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The Data Engineer position in Dallas, Texas, requires a Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Engineering, or a related field. Candidates should have 3-5 years of hands-on coding experience, particularly in Python and SQL, along with experience in data migration and cloud technologies. The role involves end-to-end datastore migration to AWS, ensuring data integrity, and optimizing SQL and Spark patterns for Snowflake compatibility. Strong communication skills and the ability to collaborate across teams are essential. This is a full-time position with on-site requirements.
Job Responsibility:
Engineer will be part of the datastore-migration Factory team responsible for end-to-end datastore migration from on-prem DataLake to AWS hosted LakeHouse
Refactoring and migrating extraction logic and job scheduling from legacy frameworks to the new Lakehouse environment
Executing the physical migration of underlying datasets while ensuring data integrity
Acting as a technical liaison to internal clients, facilitating handoff and sign-off conversations with data owners
Translating and optimizing legacy SQL and Spark-based consumption patterns for compatibility with Snowflake and Iceberg
Understanding usage patterns to deliver the required data products
Working on data reconciliation frameworks to ensure migrated data is functionally equivalent to production data
Working with internal data management platforms and learning new workflows and language constructs as necessary
Requirements:
Education: Bachelor's or Master's degree in Computer Science, Applied Mathematics, Engineering, or related field
Experience: Minimum 3–5 years of hands-on coding experience
ability to troubleshoot SQL and basic scripting
3+ Years of Professional proficiency in Python or Java
3+ Years of experience with SDLC, CI/CD best practices and Kubernetes (K8s) deployment experience