AWS Data Engineer

Gov Services Hub; Phoenix, Northern (AZ, KY); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Gov Services Hub in Phoenix, United States is seeking a data engineer to design and implement data pipelines using Python and modern tooling. You will work with ELK stack, NiFi, Airflow, and cloud services to ensure reliable data flows for analytics and operations.

The role requires hands-on experience with Kubernetes and Docker, SQL databases, and CI/CD practices. You will contribute to scalable data infrastructure and help optimize data processing at scale.

Qualifications

• 2+ years of Python and Python frameworks (Django, FastAPI).
• Hands-on ELK stack experience; building Logstash pipelines for high-volume data.
• Proficiency with data flow tools: NiFi, Airflow, AWS Glue, Azure Data Factory.
• Experience with RDBMS (SQL Server, PostgreSQL).
• Basic knowledge of Linux.
• Experience with Kubernetes and Docker.
• Experience building data pipelines with Google Cloud services.
• CI/CD tools knowledge.
• Analytical thinking, critical thinking, self-motivation, and proactivity.

Skills

Python

Django

FastAPI

Analytical thinking

Critical thinking

Self-motivated

Proactive

CI/CD

Tools

Kubernetes

Docker

Logstash

Apache NiFi

Apache Airflow

AWS Glue

Azure Data Factory

PostgreSQL

Microsoft SQL Server

Google Cloud

Job description

Phoenix, United States | Posted on 10/02/2025

• At least 2+ years of experience in Pythonand Python Frameworks e.g. Django, FastAPI etc.

Requirements

• Hands-on experience on ELK stack withexperience in building logstash pipeline for a high-volume data flow.
• Proficiency with data flow solutions likeApache Nifi, Apache Airflow, AWS Glue, Azure Data Factory or similar tools.
• Experience with relational databasemanagement systems such as Microsoft SQL Server, Postgres.
• Basic knowledge of Linux based systems
• Good experience of working on Kubernetes,Docker and containerized platform.
• Experience in building data pipeline usingGoogle Cloud native services.
• Knowledge on usage of CICD tools.
• Soft Skills - analytical attitude, critical thinking, self-driving, proactive