Senior Data Engineer, Finance

🕒 July 29

🌲 North Carolina, Massachusetts – Remote

🌲 North Carolina – Remote 🍂 Massachusetts – Remote

💵 $161.5k - $283.9k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 38%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 • Design and implement dimensional data models for SOX-compliant financial reporting and analytics • Build and evolve Medallion Architecture data layers, including testable Silver and Gold datasets • Optimize SQL transformations and data processing workflows to reduce cost and improve execution efficiency • Establish and enforce engineering standards for testing, deployment, and documentation • Implement data quality frameworks for 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 • Applicants must be legally authorized to work in the United States without current or future employer sponsorship

🏖️ 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 • Paid volunteer time • August Free Fridays • Well-being resources • Regionally tailored programs for employees and their families • Mentorship, learning programs, leadership development and education support