Overview

We are accepting applications for the Data Engineering Manager position to work on a product that helps improve the health of our population.

• Do you enjoy working with leading-edge technologies?
• Be part of a fast-moving, fast-growing, innovative technology team.
• Directly improve the daily lives of tens of thousands of our neighbors?

If so, please contact us!

Who We Are

Leap Metrics is headquartered in Richardson, TX. We are a healthcare analytics and care management software company founded to improve health outcomes, lower the cost of care, and improve regulatory compliance. Our software platform is called Sevida which stands for “In the service of human lives”. We are on a mission to leverage technology to serve populations with chronic healthcare needs.

We are a company of experienced technologists; a passionate dedicated group of developers, designers, client advocates, and entrepreneurs. Our team has some of the best enterprise software minds in the technology industry.

To learn more about us, please visit our website at http://leapmetrics.io

Why Work for Leap Metrics?

• MEANINGFUL MISSION – Empowering health providers to focus on care
• FULFILLMENT – Make an impact by building a meaningful product
• LEADING EDGE TECHNOLOGY – Advance your technical skills by working with the latest and most innovative technology.
• COMPANY CULTURE: - team-oriented, collaborative, supportive, innovative
• REMOTE WORK – Work from anywhere in the US.

What You Will Do

• Collaborate with company stakeholders on vision, strategy and execution
• Lead design, development, deployment, and management of the system’s data architecture; map requirements to technology
• Create new data models, metadata structures, and pipelines
• Ensure compliance with regulatory requirements and data security
• identify key performance indicators (KPIs) to gauge and track the efficacy of the data infrastructure and its individual components.
• Continuously improve the performance and reliability of the data infrastructure.
• Collaborate with and manage data teams
• Assist in establishing and managing engineering budgets
• Manage vendor relationships
• Tune the performance of the data infrastructure and optimize the cost
• Define and manage data governance policies
• Collaborate with data science teams and facilitate their data needs
• Collaborate with other team members on AI architecture and development
• Assist with Business Intelligence requirements
• Create and maintain a library of all data architecture artifacts
• Solve complex architectural challenges with innovative design patterns
• Be a member of the architecture committee that makes key technological decisions
• Translate, build and design blueprints to address functional requirements
• Contribute to product development
• Troubleshoot complex issues - report, debug, and upgrade software
• Mentor and collaborate with other team members
• Develop data engineering policies and procedures
• Assist in hiring engineers and key team members
• Coordinate with team members to drive and meet deadlines

Requirements

• BA or MS in IT or related discipline; 7 years of experience
• Passion for innovation
• Prior experience building large-scale data infrastructure for SaaS web applications
• Strong experience with data modeling and building data warehouses for enterprise-scale analytics
• Deep hands-on knowledge of modern data stacks, tools, and frameworks
• Good understanding of artificial intelligence (AI) technologies, including NLP and LLMs
• Solid understanding of data lifecycle management
• Strong experience with building and managing scalable and robust ETL pipelines using tools such as AirFlow and DBT
• Experience with messaging platforms such as Kafka
• Ability to create robust enterprise data models
• Ability to map legacy data structures/processes to newly developed data structures/processes
• Deep understanding of Python programming language
• Strong experience with cloud data platforms such as Snowflake
• Ability to create advanced SQL queries to develop data profiles needed for analysis and to derive results.
• Prior experience with data security design patterns
• Proven ability to learn new technology quickly and effectively
• Communicating clearly and appropriately and thinking clearly under pressure
• Ability to multitask

Nice to Have Skills / Experience

• Experience with performance tuning, redundancy, load balancing, high availability, and disaster recovery
• Experience with DevOps in the cloud
• Experience with Data Vault 2
• Familiarity with Machine Learning models and AI
• Experience with caching solutions such as Redis
• Exposure to Big Data technologies
• Experience in Healthcare

Location

US only - Dallas/Ft. Worth Metroplex

Benefits

• Competitive salary and bonus
• Health insurance
• Paid time off
• Professional development assistance