Senior Data Platform Engineer — Cloud, Big Data, AWS

Eliassen Group; Dallas (TX); Hybrid; USD 110,000 - 117,000; Full time

Benefits offered by this job

Medical, Dental, and Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking a Senior Software Engineer in Dallas to lead design, delivery, and technical strategy for scalable data platforms. You will work across the stack, mentor teammates, and set engineering standards that ensure robust execution across the full SDLC aligned to business objectives.

The role requires hands-on experience with cloud-native architectures (AWS), REST APIs, microservices, and modern data warehousing.

Qualifications

• 5 to 8 years of software engineering experience with scalable systems.
• Designing and building REST APIs, microservices, Kubernetes, and distributed systems.
• Data Warehousing, Data Lakes, Delta Lake architecture and big data patterns.
• Hands-on Python, Java, and Angular; strong OO and functional patterns.
• Experience with PySpark and Spark for distributed data processing.
• AWS services including S3, Lambda, API Gateway, EventBridge.
• CI/CD and DevOps with Jenkins, GitHub/GitLab, Bitbucket or similar.
• Testing strategies: unit, integration, and regression testing.
• Exposure to Generative AI, LLMs, RAG, and related architectures.

Responsibilities

• Deliver large-scale cloud-native data platforms on AWS with REST APIs and microservices.
• Drive performance, scalability, reliability, security, governance and cost efficiency.
• Collaborate with global engineering, product, architecture, and business stakeholders.
• Own the end-to-end SDLC from requirements through deployment and observability.

Skills

REST APIs

Distributed systems

Python

Java

Angular

PySpark

Spark

Kubernetes

AWS

CI/CD

Testing

Generative AI

Education

B.E., B.Tech, M.Tech, or MCA in CS/IT

Tools

Terraform

Ansible

Kafka

PostgreSQL

MongoDB

Azure / GCP

Job description

Eliassen Group is seeking a Senior Software Engineer in Dallas to lead design, delivery, and technical strategy for scalable data platforms. You will work across the stack, mentor teammates, and set engineering standards that ensure robust execution across the full SDLC aligned to business objectives.

The role requires hands-on experience with cloud-native architectures (AWS), REST APIs, microservices, and modern data warehousing.