Data Engineer

Metropolitan Companies•Wyomissing, PA

About The Position

Metropolitan Companies is seeking a Data Engineer to support our growing data and application environment. This role will serve as a critical bridge between traditional database administration and modern data engineering—supporting data pipelines, integrations, reporting, and database performance. This position is ideal for someone who has a strong foundation in SQL and databases, and is looking to grow into data engineering, automation, and analytics. The individual will work closely with developers, business teams, and IT leadership to ensure data is accurate, accessible, and optimized for business use. This is an excellent opportunity for a motivated professional with a strong technical background who enjoys working in a fast-paced, evolving environment. We offer a competitive compensation package including medical, dental, vision, life insurance, disability coverage, 401(k), bonus opportunities, paid time off, and more.

Requirements

2–5 years of experience working with databases or data-related roles
Strong knowledge of SQL (queries, joins, indexing, performance tuning)
Experience with SQL Server or similar relational databases
Understanding of data structures and relational design
Experience writing scripts or automations (PowerShell, Python, or similar)
Ability to troubleshoot data issues and think analytically
Strong attention to detail and data accuracy

Nice To Haves

Experience with ETL tools or data pipeline frameworks
Familiarity with APIs and data integrations
Exposure to cloud platforms (AWS, Azure, or GCP)
Experience with reporting tools (Power BI, Tableau, etc.)
Understanding of CI/CD or version control (Git)
Basic knowledge of data warehousing concepts

Responsibilities

Design, build, and maintain data pipelines for internal applications and reporting
Write, optimize, and maintain SQL queries, stored procedures, and database jobs
Support and maintain SQL Server and other relational databases
Monitor database performance, troubleshoot issues, and improve efficiency
Assist with ETL/ELT processes to move and transform data between systems
Work with APIs and external systems to integrate data into internal platforms
Ensure data integrity, consistency, and reliability across systems
Support reporting needs for operations, finance, and leadership teams
Assist in managing backups, restores, and disaster recovery processes
Document data flows, schemas, and processes for internal use
Collaborate with development teams on data structures and application performance