Senior Software Engineer – Cloud Data Platform (Hybrid)

Eliassen Group; Chicago (IL); Hybrid; Confidential; Full time

Job summary

Eliassen Group seeks a Senior Software Engineer for the CDP team to shape design, delivery, and technical strategy of cloud-native data platforms in Chicago. You will mentor engineers and ensure scalable, secure platforms across Java, Python, Spark, TypeScript, and AWS.

This role requires delivery of performant systems with strong data engineering focus. You will collaborate across engineering and product stakeholders, owning the SDLC, governance, and observability while enhancing data pipelines

Qualifications

• 5–8 years of software engineering with scalable UX-driven apps and distributed systems.
• REST APIs, microservices, Kubernetes, and distributed systems experience.
• Data warehousing/big data ecosystems (Delta Lake, Data Lakes).
• Python/Java/Angular with strong OOP and functional programming skills.

Responsibilities

• Deliver large-scale cloud-native data platforms on AWS using microservices and REST APIs.
• Work across tech stack: Java, Python, Spark, TypeScript, JavaScript, Angular, AWS; SQL/NoSQL databases.
• Drive performance, scalability, reliability, security, governance, and cost optimization.
• Collaborate with global teams to align solutions with strategic objectives.
• Own end-to-end SDLC including design, deployment, observability, and documentation.

Skills

Analytical thinking

Strong OOP & FP

Cloud-native experience

Cross-functional collaboration

Education

B.E./B.Tech/M.Tech/MCA in CS/IT or related field

Tools

Kubernetes

Terraform

Ansible

Jenkins

GitHub/GitLab CI

Job description

Eliassen Group seeks a Senior Software Engineer for the CDP team to shape design, delivery, and technical strategy of cloud-native data platforms in Chicago. You will mentor engineers and ensure scalable, secure platforms across Java, Python, Spark, TypeScript, and AWS.

This role requires delivery of performant systems with strong data engineering focus. You will collaborate across engineering and product stakeholders, owning the SDLC, governance, and observability while enhancing data pipelines