Senior, Data Engineer
About The Position
The Senior, Data Engineer is responsible for designing, building, and scaling the data infrastructure that powers reporting, analytics, and operational decision-making across TaxRise. You'll own the architecture of our data pipelines end-to-end — from ingestion through transformation to delivery — with deep hands-on ownership of our Databricks environment on AWS. This role requires someone who can work independently, make sound architectural tradeoffs, and collaborate closely with cross-functional technical teams as our data platform matures. This role is 100% on-site in Irvine, CA. If you're excited to work side-by-side with our team, then you're a perfect fit. If not, we kindly ask you to hold off on applying. Thanks for understanding and happy job hunting!
Requirements
- 5-8+ years of hands-on data engineering experience in a production environment.
- Extensive, hands-on experience with Databricks — including Delta Lake, Unity Catalog, Workflows, and cluster/job optimization.
- Strong proficiency in Python, PySpark, and SQL for building and debugging distributed data transformations.
- Experience with workflow orchestration tools (Airflow or Databricks Workflows).
- Proven ability to design data models and pipelines that scale with business growth.
- Strong communication skills — able to translate technical concepts for non-technical stakeholders.
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
Responsibilities
- Design, build, and optimize end-to-end data pipelines using Databricks (Delta Lake, Unity Catalog, Workflows) on AWS.
- Architect scalable ETL/ELT processes that ingest data from Salesforce, Talkdesk, Paylocity, and other core business systems.
- Own data modeling decisions that support both operational reporting and downstream analytics.
- Manage and optimize Databricks cluster configuration, compute costs, and job performance.
- Implement data governance and access controls through Unity Catalog.
- Build and maintain orchestration workflows (Airflow or Databricks Workflows) for reliable, monitored pipeline execution.
- Work closely with the Chief Data Officer to shape data architecture strategy and prioritize engineering roadmap.
- Partner with Salesforce Developers to ensure seamless data flow between Salesforce and the broader data ecosystem.
- Collaborate with other Data Engineers on shared pipeline standards, code review, and platform consistency.
- Work alongside Full Stack Developers to support data needs for internal tools and client-facing applications.
Benefits
- Medical, Dental, and Vision Insurance (starting after 60 days)
- Paid Time Off
- 401(k) retirement plan with company match
- Professional Development Program to support your growth
- Access to our on-site gym and gaming lounge
- Catered team lunches every Friday
- Fun and energizing quarterly company outings
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What This Job Offers
Job Type
Full-time
Career Level
Senior
