Senior Data Engineer, Finance

Genesys; Northern (KY); Hybrid; USD 162,000 - 284,000; Full time

Benefits offered by this job

Medical / Dental / Vision insurance

Telehealth coverage

Flexible work schedules

Career growth opportunities

Open time off + 10 holidays

401(k) matching

Adoption assistance

Fertility treatments

Job summary

Genesys is seeking a Senior Data Engineer for the Finance domain to design and operate data platforms at scale. You will migrate pipelines from Snowflake to AWS, build dimensional models for SOX-compliant reporting, and evolve data layers using a Medallion architecture to ensure high quality, observable and auditable financial data.

You will influence architecture and data strategy across Finance and Customer Success, collaborating with stakeholders and advancing cloud-based data solutions

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience.
• 6+ years of experience building production-grade data platforms or modern data warehouse solutions.
• Expert-level SQL skills with complex queries and large-scale data modeling.
• Strong Python development experience for building data pipelines and automation.
• Experience with Snowflake and AWS services.
• CI/CD pipelines, Git workflows, and automated testing.
• Knowledge of data governance, observability, and monitoring best practices.
• Ability to communicate complex concepts to technical and business stakeholders.
• Familiarity with AWS Glue, S3, CloudWatch.

Responsibilities

• Own the end-to-end migration of data pipelines from Snowflake to AWS.
• Design dimensional data models for SOX-compliant reporting.
• Build and evolve Medallion Architecture data layers.
• Drive performance optimization of SQL transformations and ETL workflows.
• Establish engineering standards for testing, deployment, and documentation.
• Implement data quality frameworks with validation and monitoring.
• Lead architecture decisions across Finance and Customer Success data ecosystems.
• Partner with stakeholders to translate requirements into scalable data solutions.

Skills

SQL

Python

AWS

Snowflake

CI/CD

Data governance

Communication

Education

Bachelor’s degree in CS/Engineering/Math

Tools

Snowflake

AWS services

Glue

S3

CloudWatch

Job description

## Senior Data Engineer, FinanceApply: North Carolina, USA: Virginia, USA: Massachusetts, USA: Full time: Posted Today: JR111860**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 US in EST or CST****Role Overview:** This role shapes the future of **financial data at scale** by transforming how critical business data is modeled, governed, and delivered across the organization. You will lead the **evolution of a modern data platform, migrating complex pipelines into AWS** while ensuring auditability, performance, and trust for financial reporting. At Genesys, we are redefining how organizations engage with customers through AI-driven experiences, and this role directly supports that mission by enabling accurate, timely, and reliable data for strategic decision-making. You will operate with high autonomy, **influencing architecture, engineering standards, and cross-functional data strategy across Finance and Customer Success.** This position offers visibility into enterprise initiatives and the opportunity to drive platform-level impact while expanding technical and leadership capabilities.This position is **not eligible for employer-sponsored work authorization (e.g., H-1B, TN, O-1, or other employment-based visas), now or in the future.** Applicants must be legally authorized to work in the United States at the time of application and throughout employment without the need for current or future employer sponsorship.**Key Responsibilities:*** **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**Required Qualifications:*** 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**Compensation:**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**Benefits:*** 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 treatmentsClick here to view a summary overview of our Benefits. **Working at Genesys*** **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. **What Happens After You Apply**After you apply, here's what you can typically expect:* Our Talent Acquisition team reviews your application with the hiring team.* 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. **Stay Connected**Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.Get notified about relevant opportunities. # **Be the one building what's next - where AI, experience and impact come together.** **Employee Referral**If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. **About Genesys:**Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys CloudTM is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. 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, visit www.genesys.com. **Reasonable Accommodations:**If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at [e-mail]. You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email. This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response. **Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.**