Data Engineer

Location: Sunnyvale CA or Austin TX or Elk Grove CA /3 days in a week hybrid onsite



We are looking for a data engineer with experience in the data analytics space. What we need to see is that a candidate has done data engineering for analytics teams — the full scope of what data engineering requires — and that the consumers of their work were data analysts or data scientists.

Core Professional Competencies
1.Communication: Clearly communicates technical work to diverse audiences, verbally and in writing. Participates in peer reviews and team discussions with clarity and purpose.
2.Documentation: Maintains clear, structured documentation of project logic, decisions, and maintenance. Contributes to team standards for reproducibility and transparency.
3.Collaboration: Works effectively with cross-functional partners. Values shared ownership and ensures continuity through knowledge sharing.
4.Initiative: Comfortable in ambiguity; proactively identifies issues and opportunities. Demonstrates curiosity and critical thinking.
5.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)
1.Experienced in building and maintaining data pipelines (ETL/ELT)
2.Proficient with orchestration tools (e.g., Airflow, dbt, Prefect)
3.Comfortable working with cloud platforms (e.g., AWS) and tools like Snowflake
4.Familiar with data lake and warehouse architecture (e.g., S3 + Athena, Delta Lake)
5.Strong Python skills for data manipulation (e.g., pandas, pyarrow, pyspark)

Data Infrastructure & Management (5+ years)
1.Expertise in data modeling (star/snowflake schemas, normalization, dimensional modeling)
2.Skilled in maintaining data quality and integrity (data monitoring, validation, deduplication, anomaly detection)
3.Familiar with version control, CI/CD practices for data workflows (e.g., Git)
4.Expertise in Python (5+ years)

Snowflake		Is Required	2-5 Years
Data Migration		Is Required	5-10 Years
Database Technologies		Is Required	5-10 Years
Advanced SQL		Is Required	5-10 Years
Data Engineering		Is Required	5-10 Years
python		Is Required	5-10 Years