Remote Data Analytics Engineer – Modern Data Platform

Legal Plans; Northern (KY); Hybrid; USD 90,000 - 125,000; Full time

Benefits offered by this job

Health Insurance

401(k) plan with company contribution

Paid Time Off (PTO)

Dental and Vision Insurance

Tuition Reimbursement

Parking or RTA subsidy

Job summary

MetLife Legal Plans is seeking a Data Engineer to join our Data Insights team, focusing on modernizing and scaling our data platform using DBT Cloud, AWS, Python, and SQL. You will partner with Data Analysts and stakeholders to transform complex data into actionable insights that support data-driven decisions.

The role involves building data models, pipelines, and analytics solutions, ensuring data security, and contributing to data governance.

Qualifications

• 3+ years of data engineering experience.
• 3+ years hands-on DBT Cloud.
• Strong Python, Bash, and Spark.
• AWS services (S3, Glue, Redshift).
• Strong SQL and data modeling skills.
• 1+ year with Airflow/Prefect/Dagster.
• Familiar with data governance, data quality and data security.
• Able to work independently and in teams.
• Excellent problem-solving and communication skills.

Responsibilities

• Model and build data structures using DBT Cloud.
• Transform data into analytics-ready formats.
• Collaborate with Data Analysts to design data models.
• Perform data analysis and communicate findings.
• Develop data-driven solutions for business needs.
• Define core business logic and optimize processes.
• Ensure data security within models and structures.

Skills

Python

SQL

Spark

Bash

Data modeling

Data governance

Communication

Problem solving

Education

Bachelor's degree

Tools

DBT Cloud

AWS

GitHub

Visual Studio Code

Tableau

Job description

MetLife Legal Plans is seeking a Data Engineer to join our Data Insights team, focusing on modernizing and scaling our data platform using DBT Cloud, AWS, Python, and SQL. You will partner with Data Analysts and stakeholders to transform complex data into actionable insights that support data-driven decisions.

The role involves building data models, pipelines, and analytics solutions, ensuring data security, and contributing to data governance.