Location: Addison, TX – Onsite (Relocation Works)
Duration: Fulltime
Salary: $95,000-$120,000 a year
Roles & Responsibilities
- 3–5+ years of experience in Data Engineering, Software Engineering, or related technical discipline.
- Strong proficiency in Python, and SQL for advanced data transformations.
- Hands-on experience designing and building ETL/ELT pipelines, data ingestion processes, and distributed data processing jobs.
- Practical experience working with distributed data tools such as Apache Spark, Databricks, or Hadoop ecosystems.
- Experience building and managing datasets in relational and/or cloud‑based data platforms (Teradata, Snowflake, SQL Server, Azure/AWS/GCP).
- Solid understanding of data modeling, metadata, data quality controls, data lineage, and secure data management.
- Experience contributing to automated test suites, analyzing test failures, and supporting test-driven development.
- Knowledge of CI/CD pipelines, version control (Git), and automated deployment practices.
- Experience adhering to enterprise data governance, compliance, and operational risk frameworks.
- Ability to troubleshoot pipeline issues, performance bottlenecks, and data discrepancies.
- Strong communication skills and ability to collaborate across engineering, product, and business teams.
- Experience implementing monitoring and observability for data pipelines (logs, metrics, health checks).
- Advanced experience with performance tuning of SQL, Spark, or distributed data workflows.
- Knowledge of data security practices (encryption, masking, PII handling).
- Experience supporting analytical workloads, BI tools, or data science teams.
- Prior experience in a financial institution or other regulated industry
