Associate AWS Data Engineer
Position 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 Company
Ensign Services, Inc. (“ESI”) is a subsidiary of The Ensign Group, Inc., which is a national leader in the operation of skilled nursing, senior living, rehabilitation, home health, hospice, and other healthcare services. ESI is known as the “Service Center” and provides the facilities and leaders it serves with “back-office” support in areas such as accounting, construction, compliance, human resources, information technology, learning and development, legal and risk management and recruiting.
We seek individuals who thrive in a dynamic environment, embrace continuous learning, and are passionate about making a meaningful impact. We take our core values of Celebration, Accountability, Passion for Learning, Love One Another, Intelligent Risk Taking, Customer Second, and Ownership (“CAPLICO”) seriously. We want an individual in this role who will demonstrate these values through actions and words.
About the Opportunity
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.
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 & Growth
This 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 Information
Any 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 Offer
We 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 .
This company is an equal opportunity employer. If you need assistance or accommodation during the application process, please contact us at 888-659-3616.
Job ID 1708