Data Engineer

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.

Mass General Brigham Digital is transforming health care through data, analytics, and digital innovation. We are investing in enterprise data platforms, advanced analytics, artificial intelligence, and machine learning to improve patient care, support research, and make insights easier to use across the system. We are seeking a self-motivated Data Engineer to join our Data Lake Engineering team.

In this role, you will design, build, and maintain scalable data pipelines and cloud-based data platforms that help teams across Mass General Brigham access reliable, high-quality data. This is a great opportunity for someone who enjoys solving complex data challenges, optimizing data systems, and partnering with cross-functional teams to support meaningful work in health care. Qualifications Bachelor’s degree in Computer Science, a related field, or equivalent experience. 2–5 years of experience in data engineering, data warehousing, data pipeline development, or a related technical role.

Hands-on experience with SQL and at least one programming or scripting language such as Python, PySpark, or Spark notebooks. Experience developing data pipelines, ETL/ELT processes, and data transformation workflows. Working knowledge of cloud data platforms such as Azure, AWS, or GCP; Azure Data Lake, Azure Data Factory, Microsoft Fabric, or Snowflake experience is strongly preferred.

Experience working with relational databases, data warehouses, or large-scale reporting environments. Familiarity with data modeling, metadata, data quality, workload management, and dependency management concepts. Ability to collaborate with cross-functional teams and communicate technical information clearly to technical and non-technical partners.

Preferred Experience Experience with Microsoft Fabric, Fabric Spark notebooks, Azure DevOps, CI/CD, or dbt. Experience with Snowflake features such as Snowpipe, SnowSQL, Snowsight, or Data Streams. Experience with real-time analytics technologies such as Spark, Kafka, or Event Hub.

Healthcare data experience, including clinical data, Epic, Clarity, payer data, or reference data. Experience with business intelligence tools such as Tableau or similar platforms. Skills That Will Help You Succeed Strong analytical, troubleshooting, and problem-solving skills.

Ability to design reliable, scalable, and maintainable data solutions. Comfort working independently while staying connected to team priorities. Strong communication skills and the ability to collaborate with partners across technical and business teams.

Ability to prioritize work, manage multiple initiatives, and adapt in a dynamic environment. Interest in continuous learning and applying new data technologies, tools, and best practices. Commitment to teamwork, respect, inclusion, and high-quality service.

Additional Job Details (if applicable) Monday–Friday Eastern business hours required. Hybrid onsite flexible work model required, including 1–2 onsite office days per week, with flexibility based on business needs. Remote workdays require a stable, secure, quiet, and compliant workstation.

Remote Type Hybrid Work Location 399 Revolution Drive Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day

$75,275.20 - $109,553.60/Annual Grade 6 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.