Data Engineer -Software Developer II

Software Developer II – Python, Cloud Infrastructure & Data Pipelines <\/span>
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Location: Chicago IL, Hybrid <\/span>
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Employment Type: Full\-time <\/span>
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About the Role <\/span>
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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. <\/span>
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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. <\/span> This is an excellent opportunity for a Python\-first developer who enjoys cloud\-native architecture, backend systems, and infrastructure\-aware application design. <\/span>
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Responsibilities <\/span>
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·<\/span> <\/span> <\/span><\/span> Design, build, and maintain Python applications and APIs that support ETL workflows. <\/span>
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·<\/span> <\/span> <\/span><\/span> 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. <\/span>
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·<\/span> <\/span> <\/span><\/span> Write efficient, cost\-aware code that optimizes performance and leverages AWS resources responsibly. <\/span>
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·<\/span> <\/span> <\/span><\/span> Automate and orchestrate workflows using AWS tools (e.g., Step Functions, MWAA\/Airflow) and infrastructure\-as\-code. <\/span>
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·<\/span> <\/span> <\/span><\/span> Monitor, debug, and optimize pipelines to ensure scalability and reliability across large data volumes. <\/span>
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·<\/span> <\/span> <\/span><\/span> Implement security best practices in AWS, including IAM policies, secrets management, and least\-privilege access. <\/span>
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·<\/span> <\/span> <\/span><\/span> Contribute to CI\/CD pipelines (e.g., GitHub Actions, CodeBuild, CodePipeline) and enforce best practices for testing and deployment. <\/span>
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·<\/span> <\/span> <\/span><\/span> Work closely with data engineers, analysts, and shareholders to deliver robust, cloud\-native solutions. <\/span>
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Required Qualifications <\/span>
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·<\/span> <\/span> <\/span><\/span> Strong proficiency in Python (3.x), with experience writing production\-grade, testable, and maintainable code. <\/span>
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·<\/span> <\/span> <\/span><\/span> Experience building APIs or backend services using Flask, FastAPI, Django, or similar Python frameworks <\/span>
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·<\/span> <\/span> <\/span><\/span> Hands\-on AWS experience with services like S3, Lambda, Glue, API Gateway, ECS\/EKS, Step Functions, DynamoDB, and CloudWatch. <\/span>
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·<\/span> <\/span> <\/span><\/span> Proven ability to write efficient, scalable, and cost\-conscious code in a cloud environment. <\/span>
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·<\/span> <\/span> <\/span><\/span> Experience with API development (REST\/GraphQL) and integrating APIs with AWS services. <\/span>
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·<\/span> <\/span> <\/span><\/span> Experience with containerization and orchestration (Docker, Kubernetes on EKS). <\/span>
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·<\/span> <\/span> <\/span><\/span> Familiarity with Terraform or CloudFormation for infrastructure as code. <\/span>
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·<\/span> <\/span> <\/span><\/span> Solid understanding of cloud networking, IAM, and security principles within AWS. <\/span>
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·<\/span> <\/span> <\/span><\/span> Knowledge of observability and monitoring (CloudWatch, Prometheus, Grafana, Datadog). <\/span>
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·<\/span> <\/span> <\/span><\/span> Familiarity with ETL design patterns, data pipelines, and orchestration tools (Airflow, Prefect, Dagster, or AWS\-native). <\/span>
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·<\/span> <\/span> <\/span><\/span> Working knowledge of SQL and data modeling. <\/span>
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·<\/span> <\/span> <\/span><\/span> Strong debugging and problem\-solving skills. <\/span>
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Nice\-to\-Haves <\/span>
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·<\/span> <\/span> <\/span><\/span> Experience with production ML workflows (KubeFlow, MLFlow)<\/span>
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·<\/span> <\/span> <\/span><\/span> Exposure to event\-driven architectures (Kinesis, Kafka, SNS\/SQS). <\/span>
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· <\/span> <\/span> Experience with cost optimization strategies in AWS (e.g., reserved\/spot instances, right\-sizing resources). <\/span>
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· <\/span> <\/span> Experience with connecting with several types of client CRMs such as Salesforce, StackAdapt, Thoughtspot <\/span>
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· <\/span> <\/span> Experience mentoring junior engineers to provide industry best practices\/habits <\/span>
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Why Join Us?<\/span>
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· <\/span> <\/span> Own mission\-critical infrastructure in a cloud\-first environment. <\/span>
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· <\/span> <\/span> Work in a modern AWS\-based ecosystem with opportunities to shape architecture and best practices. <\/span>
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· <\/span> <\/span> Join a collaborative and fast\-moving team where your expertise in Python and AWS will have a direct impact. <\/span>
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· <\/span> <\/span> Grow your career at the intersection of software development, cloud infrastructure, and data systems. <\/span>
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All applicants must be authorized to work in the United States for any employer, without the need for sponsorship now or in the future. <\/i>

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