À propos
Location: on-site in Austin, TX 3 days per week.
Please see notes below from the Hiring Manager for this role. There are 2 current openings and we can submit candidates ASAP.
Additional Notes:
Targeting 10+ years of experience
Master's degree does NOT substitute for years of experience.
Strong enterprise background required; startup
only profiles typically not sufficient.
Technical Stack
Very strong SQL
Spark / PySpark
Databricks
Enterprise
scale data engineering experience
Interview Process
4 rounds minimum
At least 1–2 panel interviews (1 hour each)
Additional round may be added only for exceptional candidates (complimentary, not punitive)
Team Fit
Must thrive in a large matrix organization
Highly collaborative; not a "solo contributor” culture
If you love turning complex, high-volume data into trusted, reusable products—this role is for you. We're looking for a
Senior Data Engineer
to design and deliver modern ELT pipelines, scalable architectures, and analytics-ready datasets that accelerate engineers, analysts, and data scientists. You'll lead with strong engineering fundamentals, partner across teams, and help set the standards for how data is built and used.
What You'll Do
Design, develop, optimize, and maintain data architecture + ELT pipelines aligned to business outcomes
Architect and implement end-to-end data solutions (warehouses/lakes, pipelines, models, products)
Solve complex data challenges to deliver insights and enable decision-making at scale
Build data products that boost productivity for engineers, analysts, and data scientists
Engineer high-quality features for modeling in close collaboration with data scientists and business partners
Lead evaluation and deployment of emerging analytics engineering tools/processes
Define and drive best practices, standards, and operational excellence (quality, stability, reuse, scale)
Mentor junior engineers; lead design discussions and cross-functional collaboration
Partner with ML engineers, BI, and solutions architects on strategic enterprise initiatives
Communicate and enable teams through education plans on standards, capabilities, and processes
What We're Looking For
Deep understanding of distributed computing, scalability, and data architecture
Strong critical thinking and ability to tackle big data challenges end-to-end
Proficiency with data warehouses/lakes and big data technologies (e.g., Spark/Databricks, Snowflake/Redshift, distributed databases)
Expertise in ELT + SQL and data analysis (advanced SQL required)
Modern pipeline practices and tooling (e.g., dbt, Airflow, Spark, Python and OSS data ecosystem)
Strong software engineering fundamentals and tooling (Git, CI/CD, JIRA); comfort in Linux + Bash/Z shell
Cloud experience building data/analytics solutions (GCP; Azure also valued)
Familiarity with BI tools (e.g., Power BI, Tableau, Looker, Alteryx)
Knowledge of dimensional modeling, governance concepts, and structured/unstructured data
Education
Bachelor's degree in Computer Science, Statistics, Engineering, or related field
Compétences linguistiques
- English
Avis aux utilisateurs
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