Data Integration & Pipeline Engineer

Title: Data Integration & Pipeline Engineer

Location: Dallas TX 75206 3 days onsite

Duration: 6 CTH

The Data Integration & Pipeline Engineer builds and maintains reliable scalable data pipelines that power analytics reporting and operational systems. This role ensures data flows efficiently across platforms while embedding technical controls for quality performance and observability.

Key Responsibilities:
Build and maintain ETL/ELT pipelines for structured and unstructured data
Integrate APIs third-party data and operational systems
Design and optimize curated (bronze/silver/gold) data layers
Automate data ingestion transformation and orchestration
Implement monitoring logging and observability frameworks
Ensure scalability reliability and performance of pipelines
Troubleshoot data failures and performance bottlenecks
Embed validation checks and quality controls within pipelines
Support MDM integrations and data synchronization processes
Collaborate with Governance & Quality Engineer to implement steward-defined rules

Qualifications:
Required:
5 years in data engineering
Strong SQL and programming skills (Python Scala etc.)
Experience building pipelines in cloud data platforms
Familiarity with CI/CD and DevOps practices for data
Understanding of data modeling concepts and data warehouse/lakehouse design

Preferred:
Experience implementing data quality frameworks validation rules and pipeline testing
Familiarity with metadata management and data catalog platforms (Collibra Alation Purview)
Experience supporting analytics and BI platforms such as Power BI Tableau or Looker
Experience working in agile data teams with strong collaboration between engineering governance and analytics