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Manager Data Engineering Jobs in Wayland, MA (NOW HIRING)

MFS

Software Engineering Sr. Data Engineer

Boston, MA · On-site +1

$98K - $141K/yr

THE ROLE In conjunction with the Investment Data Management Office, the Senior Data Engineer contributes to a long-term strategic initiative to unify and harmonize our investment data. This ...

GEI Consultants

Data Engineer

Wakefield, MA · On-site

$120K - $145K/yr

This includes building ingestion pipelines, managing data stores, implementing quality and ... Minimum Qualifications * 4+ years of data engineering experience, with demonstrated ability to ...

GEI Consultants

Data Engineer

Wakefield, MA · On-site

$90K - $150K/yr

This includes building ingestion pipelines, managing data stores, implementing quality and ... Minimum Qualifications * 4+ years of data engineering experience, with demonstrated ability to ...

GEI Consultants

Data Engineer

Wakefield, MA

$90K - $150K/yr

This includes building ingestion pipelines, managing data stores, implementing quality and ... Minimum Qualifications * 4+ years of data engineering experience, with demonstrated ability to ...

Hasbro

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Develop familiarity with data governance principles, including metadata management and data lineage. What You'll Bring * 1-3 years of hands-on experience in data engineering, software engineering, or ...

Starburst

Senior Product Manager, Data Federation

Boston, MA · On-site

$137K - $181K/yr

You'll work alongside the Managed Icehouse and Compute Engine PMs, plus engineering and go-to-market, to set the federation vision and drive it through execution. As Senior Product Manager, Data ...

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Showing results 41-60

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Wayland, MA

Manager Data Engineering information

See Wayland, MA salary details

$35.6K

$111.7K

$197.8K

How much do manager data engineering jobs pay per year?

As of Sep 3, 2026, the average yearly pay for manager data engineering in Wayland, MA is $111,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,900.00 and $144,300.00 per year, depending on experience, location, and employer.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are popular job titles related to Manager Data Engineering jobs in Wayland, MA?

For Manager Data Engineering jobs in Wayland, MA, the most frequently searched job titles are:

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Wayland, MA as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $111,702 per year, or $53.7 per hour.

Director - Data & Systems Engineering

Diamond Generating Corporation

Boston, MA • On-site

$274K/yr

Full-time

Re-posted 11 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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