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