Sr Data Engg Lead dev with Strong Databricks and Pyrhon experience 100 remote

Location : 100% Remote

Type : Contract

Industry : Healthcare

Client is transitioning from SAS to Databricks to power next-generation actuarial analysis underwriting and risk modeling.

Were seeking a Data Engineer to lead this transformation-

refactoring legacy SAS pipelines modernizing data architecture and building scalable solutions on Databricks and Azure.

What Youll Do

Migrate and refactor SAS-based actuarial and underwriting models to Databricks

Design and implement scalable data pipelines using Azure Data Factory Synapse and Spark

Collaborate with actuarial teams business stakeholders and engineering peers

Optimize performance reliability and agility of data workflows

Contribute to real-time analytics and AI-driven innovation across health plan operations

Required Qualifications

Bachelors or Masters in Computer Science Statistics Applied Math or related field

5 years of programming experience (SQL and Python required; Java R or Spark a plus)

4 years working with Databricks or similar cloud-native platforms

Hands-on experience with SAS-to-Databricks migration projects

Strong SQL skills and experience with Oracle PostgreSQL MySQL or SQL Server

Experience with Git and collaborative development practices

Proven ability to work cross-functionally and communicate with technical and business teams

Expertise in data management software engineering and infrastructure operations

Preferred Skills

Healthcare domain knowledge

Agile / Scrum experience

Azure ecosystem : Data Factory Synapse Purview Cosmos App Insights Power BI

Python libraries : NumPy pandas matplotlib; Jupyter notebooks

CI / CD ML Ops and DataOps practices

Event streaming tools : Kafka NiFi Flink

Big Data tools : Spark Hive Sqoop

NoSQL experience (MongoDB)

Advanced Power BI modeling (Power Query DAX)

Key Skills

Administrative Skills,Facilities Management,Biotechnology,Creative Production,Design And Estimation,Architecture

Employment Type : Full Time

Experience : years

Vacancy : 1