Data Engineer

Symple Lending, Inc.; Tampa (FL); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive health insurance

Mentorship from Senior Data Engineer

Ownership of production systems

Exposure to AI-driven tooling

Job summary

Symple Lending, Inc. is seeking a Data Engineer to join our fintech team in Tampa. You will maintain and optimize production data pipelines, build dbt models, and leverage AWS services to power scalable data solutions.

You'll own production systems, monitor data quality, implement security best practices, and collaborate with engineers through Git, PRs, and CI/CD. This role offers a hybrid work model in Tampa and hands-on exposure to modern AI-assisted tooling.

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL

Python

Data pipelines

Problem solving

Communication

Collaboration

Tools

Amazon Redshift

Snowflake

BigQuery

dbt

AWS

Git

CI/CD

Terraform

CloudFormation

Job description

Hybrid Position – Tampa, Florida

Symple Lending is an innovative fintech company at the forefront of transforming the lending industry by empowering customers on their journey to financial freedom. Our commitment lies in providing seamless and efficient lending solutions to our customers.

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.

What You’ll Bring:

• 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.

Why Work for Symple Lending:

• Competitive salary

• Comprehensive health, dental, and vision insurance.

• Direct mentorship from an experienced Senior Data Engineer.

• Opportunity to take ownership of production systems and make a meaningful impact.

• Hands‑on exposure to modern AWS cloud infrastructure and AI‑driven engineering tools.

• A positive and collaborative work culture.

• Paid time off.

• Professional growth and development opportunities.

• Employee referral bonus program.

Symple Lending is an equal opportunity employer and encourages candidates of all backgrounds to apply.