Databricks Data Engineer for ML-Driven BI & Pipelines

Fintech Brand; Tampa (FL); Hybrid; 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

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.