Senior Developer — Python, AWS Glue, API Gateway, DevOps

Job Title: Senior Developer - Python, AWS Glue, API Gateway, DevOps

Location: Frisco, TX (Permanent remote work accepted from anywhere in US)

Duration: 3 months contract with possible extension

Summary

Senior Developer with strong hands-on experience in Python, AWS Glue, and AWS API Gateway who can write, deploy, and operate production-grade code. The role requires solid DevOps knowledge and the ability to read and interpret SnapLogic pipelines to understand ETL logic and data flows. This position works closely with data engineers, platform engineers, and product teams to deliver reliable, automated data integrations and services.

Key responsibilities

- Design, build, test, and deploy backend services and ETL solutions using Python and AWS services.

- Implement and maintain AWS Glue jobs (PySpark/Python) for scalable ETL, including job orchestration, error handling, and performance tuning.- Design and implement RESTful APIs using AWS API Gateway and Lambda/containers, including security, throttling, and monitoring.

- Develop, maintain, and improve CI/CD pipelines and infrastructure-as-code (IaC) for application and data platform deployments.

- Collaborate with platform and operations teams to automate build, test, deployment, and rollback procedures.

- Troubleshoot production incidents, runbooks, and post-incident analysis to improve reliability.

- Review code, mentor junior engineers, and enforce coding and architectural best practices.

- Read, interpret, and validate SnapLogic pipelines to understand ETL logic and translate pipeline behavior into equivalent implementation, troubleshooting, or documentation.

- Partner with data owners to validate data transformations, lineage, and quality checks.

- Contribute to technical design documents, runbooks, and operational guides.

Required technical skills

- Strong programming skills in Python, with experience writing clean, testable, and maintainable code.

- Hands-on experience building and maintaining AWS Glue jobs (PySpark or Python shell), including job configuration, partitioning, and performance optimization.- Practical experience with AWS API Gateway and serverless or container-based backends (Lambda, ECS, EKS, or equivalent).

- Good DevOps skills: CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins), IaC (CloudFormation, Terraform), automated testing, and deployment automation.

- Familiarity with AWS core services: S3, IAM, CloudWatch, SNS/SQS, KMS, and VPC fundamentals.

- Basic familiarity with SnapLogic: ability to read SnapLogic pipelines, understand common snaps (file, database, transformation, mapper), and map ETL logic to AWS-based implementations.

- Experience deploying code to production, including versioning, release coordination, and rollback strategies.

- Strong debugging and troubleshooting skills across code, jobs, and cloud infrastructure.

Preferred qualifications

- 5+ years software engineering or data engineering experience, with demonstrable projects using Python and AWS data services.

- 5+ Experience with PySpark or Spark-based ETL frameworks.- Minimum 4+ years of Prior work experience with SnapLogic or other iPaaS/ETL platforms (Informatica, Talend, Mulesoft).

- 3+ Experience with observability tools and practices (CloudWatch metrics & logs, structured logging, distributed tracing).

- Familiarity with containerization (Docker) and orchestration (Kubernetes).

- Experience with security best practices for data and APIs (authentication, authorization, encryption).

Behavioral and communication skills

- Strong ownership and bias for operational reliability.

- Clear communicator able to explain technical designs and ETL logic to technical and non-technical stakeholders.

Comfortable working in agile teams and collaborating across disciplines.

Feel free to reach me at [email protected]