Senior Data Engineer / Cloud Solutions Developer

Compunnel, Inc.; Costa Mesa (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A technology consulting firm based in California is seeking a Senior Data Engineer / Cloud Solutions Developer. This role requires expertise in AWS Cloud Services and Big Data technologies to design and optimize scalable data solutions. The ideal candidate will develop data pipelines using PySpark and build secure RESTful APIs. A degree in Computer Science or a related field is preferred. Join a dynamic team focused on advancing analytics and machine learning projects.

Qualifications

• Strong hands-on experience with AWS Cloud Services (EMR, SageMaker, DynamoDB, ElasticSearch, ECS Fargate, RDS).
• Proficiency in Big Data programming using PySpark.
• Solid experience in API development with Python frameworks (Flask/Django/FastAPI).

Responsibilities

• Design and implement solutions using AWS services.
• Develop and optimize data pipelines using PySpark.
• Build and maintain RESTful APIs using Python frameworks.

Skills

AWS Cloud Services

Big Data programming in PySpark

API development (Flask/Django/FastAPI)

DevOps practices

Problem-solving skills

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

Jenkins

Docker

Kubernetes

Job description

Senior Data Engineer / Cloud Solutions Developer

12/18/2025

Contract

Active

Job Description:

Job Summary

We are seeking a highly skilled Data Engineer with expertise in AWS Cloud Services, Big Data technologies, and API development.

The ideal candidate will design, develop, and optimize scalable data solutions, leveraging modern cloud and DevOps practices to support advanced analytics and machine learning workloads.

Key Responsibilities

• Design and implement solutions using AWS services such as EMR, SageMaker, DynamoDB, ElasticSearch, ECS Fargate, and RDS.
• Ensure high availability, scalability, and security of cloud-based applications.
• Develop and optimize data pipelines using PySpark for large-scale data processing.
• Integrate data from multiple sources for analytics and machine learning use cases.

API Development

• Build and maintain RESTful APIs using Python frameworks such as Flask, Django, or FastAPI.
• Ensure APIs are secure, performant, and well-documented.

DevOps & Automation

• Implement CI/CD pipelines using Jenkins for automated deployments.
• Collaborate with operations teams to streamline release processes and improve system reliability.

Required Qualifications

• Strong hands-on experience with AWS Cloud Services (EMR, SageMaker, DynamoDB, ElasticSearch, ECS Fargate, RDS).
• Proficiency in Big Data programming using PySpark.
• Solid experience in API development with Python frameworks (Flask/Django/FastAPI).
• Knowledge of DevOps practices and Jenkins automation for CI/CD.
• Familiarity with containerization (Docker) and orchestration (Kubernetes/ECS) is a plus.
• Excellent problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Experience with machine learning workflows and data science tools.
• Understanding of security best practices in cloud environments.