Python Data Engineer
Responsibilities
- In this role, you'll design and build scalable, cloud-native data pipelines and APIs using Python and AWS
- You'll work closely with data engineers, analysts, and developers to deliver high-quality data solutions that power analytics, reporting, and business intelligence across the organization
- Design, develop, and maintain scalable data pipelines using Python and AWS services
- Build and optimize ETL/ELT workflows with AWS Glue, Lambda, and S3
- Develop APIs in Python to enable seamless data access for analytics and operational systems
- Monitor and troubleshoot data workflows to ensure accuracy, reliability, and performance
- Collaborate with cross-functional teams to implement reusable data models and architecture
- Apply best practices for serverless computing, cost optimization, and performance tuning
- Document data flows, architecture diagrams, and engineering processes
- Implement data governance, security, and compliance standards
- Integrate third-party APIs and external data sources
- Contribute to CI/CD pipelines and Infrastructure as Code (IaC) initiatives
- Stay current with AWS innovations and modern data engineering practices
Skills
- 5+ years of experience in data engineering or backend development roles
- 3+ years of hands-on experience with Python for data engineering
- Strong SQL skills and experience with relational and NoSQL databases
- Proficiency with AWS services: Lambda, Glue, S3, Athena, Redshift, DynamoDB, and Snowflake
- Solid understanding of data modeling (OLTP, ODS, dimensional modeling)
- Experience designing and integrating APIs using Python
- Familiarity with serverless architecture and event-driven design
- Strong problem-solving and communication skills
- Experience working in agile environments with CI/CD workflows
Benefits
- 💰 Salary: $120,000-$140,000
- Associates at Corporate are offered many fantastic benefits
- Medical
- Dental
- Vision
- Life Insurance/ AD
- Disability Insurance
- Retirement Plan
- Paid Time Off
- Holiday Time Off (varies by site/state)
- Associate Shopping Program
- Health and Wellness Programs
- Discount Marketplace
- Identity Theft Protection
- Pet Insurance
- Commuter Benefits
- Employee Assistance Program
- Flexible Spending Accounts (FSAs)
- Paid Parental Leave
- Personal Leave
- Associates may also be eligible for paid and/or unpaid time off benefits in accordance with applicable federal, state, and local laws
Company
Lensa
Location
Chicago, IL
Remote
No
Salary
$120,000 - $140,000 yearly
Category ID
1946
Term ID
1658
Plan ID
1109
Company Website
Application Type
url
Application URL
https://www.linkedin.com/jobs/view/python-data-engineer-remote-at-lensa-4277791872
Published 13 days ago • Expires September 05, 2025 06:02