FinOps Data Engineer

FinOps Data Engineer

Req number:

R6696

Employment type:

Full time

Worksite flexibility:

RemoteWho we are

CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.

Job Summary

We are seeking a highly skilled FinOps Data Engineer to join our dynamic team. As a FinOps Data Engineer, you will play a crucial role in designing and implementing ETL pipelines, building cost dashboards, ensuring tagging compliance, detecting anomalies, and collaborating with stakeholders to optimize cloud spend. This position will be full-time and remote.

Job Description

We are looking for a FinOps Data Engineer who will bridge the gap between cloud financial operations and engineering. This position will be Full-time and Remote position.

What You'll Do

• Design and develop ETL solutions for cost and usage data using best practices for data warehousing and analytics.

• Analyze cloud cost and usage across AWS, Databricks, and other Cloud & On-Prem platforms.

• Build and maintain cloud cost dashboards and reporting solutions for visibility across LOBs and programs.

• Implement tagging standards and establish compliance checks and generate reports to ensure adherence to tagging standards.

• Detect & Analyze cost anomalies and usage patterns; proactively identify optimization opportunities using AWS Cost explorer, Databricks System tables & backup tables as driver.

• Collaborate with stakeholders (DevOps, Application teams, Finance, Architect, Infra) to implement cost-saving strategies following FinOps Foundation standards.

• Develop automated workflows for data ingestion, transformation, and validation.

• Document processes, data flows, and standards for FinOps operations.

• Work with vendors and internal teams to ensure KPIs for cost and tagging compliance are met.

• Enable accurate showback/chargeback models aligned to LOB/Program.

• Support forecast vs. actual reporting and provide monthly FinOps insights by enabling automated workflows, alerts, notifications, guardrails.

• Work with DevOps teams on cluster governance, resource control, policy enforcement, guardrails, build cost validation queries, build granular user level cost at tags like LOBs, data products, sessions and roll up to workspace level cost.

• Manage pipelines for ETL jobs, infrastructure automation, and monitoring tools.

• Implement cost-aware DevOps practices (auto-scaling, scheduling, workload orchestration).

• Collaborate on implementing cluster policies, SQL warehouse governance, and operational efficiency.

• Have deep working knowledge of on-prem & cloud ESB architecture to address the client's requirements for scalability, reliability, security, and performance.

• Provide technical assistance in identifying, evaluating, and developing systems and procedures.

• Manage foundational data administration tasks such as scheduling jobs, troubleshooting job errors, identifying issues with job windows, assisting with Database backups and performance tuning.

• Design, Develop, Test, Adapt ETL code & jobs to accommodate changes in source data and new business requirements.

• Proactively communicate innovative ideas, solutions, and capabilities over and

What You'll Need

Required

• 6+ years in Data Engineering with strong ETL design, development, and optimization experience.

• Hands-on experience with AWS services and cost management tools.

• Strong knowledge of tagging strategies and governance in multi-cloud environments.

• Proficiency in SQL, PL/SQL, and data warehousing best practices.

• Experience with DevOps practices, CI/CD pipelines, and automation tools.

• Familiarity with FinOps principles and cloud cost optimization techniques.

• Ability to analyze large datasets and detect anomalies using scripting or BI tools (e.g., Power BI, Tableau).

• Excellent communication skills to work with technical and business stakeholders.

• Strong problem-solving capabilities. Results oriented. Relies on fact-based logic for decision-making.

• Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.

• Willing to flex daily work schedule to allow for time-zone differences for global team communications.

• Strong interpersonal and communication skills

Reasonable accommodation statement

If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to or – 8111.

---