Senior, Data Engineer

TaxRise Inc

$150K — $175K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-8+ years in data engineering, preferably in a production setting.
  • Hands-on experience with Databricks, including Delta Lake, Unity Catalog, and Workflows.
  • Proficient in Python, PySpark, and SQL for data transformation tasks.
  • Knowledge of orchestration tools like Airflow or Databricks Workflows.
  • Experience designing scalable data models and pipelines.
  • Strong communication skills for bridging technical concepts and non-technical stakeholders.
  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.

Responsibilities

  • Design and optimize end-to-end data pipelines using Databricks on AWS.
  • Architect ETL/ELT processes for data ingestion from core business systems.
  • Own data modeling decisions that enable operational reporting and analytics.
  • Manage Databricks configurations for performance and cost efficiency.
  • Implement data governance and access controls with Unity Catalog.
  • Build orchestration workflows for reliable pipeline execution.
  • Collaborate with cross-functional teams to align data infrastructure with business needs.

Benefits

  • Medical, Dental, and Vision Insurance after 60 days of employment.
  • Generous Paid Time Off policy.
  • 401(k) retirement plan with company contribution.
  • Professional Development Program for skill growth.
  • Access to an on-site gym and gaming lounge.
  • Catered lunches every Friday for team bonding.
  • Quarterly company outings for team building.
Full Job Description
ABOUT THE ROLE

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!

HOW YOU'LL BE REWARDED
  • Base salary: $150,000 - $175,000 per year (DOE)
  • Eligible for annual performance bonus

WHAT YOU'LL DO

Data Pipeline Architecture & Engineering
  • 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.

Platform & Infrastructure
  • 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.

Cross-Functional Collaboration
  • 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.

WHAT YOU'LL NEED TO HAVE
  • 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.


WHAT WE OFFER

We believe in taking care of our team so they can take care of our clients. Here's what you can expect as part of the TaxRise family:
  • 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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