Sr. Data Engineer

Title: Sr. Data EngineerDuration: full time, direct hire role Location: Austin, TX (4 Days onsite a week) Technical Stack Very strong SQLSpark / PySparkDatabricksEnterprise‑scale data engineering experience Interview Process 4 rounds minimumAt 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 organizationHighly collaborative; not a “solo contributor” cultureJob Description: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 DoDesign, develop, optimize, and maintain data architecture + ELT pipelines aligned to business outcomesArchitect and implement end-to-end data solutions (warehouses/lakes, pipelines, models, products)Solve complex data challenges to deliver insights and enable decision-making at scaleBuild data products that boost productivity for engineers, analysts, and data scientistsEngineer high-quality features for modeling in close collaboration with data scientists and business partnersLead evaluation and deployment of emerging analytics engineering tools/processesDefine and drive best practices, standards, and operational excellence (quality, stability, reuse, scale)Mentor junior engineers; lead design discussions and cross-functional collaborationPartner with ML engineers, BI, and solutions architects on strategic enterprise initiativesCommunicate and enable teams through education plans on standards, capabilities, and processesWhat We’re Looking ForDeep understanding of distributed computing, scalability, and data architectureStrong critical thinking and ability to tackle big data challenges end-to-endProficiency 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 shellCloud 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 dataEducation & Experience NeededBachelor’s degree in Computer Science, Statistics, Engineering, or related field7or more years of total experience in data engineering or analytics engineeringWhy Join UsOwn high-impact, enterprise-scale data solutions that enable analytics and MLWork with modern tools and patterns—design for scale, stability, and reuseCollaborate with cross-functional leaders and help shape the data engineering roadmapOpportunity to mentor, influence standards, and elevate the data culture