If you’re looking to build your career with a global leader in insurance and financial services, this Data Engineer opportunity at MetLife could be the perfect fit. Join a collaborative team where you’ll design, develop, and optimize scalable data solutions that power business insights and innovation. If you have a passion for data engineering, cloud technologies, and modern data platforms, this role offers competitive pay, excellent benefits, and opportunities for long-term career growth.
Job Overview
| Field | Details |
|---|---|
| Company Name | MetLife |
| Role | Data Engineer |
| Qualification | Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field (or equivalent experience) |
| Job Location | Bridgewater, New Jersey, USA |
| Salary | $88,000–$113,000 per year |
| Work Type | Hybrid |
| Job Type | Full-Time |
| Job Level | Entry Level |
| Industry | Insurance & Financial Services |
Job Description
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.
Selection Process
- Submit an online application.
- Resume screening by the recruitment team.
- Initial recruiter interview.
- Technical interview focusing on data engineering concepts and problem-solving.
- Hiring manager and team interview.
- Background verification and reference checks.
- Final job offer.
How to Apply
- Visit the official MetLife careers website.
- Search for the Data Engineer – Bridgewater, NJ position.
- Review the job description and eligibility requirements.
- Prepare and upload your updated resume.
- Complete the online application form.
- Submit your application.
- Monitor your email for updates regarding the recruitment process.
