Data Engineer - Databricks

Fintech; Tampa (FL); Hybrid; USD 95,000 - 125,000; Full time

Benefits offered by this job

Employer Matched 401K

Company Paid Medical Insurance

Company Paid Dental Insurance

Company Paid Vision Insurance

18 Paid Vacation Days

Holiday Bonus

Community Outreach Opportunities

Business Casual Dress Code

Job summary

Fintech in Tampa, FL is looking for a Data Engineer specializing in Databricks to enhance its Business Intelligence capabilities. The role focuses on designing data pipelines and applying machine learning solutions for informed decision-making across the company.

The ideal candidate will collaborate with diverse teams, support junior engineers, and ensure data governance. Fintech offers a hybrid work model, comprehensive insurance, and generous vacation policies.

Qualifications

• 5+ years in data engineering; 2+ years applying ML in production.

Responsibilities

• Design and build data pipelines.
• Deploy machine learning solutions.
• Operationalize analytics to drive decision-making.

Skills

SQL optimization

Kafka streaming applications

Databricks workflow development

Data governance implementation

Performance tuning

Data security practices

Apache NiFi development

Integration with data stores

ML pipeline development

Data architecture for ML

Education

Bachelor’s/Master’s in Computer Science or Data Engineering

Job description

This position is Hybrid in Tampa, FL.

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine learning solutions, and operationalize intelligent analytics to drive decision‑making across the organization. The ideal candidate blends data engineering best practices with applied machine learning, MLOps, and AI.

Key Responsibilities

Project Responsibility: End-to-end data pipelines and integrations

Technical Competencies

• Advanced SQL optimization and complex query design
• Kafka streaming applications and connector development
• Databricks workflow development with medallion architecture
• Data governance implementation and compliance
• Performance tuning for large-scale data processing
• Data security and privacy best practices
• Apache NiFi pipeline development for invoice and PO processing
• Integration with purpose‑built data stores (Druid, MongoDB, OpenSearch, Postgres)
• Build and maintain end‑to‑end ML pipelines for training, deployment, and monitoring of models.
• Design and optimize data architectures for large‑scale ML workloads
• Explore and implement LLM‑based solutions, RAG architectures, and generative AI for business use cases.

Soft Skills

• Cross‑functional collaboration with product and engineering teams
• Technical mentoring for junior data engineers
• Analytical thinking for complex data problems
• Stakeholder communication for data requirements
• Process improvement and efficiency focus
• Quality mindset for data accuracy and reliability

Vendor Management

• Direct communication with data platform vendors
• Evaluates vendor tools for specific data use cases
• Provides technical feedback on vendor product roadmaps
• Coordinates with vendors for data integration projects

Qualifications

Bachelor’s/Master’s in Computer Science, Data Engineering, Statistics, or related field.

5+ years in data engineering; 2+ years applying ML in production.

Our Benefits

• Hybrid Work
• Employer Matched 401K
• Company Paid Medical Insurance Option for Employee and Dependent Children
• Company Paid Dental Insurance for Employee
• Company Paid Vision Insurance for Employee
• Company Paid Long and Short‑Term Disability
• Company Paid Life and AD&D Insurance
• 18 Paid Vacation Days a Year
• Six Paid Holidays
• Employee Recognition Programs
• Holiday Bonus
• Incentive Compensation
• Community Outreach Opportunities
• Business Casual Dress Code

About Fintech

Fintech, a pioneering accounts payable (AP) automation solutions provider, has dedicated nearly 35 years to automating invoice processing between retail and hospitality businesses, and their supply chain partners. Backed by leading investors TA Associates and General Atlantic, it stands as a leader in this sector. Its flagship product, PaymentSource®, was first built for the alcohol industry to provide invoice payment automation between alcohol distributors and their customers across all 50 states. Today, it is utilized by over 267,000 businesses nationwide for invoice payment and collection associated with all B2B business transactions. This proven platform automates invoice payment, streamlines payment collection, and facilitates comprehensive data capture for over 1.1 million business relationships. Recognizing operational hurdles, Fintech expanded its payment capabilities to include scan‑based trading/consignment selling for its vendors and retailers and built an advanced CRM tool with functionality to fortify vendor, supplier, and distributor field execution, addressing diverse profit center challenges. For more information about Fintech and its range of solutions, please visit www.fintech.com.

Fintech is a Drug‑Free Workplace. Fintech is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy‑related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Fintech’s management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment. We E‑Verify.