Associate AWS Data EngineerPosition Type: Full Time, Exempt Employee
Salary Range: $100,000 - $120,000 annually, DOE
. Compensation will be based on the candidate's experience, qualifications, and geographic location.
Location: This position based onsite at the Service Center in Dallas, TX and offers a hybrid work option after a 90-day probationary period (not fully remote).
About the OpportunityThe
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.
Job Duties and Responsibilities include, but are not limited to: - 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.
Position 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.
Preferred Requirements: - 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.
Support & GrowthThis role works closely with the Lead Data Engineer and joins a small, high-output team supporting 20+ active data workstreams across integrations, outbound feeds, and business intelligence. Responsibilities grow steadily as skills, confidence, and domain knowledge develop with a clear path toward owning end-to-end pipeline and dashboard delivery.
Physical Requirements:Standard Office Environment
More than 50% of the time:
- Sit, stand, walk.
- Repetitive movement of hands, arms and legs.
- See, speak and hear to be able to communicate.
Less than 50% of the time:
- Stoop, kneel or crawl.
- Climb and balance.
- Carry and lift 10-20 lbs.
Additional InformationAny offer of employment may be contingent upon the successful completion of job-related post-offer requirements, which may include background checks, reference checks, and/or other screenings or examinations as permitted by applicable law.
What We OfferWe are committed to providing a competitive benefits and compensation package which includes medical/dental/vision coverage, company-provided life insurance, 401(k) with company match, and sick/vacation plans. We also believe in supporting our employee's professional growth and development through our Learning Management System as well as training sessions and seminars. Take a look at these benefits (and more!) at www.ensignbenefits.com.
Job ID 1708
