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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analytics Engineer - **Company:** MetLife - **Location:** United States - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Business Analytics Applications, Data Analysis, Business Logic, IBM System I, Bash Shell, Bioinformatics, Command-Line Interface, Cloud Computing, Computer Programming, Databases, Information Engineering, Data Governance, Data Security, Data Structures, IBM DB2, Database Queries, Github, Python (Programming Language), Microsoft Visual Studio, Aws Command Line Interface (CLI), Salesforce.Com, SQL Databases, Systems Integration, Tableau (Software), Workflow Management Systems, Apache Spark, AWS Aurora, Kubernetes, Data Analytics, Zendesk, Terraform, Data Pipelines - **Published:** August 29, 2026 - **Apply:** https://www.dice.com/job-detail/e8e399fe-5cdc-4c60-a2ba-9d717fb3a0fd ## About the Role * 3+ years of experience in data engineering. * 3+ years of hands-on experience using DBT Cloud. * Strong programming skills in Python, Bash, and experience with Spark. * Hands-on experience with AWS services such as S3, Glue, and Redshift. * Strong SQL skills and experience with data modeling and schema design. * 1+ years of experience with workflow management tools such as Airflow, Prefect, or Dagster. * Familiarity with data governance, data quality, and data security best practices. * Ability to work independently and as part of a team in a fast-paced, dynamic environment. * Excellent problem-solving and communication skills. Preferred Qualifications: * Familiarity with Tableau * Experience with Terraform or other IaaC, Kubernetes Cluster, IBM I DB2, AWS CLI (Command Line Interface) * Integration experience with: Delighted, Zendesk, Salesforce, AWS Aurora Databases * Bachelor's Degree from an accredited university Travel: * Up to 5% travel ## Description MetLife Legal Plans is seeking a Data Engineer to join our Data Insights team, reporting to the Senior Director of Data Insights. In this role, you will help modernize and scale our data platform by designing and building robust data models, pipelines, and analytics solutions using DBT Cloud, AWS, Python, and SQL. You will partner closely with Data Analysts and business stakeholders to transform complex data into trusted, actionable insights that support data-driven decision-making across the organization. The ideal candidate is a curious problem solver with strong technical expertise in data engineering, cloud technologies, and data modeling who enjoys uncovering answers to complex business questions and driving continuous improvement through data. Duties include: * Model and build data structures using DBT Cloud to modernize our data platform * Utilize DBT Cloud to transform raw data into business focus, semantic layer for data analysis and insights * Work with Data Analysts to design data models and data structures to empower self-service analytics * Data analysis, such as research into data issues and communication of findings * Building data driven solutions to business problems and opportunities * Business process optimization and defining core business logic * Ensuring data security is enforced within data models and data structures You should be familiar with hunting for answers to complex business questions and running experiments to gather additional data when necessary. You should feel comfortable using a product suite of DBT Cloud, GitHub, Visual Studio Code, Python, and Tableau desktop/server to create and manage data pipelines., Note: This job description in no way states or implies that these are the only duties to be performed by the associate in this position. Associates will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbent will possess the skills, aptitude and ability to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an "at-will" relationship. MetLife Legal Plans 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 This information will be held in confidence and used only to determine an appropriate accommodation for the application process. ## Related Videos - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) - [The AI Agent Path to Prod: Building for Reliability](https://www.wearedevelopers.com/videos/1523-the-ai-agent-path-to-prod-building-for-reliability) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)