Hybrid Data Engineer: AWS, DBT & AI-Driven Pipelines

Symple Lending, Inc.; Tampa (FL); Híbrido; USD 110 000 - 160 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary

Comprehensive health insurance

Mentorship from Senior Data Engineer

Ownership of production systems

Exposure to AI-driven tooling

Resumo da oferta

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.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

SQL

Python

Data pipelines

Problem solving

Communication

Collaboration

Ferramentas

Amazon Redshift

Snowflake

BigQuery

dbt

AWS

Git

CI/CD

Terraform

CloudFormation

Descrição da oferta de emprego

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.