Junior Data Engineer

Software Developer – Python, Cloud Infrastructure & Data Pipelines (Hybird role) Location: Chicago IL, Hybrid (3 days in office/ 2 days work from home weekly) Employment Type: Full-time About the Role We are seeking a mid-to-senior level Software Developer with a strong Python focus to join our engineering team. This role centers on building production-grade Python services, APIs, and ETL workflows that operate at scale across AWS. While the position interfaces closely with data pipelines and cloud infrastructure, the primary focus is software development: writing clean, maintainable Python code; designing APIs; and building reliable backend services that integrate with AWS-native tools. This is an excellent opportunity for a Python-first developer who enjoys cloud-native architecture, backend systems, and infrastructure-aware application design. Responsibilities · Design, build, and maintain Python applications and APIs that support ETL workflows. · Integrate deeply with AWS services such as S3, Lambda, Glue, ECS/EKS, Athena, Step Functions, DynamoDB, and API Gateway to deliver scalable, cloud-native solutions. · Write efficient, cost-aware code that optimizes performance and leverages AWS resources. · Automate/ orchestrate workflows using AWS tools (e.g., Step Functions, MWAA/Airflow) & infrastructure-as-code. · Monitor, debug, and optimize pipelines to ensure scalability and reliability across large data volumes. · Implement security best practices in AWS, including IAM policies, secrets management, and least-privilege access. · Contribute to CI/CD pipelines (e.g., GitHub Actions, CodeBuild, CodePipeline) and enforce best practices for testing and deployment. · Work closely with data engineers, analysts, and shareholders to deliver robust, cloud-native solutions. Required Qualifications · Strong proficiency in Python (3.x), with experience writing production-grade, testable, and maintainable code. · Experience building APIs or backend services using Flask, FastAPI, Django, or similar Python frameworks · Hands-on AWS experience with services like S3, Lambda, Glue, API Gateway, ECS/EKS, Step Functions, DynamoDB, and CloudWatch. · Proven ability to write efficient, scalable, and cost-conscious code in a cloud environment. · Experience with API development (REST/GraphQL) and integrating APIs with AWS services. · Experience with containerization and orchestration (Docker, Kubernetes on EKS). · Familiarity with Terraform or CloudFormation for infrastructure as code.· Solid understanding of cloud networking, IAM, and AWS security principles. · Knowledge of observability and monitoring (CloudWatch, Prometheus, Grafana, Datadog). · Familiarity with ETL design patterns, data pipelines, and orchestration tools · Working knowledge of SQL and data modeling. · Strong debugging and problem-solving skills. Nice-to-Haves · Experience with production ML workflows (KubeFlow, MLFlow) · Exposure to event-driven architectures (Kinesis, Kafka, SNS/SQS). · Experience with cost optimization strategies in AWS · Experience with connecting with several types of client CRMs such as Salesforce, StackAdapt, etc. · Experience mentoring junior engineers to provide industry best practices/habits Why Join Us? · Own mission-critical infrastructure in a cloud-first environment. · Work in a modern AWS-based ecosystem with opportunities to shape architecture and best practices. · Join a collaborative and fast-moving team where your expertise in Python and AWS will have a direct impact. · Grow your career at the intersection of software development, cloud infrastructure, and data systems. Benefits Healthcare, Dental, and Vision insurance 401K with company match unlimited PTO paid holidays