Lead a team of data engineers to build scalable data pipelines and infrastructure, ensuring data quality, governance, and compliance in a healthcare setting.
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, optimizecapacity, and cuts 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.
As the Sr. Manager of Data Engineering, you will lead a team of data engineers in building scalable, secure, and high-performance data pipelines and infrastructure. You’ll partner cross-functionally with product, engineering, and business stakeholders to define and execute a data engineering roadmap that supports DexCare’s internal analytics and external product capabilities. This role blends strategic leadership with hands-on technical execution in a highly regulated healthcare environment.
What You'll Do:
- Build, mentor, and manage a high-performing team of data engineers.
- Define and execute the data engineering roadmap aligned with DexCare’s strategic goals.
- Architect and oversee scalable data pipelines for structured, semi-structured, and unstructured data.
- Understand all the data sources that are needed to power DexCare’s use cases and help develop a unified data model
- Collaborate with product and engineering teams to deliver cross-functional data solutions.
- Own the end-to-end lifecycle of data ingestion, transformation, storage, and delivery, with a focus on creating ingestion, parsing, and transformation templates that can be reused
- Build automated quality checks and a process to continuously curate and improve those rules from across the team, along with circuit breakers for poor quality dataEnsure data quality, governance, and compliance with HIPAA and HITRUST standards.
- Manage relationships with third-party data vendors and integration partners.
- Drive adoption of modern data engineering practices including CI/CD, Infrastructure as Code, and observability.
- Communicate effectively across technical and non-technical audiences, including executives.
What You'll Bring:
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 7+ years of experience in data engineering, with 2+ years in a leadership role.
- Proven experience designing and managing large-scale data pipelines and lakehouse architectures.
- Expertise in Spark, Flink, dbt, and orchestration tools like Airflow or Prefect.
- Strong proficiency in Python, Scala, SQL, and NoSQL databases.
- Experience with cloud platforms (AWS/GCP), Databricks, and data warehouses (Snowflake, BigQuery, Redshift).
- Familiarity with visualization tools (Tableau, Power BI, D3).
- Experience with CI/CD pipelines, version control (Git), and production-grade software systems.
- Strong architectural skills and ability to resolve performance bottlenecks.
- Xxcellent leadership, communication, and stakeholder management skills.
Preferred Qualifications:
- Experience managing real-time data pipelines with low-latency SLAs.
- Hands-on experience with Databricks and ML model deployment in cloud environments.
- Exposure to deep learning, reinforcement learning, or NLP in production settings.
- Experience in healthcare data environments and regulatory compliance.
DexCare is an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. DexCare does not exclude people or treat them differently because of race, color, national origin, age, disability, or sex. DexCare provides reasonable accommodation to all applicants who require such accommodation to apply for the position or to perform the essential functions of the job.
Top Skills
Airflow
AWS
BigQuery
Databricks
Dbt
Flink
GCP
NoSQL
Power BI
Prefect
Python
Redshift
Scala
Snowflake
Spark
SQL
Tableau
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