We are seeking a talented Data Engineer to join our team in Austin, Texas. In this role, you will design, develop, and maintain scalable data pipelines and architectures to support our analytics and data science initiatives. You will collaborate with cross-functional teams to understand data needs, ensure data quality, and optimize data workflows for performance and reliability.
Key Responsibilities Include
- Building and maintaining ETL/ELT processes to ingest and process large volumes of structured and unstructured data
- Designing data models and storage solutions to facilitate efficient data retrieval and analysis
- Implementing data quality checks and validation procedures
- Optimizing database performance and ensuring system scalability
- Collaborating with data analysts and scientists to support data-driven decision making
- Monitoring and troubleshooting data pipelines to ensure operational stability
Required skills include proficiency in SQL, experience with cloud platforms (e.g., AWS, Azure), familiarity with data processing frameworks (e.g., Spark, Kafka), and strong programming skills in Python or similar languages. Knowledge of data governance, security best practices, and containerization is a plus.
We offer competitive benefits including health insurance, retirement plans, flexible work hours, professional development opportunities, and a collaborative work environment dedicated to innovation and growth.
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