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

Xometry

Staff Data Engineer

Waltham, MA · On-site

... managers, data scientists, business stakeholders, and partner partner engineering teams to translate requirements into robust technical solutions * Mentor and elevate - Guide other engineers through ...

Xometry

Staff Data Engineer

Waltham, MA · On-site

... managers, data scientists, business stakeholders, and partner partner engineering teams to translate requirements into robust technical solutions * Mentor and elevate - Guide other engineers through ...

RA Capital Management, LLC

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

About the Team RA Capital's Data Engineering team builds the enterprise data platform that powers ... Experience in software development, data integration, vendor data management, and writing ...

Cushman & Wakefield

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Excellent documentation, communication, and stakeholder management skills; comfortable operating as the technical translator between analytical domain experts and data engineering teams (when ...

Cushman & Wakefield

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Excellent documentation, communication, and stakeholder management skills; comfortable operating as the technical translator between analytical domain experts and data engineering teams (when ...

Cushman & Wakefield

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Excellent documentation, communication, and stakeholder management skills; comfortable operating as the technical translator between analytical domain experts and data engineering teams (when ...

Cushman & Wakefield

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Excellent documentation, communication, and stakeholder management skills; comfortable operating as the technical translator between analytical domain experts and data engineering teams (when ...

BRUNT Workwear

Data Engineer

Reading, MA · On-site

$120K - $145K/yr

... 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 ...

BRUNT Workwear

Data Engineer

North Reading, MA

$119K - $143K/yr

... 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 ...

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Showing results 21-40

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 Aug 11, 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 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?

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 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.

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.
Manager Data Engineering jobs near you

Engineering Manager - Data Automation

Klaviyo

Boston, MA • Hybrid

Full-time

Re-posted 6 days ago

Job description

At Klaviyo, we love tackling tough engineering problems and look for engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last.

Team Overview:

Klaviyo operates a real-time data analytics platform written primarily in Python that is built for massive scale and hosted on Amazon Web Services (AWS). The Data Automation team builds tooling and establishes best practices and technology choices that help enable the Data Platform area to power core Klaviyo functionality and generate data-driven insights.

As a founding member on the Data Automation team, you will have ownership over defining the technical and organizational vision for the team. You will be responsible for leading the team to design and build systems that help us operate our mission critical analytics infrastructure.

Team Tech Stack:

  • AWS
  • Terraform
  • Python
  • Kubernetes
  • Clickhouse
  • DynamoDB
  • MySQL
  • Kafka
  • Spark
  • Flink
  • Airflow

How You'll Make a Difference

  • You will be responsible for building and managing a team of 7+ engineers to fulfill your data automation vision and roadmap.
  • Responsible for coaching engineers, managing/reviewing technical documentation and articulating a phased approach to achieving the team's overall technical vision.
  • Be responsible for the mission, technical direction and operations of projects that have immediate impact.
  • Wholly owning the frameworks that enable us to provision, update, test, monitor, and scale infrastructure to power features that 183,000+ customers rely on daily to reach 4B+ consumers to drive their business forward.
  • Optimizing infrastructure with the teams that own Klaviyo's analytics system that provides insight on hundreds of terabytes of data.
  • Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Required Skills

  • BA or BS Degree in Computer Science, related field, or equivalent experience
  • 8+ years of software engineering experience in a DevOps environment with specific experience in data processing systems.
  • 3+ years of people management experience
  • Hands-on experience designing, building, and operating reliable, fault-tolerant, and high performance distributed systems
  • Ability to handle yourself in outage situations and to drive failures to root cause analysis and prevention of future issues
  • Experience writing code using best practices in a language such as Python, Ruby, Go, etc.
  • You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
  • Proven ability to come up to speed quickly
  • Hybrid office work 3x/week out of our Boston office

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

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