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Senior Data Analytics Engineer Jobs in Massachusetts

Senior Data Engineer

Boston, MA · Hybrid

$165K - $185K/yr

The Senior Data Engineer will help Geode build a modern, cloud native data and analytics platform centered around technologies such as AWS, Snowflake, DBT, Snaplogic, and Python. This role is based ...

Senior Data Engineer

Boston, MA · On-site

$140 - $190/hr

The Senior Data Engineer will help build a modern, cloud‑native data and analytics platform centered around AWS, Snowflake, DBT, Snaplogic, and Python. Responsibilities * Build a best‑in‑class ...

Sr. Analytics Engineer

Boston, MA · On-site

$106K - $146K/yr

Our team owns everything from data modeling and instrumentation to metrics definition ... The Role ABCorp is seeking a highly skilled Senior Analytics Engineer to own the data and analytics ...

Role Overview Connie Health is seeking an experienced Senior Analytics Engineer to own our data transformation layer end-to-end. You will provide clean, well-modeled, documented datasets that empower ...

Role Overview Connie Health is seeking an experienced Senior Analytics Engineer to own our data transformation layer end-to-end. You will provide clean, well-modeled, documented datasets that empower ...

Role Overview Connie Health is seeking an experienced Senior Analytics Engineer to own our data transformation layer end-to-end. You will provide clean, well-modeled, documented datasets that empower ...

The MFS Investment Data Management Office is actively searching for a Senior Data Engineer to implement data engineering and analytics solutions. Primary responsibilities include full implementation ...

Senior Data Platform Engineer

Boston, MA · Hybrid

$115K - $156K/yr

We're looking for a Senior Data Platform Engineer to own the foundation the entire Data & Data ... You'll design and build the architecture and governance that let a growing team of analytics ...

$89 - $170/hr

The Finance team is seeking a Senior Analytics Engineer to join the Business Intelligence and ... Data Engineering & Transformation: Develop and maintain data transformations, reusable datasets ...

New

Senior Industrial Analytics Engineer Job ID: 132008 Position Type: Full-time Location: Pittsburgh ... models and data architecture for IE, capacity, labor, PFEP, and cost analytics • FlexSim ...

We have an opening for an Analytics Engineer who will bridge the gap between data analysis and data engineering. You will be responsible for transforming raw data into clean, reliable data sets ...

Showing results 21-40

Senior Data Analytics Engineer information

See Massachusetts salary details

$88.5K

$138K

$191.1K

How much do senior data analytics engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for senior data analytics engineer in Massachusetts is $137,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,800.00 and $157,300.00 per year, depending on experience, location, and employer.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

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

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

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

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

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

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

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

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

What cities in Massachusetts are hiring for Senior Data Analytics Engineer jobs?

Cities in Massachusetts with the most Senior Data Analytics Engineer job openings:

Infographic showing various Senior Data Analytics Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $137,966 per year, or $66.3 per hour.

$165K - $185K/yr

Full-time

Medical, Retirement

Re-posted 19 days ago


Job description

Geode Capital Management is seeking a full-time Senior Data Engineer to join our Data team. The Senior Data Engineer will report to the Director of Data Engineering. This role will play a critical role in designing and building scalable data solutions, working closely with various operations teams, data analysts, and business stakeholders. The Senior Data Engineer will help Geode build a modern, cloud native data and analytics platform centered around technologies such as AWS, Snowflake, DBT, Snaplogic, and Python.

This role is based in our office in Boston, Massachusetts. You are required to follow the firm’s policy on in-office attendance. Our current policy requires in-office attendance on Tuesday, Wednesday, and Thursday, and then provides an option to work remotely on Monday and Friday. Please note that Geode may alter this policy at any time.
Responsibilities:
  • Build best in class Data platform to ingest, process and store enterprise data for our business teams to gain insights into our data
  • Contribute to the design, development, and implementation of software and data solutions
  • Continuously enhance data pipelines through automation, expanded yet increasingly efficient unit testing and increasing test coverage, ultimately optimizing time-to-market and quality
  • Collaborate with development team in building innovative, event driven, cloud native solutions using AWS, Snowflake, DBT, Snaplogic, and Python
  • Collaborate with the product area owner, data product leads, Scrum Masters, and ] development teams to build effective data ingestion and integration pipelines
  • Mentor new or junior team members and participate in code reviews
  • Iteratively deliver high-quality products to enable our investment business, operations, analytics, and client reporting
Skills you bring:
  • A bachelor’s or master’s degree in computer science or a similar field
  • 10 + years of data and software engineering experience including technical leadership
  • Strong Python programming skills with a focus on data engineering and data pipeline development
  • Expertise in ELT development using DBT, Snowflake, Snaplogic or similar tools
  • Strong skills in data modeling, building operational data stores and data warehouses
  • Excellent SQL skills, developing SQL stored procedures and functions
  • Strong hands-on experience in designing, building and maintaining AWS native applications
  • Hands-on experience with scheduling tools such as Airflow or Control-M
  • Excellent communication and interpersonal skills.
  • Experience working in an Agile environment utilizing agile methodologies (Kanban and SCRUM) is a plus
  • Experience in data analytics building reports, dashboards, and visualizations with business intelligence tools such as Tableau or Power BI is a plus
  • Experience working in the Asset management industry is a plus
Company Overview:
Founded in 2001, Geode is headquartered in Boston’s financial district, the center of one of the world’s most vibrant finance and technology hubs and employs approximately 200 employees.
Geode is an institutional asset manager providing core beta exposures across a range of equity and niche asset classes, with over $2 trillion. With a robust infrastructure and experienced investment professionals, Geode offers the scale of a large asset management firm with the benefits of a smaller organization.
Our compensation philosophy is designed to attract, motivate, and retain top talent. We are committed to ensuring that compensation reflects the value our employees bring to Geode. Employees at all levels are eligible to receive a combination of base salary, variable compensation, and a comprehensive benefits package. Compensation decisions are informed by a range of factors including role, experience, education, and skillset.
Our benefits program is designed to support employees both professionally and personally, offering comprehensive health coverage, 401(k) matching, annual profit sharing, paid parental leave, and generous time off. We also provide tuition and certification reimbursement, student loan support, fitness reimbursement, commuter subsidy, charitable donation matching, family care assistance including a backup care benefit, adoption and surrogacy support. Hybrid work arrangements and a culture that encourages community engagement through volunteer opportunities and employee events further enhance the employee experience at Geode.
Geode is proud to be an equal opportunity employer and support a diversified work environment. Learn more about Geode at www.geodecapital.com/careers.