AWS Data Engineer

  • Posted 13 hours ago | Updated 13 hours ago

Overview

Remote
Depends on Experience
Full Time

Skills

Data Engineer with hands-on AWS expertise
AWS Redshift and AWS Glue
SQL and Python
streaming data
AWS EMR optional
Snowflake

Job Details

Job Title: AWS Data Engineer
Location: Remote
Job Type: Full-time
Job Description:
We are seeking a skilled AWS Data Engineer to design, build, and maintain scalable, high-performance data pipelines and solutions. The ideal candidate will have strong expertise in AWS services, advanced SQL, and Python, with hands-on experience in data integration, transformation, and analytics.
Key Responsibilities:
  • Design, develop, and maintain robust ETL/ELT data pipelines using AWS services such as Redshift, Glue, and EMR (optional).
  • Work with streaming data platforms to ingest, process, and store real-time data efficiently.
  • Write and optimize complex SQL queries for data transformation, analytics, and reporting.
  • Develop scalable Python-based solutions for data ingestion, cleansing, and processing.
  • Collaborate with data analysts, scientists, and business teams to ensure data quality, integrity, and accessibility.
  • Implement data modeling best practices for analytics and reporting.
  • Ensure adherence to data security and compliance standards.
  • (Nice to have) Integrate and manage workloads in Snowflake for analytical purposes.
Required Skills & Qualifications:
  • Proven experience as a Data Engineer with hands-on AWS expertise.
  • Strong proficiency in AWS Redshift and AWS Glue.
  • Advanced SQL and Python programming skills.
  • Experience with real-time / streaming data ingestion and processing (e.g., Kinesis, Kafka).
  • Familiarity with AWS EMR optional
  • Exposure to Snowflake
  • Solid understanding of ETL processes, data modeling, and performance optimization.
  • Strong problem-solving skills and ability to work in collaborative environments.
Preferred Qualifications:
  • AWS Certified Data Analytics Specialty or AWS Certified Solutions Architect.
  • Experience with CI/CD for data pipelines.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.