Job Information
Evolent Data Engineer in Topeka, Kansas
Your Future Evolves Here
Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones.
Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when they're supported to live their best lives, and when they feel welcome to bring their whole selves to work. That's one reason why diversity and inclusion are core to our business.
Join Evolent for the mission. Stay for the culture.
What You’ll Be Doing:
We are seeking a dynamic Data Engineer to join our team at Evolent to shape the future of healthcare. This role is perfect for someone passionate and proactive about working on new ideas towards the solution side.
The role combines a passion for improving data quality and integrity and applies innovation and creative thinking to develop a continuous data improvement framework.
Collaboration Opportunities:
This position will play a critical role in interacting with other data Scientists and cross-functional organizations including engineering, delivering, subject-matter experts, product managers, as well as platform engineers to deliver a scalable framework.
What You Will Be Doing:
Independently understand all aspects of a business problem including those unrelated to their area of expertise, weigh the pros and cons of different approaches, and suggest ones likely to succeed.
Work with a cross-functional organization including engineering, delivering, subject-matter experts, product managers, as well as platform engineers to deliver a scalable framework.
Map the customer data into Evolent canonical form. Identify and ingest noncanonical fields and generalize the process to a minimal level of customization.
Proactively design and adapt the canonical form to suit changing query patterns and needs.
Ultimately own data availability and quality for the Data Science organization.
Streaming technologies like Kafka , Spark Streaming etc.
Qualifications Required and Preferred:
Bachelor’s or master’s degree in computer science or related field.
5+ years of experience pulling and cleaning data from internal and external sources.
5+ years of experience with the use of a programming/scripting language (Python, and Advanced SQL) for building data pipelines.
2+ years of experience in automating the manual processes of data transfer while designing for scalability.
Experience in ETL orchestration and workflow management tools with a strong preference for Apache Airflow.
Experience in Spark or other distributed computing frameworks is preferred.
Kubernetes and Docker experience is preferred.
Experience working with APIs to collect or ingest data is preferred.
Technical Requirements:
We require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations.
Evolent is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status. If you need reasonable accommodation to access the information provided on this website, please contact recruiting@evolent.com for further assistance.
The expected base salary/wage range for this position is $130,000 - $140,000. This position is also eligible for a bonus component that would be dependent on pre-defined performance factors. As part of our total compensation package, Evolent is proud to offer comprehensive benefits (including health insurance benefits) to qualifying employees. All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts.
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