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Data Engineer II

Job in Bridgewater, Plymouth County, Massachusetts, 02324, USA
Listing for: MetLife
Part Time position
Listed on 2026-07-27
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 103000 - 133000 USD Yearly USD 103000.00 133000.00 YEAR
Job Description & How to Apply Below

At Met Life, 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 is responsible for designing, building, and maintaining production-grade ETL/ELT data pipelines and analytics-ready data products that power Met Life’s data and analytics ecosystem across our global Data & Analytics organization. This is an exciting opportunity to apply your Big Data, engineering, and Databricks/cloud expertise as an individual contributor, working closely with a project team to deliver reliable, scalable, and trusted data solutions.

Key Responsibilities

  • Design, build, and maintain robust ETL/ELT pipelines and reusable data assets (batch and near-real-time) on Databricks and Azure cloud or on-premises environments to ingest, transform, and publish curated, analytics-ready data
  • Partner with data modelers, Data Governance, and Data Architecture teams to implement scalable dimensional data models (star schemas) and ensure solutions support downstream consumption in Power BI, Cognos, or similar BI tools
  • Apply best practices for data ingestion, transformation, orchestration, and performance optimization, and contribute to migration from legacy pipelines to modern Databricks-based platforms
  • Monitor, optimize, and troubleshoot data pipelines to ensure reliability, scalability, security, and compliance with data quality and governance standards
  • Collaborate with a cross-functional project team, including Business, Technology, Operations, and Data & Analytics partners (Data Governance, Data Quality, Data Modeling, Data Architecture, Data Science, Dev Ops, BI & Insights), to deliver end-to-end solutions aligned with Agile/SAFe practices (PI planning, sprint execution)

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field.
  • 3–5 years of experience in data engineering, data integration, or a related technical discipline.
  • Experience developing solutions using SQL and Python, Scala, or a similar programming language.
  • Experience working with Databricks or comparable cloud data platform technologies.
  • Experience with ETL/ELT development, data integration, and data transformation processes.
  • Understanding of dimensional data modeling and data warehousing concepts.
  • Experience working with cloud technologies such as Azure, AWS, or GCP.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Strong written and verbal communication skills.

Preferred Qualifications

  • Experience with Azure Data Factory, Synapse, Event Hub, or comparable cloud-native data technologies.
  • Experience with Spark, Hadoop, Hive, or other distributed data processing technologies.
  • Familiarity with CI/CD tools, Git, and Dev Ops practices.
  • Familiarity with data quality and governance concepts.
  • Experience with Power BI, Cognos, Tableau, or similar reporting platforms.
  • 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 $103,000 - $133,000. 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…

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