Senior Data Engineer, Finance

• Own the end-to-end migration of data pipelines from Snowflake to AWS, improving scalability, cost efficiency, and system observability
• Design and implement dimensional data models that enable accurate, SOX-compliant financial reporting and analytics
• Build and evolve Medallion Architecture data layers, ensuring high-quality, testable Silver and Gold datasets
• Drive performance optimization across SQL transformations and data processing workflows to reduce cost and improve execution efficiency
• Establish and enforce engineering standards for testing, deployment, and documentation across data platforms
• Implement data quality frameworks that improve data reliability through validation, anomaly detection, and monitoring
• Lead architecture decisions and influence technical direction across Strategic Finance and Customer Success data ecosystems

• Partner with business stakeholders to translate complex requirements into scalable, production-ready data solutions, * A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.

• Next, you’ll meet the hiring manager and other members of the interview team.

• We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.

• After interviews are complete, our team will follow up with the final steps.

Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.

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• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience
• 6+ years of experience building production-grade data platforms or modern data warehouse solutions
• Expert-level SQL skills, including complex query design, performance tuning, and large-scale data modeling
• Strong Python development experience for building robust data pipelines and automation
• Proven experience working with cloud-based data platforms, including Snowflake and AWS services
• Demonstrated expertise in CI/CD pipelines, Git-based workflows, and automated testing frameworks
• Strong understanding of data governance, observability, and monitoring best practices
• Ability to communicate complex technical concepts effectively to both technical and business stakeholders
• Familiarity with AWS services such as Glue, S3, and CloudWatch for data pipeline orchestration

Preferred Qualifications:

• Experience designing and implementing financial data models in regulated environments
• Experience with data lineage, cataloging tools, and enterprise data governance frameworks
• Track record of leading cross-functional data initiatives with measurable business impact

$161,500.00 - $283,900.00 vision insurance, paid holidays, 401(k), remote work United States, Indiana, Indianapolis 7601 Interactive Way (Show on map) Sep 22, 2026

Be the one building AI-powered experiences where they matter most.

At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.

Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day.

*Note this role is remote for candidates residing in US within EST or CST time zone (Central to East Cost only)., This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities. $161,500.00 - $283,900.00, * Medical, Dental, and Vision Insurance.

• Telehealth coverage
• Flexible work schedules and work from home opportunities
• Development and career growth opportunities
• Open Time Off in addition to 10 paid holidays
• 401(k) matching program
• Adoption Assistance
• Fertility treatments

• AI at enterprise scale- Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+new AI features were released in the last fiscal year.
• A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.
• Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support.
• Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.
• Recognized globally - Genesys is Great Place to Work certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.

Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report., Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences.Genesys Cloud is the Agentic Orchestration Platform that securely connects people, systems, data and AI across the enterprise with built-in governance and control. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visitwww.genesys.ai.