Senior Database Engineer

Quest Oracle Community; Northern (KY); Hybrid; USD 87,000 - 135,000; Full time

Job summary

Genex Service LLC is seeking a Senior Data Engineer to lead the design and buildout of data infrastructure powering analytics. You will work with Snowflake and dbt to integrate data from multiple sources and set architectural direction for scalable pipelines.

Responsibilities include collaborating with stakeholders to identify high-value data opportunities, enforcing standards, and mentoring team members as the department grows. Strong SQL, Python, and cloud experience required.

Qualifications

• 6+ years building data infrastructure and pipelines in production.
• Expert SQL skills including performance tuning and window functions.
• Python for data pipelines and automation.

Responsibilities

• Lead design and buildout of data infrastructure powering analytics.
• Define patterns and standards for data pipelines in Snowflake.
• Collaborate with stakeholders to prioritize data integration opportunities.
• Enforce engineering standards via reviews and documentation.
• Provide mentorship and lead growing data team members.
• Prototype MVPs and secure buy-in for larger initiatives.

Skills

SQL proficiency

Python

Snowflake

dbt

Airflow

AWS

Data modeling

Communication

Education

Bachelor's degree in CS or related

Tools

Docker

Kubernetes

Power BI/Tableau

GitHub CoPilot / CoCo

Job description

Genex Service LLC

Senior Database Engineer

US--Remote

Job ID: 26-19299

Type: Regular Full-Time

# of Openings: 1

Category: Corporate

Mitchell International, Inc.

Overview

At Enlyte, we combine innovative technology, clinical expertise, and human compassion to help people recover after workplace injuries or auto accidents. We support their journey back to health and wellness through our industry-leading solutions and services. Whether you're supporting a Fortune 500 client or a local business, developing cutting-edge technology, or providing clinical services you'll work alongside dedicated professionals who share your commitment to excellence and make a meaningful impact. Join us in fueling our mission to protect dreams and restore lives, while building your career in an environment that values collaboration, innovation, and personal growth.

Be part of a team that makes a real difference.

Responsibilities

As a Senior Data Engineer in the Casualty Analytics Group, you will lead the design and buildout of the data infrastructure that powers Enlyte's analytics and decision-making capabilities. You'll join a growing engineering team, setting the architectural direction for data pipelines that integrate multiple source systems into our Snowflake data warehouse. This is a foundational role—you'll define patterns, establish standards, and shape how the team scales.

Key Responsibilities

• Build and maintain production data pipelines using Snowflake and dbt to integrate and transform critical data from various sources (e.g. SQL Server, Oracle, PostgreSQL, Salesforce)
• Design and establish our core data architecture, defining the patterns and frameworks that production pipelines will follow as the team grows
• Partner with business stakeholders to identify and prioritize high-value data integration opportunities that deliver immediate business impact
• Establish and enforce engineering standards through documentation, design reviews, and code reviews
• Make strategic technology and governance recommendations, implementing frameworks that balance immediate needs with long-term scalability
• Mentor and lead team members as the department grows
• Lead proof-of-concepts and MVPs that demonstrate value and secure buy-in for larger data initiatives

Qualifications

• 6+ years of hands-on experience building data infrastructure and pipelines in production cloud environments
• Expert-level proficiency in SQL, including performance tuning and complex window functions
• Strong working knowledge of Python for data pipeline development and automation
• Deep technical experience with modern data stack technologies including Snowflake, dbt, data ingestion tools (e.g. Snowflake Openflow, Fivetran), orchestration tools (e.g. Dagster, Airflow), AI-assisted development (e.g. Snowflake CoCo, GitHub CoPilot)
• Extensive work with OLTP databases (e.g. PostgreSQL, Oracle, SQL Server), with strong understanding of the differences between OLTP and OLAP systems
• Demonstrated ability to work with AWS cloud services for data workloads (S3, IAM, networking, Lambda, or similar)
• Experience defining and enforcing CI/CD practices for data pipelines (e.g. automated testing, version control workflows, deployment patterns)
• Experience with data modeling (Star Schema, One Big Table, Data Vault, or similar)
• Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders and influence technical direction across teams
• Self-directed problem-solver who thrives in ambiguity, builds from the ground up, and influences across organizational boundaries without formal authority

Preferred Skills

• Bachelor's degree in Computer Science, Data Engineering, or a related technical field
• Experience with Medallion Architecture
• Experience with using containerization technologies such as Docker and Kubernetes to deploy and manage data applications
• Experience with analytics platforms like Hex and/or BI tools such as Power BI or Tableau
• Experience being an early/founding member of a data team with demonstrated success scaling the function
• Prior experience evaluating and selecting tools/vendors for a data platform
• Understanding of the insurance industry, particularly workers' compensation or P&C insurance

Benefits

We're committed to supporting your ultimate well-being through our total compensation package offerings that support your health, wealth and self. These offerings include Medical, Dental, Vision, Health Savings Accounts / Flexible Spending Accounts, Life and AD&D Insurance, 401(k), Tuition Reimbursement, and an array of resources that encourage a lifetime of healthier living. Benefits eligibility may differ depending on full-time or part-time status. Compensation depends on the applicable US geographic market. The expected base pay for this position ranges from $87,000 - $135,000 annually, and will be based on a number of additional factors including skills, experience, and education.

The Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.