Senior Data Engineer, Finance

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🔥 4 minutes ago

🌲 North Carolina, Massachusetts, +1 more states – Remote

🌲 North Carolina – Remote 🍂 Massachusetts – Remote ⚔️ Virginia – Remote

💵 $161.5k - $283.9k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Genesys

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1990

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

Genesys is a leading provider of AI-powered experience orchestration solutions designed to deliver personalized experiences at scale. Their offerings include comprehensive contact center software, workforce engagement management solutions, and an open platform with cloud architecture. Genesys Cloud CX and EX platforms optimize both customer and employee experiences using intelligent automation and embedded AI, allowing seamless engagement across any channel. With a focus on various industries including banking, healthcare, retail, insurance, and government, Genesys assists organizations in transforming customer and employee interaction landscapes. Additionally, their AppFoundry Marketplace offers pre-integrated applications to extend platform functionalities.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ 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 treatments