Data Engineer - Databricks

Fintech Brand; Tampa (FL); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Hybrid Work

Employer Matched 401K

Company Paid Medical Insurance

Company Paid Dental Insurance

Company Paid Vision Insurance

Paid Vacation Days

Paid Holidays

Employee Recognition Programs

Holiday Bonus

Incentive Compensation

Community Outreach Opportunities

Business Casual Dress Code

Job summary

Fintech Brand is seeking a Data Engineer with extensive Databricks knowledge to enhance their Business Intelligence capabilities. The successful candidate will develop data pipelines, utilize machine learning, and ensure data governance.

This role offers a hybrid work schedule and competitive benefits including employer-matched 401K, medical, dental, and vision insurance, paid vacation days, and a recognition program.

Qualifications

• 5+ years in data engineering with experience applying ML in production.
• Strong analytical thinking for complex data problems.
• Effective collaboration skills in cross-functional teams.

Responsibilities

• Design and build data pipelines for BI capabilities.
• Maintain end-to-end ML pipelines for model management.
• Implement data governance and compliance measures.

Skills

Databricks expertise

Advanced SQL optimization

Kafka streaming applications

Data architecture design

Machine Learning operations

Education

Bachelor’s or Master’s in Computer Science, Data Engineering, Statistics

Tools

Apache NiFi

Postgres

MongoDB

OpenSearch

Job description

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

• Advanced SQL optimization and complex query design
• Kafka streaming applications and connector development
• Databricks workflow development with medallion architecture
• Data governance implementation and compliance
• 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
• Analytical thinking for complex data problems
• 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.

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

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.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.