Data Engineer - TalentBridge : Job Details

Connecting People with Their Purpose At TalentBridge, we know success begins with personal connections, and our goal is to fully understand your values, motivations, and passions, then to connect you with companies whose values and motivations match your own. Whether you're looking for temporary employment or a full-time career, the TalentBridge family is here to help. Location: Dallas, TX (Hybrid) in-office 2-3 days per week Objective: We are seeking a mid-level Data Engineer to join our growing Data Governance team. This role will focus on building and optimizing data pipelines, developing SQL-based data solutions, and supporting our analytics infrastructure as we scale. Ideal candidates will bring deep SQL expertise, a strong understanding of healthcare claims data, and experience within Microsoft-based environments. Key Responsibilities:

• Build, optimize, and maintain scalable data pipelines using SQL Server and Snowflake.
• Write efficient, complex SQL queries (CTEs, DDL, DML, WITH statements, joins).
• Support data integrity and quality across 30,000+ arbitration claims.
• Partner with stakeholders to define KPIs and deliver data insights.
• Develop process automation in SQL and Python.
• Contribute to ongoing migration and development efforts within Snowflake.
• Monitor system health and serve as a first line for data-related issues.
• Design and maintain data governance dashboards and monitoring tools to track quality metrics and trends.
• Document data governance processes, definitions, and metrics, ensuring accessibility and clarity for cross-functional teams.
• Gain deep knowledge of healthcare financial data and business rules to support analytics and reporting needs.
• Follow best practices for development, QA, deployment, and source code management (e.g., Git).
• Work closely with developers and analysts to optimize data workflows and streamline processes.
• Embrace agile methodologies, tracking progress using tools like Atlassian Jira or Azure DevOps.

Required Qualifications:

• Business acumen and ability to communicate effectively with non-technical stakeholders.
• Knowledge of ELT tools (e.g., DBT) and orchestration platforms (e.g., Airflow, Dagster).
• Certain understanding of Data Governance methodologies.
• Advanced SQL proficiency with ability to write complex queries and manipulate in-process tables.
• Extensive experience with SQL Server
• Experience with cloud data platforms like Snowflake, Databricks, or AWS Redshift
• Python for automation and data wrangling.
• Background in healthcare claims data.
• Familiarity with data visualization and monitoring tools (e.g., Grafana preferred but open to PowerBI or Tableau)

Preferred Qualifications:

• Experience supporting arbitration, insurance, or compliance-driven workflows.
• Hands-on experience documenting data governance policies in tools like Atlassian Confluence or Notion.
• Exposure to DevOps concepts or system monitoring environments.