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AWS Databricks Data Engineer with Healthcare Exp. : Remote

Remote • Posted 3 hours ago • Updated 3 hours ago

Contract W2

Contract Corp To Corp

Contract Independent

12 Months

No Travel Required

Remote

Depends on Experience

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

Access Control
Amazon S3
Amazon Web Services
Analytics
Apache Spark
Cloud Computing
Collaboration
Continuous Delivery
Continuous Integration
Data Engineering
Data Governance
Data Quality
Data Storage
Databricks
GitHub
GitLab
Health Care
MMIS
Machine Learning (ML)
Management
PySpark
Python
SQL
Streaming
Testing
Unity
Workflow

Summary

AWS Databricks Data Engineer

Remote

We are seeking an experienced AWS Databricks Data Engineer to design, build, and maintain scalable data pipelines and cloudnative data infrastructure. The ideal candidate will have strong expertise in Apache Spark, PySpark, Python, SQL, Delta Lake, and AWS services, with proven experience in production Databricks environments.

<>Key Responsibilities

Design and implement batch and streaming data pipelines using PySpark, Delta Lake, and Delta Live Tables (DLT).
Develop scalable ingestion and transformation solutions within Databricks.
Build integrations with AWS services such as S3, IAM, and Lambda.
Configure and manage data governance, security, and access controls via Databricks Unity Catalog.
Monitor and optimize pipeline performance, reliability, and data quality.
Automate testing and deployment using CI/CD tools (GitHub/GitLab).
Collaborate with data scientists and stakeholders to prepare datasets for analytics and machine learning.
Support healthcare payer datasets including claims, provider, member enrollment, and MMIS data.

<>Required Skills & Experience

3 5 years of handson data engineering experience.
Strong productionlevel experience with Databricks.
Advanced programming skills in Python and PySpark.
Advanced SQL expertise.
Deep understanding of Apache Spark, Delta Lake, and Data Lakehouse architecture.
Experience with Delta Live Tables, Unity Catalog, and Databricks Workflows.
Familiarity with AWS cloud services for data storage and management.

<>Work Hours

Must be available to work in the CST time zone.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10339744
Position Id: 9065100
Posted 3 hours ago

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