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Martech Data Engineer Jobs in Boston, MA (NOW HIRING)

Eliassen Group

Lead Software Engineer

Boston, MA · On-site

$85 - $90/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

You will define engineering standards, influence long-term platform direction, mentor junior ... MarTech data platforms. Education Requirements: B.E./B.Tech/M.Tech/MCA in Computer Science ...

RUE GILT GROUPE

MarTech Product Manager

Boston, MA · On-site

$110K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

MarTech Product Manager Location: New York or Boston; Hybrid (2 days in the office required ... You will partner closely with Marketing, Data Science, Engineering, Merchandising, and Creative ...

Eliassen Group

Lead Software Engineer

Boston, MA · On-site

$85 - $90/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

You will define engineering standards, influence long-term platform direction, mentor junior ... MarTech data platforms. Education Requirements: B.E./B.Tech/M.Tech/MCA in Computer Science ...

Epsilon

Director, Sales (New Business) - MarTech

Boston, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Access to dedicated solution engineering and executive sponsorship * Selling into organizations ... Background in MarTech, AdTech, data, or adjacent enterprise technology is highly preferred Click ...

New

Epsilon

Director, Sales (New Business) - MarTech

Boston, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Access to dedicated solution engineering and executive sponsorship * Selling into organizations ... Background in MarTech, AdTech, data, or adjacent enterprise technology is highly preferred Click ...

New

America's Test Kitchen

Lead Software Engineer

Boston, MA · On-site

$140 - $160/hr

The Lead Software Engineer (Data and Martech) is a senior technical leader embedded within a Scrum team, responsible for shaping how applications collect, process, and are delivered across the ...

Biogen

Manager, IT Data Integration Lead

Cambridge, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner with data engineering, Data Management (DMA IT), Enterprise Applications Solutions (EAS ... M/MarTech systems (Veeva CRM, SFMC, CDPs). * Strong understanding of integration patterns: API ...

Biogen

Manager, IT Data Integration Lead

Cambridge, MA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner with data engineering, Data Management (DMA IT), Enterprise Applications Solutions (EAS ... M/MarTech systems (Veeva CRM, SFMC, CDPs). * Strong understanding of integration patterns: API ...

America's Test Kitchen

Senior Software Engineer

Boston, MA · On-site

$130K - $150K/yr

... MarTech stack and ecosystem. The successful candidate is a seasoned developer who balances deep ... Work closely with Data & Marketing Technology teams to translate user needs into technical ...

Roku

Sr. Solutions Engineer, Ad Data Ingestion

Boston, MA

$123K - $175K/yr

  • Medical

  • Life

  • PTO

... MarTech at a publisher, DSP, SSP, ad network, or agency, preferably in a Solutions, Integrations, or Professional Services Engineering role * 1-3 years of experience with data visualization tools ...

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All JobsMartech Data Engineer JobsMartech Data Engineer Jobs in Boston, MA

Martech Data Engineer information

See Boston, MA salary details

$56K

$160.2K

$214K

How much do martech data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for martech data engineer in Boston, MA is $160,202.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,300.00 and $212,900.00 per year, depending on experience, location, and employer.

How does a Martech Data Engineer typically collaborate with marketing and analytics teams to achieve business goals?

As a Martech Data Engineer, you will regularly partner with marketing and analytics teams to design, build, and maintain data pipelines that support campaign performance tracking and customer segmentation. You’ll work closely with marketers to understand their data needs and translate them into scalable technical solutions, often attending cross-functional meetings to plan new data integrations or troubleshoot issues. Collaboration also involves ensuring data quality, managing ETL processes, and enabling self-serve analytics by making data accessible and reliable for non-technical stakeholders. This close teamwork helps drive data-driven decision-making and ensures marketing strategies are effectively measured and optimized.

What is a Martech Data Engineer?

A Martech Data Engineer is a technology professional who specializes in building and maintaining the data infrastructure that supports marketing technology (Martech) platforms. They enable the collection, integration, and analysis of marketing data from multiple sources, ensuring data quality and accessibility for marketing teams. Their work helps organizations make data-driven marketing decisions, personalize customer experiences, and measure campaign effectiveness. Martech Data Engineers often collaborate with marketers, analysts, and other engineers to implement data pipelines and optimize marketing operations.

What are the key skills and qualifications needed to thrive as a Martech Data Engineer, and why are they important?

To thrive as a Martech Data Engineer, you need a solid background in data engineering, SQL, and marketing technology platforms, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud data platforms (such as AWS or GCP), and certifications in marketing automation systems like Salesforce or Adobe Experience Cloud are highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills help bridge the gap between marketing and technical teams. These skills enable the efficient integration, analysis, and utilization of marketing data, driving better decision-making and campaign performance.

What is the difference between Martech Data Engineer vs Data Analyst?

AspectMartech Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, marketing tech toolsData visualization, reporting, business insights
Employer & Industry UsageMarketing agencies, tech companies, e-commerceMarketing teams, business intelligence units
Common Search & Comparison IntentUnderstanding technical data roles in marketingAnalyzing marketing data for insights

The Martech Data Engineer focuses on building and maintaining data pipelines and infrastructure for marketing data, while the Data Analyst interprets data to generate insights and reports. Both roles are essential in marketing tech environments but serve different functions within data management and analysis.

What are popular job titles related to Martech Data Engineer jobs in Boston, MA?

For Martech Data Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Martech Data Engineer jobs in Boston, MA look for?

The top searched job categories for Martech Data Engineer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Martech Data Engineer jobs?

Cities near Boston, MA with the most Martech Data Engineer job openings:

Martech Data Engineer jobs near you

Lead Software Engineer (Data and MarTech, Hybrid, Boston, Seaport District)

Evolvesquads

Boston, MA • On-site

$120 - $150/hr

Other

Posted 9 days ago

Job description

Lead Software Engineer (Data and MarTech, Hybrid, Boston, Seaport District) #26561 PROJECT STACK and TEAM:

The Lead Software Engineer, Data and MarTech, is a senior technical leader embedded within a Scrum team, responsible for shaping how applications collect, process, and are delivered across the organization. This role sits at the intersection of software engineering, data architecture, and product delivery, ensuring that data systems are not only scalable and performant, but also reliable, well-modeled, and aligned to business needs.

MAIN REQUIREMENTS:
  • 7+ years of software engineering experience with a strong emphasis on data engineering
  • Proven experience designing and operating scalable data pipelines and distributed data systems
  • 3+ years of experience designing data solutions on AWS
  • Proficiency in one or more programming languages such as Python, Java, or Scala
  • Experience with modern data technologies (e.g., Spark, Kafka, Airflow, dbt, Snowflake, Redshift, BigQuery)
  • Strong understanding of data modeling concepts, including dimensional modeling and data warehousing
  • Experience working within Agile/Scrum teams and contributing to sprint planning and execution
  • Hands on experience with real-time streaming and event-driven architectures
  • Demonstrated ability to solve complex technical problems with minimal direction
GOOD TO HAVE:
  • Experience implementing data governance, lineage, and cataloging solutions
  • Exposure to machine learning workflows or data science collaboration
  • Prior experience leading technical initiatives or influencing multiple teams
  • Bachelor of Science in Computer Science or similar discipline
JOB RESPONSIBILITIES:
  • Design, build, and maintain scalable data pipelines and data services (batch and real-time)
  • Lead the architecture and evolution of data models, ensuring they support analytics, reporting, and product use cases
  • Break down complex data initiatives into actionable work aligned with Scrum delivery practices
  • Partner with Product, Analytics, and Engineering stakeholders to gather and refine requirements
  • Establish and enforce best practices for data engineering, including schema design, pipeline orchestration, and testing
  • Implement and maintain data quality frameworks, including validation, monitoring, and alerting
  • Define and uphold SLAs/SLOs for data availability, latency, and accuracy
  • Contribute high-quality production code and conduct thorough code reviews across the team
  • Identify, surface, and mitigate technical risks that could impact delivery or system reliability
  • Drive observability across data systems using logging, metrics, and tracing tools
  • Mentor engineers and elevate team capabilities in data engineering practices
  • Influence technical direction across teams and contribute to broader platform strategy
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