AWS Data Engineering

Quantum Technologies. LLC; Chicago (IL); On-site; USD 110,000 - 170,000; Full time

Job summary

Quantum Technologies. LLC in Chicago seeks a Senior ETL Developer with hands-on AWS, Python, PySpark and SQL to design and maintain enterprise data pipelines.

You will build scalable ETL workflows, optimize performance across Redshift, S3, Lambda and Step Functions, collaborate with architects and stakeholders, and ensure robust data solutions. Strong troubleshooting and production-support skills are required.

Qualifications

• 6+ years of ETL development and data integration experience.
• 6+ years writing and optimizing complex SQL queries.
• 3–4 years Python / PySpark with large-scale datasets.
• 3–4 years AWS Cloud experience including Glue, S3, Redshift, Lambda, and more.
• 3+ years Big Data processing and scalable data architectures.
• Hands-on DevOps / CI/CD with Harness, YAML, and CloudFormation.
• Strong database troubleshooting and production support.

Responsibilities

• Design and optimize enterprise-scale ETL pipelines.
• Build scalable data pipelines using AWS Glue, Python, PySpark, SQL.
• Develop complex SQL queries and data transformation workflows.
• Collaborate with architects, developers, and stakeholders.
• Provide production support and root cause analysis.
• Maintain coding standards and technical documentation.
• Perform data cleansing, profiling, and workflow scheduling.
• Troubleshoot ETL failures and performance issues.

Skills

ETL development

SQL

Python

PySpark

AWS Cloud

DevOps

CI/CD

Data modeling

Tools

AWS Glue

S3

Redshift

Lambda

Step Functions

RDS Aurora/MySQL

CloudWatch

SNS

SQS

EventBridge

Harness

YAML

AWS CloudFormation

Apache Iceberg

Dynatrace

Datadog

Job description

We are seeking an experienced Senior ETL Developer with strong hands-on expertise in AWS cloud services, Python, PySpark, SQL, and large-scale enterprise data processing.

The ideal candidate will be responsible for designing, developing, optimizing, and maintaining scalable ETL pipelines and data analytics solutions within the AWS ecosystem.

Key Responsibilities:

Design, develop, implement, and optimize enterprise-scale ETL pipelines and backend data processing solutions.

Build and maintain scalable data pipelines using AWS Glue, Python, PySpark, and SQL.

Develop complex SQL queries, stored procedures, and data transformation workflows.

Work with AWS services including S3, Redshift, Lambda, Step Functions, RDS, CloudWatch, SNS, SQS, and EventBridge.

Perform data cleansing, profiling, transformation, and workflow scheduling.

Troubleshoot ETL failures, database performance issues, and production incidents.

Implement CI/CD pipelines and Infrastructure as Code using Harness, YAML, and AWS CloudFormation.

Collaborate with architects, developers, and business stakeholders to deliver enterprise data solutions.

Perform root cause analysis and provide production support for critical ETL processes.

Maintain coding standards, technical documentation, and ETL development best practices.

Mandatory Technical Skills:

ETL Development: 6+ years of experience in ETL development, data integration, transformation, and scheduling.

SQL: 6+ years of strong experience writing and optimizing complex SQL queries.

Python / PySpark: 3–4 years of hands-on programming experience with large-scale datasets.

AWS Cloud: 3–4 years of experience with AWS Glue, S3, Redshift, Lambda, Step Functions, RDS Aurora/MySQL, CloudWatch, SNS, SQS, and EventBridge.

Big Data: 3+ years of experience in Big Data processing, data modeling, and scalable data architectures.

DevOps / CI/CD: Hands-on experience with Harness, YAML, and AWS CloudFormation.

Database Troubleshooting: Strong understanding of RDS MySQL, database performance tuning, and production support.

Preferred Skills:

Experience leading ETL or Data Engineering teams.

Hands-on experience with Apache Iceberg.

Experience with Dynatrace or Datadog.

Strong analytical, troubleshooting, and communication skills.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.