Senior Cloud Data Engineer Remote Healthcare Data Platform

Ellkay,-LLC; Elmwood Park (NJ); Hybrid; USD 125,000 - 150,000; Full time

Benefits offered by this job

Remote work options

Health benefits

Life and LTD

401k matching

Work-life balance

Generous PTO

Gym stipend

Employee discounts

Job summary

ELLKAY is seeking a Senior Cloud Data Engineer to design, build, and operate cloud-native data pipelines for healthcare data at scale. You’ll modernize legacy integrations into a secure, observable data platform and collaborate with architecture, governance, QA, and product teams to deliver reliable solutions.

You will implement batch and streaming pipelines, work with HL7/FHIR data formats, and build lakehouse solutions using S3/ADLS, Delta Lake, Iceberg, and modern data warehouses like

Qualifications

• 5+ years of data engineering experience, incl. 2+ years building cloud-native solutions on AWS, Azure, or GCP.

Responsibilities

• Build scalable data pipelines for batch and streaming workloads using Spark, Databricks, Airflow, and dbt.

Skills

Data engineering

Cloud experience

Python

SQL

Distributed processing

Tools

Apache Spark

Databricks

Airflow

dbt

S3/ADLS

Delta Lake

Iceberg

Snowflake

Redshift

Job description

ELLKAY is seeking a Senior Cloud Data Engineer to design, build, and operate cloud-native data pipelines for healthcare data at scale. You’ll modernize legacy integrations into a secure, observable data platform and collaborate with architecture, governance, QA, and product teams to deliver reliable solutions.

You will implement batch and streaming pipelines, work with HL7/FHIR data formats, and build lakehouse solutions using S3/ADLS, Delta Lake, Iceberg, and modern data warehouses like