Data Engineer

Austin, Texas Contract
  • Post Date: Jul 28, 2026
  • Work Type: Hybrid

About the Job

Job Description

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

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)


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

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)

Required Skills

  • Snowflake
  • Data Migration
  • Database Technologies
  • Advanced SQL
  • Data Engineering
  • python