Data Engineer- Databricks

Location: Remote – CST Hours
Employment Type: Full-Time Consultant
Duration: Project Based Contract Through End of Year with Likely Extension

Working Hours- 12:00 AM – 9:00 AM Central Time (CT) M-F.

Compensation- $30-35/hr

About Us  

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.

About the Role

Slalom’s Enhance & Operate (E&O) team is looking for a hands-on Data Engineer who enjoys building and improving data pipelines and keeping production platforms running smoothly. In this role, you’ll support a modern Databricks + Snowflake + Azure Data Factory (ADF) Enterprise Data Warehouse (EDW) ecosystem, combining data engineering fundamentals with operational excellence—monitoring pipelines, resolving incidents, developing code enhancements, and continuously improving reliability and performance in a service-oriented environment.  

You’ll work with a highly collaborative, cross-regional delivery model (“all-shore”) and partner closely with both technical and non-technical stakeholders.  

Work schedule: This role is working a shift between approximately 12:00 AM – 9:00 AM Central Time (CT). 

What You’ll Do  

• Build, enhance, and troubleshoot Azure Data Factory (ADF) pipelines and Snowflake ELT/ETL processes, and Databricks ELT/ETL.  
• Monitor daily/weekly/monthly data batch cycles and respond quickly to job failures, latency, or data-quality issues.  
• Diagnose and resolve production incidents within Service-Level Agreements (SLA) targets using SQL, Python, platform logs, documentation, and runbooks.  
• 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.  
• Work within ITIL/ITSM workflows (ticketing, incident/problem management, change processes) and communicate clearly with both technical and business stakeholders.  
• Collaborate with teammates across regions—sharing context early, documenting decisions, and maintaining strong handoffs.  
• Apply agentic AI in day-to-day E&O delivery using Snowflake Cortex and agentic coding tools to investigate incidents, accelerate root cause analysis, navigate code and data context, automate repeatable work, and turn operational knowledge into reusable skills.  
• 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.  

What You Bring  

• A proactive, data platform service-focused mindset: you will own incidents, issues, and development work end-to-end and follow your work through to resolution.  
• A Problem-solving mindset; Willingness to learn and understand how issues and resolutions fit into the EDW system design  
• Experience in working independently on assigned work; but also, comfortable collaborating with others to investigate and resolve issues; comfortable sharing concepts and information about issue resolution with teammates  
• 2-3 years of experience in data engineering, ETL/ELT development, or production support for data platforms.  
• Strong SQL skills (debugging, performance awareness, data validation).  
• Strong Python skills (troubleshooting, scripting, automation).  
• 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.  
• An agentic-assisted engineering mindset: comfort using AI agents as part of daily engineering work by providing clear context and constraints, reviewing proposed plans, SQL, and code, validating outputs against source evidence, and iterating when results are incomplete or unsafe. Prior Snowflake Cortex experience is not required.  
• Strong engineering fundamentals for AI-enabled operations, including Git and pull-request practices, scripting or Python experience, API and integration literacy, and the ability to trace issues across data pipelines, logs, code repositories, and operational records.  

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 building reusable agent solutions, including agent skills, tool integrations, prompts, or automations for repeatable engineering and operations workflows.  
• 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.  
• You deliver at least a few measurable improvements (automation, reduced failures, faster recovery, better monitoring).  
• You’re a trusted partner to teammates and stakeholders—reliable, proactive, and collaborative.  

Compensation and Benefits 

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses. 

Slalom is committed to fair and equitable compensation practices. For this position, the base salary pay range is $30-35/hr. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.

EEO and Accommodations 

Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration

for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements.

Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the

selection process. Please advise the talent acquisition team if you require accommodations during the interview process.