Location: Remote- US
Employment Type: Full Time
Team: Data Engineering
We exist to power better care.
We are on a mission to enable better care by delivering the technology and insights to improve every patient journey. To achieve this, we are deliberately bringing together a multi-disciplinary team with healthcare, Silicon Valley big data software engineering, and cutting-edge data science capabilities. Clarify Health's enterprise analytics platform empowers providers, payers, and life sciences companies to deliver better care to patients through actionable insights. With industry-leading statistical modeling and machine learning, Clarify Health harnesses the power of the most comprehensive longitudinal dataset in the US by linking clinical, claims, prescription, lab, and social determinants of health data across over 300 million lives.
We came together to empower physicians and care teams to deliver great care. We are a purpose-driven team bringing our vision of better care to life.
* Please note, while this job is listed as remote, we can only employ in the following states: AZ, CA, CO, CT, FL, GA, ID, IL, KY, MD, MA, MI, MN, MO, NH, NJ, NY, NC, ND, OH, OR, PA, SC, TN, TX, UT, VA, WA, WI. If your state is not listed, we cannot move forward with your application. *
Clarify is looking for Senior Data Engineer to focus on ETL tools to integrate build production and post-production data pipelines.
Does this sound like you?
· You are excited to help solve healthcare problems with big data
· You are eager to learn new technologies as well as our existing architecture
· You have an enthusiastic, energetic personality; inquiring, investigative mind
· You embrace change as an opportunity to learn
· You take great care in the details
We are always looking for new team members who will add to our culture and have a strong passion for impact. As such, we are ideally looking for “all-around athletes” with strong leadership, analytics, and communication skills. In particular, the Senior Data Engineer will have:
Experience in building and tuning ETL pipelines on Apache Spark and Presto
ETL Orchestration tools such as Airflow
Experience with Python (Scala experience is a plus)
Experience integrating a wide variety of data sources including web services, files, databases, and web pages
Experience with RDS (PostgreSQL and/or MySQL)
Experience with one of the container services such as Docker or Kubernetes
Proficient in CI/CD (CircleCI)
Proficient in Git or SVN
AWS, Azure, or related experience is required
Bachelor’s or foreign equivalent degree in Computer Science, Information Technology, or a related field
5+ years of experience with direct data engineering
Healthcare experience is a plus
We believe that a happy, diverse, and impact-driven team is critical to our mission of transforming healthcare. Having a diverse team allows us to bring more ideas to the table when working on lighting the path to higher-value care. We embrace employees and applicants of all backgrounds, including those of traditionally underrepresented groups. With this in mind, we do not discriminate against any employee or applicant because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.