Database Engineer - Military veterans preferred

Genex Service LLC


Database Engineer

US--Remote

Job ID: 25-18256
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.

Enlyte, the parent brand of Mitchell, Genex and Coventry, is a unique organization in the Property & Casualty insurance industry. We unite three great businesses with a shared vision of leveraging technology innovation, clinical services, and network solutions to assist our customers and the people they serve. Our suite of products and services empowers our employees to help people recover from challenging life events while offering opportunities for meaningful impact and career growth.

Job Description:  As a Data Engineer in the Casualty Analytics Group, you will design, build, and maintain the data infrastructure that powers Enlyte's analytics and decision-making capabilities. You will be responsible for developing robust data pipelines that integrate data from multiple source systems into our Snowflake data warehouse, ensuring data quality, reliability, and accessibility for downstream analytics applications.

Key Responsibilities:

• Design and establish our core data architecture, implementing the initial data pipelines that will serve as the blueprint for future development
• Build our first production data pipelines using DBT and Dagster to integrate critical data sources (SQL Server, Oracle, PostgreSQL, Salesforce) into Snowflake
• Partner with business stakeholders to identify and prioritize high-value data integration opportunities that deliver immediate business impact
• Establish engineering standards, best practices, and documentation for our growing data team
• Make strategic technology recommendations for tools, frameworks, and processes that balance immediate needs with long-term scalability
• Implement pragmatic data governance and quality frameworks that can evolve as the department matures
• Mentor future team members as the department grows
• Create proof-of-concepts and MVPs that demonstrate value and secure buy-in for larger data initiatives

• Bachelor's degree in Computer Science, Data Engineering, or a related technical field
• 5+ years of hands-on experience building data infrastructure and pipelines in production environments
• Proven experience setting up data systems from scratch or leading significant data architecture transformations
• Strong proficiency with SQL and Python for data manipulation and pipeline development
• Experience with modern data stack technologies including Snowflake, DBT, and orchestration tools like Dagster or Airflow
• Demonstrated ability to work with AWS cloud services for data integration (S3, Glue, Lambda, etc.)
• Track record of successfully integrating data from diverse source systems
• Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders
• Preferred Skills:
• Experience with using containerization technologies such as Docker and Kubernetes to deploy and manage data applications
• Experience being an early/founding member of a data team with demonstrated success scaling the function
• Self-directed problem-solver who thrives in ambiguous environments and can create structure where needed
• Passion for building things from the ground up with a pragmatic approach to balancing speed and technical excellence
• Ability to influence and collaborate across organizational boundaries without formal authority
• Understanding of the insurance industry, particularly workers' compensation or P&C insurance
• Experience with analytics platforms like Hex
• Knowledge of the workers' compensation insurance industry

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