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July 14, 2026

Senior Data Engineer - Databricks

Senior • Hybrid

155,004 - 185,004 USD

Denver, CO

About SugarAI

SugarAI is redefining CRM for the age of AI. We help teams turn fragmented customer and revenue signals into clear, prioritized action through intelligent CRM solutions.

Where You Fit In

The Sugar Predict platform powers revenue intelligence for mid-market enterprises by fusing ERP and CRM data into actionable insights. As a Senior Data Engineer, you will own the Databricks pipelines that make this possible, driving production reliability, cost efficiency, and platform growth through customer onboarding and legacy modernization.

This role operates on a hybrid model, with a mix of remote work and in-office collaboration at the Denver, CO office, working in-office a minimum of 2-3 days per week.

Impact You Will Make in the Role

  • Own Databricks production support including monitoring, alerting, and incident response
  • Maintain and report SLA performance metrics for data pipeline delivery
  • Optimize Databricks pipelines for compute cost reduction and throughput improvements
  • Migrate legacy ETL/ELT pipelines to Databricks
  • Support customer onboarding through tenant pipeline provisioning and validation
  • Design and build scalable Databricks pipelines across Azure and AWS
  • Own Delta Lake architecture and processing strategies
  • Enforce data security best practices and compliance requirements
  • Implement data quality monitoring and observability
  • Apply multi-tenant data isolation patterns
  • Support globally distributed operations through on-call rotation
  • Maintain technical documentation and runbooks
  • Apply CI/CD best practices with automated testing and deployment tooling

What You Will Bring

  • 4+ years of data engineering experience
  • 2+ years of Databricks or Apache Spark experience across Azure and/or AWS
  • Proficiency in PySpark, SQL, and Python
  • Hands-on experience with Delta Lake including schema evolution and ACID transactions
  • Experience with pipeline performance tuning and compute optimization
  • Knowledge of PostgreSQL
  • Experience with legacy ETL tooling such as SSIS or Informatica
  • Experience with large-scale multi-tenant architectures
  • Cross-functional collaboration skills
  • Strong understanding of data governance, security, and compliance

Preferred Qualifications

  • Experience operating Databricks across Azure and AWS
  • Experience with Serverless Databricks optimization
  • Experience with Microsoft SQL Server
  • Exposure to ML feature engineering or feature stores
  • Experience with onboarding automation or IaC patterns
  • Databricks certification

Benefits and Perks

  • Excellent healthcare package
  • 401(k) match
  • Unlimited Paid Time Off
  • Paid Parental Leave
  • Legal and financial planning services
  • Discounted Pet Insurance
  • Travel and entertainment discounts
  • Health and Wellness Reimbursement Program
  • Educational and career development resources
  • Employee Referral Bonus Program
  • Merit-based career growth opportunities

Our company uses E-Verify to confirm the employment eligibility of all newly hired employees.

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