5 days ago
Columbus, GA, USAMid Level
H1B sponsor
Base Salary
$100k - $115k/yr
Responsibilities
- Design, develop, and support scalable data pipelines, data integrations, and data-processing solutions using cloud-native technologies.
- Build production-grade Python applications, scripts, and AWS Lambda functions integrated with enterprise platforms, APIs, and AWS services.
- Develop and enhance data platforms using AWS Glue, AWS DMS, Apache Kafka, Apache Airflow, and Snowflake.
- Translate business and technical requirements into engineering specifications, technical designs, and measurable acceptance criteria.
- Review, validate, test, debug, and optimize AI-generated code before production deployment.
- Develop agentic workflows, MCP integrations, and AI-assisted engineering practices when applicable.
Requirements
- Strong hands-on Python development experience delivering production-quality code.
- Proven data engineering experience building, deploying, and supporting scalable data pipelines and processing solutions.
- Hands-on expertise with AWS services and cloud-native data engineering architectures.
- Experience with one or more of AWS Glue, AWS DMS, Apache Kafka, Apache Airflow, or Snowflake.
- Experience using AI-assisted development tools such as Claude Code, Kiro, or similar technologies.
- Experience converting business requirements into technical specifications, solution designs, and acceptance criteria.
- Experience reviewing, testing, debugging, and optimizing AI-generated code before production deployment.
- Hands-on experience developing Python-based AWS Lambda functions and integrating them with AWS services.
- Preferred experience with Kiro, Claude Code, Model Context Protocol, automated testing frameworks, deployment automation, code-quality controls, and agentic AI engineering concepts.
- AWS certifications such as AWS Certified Data Engineer, AWS Certified Developer, or AWS Certified Solutions Architect are preferred.
- Working knowledge of TypeScript and experience with agent development frameworks such as Strands Agents SDK are preferred.
Benefits
- Remote position open to qualified applicants, subject to project and business requirements.
- Medical, dental, vision, and life insurance.
- Paid holidays and paid time off.
- 401(k) plan and contributions.
- Long-term and short-term disability coverage.
- Paid parental leave.
- Employee Stock Purchase Plan.
- Eligible for Cognizant’s discretionary annual incentive program based on performance and applicable plan terms.
Tech Stack
Categories
Data Engineering
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.