Manager, Data Engineering

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October 22

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DexCare

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Healthcare Insurance • SaaS • Health

DexCare is a healthcare technology company that provides a digital platform designed to enhance healthcare systems. Their platform focuses on improving access and capacity without sacrificing revenue for health systems. It offers solutions like digital discovery, care navigation, smart scheduling, and virtual delivery, all aimed at guiding patients to the best resources while balancing operational load. DexCare aims to facilitate better patient experiences and operational efficiencies in healthcare organizations, aiding in patient acquisition, virtual care scaling, and resource optimization. They work with health systems to improve care discoverability and streamline processes, ultimately helping healthcare providers see more patients with the same clinical resources while expanding access to care.

51 - 200 employees

⚕️ Healthcare Insurance

☁️ SaaS

💰 $50M Series B on 2022-01

📋 Description

• Lead a team of data engineers in building scalable, secure, and high-performance data pipelines and infrastructure. • Partner cross-functionally with product, engineering, and business stakeholders to define and execute a data engineering roadmap. • Architect and oversee scalable data pipelines for structured, semi-structured, and unstructured data. • 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. • Ensure 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.

🎯 Requirements

• 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. • Excellent leadership, communication, and stakeholder management skills.

🏖️ Benefits

• Eligible for Annual Bonus • Healthcare benefits, short/long term disability coverage, life insurance, and 401k • 12 weeks paid parental leave • Nine paid holidays & Unlimited PTO • Equity