Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,226 postings in the last year. Stated ranges, not salaries paid.
Data Engineer
Tampa, FL
Live, first seen by us 24 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingMaintain and optimize production data pipelines on AWS (S3, Redshift, ECS, SFTP)
Build, test, and maintain dbt models for data transformations
Monitor pipeline performance and data accuracy, and fix issues
Apply system updates, dependency upgrades, and vulnerability patching
Write technical documentation and communicate system updates across teams
From the employer’s posting
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.
Develop technical documentation, maintain operational procedures, and communicate system updates across teams.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 17, 202624 days ago
- Recorded sightings
- 26
- Last seen by us
- Nov 10, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 24
Similar jobs usually come down between day 5 and day 54.
From 12,292 similar postings that came down. Coming down is not always a hire.
Symple Lending is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- BigQuery
- dbt
- Docker
- Redshift
- S3
- SageMaker
- Snowflake
- Terraform
Where the posting names them
- 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.
- 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.
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:
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.
- 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 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.
- 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.
- 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.
- 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.
- 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.
Bonus Points For: - Experience with Docker, ECS/Fargate, Terraform, or CloudFormation. - Familiarity with AWS EventBridge, SQS, or other event-driven architectures.
- Background in financial services, lending, or another regulated industry. - Exposure to machine learning pipelines or Amazon SageMaker. Why Work for Symple Lending:
Your next step
Complete your application on symplelendingllc.applytojob.com. The employer’s form will show what is required.
Applying through JazzHR
- No account needed: one application form on the employer’s applytojob.com page.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Tampa, FL
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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.