Associate AWS Data Engineer
Ensign Services•Dallas, TX
•$100,000 - $120,000•Hybrid
About The Position
The Associate AWS Data Engineer supports the design, development, and maintenance of cloud-native data solutions that power business automation and reporting. This role focuses on building and maintaining AWS-based data pipelines, SQL-driven transformations, and QuickSight dashboards — contributing directly to a growing portfolio of data integrations and BI initiatives.
Requirements
- Bachelor's degree in Information Systems, Computer Science, or a related field.
- 2-4 years of relevant experience or equivalent project/academic experience.
- Strong SQL skills — writing queries, views, and transformations (SQL Server, Athena, or similar).
- Hands-on experience with AWS services: S3, Lambda, Glue, Athena, CloudWatch.
- Familiarity with AWS Step Functions or similar orchestration tools.
- Experience with Python for data processing and automation scripting.
- Exposure to data lake concepts, S3-based storage patterns, and basic data modeling.
- Experience with ETL/ELT concepts and job orchestration.
Nice To Haves
- Experience building or maintaining QuickSight dashboards and datasets.
- Familiarity with ECS for containerized data workloads.
- Exposure to S3 Tables or Apache Iceberg table formats.
- Basic knowledge of AWS IAM, VPC, and security best practices.
- Experience with REST/SOAP API integrations.
- Fundamental understanding of healthcare or business operations data.
- Introductory knowledge of Spark or distributed data processing.
Responsibilities
- Build, test, and maintain data pipelines using AWS Lambda, Glue, and Step Functions.
- Write and maintain SQL queries, views, and transformations against Athena, S3 Tables, and SQL Server.
- Develop and support QuickSight dashboards and datasets for business stakeholders.
- Assist in designing and maintaining ELT workflows that land data into S3-based data lakes and S3 Tables.
- Monitor pipeline health and data availability using CloudWatch alarms, logs, and metrics.
- Support containerized workloads and scheduled jobs running on ECS.
- Participate in code reviews and follow best practices for data quality, security, and performance.
- Document data flows, pipeline logic, and dashboard definitions.
- Collaborate with business analysts and senior engineers to translate reporting needs into data solutions.
Benefits
- medical/dental/vision coverage
- company-provided life insurance
- 401(k) with company match
- sick/vacation plans
- Learning Management System
- training sessions and seminars
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
