Data Engineer || Hybrid in Addison, TX

Title: Data Engineer
Location: Addison, TX | Hybrid (2 days/week onsite)
Term: Full Time Role

Job Summary
My Client is seeking a Mid to Senior-level Data Engineer with strong, hands-on experience in building and maintaining data pipelines, ETL/ELT development, and end-to-end ingestion processes. This role is highly technical and requires expertise in designing, transforming, and managing data across multiple systems. Unlike business analysis or reporting-focused positions, this role emphasizes data engineering fundamentals and execution.

Responsibilities

• Profile and analyze data from multiple sources and data types
• Design, build, and maintain ETL/ELT pipelines to ingest and load data into the Data Lake and/or Data Warehouse
• Monitor and troubleshoot pipeline performance, ensuring schedules and processes run smoothly
• Implement corrective actions for data quality issues
• Build and maintain data transformations and standardized reporting objects at the database layer
• Follow best practices for development, QA, deployment, and source code management
• Document processes, definitions, and metrics, and provide walk-throughs to stakeholders
• Collaborate with developers, business users, and IT partners across onshore and offshore teams
• Support agile delivery methodology by tracking and communicating deliverable progress
• Proactively identify opportunities to improve data processes and system performance
• Develop strong knowledge of data relationships, underlying business rules, and industry domain

• Hybrid schedule expected at approximately two days per week in office (Addison, TX)
• Manager views onsite presence as a differentiator, ensuring candidates are fully committed and engaged
• Recruiting process may include direct submittals, technical vetting, and custom technical exercises focused on pipeline and data engineering skills

• 4+ years working as a Data Engineer (not limited to analysis or reporting)
• Strong SQL expertise, including building objects (tables, stored procedures, views) in SQL Server or other relational databases
• 4+ years building data pipelines using ETL/ELT tools such as Azure Data Factory (ADF), Airbyte, Informatica, etc.
• Proven track record of hands-on data pipeline development and end-to-end ingestion
• Experience with healthcare or financial data preferred
• Excellent problem-solving and troubleshooting skills for data quality and pipeline issues
• Strong collaboration skills and ability to work with cross-functional teams
• Excellent communication, organization, and time management skills
• Bachelor's degree or higher

• Exposure to cloud data platforms such as Snowflake
• Experience with modern ELT tools such as DBT

• Competitive compensation
• Multiple medical plan options
• Health Savings Account with company contributions
• Dental and vision coverage for you and your dependents
• 401k with company match
• Vacation, sick time, and company-paid holidays
• Wellbeing program with health insurance incentives