Senior, Data Engineer

TaxRise•Irvine, CA

13d•Onsite

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.

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.