Data Analytics Engineer

Data Analytics Engineer

Location: Sunnyvale, CA or Austin, TX (Hybrid 3 days On-Site and 2 days Remote)

Duration: 6-12 Months

Only Looking Local to TX OR Bay Area, CA

Job Description

We are looking for a data analytics engineer (a data engineer who specializes in the data analytics space) with the following expertise:

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)