Data Engineer

Who is DexCare? DexCare optimizes time in healthcare, streamlining patient access, reducing waits, and enhancing overall experiences. Guided by our mission - Nobody waits for care - DexCare addresses tech gaps by aligning supply and demand to modernize healthcare infrastructures for an inclusive ecosystem. We are equally committed to our DEIB mission: Creating an inclusive workplace where diversity drives innovation, equity ensures fairness, and belonging strengthens collaboration, enabling everyone to thrive.   What is DexCare? DexCare, a digital care orchestration platform, streamlines care delivery logistics. It empowers healthcare systems to predict constraints and precisely schedule services, optimize capacity, and cut operational costs. Currently serving 57 million patients, including Kaiser Permanente and Providence, DexCare ushers in a new era of digital-care access, ensuring health systems can efficiently track and deliver every hour of capacity for consumer ease.  For more information, visit www.dexcare.com or follow us on LinkedIn.  What You’ll Do Maintain and enhance existing Python-based ETL pipelines and data workflows Collaborate with the implementation team to build and deploy new pipelines for incoming customers Write clean, efficient, and well-tested Python code following best practices Monitor, troubleshoot, and optimize data processing performance and reliability   What You’ll Bring 5+ years of experience building and maintaining data pipelines 2+ years of production-level Python development and SQL Server / PostgreSQL experience Ability to design flexible, reusable ETL solutions to address a wide range of data integration scenarios Familiarity with Git, CI/CD, Slack, Jira, Confluence and software engineering best practices Experience working with or supporting production data systems deployed in cloud platforms (AWS/GCP/Azure) Strong collaboration skills and ability to work in a fast-paced environment Good to have: 2+ years of experience working in healthcare domain Experience with observability tools like Datadog, Prometheus, or Grafana We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.