Title: Data Platform Engineer – Lead
Location: MN Preffered
Send resumes to: [email protected]
More roles: www.irow9.com/careers
NOTE: GC/USC ONLY
Summary:
Lead the design, development, and maintenance of enterprise data platforms. Build and optimize data pipelines, lakes, warehouses, and streaming architectures. Enable teams to deliver high-quality data products that drive business insights. Provide technical leadership and mentorship to engineers.
Responsibilities:
- Design and implement platform tooling, services, and integrations.
- Build data lake, lakehouse, and streaming architectures.
- Collaborate with software teams to integrate batch and stream pipelines.
- Work with data scientists, analysts, and stakeholders to deliver MVP solutions.
- Ensure data governance, security, and quality standards.
- Maintain observability and transparency of critical data systems.
- Review code and architectural designs and promote best practices.
- Mentor and guide junior engineers, fostering professional growth.
- Optimize data workflows for performance and efficiency.
- Diagnose and resolve data-related incidents.
- Participate in story grooming, design discussions, and DevOps integration.
Required Skills:
- 7+ years of experience in data engineering or related roles.
- Proficiency in Python, Scala, or Java and functional/object-oriented design patterns.
- Experience with Apache Spark, data lakes/lakehouses, OLTP, document/graph stores.
- Knowledge of ELT/ETL patterns in distributed systems (preferably Databricks).
- Familiarity with data quality and observability tooling.
- Understanding SDLC, unit/integration testing, debugging, CICD pipelines.
- Experience with REST/GRPC services, message buses, and streaming architectures.
Preferred Skills:
- Master's degree in computer science or related field.
- Healthcare industry knowledge.
(we will consider candidates from any of the states listed below):
Arizona, California, Colorado, Connecticut, Florida, Georgia, Idaho, Illinois, Indiana, Massachusetts, Michigan, Minnesota, Missouri, North Carolina, New Jersey, New York, Ohio, Pennsylvania, South Carolina, Texas, Virginia, Wisconsin
