| Location | Atlanta, GA |
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Senior Data Software Engineer with Databricks, dbt, Data Quality
Remote in Georgia, & 4 others
Data Software Engineering
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We are seeking a Senior Data Software Engineer to support and strengthen a Data & Analytics program focused on scaling the Databricks platform and migrating data and workloads from Teradata. This role requires strong governance around data reconciliation, validation, CI/CD deployment controls, and production release readiness, along with a proactive approach to resolving incidents and improving the reliability of data pipelines.
Responsibilities
Provide day-to-day support for the Data & Analytics team, triage and resolve incidents raised by stakeholders
Diagnose and fix broken or failing dbt models, including compilation errors, test failures, schema drift, and stale dependencies
Monitor, debug, and repair Databricks workflows and jobs, including failed runs, cluster issues, and scheduling problems
Investigate data quality issues and pipeline failures to identify root cause and apply fixes
Maintain and improve dbt tests, documentation, and model configurations
Respond to ad hoc requests for data fixes, backfills, or re-runs
Collaborate with data engineers and analysts to prevent recurring issues by improving alerting, adding tests, and refactoring fragile models
Keep runbooks and support documentation up to date
Escalate complex issues appropriately while owning resolution end-to-end
Requirements
3+ years of practical experience with dbt, including models, tests, macros, and debugging build/run errors
Experience with Databricks, including notebooks, jobs/workflows, clusters, and basic troubleshooting
Solid SQL skills with comfort reading and modifying transformation logic
Familiarity with git-based workflows, including PRs and version control
Strong troubleshooting mindset and ownership of issues through to resolution
Good communication skills for working with technical and non-technical stakeholders
Proficiency in English at a B2+ level