Data Analytics Engineer

MetLife Legal Plans; United States; On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Healthcare Insurance

Dental & Vision Insurance

401(k) plan with company contribution

Paid Time Off

Volunteer Day

Job summary

MetLife Legal Plans is seeking a Data Engineer to join our Data Insights team, reporting to the Senior Director of Data Insights. You will design and build data models, pipelines, and analytics solutions using DBT Cloud, AWS, Python, and SQL to modernize and scale our data platform.

You will partner with Data Analysts and business stakeholders to transform complex data into trusted insights that inform data-driven decisions across the organization, and you will contribute to data governance and

Qualifications

• 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.

Responsibilities

• 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

Skills

Python

Bash

Spark

DBT Cloud

SQL

AWS

Data modeling

Data governance

Airflow

Communication

Education

Bachelor’s Degree

Tools

GitHub

Visual Studio Code

Tableau

Python

Job description

A Day in the Life of a Data Analytics Engineer at MetLife Legal Plans:

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.

Required Qualifications

• 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

Who We Are

MetLife Legal Plans is the country's largest provider of legal voluntary benefits. We have more than 40 years of experience in employee legal services and are committed to providing excellent care to our plan members, sponsors and 18,000+ attorneys.

We are trusted by nearly 7 million families and more than 200 Fortune 500 companies who offer our service as an employee benefit.

It’s an exciting time to join our team. We are growing quickly and have a bold vision for our future as we evolve our company to dream bigger, move faster, and use creativity and technology to build products people love.

MLP's Core 4

• Put customers first
• Be the Best
• Make things easier
• Succeed together

Anticipated application close date is 9/21.This job was posted on 8/27 and is expected to close within 25 days from the posting date.

Benefits Snapshot.

• Two Healthcare Insurance options (Traditional PPO or HSA with employer contribution)
• Dental and Vision Insurance
• 401(k) plan with company contribution and free access to financial advisors
• Generous Paid Time Off (PTO) program with 23-39 days annually based on years of service, plus prorated PTO for new hires*
• Free Aura® Identity Theft & Fraud Protection
• Free access to the MetLife Legal Plans benefit
• Company-paid Short- and Long-Term Disability
• Corporate discounts
• Market-competitive salaries with annual bonus eligibility
• Nine company-paid holidays
• Paid parental leave
• Parking or RTA subsidy for Cleveland employees
• Pet Insurance
• Tuition Reimbursement Program
• Voluntary Accident and Critical Illness Insurance
• Volunteer Day
• Robust Employee Assistance Program (EAP)
• Financial wellness tools, education, and coaching
• PTO is prorated during an employee's first year of employment based on their hire date. Employees hired in the first quarter of the year receive 18 days of PTO, those hired in the second quarter receive 16 days, employees hired in the third quarter receive 9 days, and those hired in the fourth quarter receive 7 days. PTO is awarded at the time of hire and then moves to the standard annual accrual schedule beginning January 1 of the following year

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 [e-mail]. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.