Description
Hybrid At least 2 days per week in office in Chicago, IL
Our client seeks a Senior Software Engineer for the CDP team to drive design, delivery, technical strategy, and execution for cloud‑native data platforms. You will define engineering standards, mentor engineers, and ensure the platform scales securely and reliably. You will work across Java, Python, Spark, TypeScript, JavaScript, Angular, AWS services, event-driven architectures, and SQL/NoSQL databases to deliver performant, resilient solutions aligned with business objectives.
We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $65.00 to $75.00/hr. w2
Responsibilities
- Deliver large-scale cloud-native data platforms on AWS leveraging REST APIs, microservices, and event-driven applications to build scalable and resilient systems.
- Work hands‑on across the stack including Java, Python, Spark, TypeScript, JavaScript, Angular, AWS services, event-driven architectures, and SQL/NoSQL databases.
- Drive optimization for performance, scalability, reliability, security, governance, and cost efficiency.
- Collaborate with global engineering, product management, architecture, and business stakeholders to align solutions with strategic objectives.
- Own the end‑to‑end SDLC including requirements, design, development, deployment, observability, and documentation.
Experience Requirements
- 5-8 years of software engineering with expertise in scalable UX-driven applications and distributed systems.
- Proven design and build experience with REST APIs, microservices, Kubernetes, and distributed systems.
- Experience in Data Warehousing, Data Lakes, Delta Lake, and modern big data ecosystems.
- Hands‑on in Python, Java, Angular with strong OOP and functional programming skills.
- Experience with PySpark and Apache Spark for high-performance distributed data processing.
- Depth in microservices with Kubernetes for eventing and serving.
- Experience with AWS services such as S3, Lambda, API Gateway, and EventBridge.
- Strong experience with Kafka, SNS, SQS, and databases including PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, and Redis.
- Hands‑on with IaC tools such as Terraform and Ansible.
- Understanding of CI/CD and DevOps using Jenkins, GitHub/GitLab, Bitbucket, GoCD, and automated pipelines.
- Experience implementing unit, integration, and regression testing with best practices.
- Strong analytical skills to diagnose and solve complex technical problems.
- Exposure to Generative AI technologies including LLMs, RAG, and agentic systems.
- Nice to have: PySpark with Databricks, Azure and/or GCP experience, and data platforms in privacy-safe CDP or MarTech environments.
Education Requirements
- B.E./B.Tech/M.Tech/MCA in Computer Science, Information Technology, or a related field.