Data Engineer I

Posted 11 Hours Ago
Bridgewater, NJ, USA
Hybrid
88K-113K Annually
Junior
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
At MetLife, we’re a purpose-driven company that helps our customers build a more confident future.
The Role
Support development, testing, and maintenance of ETL/ELT pipelines on Databricks and Azure. Ingest, transform, validate data, assist with dimensional modeling, monitoring, troubleshooting, and documentation. Participate in code reviews, deployments, Agile ceremonies, and collaborate with business and technology partners to prepare data for analytics and reporting.
Summary Generated by Built In
Description and Requirements
The Team You Will Join
At MetLife, data isn't just a tool - it is a catalyst for growth. As part of our Data & Analytics organization, you'll unlock trusted insights that drive bold decisions, power personalized customer experiences, and deliver lasting business impact. Your skills in AI, predictive modeling, and advanced analytics will help solve complex challenges, scale solutions globally, and fuel innovation across every region. We're building the future of data - one that's governed responsibly, engineered for scalability, and designed for growth. When you join us, you're not just supporting the business - you're empowering it. Let's transform insight into impact and data into action, together.
The Opportunity
The Data Engineer I is responsible for supporting the development, testing, and maintenance of data pipelines and data assets that contribute to MetLife's data and analytics ecosystem. Working under the guidance of senior engineers, this role participates in data engineering initiatives while building technical expertise in cloud technologies, data integration, and modern data platforms.
This is an opportunity for an early-career data engineer to develop experience with Databricks, Azure, ETL/ELT development, and enterprise data platforms while contributing to project delivery as part of a collaborative team.
Key Responsibilities
  • Assist with the development, testing, and maintenance of ETL/ELT pipelines on Databricks and Azure platforms under the guidance of senior team members.
  • Support data ingestion, transformation, and validation activities for structured and unstructured data sources.
  • Participate in the implementation of dimensional data models and help prepare data for reporting and analytics use cases.
  • Monitor data pipelines and scheduled processes and assist with troubleshooting issues identified by senior engineers.
  • Support data quality, governance, and documentation activities using established team standards and procedures.
  • Participate in code reviews, testing activities, and deployment support tasks.
  • Collaborate with business and technology partners to understand data requirements and support solution delivery.
  • Contribute to Agile ceremonies including sprint planning, stand-ups, and retrospectives.
  • Develop knowledge of enterprise data platforms, cloud technologies, data engineering tools, and best practices.

Required Qualifications
  • Bachelor's degree in computer science, Information Technology, Engineering, Mathematics, or a related field.
  • 1-3 years of experience in data engineering, analytics, data integration, or a related technical discipline.
  • Working knowledge of SQL for querying and manipulating data.
  • Exposure to Python, Scala, Java, or a similar programming language.
  • Basic understanding of relational databases and data warehousing concepts.
  • Exposure to cloud technologies such as Azure, AWS, or GCP.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to learn new technologies and work effectively in a team environment.

Preferred Qualifications
  • Exposure to Databricks, Azure Data Factory, Azure Synapse, or similar cloud data technologies.
  • Exposure to ETL/ELT development and data integration concepts.
  • Familiarity with reporting and visualization tools such as Power BI, Cognos, or Tableau.
  • Understanding of data quality, data governance, and metadata management concepts.
  • Experience working in Agile delivery environments.
  • Exposure to financial services, insurance, or other regulated industries.

Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.
The expected salary range for this position is $88 ,000 - $113,000 . This role may also be eligible for annual short-term incentive compensation and stock-based long-term incentives. All incentives and benefits are subject to the applicable plan terms.
Benefits We Offer
Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, paid time off, paid holidays, volunteer time off, tuition assistance and much more!
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies", Fortune World's 25 Best Workplaces™, as well as the Fortune 100 Best Companies to Work For®, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law ("protected characteristics").
If you need an accommodation due to a disability, please email us at [email protected]. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.
MetLife maintains a drug-free workplace.
#BI-Hybrid

Skills Required

  • Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or related field.
  • 1-3 years of experience in data engineering, analytics, data integration, or related technical discipline.
  • Working knowledge of SQL for querying and manipulating data.
  • Exposure to Python, Scala, Java, or a similar programming language.
  • Basic understanding of relational databases and data warehousing concepts.
  • Exposure to cloud technologies such as Azure, AWS, or GCP.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to learn new technologies and work effectively in a team environment.
  • Exposure to Databricks, Azure Data Factory, Azure Synapse, or similar cloud data technologies.
  • Exposure to ETL/ELT development and data integration concepts.
  • Familiarity with reporting and visualization tools such as Power BI, Cognos, or Tableau.
  • Understanding of data quality, data governance, and metadata management concepts.
  • Experience working in Agile delivery environments.
  • Exposure to financial services, insurance, or other regulated industries.

What the Team is Saying

Chelsea
Nick
Naren
Laura
Bill
Jing Huang
Sara Strauch
Dan Xiao
Cara Mootz
Cara Mootz
Naren Peri
Patricia Hixson
Jing Huang
Samantha Heron
Pete Clarke
Erica Provido
Rene Rivera

MetLife Compensation & Benefits Highlights

  • Retirement Support Feedback suggests retirement programs pair a 401(k) with company match and additional retirement plan structures, indicating a mature long‑term savings setup. This depth signals stability for employees prioritizing retirement security.
  • Healthcare Strength Comprehensive medical, dental, vision, disability, and life insurance are paired with wellness initiatives and 24/7 EAP access, indicating broad core coverage. HSAs/FSAs and second‑opinion resources further reinforce the healthcare offering.
  • Parental & Family Support Fertility coverage, personalized child/elder‑care guidance, adoption assistance, parental leave, and breast‑milk shipping for traveling nursing parents are highlighted. These supports extend benefits meaningfully beyond the basics.

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The Company
HQ: New York, NY
43,000 Employees
Year Founded: 1868

What We Do

We're honored to be No. 10 on Great Place to Work's World's Best Workplaces and recognized in the Fortune 100 Best Companies to Work For® list in 2025. At MetLife, we're leading the global transformation of an industry we’ve defined for over 157 years. At MetLife, every innovation and line of code is a lifeline for our customers and their families—from victims of natural disasters to people living with disabilities and beyond. With operations in more than 40 markets and leading positions across the globe, MetLife fosters an inclusive culture where our people are energized and inspired to deliver for our customers and communities. Join our remarkable journey—one in which you help write the next century of innovation in financial services—because with MetLife, making the world a better place is All Together Possible.

Why Work With Us

At MetLife, you’ll be working for a company whose purpose is to help customers throughout their life’s journey, and often in their most critical time of need. You’ll be a part of developing leading-edge platforms that will have a lasting impact on the lives and well-being of tens of millions of customers.

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Employees engage in a combination of remote and on-site work.

MetLife's current workplace policies classify roles as Office, Hybrid or Virtual based on the nature of work, encouraging new ways of working together

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