Data Engineer || Hybrid in Addison, TXTalentBridge • Addison, TX, United States
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Data Engineer || Hybrid in Addison, TX
TalentBridge • Addison, TX, United States
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job_description.job_card.job_descriptionHybrid 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
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
Team Dynamics & Process
Qualifications
Preferred Experience
Perks & Benefits
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Data Engineer Hybrid • Addison, TX, United States