Data & AI Engineer III
Job in
McKinney, Collin County, Texas, 75069, USA
Listed on 2026-07-20
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-20
Job specializations:
-
IT/Tech
Data Engineering, AWS, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Responsibilities
- Lead and develop robust data engineering solutions to meet the needs of our organization and business customers.
- Be responsible for establishing appropriate architecture to support current and future business requirements.
- Mentor team members and provide technical guidance on Cloud Data Lake and Data Warehouse design, development, implementation, and monitoring.
- Understand, design and implement Data Security around cloud data infrastructures.
- Provide support and guidance to Data Services and other application development teams on various Data Engineering and Analytics products.
- Bachelor's degree in Computer Science/Engineering, Information Systems, or equivalent work experience in a technical position.
- 10+ years of experience in Information Technology.
- 5+ years of hands‑on experience in Database Engineering and data engineering solutions, including design and implementation in AWS Redshift, RDS/Aurora, DMS, Glue, and Lambda.
- Proven experience building data pipelines and database applications.
- Strong coding and scripting experience with Python, Power Shell, or similar languages, including implementation of Big Data technologies such as Hadoop, Spark, Presto, Hive, and Hue.
- Working knowledge of AWS Data Management and Pipeline tools, including S3, Lambda, Glue, Athena, Cloud Watch, Cloud Trail, IAM, and SNS.
- Advanced SQL programming and solid understanding of implementing data lake and data warehouse solutions in the cloud.
- Development experience with a major ETL tool, preferably Informatica.
- Experience in creating and deploying Cloud Formation Templates (CFTs).
- Experience with database performance testing and capacity planning.
- Working knowledge of SDLC and agile/iterative methodologies.
- Excellent verbal and written communication skills and ability to work independently and as part of a team.
- AWS or LOMA Certifications, experience in Life Insurance/Annuity/Financial Services, knowledge of AWS AI offerings, and experience with data visualization tools are all a plus.
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