Director, Data Engineer - Somatus, Inc.
McLean, VA
About the Job
As the largest and leading value-based kidney care company, Somatus is empowering patients across the country living with chronic kidney disease to experience more days out of the hospital and healthier at home.
It takes a village of passionate and tenacious innovators to revolutionize an industry and support individuals living with a chronic disease to fulfill our purpose of creating More Lives, Better Lived. Does this sound like you?
Showing Up Somatus Strong
We foster an inclusive work environment that promotes collaboration and innovation at every level. Our values bring our mission to life and serve as the DNA for every decision we make:
- Authenticity: We believe in real dialogue. In any interaction, with patients, partners, vendors, or our teammates, we are true to who we are, say what we mean, and mean what we say.
- Collaboration: We appreciate what every person at Somatus brings to the table and believe that together we can do and achieve more.
- Empowerment: We make sure every voice gets heard and all ideas are considered, especially when it comes to our patients’ lives or our partners’ best interests.
- Innovation: We relentlessly look for ways to improve upon the status quo to continuously deliver new solutions.
- Tenacity: We see challenges as opportunities for growth and improvement — especially when new solutions will make a difference for our patients and partners.
Showing Up for You
We offer more than 25 Health, Growth, and Wealth Work Perks to help teammates learn, grow, and be the best version of themselves, including:
- Subsidized, personal healthcare coverage (medical, dental vision)
- Flexible Paid Time Off (PTO)
- Professional Development, CEU, and Tuition Reimbursement
- Curated Wellness Benefits supporting teammates physical and mental well-being
- Community engagement opportunities
- And more!
The Director, Data Engineer will be responsible for developing, executing, and implementing data strategy, including delivering solutions involving data integration, data governance and performance optimization. This position will report to the SVP of Technology.
This is a remote role with preference to work EST hours.
Responsibilities:- Grow and lead motivated, high performing teams that produce high quality solutions, meeting goals and delivering results.
- Collaborates with IT to create and maintain environments for Development and QA Provides strong analytical, problem solving, and troubleshooting expertise and guidance.
- Continuously assesses, recommends, and implements improvements in processes and procedures, evaluating new approaches, industry standards, new tooling, etc.
- Implement QA, code reviews, and project management processes.
- Develop and implement quality controls, SDLC, project management best practices to ensure quality standards, organizational expectations, and regulatory requirements.
- Build and a lead high performing team that embrace change, and rapidly build, test, and scale data transformational solutions that drive incremental business value for our customers and partners.
- Stay updated with the latest in data engineering and cloud technologies, and industry trends.
- Develop development and education plans on data engineering capabilities, systems, standards, and processes.
- Identifies complex data engineering challenges and provide innovative solutions.
- Ensure efficient, maintainable code for data processing, analytics, and automation tasks.
- Understands data governance principles, data privacy regulations, and best practices for ensuring data security and compliance.
- Integrates data from Somatus products, client/vendor feeds into a centralized warehouse.
- Builds Extract, Load, and Transform (ELT) processes for ingesting and transforming data from various sources into a unified format.
- Optimize data warehouse performance and cloud cost management.
- Collaborate with internal and external clients to develop solutions, manage relationships, and drive solution and delivery/planning discussions.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Qualifications:- Bachelor’s degree in computer science, engineering, information systems, mathematics, or relevant equivalent experience.
- 12+ years of overall technology and data experience.
- 5+ years leading a cloud-based data engineering team responsible.
- 5+ of experience in Data Architecture, Data Warehouse design.
- 4+ years of experience building data pipelines with modern tools such as Data Bricks, ADF, Logic Apps, etc.
- 5+ years of managing a team, and leading multiple projects.
- 4+ years or equivalent experience with SQL, relational databases, and data warehouses, building data pipeline for AI/ML team using Python or similar technology.
- Proven experience with managing data engineering project.
- Experience using Databricks, AWS, Azure, GCP, Python.
- Experience in developing and implementing production grade systems, applications, and big data management solutions.
Knowledge, Skills, and Abilities:
- Ability to motivate, inspire while instilling accountability and results which can promote a collaboration across the organization with all levels of leadership to develop plans, strategies and establish priorities.
- Ability to communicate complex topics with ease and simplicity.
- Willingness to learn new emerging technologies and apply innovative ideas to resolve problems.
- Ability to perform under pressure and optimize team to attain a business goal.
- Ability to collaborate effectively with clients and internal stakeholders.
- Possess strong leadership and communication skills.
- Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior-level management.
- Proven track record of overseeing multiple projects and experience leading large scale data integration, ingestion.