Remote AWS Data Engineer — Real-Time ETL & Lakehouse

Unisys; Seattle (WA); On-site; USD 100,000 - 130,000; Full time

Job summary

Unisys is seeking an AWS Data Engineer to design, build, and optimize data pipelines on AWS. This remote role involves managing the end-to-end data lifecycle, ensuring high-quality and accessible data for analytics. Candidates should have a Bachelor's degree in Data Engineering or a related field, along with over 5 years of experience. Proficiency in SQL and Python for data processing is required. The position offers an opportunity to work with data extracted from various sources and collaborate with Data Scientists and analysts.

Qualifications

• 5+ years of experience in data engineering roles.
• Proficiency in SQL, Python, or Scala for data transformation and processing.
• Experience in the utility industry data including meter data, customer data, grid/asset data.

Responsibilities

• Design, build, and optimize ETL/ELT workflows to ingest data from multiple sources.
• Automate batch and streaming data pipelines for real-time analytics.
• Ensure pipelines are optimized for scalability, performance, and fault tolerance.

Skills

SQL

Python

Data Transformation

Data Engineering

AWS

Real-time Analytics

Education

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

Tools

Databricks

Terraform

AWS Services (S3, Redshift, EMR)

Job description

Unisys is seeking an AWS Data Engineer to design, build, and optimize data pipelines on AWS. This remote role involves managing the end-to-end data lifecycle, ensuring high-quality and accessible data for analytics. Candidates should have a Bachelor's degree in Data Engineering or a related field, along with over 5 years of experience. Proficiency in SQL and Python for data processing is required. The position offers an opportunity to work with data extracted from various sources and collaborate with Data Scientists and analysts.