About
Design, build, and maintain scalable data pipelines for ingesting, cleaning, and transforming provider data.
Develop and optimize workflows in
Databricks
for large-scale data processing.
Implement and manage data storage solutions using the
Microsoft Azure
suite, including
Azure Data Lake ,
Blob Storage , and
Azure SQL .
Collaborate with API developers and data consumers to ensure seamless
API
data consumption.
Work closely with data scientists, analysts, and product owners to ensure data quality, consistency, and availability.
Contribute to the evolution of our data lake and warehouse architecture to support current and future analytics needs.
Required Qualifications
Hands‑on experience with
Databricks
and
Apache Spark .
Proficient in SQL, Python, PySpark, Git
Strong proficiency with
Microsoft Azure
cloud services, especially in data storage and compute.
Proven experience with
data lakes
and/or
data warehouses .
Solid understanding of
REST APIs
and experience consuming them in data workflows.
Experience with
data ingestion ,
ETL/ELT pipelines , and
data cleaning
techniques.
Preferred Qualifications
Hands‑On Experience with
PowerBI
Experience building or maintaining
GraphQL APIs .
Experience designing and developing
REST APIs .
Familiarity with
AI/ML integration
in data pipelines or analytics workflows.
Knowledge of healthcare data standards and provider data models is a plus.
The projected hourly range for this position is $65 to $85.
On-Demand Group (ODG) provides employee benefits which includes healthcare, dental, and vision insurance. ODG is an equal opportunity employer that does not discriminate on the basis of race, color, religion, gender, sexual orientation, age, national origin, disability, or any other characteristic protected by law.
#J-18808-Ljbffr
Languages
- English
Notice for Users
This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.