Senior Data Engineer

US--Remote

Job : 26-19301

Type: Regular Full-Time

# of Openings: 1

Category: Corporate

Mitchell International, Inc.

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.

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

• 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, Git Hub 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

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…