Data Engineer

Somerville-MA

Live, first seen by us 1 day ago

Pay: $75,275.2–109,553.6/Annual — pay source
Pay Range $75,275.20 - $109,553.60/Annual Grade
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Work setting: Hybrid — work setting source
Remote Type Hybrid Work Location
Read the full posting
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Design, develop, and implement data pipelines and ETL/ELT code
Develop and maintain data engineering solutions in Microsoft Fabric and other enterprise platforms
Support data ingestion, transformation, and integration across many data sources
Build solutions that follow platform architecture, security, data quality, and governance standards

From the employer’s posting

Design, develop, and implement data pipelines and ETL/ELT code to support business requirements.

Develop and maintain data engineering solutions using Microsoft Fabric and other enterprise data platforms.

Support data ingestion, transformation, and integration across a variety of data sources.

Develop solutions using established platform architecture, security, data quality, and governance standards.

What you’ll bring

All qualifications

Core experience

Bachelor's degree in Computer Science or related field (equivalent experience may be considered)
Data analysis with Python and SQL

Preferred experience

Experience or familiarity with modern cloud data platforms such as Microsoft Fabric, Snowflake, or Azure data services preferred.
Familiarity with enterprise data warehousing systems is a plus.
Familiarity with Power BI and its integration with modern data platforms is a plus.

Qualification wording

Bachelor's Degree Computer Science or related field of study required

Skilled in data analysis with Python and SQL.

Experience or familiarity with modern cloud data platforms such as Microsoft Fabric, Snowflake, or Azure data services preferred.

Familiarity with enterprise data warehousing systems is a plus.

Familiarity with Power BI and its integration with modern data platforms is a plus.

Education & alternatives

Education - Bachelor's Degree Computer Science or related field of study required - Equivalent experience may be considered in lieu of a degree

Apply at Massgeneralbrigham

Posting record

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Status in our records: Live
First seen by us: Nov 2, 20261 day ago
Recorded sightings: 3
Last seen by us: Nov 4, 2026
Reposted: once since Oct 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 5 and day 54.

From 10,704 similar postings that came down. Coming down is not always a hire.

Massgeneralbrigham is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Engineer hiring is picking up
Takes jobs down quickly
33% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
AWS
Azure
GCP
Hadoop
Power BI
Snowflake
Tableau

Where the posting names them

- Understanding of common data ingestion, transformation, and data integration patterns. - Skilled in data analysis with Python and SQL. - Demonstrated experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop).

Knowledge, Skills and Abilities - Working knowledge of cloud computing platforms such as AWS, GCP, or Azure. - Familiarity with enterprise data warehousing systems is a plus.

- 2+ years of experience with developing data pipelines using on Snowflake features required - Experience or familiarity with modern cloud data platforms such as Microsoft Fabric, Snowflake, or Azure data services preferred. Knowledge, Skills and Abilities

- Skilled in data analysis with Python and SQL. - Demonstrated experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop). - Familiarity with Power BI and its integration with modern data platforms is a plus.

- Demonstrated experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop). - Familiarity with Power BI and its integration with modern data platforms is a plus. - Basic understanding of data quality, security, and data governance concepts.

- 2+ years of data warehousing development in large reporting environment(s) required - 2+ years of experience with developing data pipelines using on Snowflake features required - Experience or familiarity with modern cloud data platforms such as Microsoft Fabric, Snowflake, or Azure data services preferred.

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Your next step

Complete your application on massgeneralbrigham.wd1.myworkdayjobs.com. The employer’s form will show what is required.

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Has Massgeneralbrigham posted this job before?

Yes. We’ve followed one other Data Engineer job there since July 2026. It came down after 0 days.

Place not statedCame down after 0 days, first seen Jul 16
This jobUp 2 days so far, first seen Nov 2

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Site: Mass General Brigham Incorporated

Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.

Job Summary

Responsible for implementing methods to improve data reliability and quality. They combine raw information from different sources to create consistent and machine-readable formats, and they develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. The Data Engineer also supports the development of scalable data solutions using modern cloud data platforms, including Microsoft Fabric, following established enterprise data engineering standards and patterns.

Essential Functions
-Design, develop, and implement data pipelines and ETL/ELT code to support business requirements.
-Develop and maintain data engineering solutions using Microsoft Fabric and other enterprise data platforms.
-Support data ingestion, transformation, and integration across a variety of data sources.
-Develop solutions using established platform architecture, security, data quality, and governance standards.

Qualifications

Education

Bachelor's Degree Computer Science or related field of study required
Equivalent experience may be considered in lieu of a degree

Experience

2+ years of data warehousing development in large reporting environment(s) required
2+ years of experience with developing data pipelines using on Snowflake features required
Experience or familiarity with modern cloud data platforms such as Microsoft Fabric, Snowflake, or Azure data services preferred.

Knowledge, Skills and Abilities

Working knowledge of cloud computing platforms such as AWS, GCP, or Azure.
Familiarity with enterprise data warehousing systems is a plus.
Familiarity with Microsoft Fabric concepts and capabilities, including data pipelines, Lakehouses, Warehouses, and notebooks.
Understanding of common data ingestion, transformation, and data integration patterns.
Skilled in data analysis with Python and SQL.
Demonstrated experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop).
Familiarity with Power BI and its integration with modern data platforms is a plus.
Basic understanding of data quality, security, and data governance concepts.
Solid analytical and organizational skills.
Experience working in an Agile software development environment.

Working Conditions

Hybrid, onsite required 4x/month at minimum

Remote workdays require a stable, secure, and compliant workstation in a quiet environment.

Monday through Friday Eastern Business hours required.

Teams video is required and must be accessed using Mass General Brigham-provided equipment.

Additional Job Details (if applicable)

Remote Type

Hybrid

Work Location

399 Revolution Drive

Scheduled Weekly Hours

Employee Type

Regular

Work Shift

Day (United States of America)

Pay Range

$75,275.20 - $109,553.60/Annual

Grade

At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.

EEO Statement:

0100 Mass General Brigham Incorporated is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.

Mass General Brigham Competency Framework

At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

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