Slalom
Data Engineer- Databricks
Washington, District of Columbia · Full-time
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About the role
- Work schedule: This role is working a shift between approximately 12:00 AM - 9:00 AM Central Time (CT).
- This role is working a shift between approximately 12:00 AM - 9:00 AM Central Time (CT).
Responsibilities
- Build, enhance, and troubleshoot Azure Data Factory (ADF) pipelines and Snowflake ELT/ETL processes, and Databricks ELT/ETL.
- Perform root cause analysis (RCA), write documentation of findings, and implement fixes to prevent recurrence of issues.
- Drive operational improvements: automation, alert tuning, performance optimization, and reliability enhancements.
- Collaborate with teammates across regions-sharing context early, documenting decisions, and maintaining strong handoffs.
- Use agentic tools to support, not replace, engineering judgment by verifying evidence, challenging recommendations, protecting production data, and clearly communicating what the agent did, what was validated, and what still requires human approval.
- A Problem-solving mindset; Willingness to learn and understand how issues and resolutions fit into the EDW system design
Requirements
- Experience in working independently on assigned work
- 2-3 years of experience in data engineering, ETL/ELT development, or production support for data platforms.
- Hands-on experience with Snowflake and/or Databricks and Azure Data Factory (ADF).
- Comfort working in a fast-paced, consulting-oriented environment where priorities shift and outcomes matter.
- Prior Snowflake Cortex experience is not required.
Nice to have
- Experience with ServiceNow, Control-M, Azure DevOps, Git-based workflows, and/or CI/CD.
- Exposure to data observability/monitoring patterns, alerting, and platform logging.
- Familiarity with modern data tooling (e.g., dbt) or cloud data ecosystem patterns.
- Experience with Snowflake Cortex or enterprise GenAI platforms, including Cortex Agents, Cortex Search, Cortex Analyst, LLM functions, or a comparable enterprise agent or GenAI platform.
- Experience with responsible AI operations, including retrieval-augmented generation (RAG) or governed knowledge, evaluation and observability, access controls, human-in-the-loop approvals, and safe production rollout.
- What success looks like (first 3-6 months)
- You can independently troubleshoot common ADF/Snowflake/Databricks failures and stabilize recurring issues.
- You consistently meet incident response expectations and communicate status clearly.
Compensation
- $30k-$35k
Company info
- Slalom is a purpose-led, global business and technology consulting company.
- From strategy to implementation, our approach is fiercely human.
- In six+ countries and 43+ markets, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact.
- Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all.
- We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For seven years running.
- Learn more at Slalom.com.
This listing is sourced directly from Slalom's careers page and normalized into a canonical job model.