data Engineer job openings in Massachusetts as of June 2026, with employment types broken down into 3% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $161,046 per year, or $77.4 per hour.

Director - Data & Systems Engineering

Diamond Generating Corporation

Boston, MA • On-site

$274K/yr

Full-time

Posted 28 days ago

Job description

Director - Data & Systems Engineering- Job Description
LocationBoston, MA (Hybrid)Reports ToCIOTeam Size10 Engineers Across Data, Software, AI, and Platform EngineeringRole TypeHands-on player-coach; Director + Principal Architect profilePrimary StackPython, Snowflake, FastAPI, Redis, PostgreSQL, Databricks Azure, APIs, Distributed Systems, AI/LLM Platforms
Director - Data & Software Engineering, is responsible for leading BETM's core Data Engineering and Software Engineering functions. This role owns the architecture, delivery, and operational excellence of enterprise data platforms, APls, backend services, software applications, and engineering practices that support trading, risk management, asset management, analytics, operations, and internal business platforms.
The role is primarily focused on data platform leadership and software engineering execution. The successful candidate will guide engineering teams, establish technical standards, drive modernization, oversee delivery of business-critical systems, and ensure platforms are scalable, secure, reliable, maintainable, and cost-effective. This leader must be hands-on enough to review architecture, challenge design decisions, understand code-level tradeoffs, and coach engineers toward pragmatic, high-quality solutions.
While this is not intended to be a dedicated Al Architect role, the Director must have a strong working understanding of Al Engineering and collaborate closely with the Al Architect to ensure BETM's data, API, and software platforms are ready for Al-enabled use cases. This includes supporting RAG patterns, semantic layers, governed data access, vector/search integrations, model-facing APls, observability, evaluation workflows, and responsible Al controls in partnership with the Al Architect and broader technology leadership.
Key Responsibilities
  • Lead and develop engineers across Data Engineering, Software Engineering, API development, platform services, and production support.
  • Own the strategic direction, architecture, delivery, and operational health of BETM's enterprise data platforms and major software systems.

  • Architect and develop latest trading and asset management platforms for management of client's assets and trade in the ISO markets.
  • Establish engineering standards, development practices, documentation expectations, delivery discipline, code quality, testing practices, and operational readiness expectations.
  • Define architecture standards for data platforms, APls, backend services, business applications, distributed systems, and cloud-native engineering solutions.
  • Provide technical leadership across Python, SQL, FastAPI, REST APls, PostgreSQL, Redis, Snowflake, Azure services, event-driven patterns, and distributed systems.
  • Lead design and modernization of software applications, internal platforms, data-backed products, and legacy systems while balancing delivery urgency with long-term maintainability.
  • Own data engineering strategy, including ingestion pipelines, curated datasets, analytical data models, semantic layers, metadata, lineage, governance, data quality, testing, monitoring, and documentation.
  • Drive Snowflake architecture, performance optimization, workload management, cost governance, access patterns, and platform reliability.
  • Oversee software engineering delivery across APls, backend services, integrations, internal applications, automation workflows, and business-facing platforms.
  • Partner with the Al Architect to ensure data, API, and software platforms support Al Engineering patterns such as RAG, semantic search, embeddings, vector databases, Al evaluation workflows, and model-facing service integration.
  • Collaborate with the Al Architect on Al governance, data access controls, auditability, observability, hallucination-risk mitigation, and responsible Al practices where platform and data engineering decisions are involved.
  • Partner with stakeholders across trading, risk, asset management, operations, analytics, IT, and executive leadership to translate business objectives into actionable engineering roadmaps and delivery plans.
  • Manage prioritization, capacity planning, staffing plans, delivery commitments, stakeholder expectations, and tradeoff decisions across multiple engineering workstreams.
  • Own production supports routines, incident management, monitoring, alerting, runbooks, operational readiness, reliability improvements, and continuous improvement through automation.
  • Drive Cl/CD, secure deployment practices, automated testing, observability, service-level expectations, engineering KPls, and platform health metrics.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or equivalent practical experience.

  • 15+ years of experience in software engineering, data engineering, platform engineering, or architecture.
  • 7+ years of engineering leadership experience managing teams of 10+ engineers across data, software, API, platform, or application engineering functions.
  • Deep hands-on expertise in Python, Snowflake, Databricks, REST API design, FastAPI or comparable API frameworks, distributed systems, and modern software architecture principles.
  • Strong production experience with Snowflake, including data modeling, workload design, query performance, governance, cost optimization, operational monitoring, and platform reliability.
  • Strong experience with PostgreSQL, Redis, Azure cloud services, DevOps practices, Cl/CD pipelines, automated testing, observability, and production operations.
  • Proven experience designing and operating scalable data platforms, data pipelines, curated datasets, semantic layers, data quality frameworks, metadata/lineage practices, and governed analytical systems.
  • Proven experience leading software engineering teams delivering APls, backend services, integrations, internal applications, automation platforms, and business-critical systems.
  • Strong architectural judgment with the ability to review solution designs, evaluate technical tradeoffs, challenge assumptions, and guide teams toward maintainable and cost-effective implementation choices.
  • Working understanding of Al Engineering concepts, including LLMs, RAG, embeddings, vector databases, semantic search, model-facing APls, Al evaluation, observability, and responsible Al controls.
  • Ability to collaborate effectively with an Al Architect and translate Al platform needs into data, API, security, integration, and software engineering requirements.
  • Experience supporting high-availability, business-critical platforms requiring reliability, scalability, security, auditability, monitoring, and disciplined production support.
  • Strong communication skills with the ability to engage executives, business stakeholders, architects, product owners, analysts, and engineering teams.
  • Preferred experience in energy trading, commodities, utilities, financial services, or other data-intensive industries.
  • Preferred experience with Snowflake Cortex, Databricks, Azure OpenAI, Azure Al Services, LangGraph, Semantic Kernel, MCP, or comparable Al/data platform ecosystems, with emphasis on integration and platform readiness rather than pure Al research.

Salary Range: $200,000.00 - $240,000.00

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