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# Data Engineer

- **Company:** Symple Lending
- **Location:** Tampa, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, BigQuery, Cloud Computing, Cloud Database, Code Review, Continuous Integration, Information Engineering, Data Transformation, Cursor, Database Queries, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Software Vulnerability Management, Scripting, File Transfer Protocol (FTP), Snowflake, Git, Cloudformation, Event Driven Architecture, AWS Fargate, Machine Learning Operations, Claude, Amazon Simple Queue Service (SQS), Terraform, Data Pipelines, Docker, Amazon Redshift
- **Published:** October 17, 2026
- **Apply:** https://www.careerjet.com/jobad/usda334431362dbe59e8304fbb56845b04

## About the Role

3-5 years of professional experience in data engineering or a related technical role.
Strong SQL skills and experience with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery.
Proficiency in Python for data pipelines, scripting, and automation.
Hands-on experience with AWS services, including S3, IAM, ECS, or Lambda.
Production experience with dbt and data transformation workflows.
Experience using Git, pull requests, and collaborative code-review practices.
Knowledge of security best practices, system monitoring, dependency management, and vulnerability remediation.
Familiarity with AI-assisted development tools and an interest in incorporating AI into daily workflows.
Strong problem-solving, communication, and collaboration skills.
Bonus Points For:
Experience with Docker, ECS/Fargate, Terraform, or CloudFormation.
Familiarity with AWS EventBridge, SQS, or other event-driven architectures.
Experience with security tools such as Dependabot, Snyk, or AWS Inspector.
Background in financial services, lending, or another regulated industry.
Exposure to machine learning pipelines or Amazon SageMaker.

## Description

We are seeking a talented and motivated Data Engineer to join our growing team! In this role, you'll work directly with our Senior Data Engineer to maintain and enhance the cloud infrastructure and data pipelines that power our business. You'll gain hands-on experience with modern AWS technologies, take ownership of production systems, and help build scalable data solutions in a fast-paced, technology-driven environment.
What You'll Be Doing:
Maintain and optimize production data pipelines using AWS technologies, including S3, Redshift, ECS, and SFTP integrations.
Build, test, and maintain dbt models to ensure reliable and efficient data transformations.
Monitor pipeline performance, data accuracy, and system health while troubleshooting and resolving issues.
Maintain security and compliance through system updates, dependency upgrades, vulnerability remediation, and patching.
Collaborate with engineering teams using Git, pull requests, code reviews, and CI/CD processes.
Leverage AI-assisted development tools such as Claude and Cursor to improve efficiency and streamline engineering workflows.
Develop technical documentation, maintain operational procedures, and communicate system updates across teams.
Partner with the Senior Data Engineer on infrastructure improvements and scalable data solutions.