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
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