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Manager Data Engineering Jobs in Massachusetts (NOW HIRING)

HarbourVest

Vice President, Data Engineering

Boston, MA · Hybrid

$245K - $275K/yr

... Data Engineering to lead the strategy, execution, and scaled delivery of our private equity data ... Unlike pure management roles, this position requires active technical engagement in architecture ...

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All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Massachusetts

Manager Data Engineering information

See Massachusetts salary details

$33.9K

$106.1K

$187.8K

How much do manager data engineering jobs pay per year?

As of Jul 20, 2026, the average yearly pay for manager data engineering in Massachusetts is $106,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,100.00 and $137,100.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

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.

What are Manager Data Engineering roles and responsibilities?

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.

How does a Manager of 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 are the most commonly searched types of Data Engineering jobs in Massachusetts? The most popular types of Data Engineering jobs in Massachusetts are:
What are popular job titles related to Manager Data Engineering jobs in Massachusetts? For Manager Data Engineering jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Massachusetts look for? The top searched job categories for Manager Data Engineering jobs in Massachusetts are:
Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Massachusetts as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $106,094 per year, or $51 per hour.
Senior Analyst, Data Engineering

Senior Analyst, Data Engineering

Dell, Inc.

Hopkinton, MA

$102K - $132K/yr

Full-time

Posted 4 days ago

New

Job description

Sr. Analyst, Data Engineering 

Data Engineering is the practice of designing, building, and maintaining systems that collect, store, process, govern, and analyze large volumes of data required by analysts, data scientists, and AI/ML applications. It serves as the foundation for enabling data-driven insights, intelligent automation, and AI-powered decision-making across the organization.

What You'll Achieve

Data Management, Engineering & AI Enablement - ETL/ELT processing, data transformation, data quality, governance, security, and AI-ready data architectures across enterprise platforms. You will help enable trusted, high-quality data to support analytics, reporting, machine learning, agentic AI solutions, and operational decision-making.

Who We Are

We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy.

Visit our Culture Code page to learn more about how we work and lead.

Essential Requirements:

Databases & SQL: Proficiency in Teradata, PostgreSQL, and SQL for querying, transforming, profiling, and validating data, with a strong understanding of relational, dimensional, and analytical data models to accurately map source-to-target schemas

ETL/ELT & Development Practices: Experience with Informatica, Apache Airflow, or comparable data integration platforms, along with familiarity with version control and CI/CD practices using Git-based development workflows

Programming & Automation: Proficiency in Python for automation, orchestration, and custom data solutions, with the ability to manage unexpected data quality issues, platform constraints, and migration challenges with agility

Data Quality & Governance: Understanding of data lineage, metadata management, master data management (MDM), and governance concepts to ensure data integrity and compliance throughout the data lifecycle

AI-Ready Data Engineering:  Knowledge of data preparation, feature engineering concepts, and dataset management for AI/ML workloads, enabling trusted and well-governed datasets for advanced analytics and model development

Desirable Requirements:

 Analytics, Reporting & Modern Data Platforms: Knowledge of Power BI or other visualization tools, experience with Airflow, enterprise schedulers, SSIS, SSRS, and Tabular OLAP/semantic modeling, along with understanding of MLOps, DataOps, cloud-native data services, modern lakehouse architectures, and data observability/automated anomaly detection solutions

AI & Intelligent Automation: Exposure to machine learning and AI technologies for automation and operational efficiency, including familiarity with Agentic AI concepts (LLMs, prompt engineering, vector databases, semantic search, responsible AI/AI governance), experience using AI-powered productivity tools such as GitHub and Devin, and understanding of modern AI-driven development practices

Compensation

Dell is committed to fair and equitable compensation practices. The salary range for this position is $102,000 - $132,000.

Benefits and Perks of working at Dell Technologies

Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com

You Will:

Data Migration & Mapping:  Analyze source and target database structures, identify data dependencies, constraints, and transformation needs, and create source-to-target mapping documents with defined transformation rules and business logic in collaboration with stakeholders

 Data Pipeline Design & Architecture:  Work with structured and unstructured data to design and implement scalable data pipelines that support analytics, AI, and machine learning workloads, aligning schemas, relationships, and data models with data architects

Data Quality & Governance: Develop processes to improve data quality, observability, lineage, and governance while ensuring data platforms comply with enterprise security, privacy, and responsible AI standards

AI/ML Enablement & Agentic AI Support: Partner with data scientists, AI engineers, and business teams to enable trusted datasets for AI/ML model development and support implementation of data solutions for Agentic AI use cases

AI-Driven Development & Automation: Leverage AI-assisted development tools to improve productivity and documentation quality, and evaluate opportunities for intelligent automation using AI and machine learning techniques within data engineering processes

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About DELL

Sourced by ZipRecruiter

Dell Technologies helps organizations and individuals build a brighter digital tomorrow. Our company is made up of more than 150,000 people, located in over 180 locations around the world. We're proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Round Rock, TX, US

Year founded

1984

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