DeveloperJobs.io
← Back to all jobs
Amazon Web Services, Inc.

Data Engineer

Amazon Web Services, Inc.
Dallas, TX $132k - $179k/yr Full time Posted 18d ago
Amazon Emr Amazon Web Services Analytics AWS Aws Glue Big Data Business Analytics Cloud Operations Data Analysis Data Analytics Data Engineer Data Integration Data Platform Data Processing Data Warehouse Database ETL Firehose Redshift Reporting and Analytics SQL
Apply Now

Job Description

Join Amazon Web Services in Dallas, onsite. This Data Engineer role offers a competitive annual salary ranging from USD 132,100 to 178,800, along with comprehensive benefits and a culture that emphasizes collaboration and data‑driven decision making. You will design, build, and maintain analytic data infrastructure, develop metrics and dashboards, and empower teams to make informed choices.

Benefits

  • Medical, dental, and vision insurance with prescription coverage, plus Basic Life and AD&D protection and the option for supplemental life plans
  • Employee Assistance Program (EAP) with mental health support and access to a Medical Advice Line
  • Flexible Spending Accounts
  • Adoption and Surrogacy Reimbursement coverage
  • 401(k) matching
  • Paid time off
  • Parental leave

Responsibilities

  • Design, build, and maintain scalable analytical data infrastructure to support analytics
  • Manage AWS resources including EC2, EMR, S3, Glue, Redshift, and related services
  • Collaborate with cross-functional teams to extract, transform, and load data from diverse sources using SQL and AWS big data tools
  • Continuously evaluate and adopt new AWS technologies to unlock capabilities and boost efficiency
  • Partner with data scientists and BI engineers to establish and promote reporting and analysis best practices
  • Drive improvements in reporting and self-service analytics by automating processes and simplifying access for customers

Requirements

  • Bachelor's degree
  • Experience as a data engineer or related specialty (software engineer, BI engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
  • At least 3 years developing and operating large-scale data structures for BI analytics, with strong SQL experience
  • Experience providing technical leadership and mentoring other engineers on data engineering best practices
  • Experience building and operating highly available, distributed systems for data extraction, ingestion, and processing of large data sets
  • Experience with data modeling, warehousing, and building ETL pipelines

Technologies

  • SQL
  • Redshift
  • Quicksights
  • AWS Glue
  • EMR
  • S3
  • EC2
  • IAM
  • Kinesis
  • FireHose
  • Lambda

Similar Jobs