Senior AWS Data Engineer: Data Lakes, Pipelines & ETL

Machine Learning Technologies, LLC; Aurora (CO); On-site; USD 120,000 - 160,000; Full time

Job summary

Machine Learning Technologies, LLC in Colorado is seeking an experienced AWS Data Engineer to design, build, and maintain scalable data pipelines and architectures in the AWS cloud.

The ideal candidate has 8+ years of hands-on experience with Python, SQL, and AWS services (Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, SQS) and collaborates with data scientists and analysts to deliver robust data solutions.

Qualifications

• 8+ years building data lakes, data warehouses, and data applications on AWS for large enterprises.
• Strong Python, Shell scripting, and SQL programming.
• Experience with AWS services and serverless data pipelines.
• Bachelor’s degree in CS/eng or equivalent.

Responsibilities

• Design, build, and maintain data pipelines and architectures on AWS.
• Develop ETL/ELT processes with data quality and security.
• Migrate data to AWS data lakes and warehouses (S3, Redshift).
• Collaborate with data scientists, analysts, and stakeholders.
• Implement CI/CD for enterprise data platforms.

Skills

Python

Shell scripting

SQL

Problem-solving

Attention to detail

Communication

Teamwork

Education

Bachelor’s degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience

Tools

AWS CloudFormation

S3

Athena

Glue

EMR/Spark

RDS

Redshift

DynamoDB

Lambda

Step Functions

IAM

KMS

Secrets Manager

Kinesis

SQS

Kafka

Job description

Machine Learning Technologies, LLC in Colorado is seeking an experienced AWS Data Engineer to design, build, and maintain scalable data pipelines and architectures in the AWS cloud.

The ideal candidate has 8+ years of hands-on experience with Python, SQL, and AWS services (Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, SQS) and collaborates with data scientists and analysts to deliver robust data solutions.