Sr. Cloud Data Engineer

ELLKAY started out providing connectivity solutions to laboratories and within a few years, grew to also provide data management solutions to ambulatory organizations. ELLKAY is now a trusted data management partner in five healthcare segments. ELLKAY’s solutions continue to serve laboratories and ambulatory practices and have expanded to empower hospitals and health systems, healthcare IT vendors, ambulatory practices, health plans, and other healthcare organizations with cutting-edge technologies and solutions that drive their growth and interoperability strategies.

Today, ELLKAY remains true to our core values, building strong partner relationships and offering unparalleled service and support while providing innovative, scalable solutions to the challenges our customers face in today’s data-rich world.

ELLKAY's experience, customer-focused approach, and reputation for innovation, speed, and accuracy differentiate ELLKAY as a premier partner for your interoperability needs and data management strategy.

Job Description

We are seeking a Senior Cloud Data Engineer to help build and scale our modern healthcare data platform. This hands-on role will design, build, and operate cloud-native data pipelines that ingest, cleanse, normalize, and deliver clinical and operational healthcare data at scale.

You will work closely with architecture, engineering, data governance, QA, and product teams to modernize legacy point-to-point integrations into a secure, scalable, observable, and reusable data platform.

Essential Duties & Responsibilities

• Build scalable data pipelines for batch and streaming workloads using technologies such as Spark, Databricks, Airflow, and dbt.
• Process healthcare data including HL7, FHIR, X12/EDI, CCD/CCDA, and flat-file formats.
• Build cloud lakehouse solutions using S3/ADLS, Delta Lake, Apache Iceberg, or Hudi, along with modern cloud data warehouses i.e. Snowflake, Redshift
• Improve data