Senior Data Engineer & Analyst
Role details
Job location
Tech stack
Job description
The Senior Data Engineer & Analyst is responsible for designing, developing, and delivering scalable data engineering solutions that enable trusted, governed, and analytics-ready data across MetLife's Data & Analytics organization.
This role serves as a senior individual contributor responsible for partnering with business and technology stakeholders to build data solutions, implement modern data engineering practices, and support enterprise data initiatives. The position requires strong technical expertise, the ability to work independently, and experience delivering complex data engineering solutions using cloud-based platforms and modern data technologies.
- Architect, design, and build scalable Databricks-based ETL/ELT pipelines and analytics-ready data products across Azure cloud and on-premises environments, partnering with Data Modeling, Data Governance, and Data Architecture teams to apply enterprise design standards such as medallion architecture and dimensional/star-schema modeling
- Partner with business stakeholders across Sales, Finance, Operations, and Technology to translate strategic priorities into scalable data and analytics solutions, contributing to enterprise Data & Analytics strategy and domain-driven data products
- Contribute to end-to-end delivery of complex, cross-domain data initiatives using Agile/SAFe practices (PI planning, sprint execution), applying best practices for ingestion, transformation, orchestration, performance tuning, and migration from legacy pipelines to modern platforms
- Design, build, and estimate solutions independently; monitor, optimize, and troubleshoot production pipelines to ensure reliability, scalability, security, and compliance; and present solution designs and insights to stakeholders in clear, business-focused narratives
- Collaborate with D&A team and cross-functional partners to share technical expertise, apply engineering best practices, and support a culture of continuous learning and innovation across enterprise data domains, 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 accommodations@metlife.com. 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. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liabilities.
Requirements
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Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field.
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5-8 years of experience in data engineering, business intelligence, data integration, or related technical disciplines.
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ETL/ELT pipelines and data solutions using SQL and Python, Scala, or similar programming languages.
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Experience working with Databricks and cloud-based data technologies.
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Experience supporting end-to-end delivery of data engineering initiatives from requirements through implementation.
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Strong analytical, troubleshooting, and problem-solving skills.
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Strong communication and stakeholder management skills.
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Experience with Azure Data Factory, Synapse, Event Hub, or similar cloud-native data technologies.
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Experience with Spark, Delta Lake, or distributed data processing technologies.
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Experience with Git, Azure DevOps, CI/CD pipelines, and agile delivery practices.
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Familiarity with data governance, data quality, and metadata management practices.
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Experience in financial services, insurance, or another regulated industry.
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Experience with dimensional data modeling, data warehousing concepts, and analytics-ready data structures.
Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.
Benefits & conditions
3.83.8 out of 5 stars 501 US 22, Bridgewater, NJ 08807 Hybrid work $121,000 - $155,000 a year - Full-time, Pulled from the full job description
- Tuition reimbursement
- Parental leave
- Health insurance
- 401(k) matching
- Paid time off
- Vision insurance
- Dental insurance, The expected salary range for this position is $121,000 - $155,000. 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!