AWS Data Engineering

Ethereum Technologies; Chicago (IL); On-site; USD 120,000 - 160,000; Full time

Job summary

Ethereum Technologies in Chicago, IL seeks a Senior ETL Developer to design, build, and optimize large-scale data pipelines within the AWS ecosystem, using Python, PySpark and SQL for enterprise analytics.

You will implement CI/CD with Harness and AWS CloudFormation, ensure data quality, troubleshoot production ETL, and collaborate with architects, developers, and stakeholders to deliver reliable data solutions.

Qualifications

• 6+ years of ETL development experience.
• 6+ years of SQL experience, including complex queries.
• 3–4 years hands-on Python/PySpark with large-scale datasets.
• 3–4 years AWS Cloud experience (Glue, S3, Redshift, Lambda, Step Functions, RDS Aurora/MySQL).
• 3+ years Big Data processing, data modeling, scalable architectures.
• Hands-on DevOps / CI/CD with Harness, YAML, and AWS CloudFormation.
• Strong database troubleshooting and production support skills.

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.

Skills

ETL Development

SQL

Python/PySpark

AWS Cloud

Big Data

DevOps / CI/CD

Database Troubleshooting

Tools

AWS Glue

S3

Redshift

Lambda

Step Functions

RDS Aurora/MySQL

CloudWatch

SNS

SQS

EventBridge

Harness

AWS CloudFormation

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

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.