Data Analytics Engineer
Role Data Analytics Engineer
Location Austin TX or Sunnyvale CA (Hybrid onsite)
Duration: 6-12 months
NOTE: Candidates without sponsorship only are encouraged to apply
Core Professional Competencies
- ++Communication++: Clearly communicates technical work to diverse audiences, verbally and in writing. Participates in peer reviews and team discussions with clarity and purpose.
- ++Documentation++: Maintains clear, structured documentation of project logic, decisions, and maintenance. Contributes to team standards for reproducibility and transparency.
- ++Collaboration++: Works effectively with cross-functional partners. Values shared ownership and ensures continuity through knowledge sharing.
- ++Initiative++: Comfortable in ambiguity; proactively identifies issues and opportunities. Demonstrates curiosity and critical thinking.
- ++Attention to Detail++: Delivers high-quality, consistent code and documentation that supports long-term maintainability and trust in data systems.
Data Engineering Expertise (5 years)
- Experienced in building and maintaining data pipelines (ETL/ELT)
- Proficient with orchestration tools (e.g., Airflow, dbt, Prefect)
- Comfortable working with cloud platforms (e.g., AWS) and tools like Snowflake
- Familiar with data lake and warehouse architecture (e.g., S3 Athena, Delta Lake)
- Strong Python skills for data manipulation (e.g., pandas, pyarrow, pyspark)
Data Infrastructure & Management (5 years)
- Expertise in data modeling (star/snowflake schemas, normalization, dimensional modeling)
- Skilled in maintaining data quality and integrity (data monitoring, validation, deduplication, anomaly detection)
- Familiar with version control, CI/CD practices for data workflows (e.g., Git)