FinTech

Data Engineer - Databricks

FinTech$90K — $130K *
Tampa, FL 33647In-Person
Information Technology
5 - 7 years of experience
Job Overview by Ladders

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.

Responsibilities

  • Design and build end-to-end data pipelines and integrations.
  • Develop Kafka streaming applications and connectors.
  • Implement Databricks workflows using medallion architecture.
  • Ensure data governance compliance and best practices.
  • Tune performance for large-scale data processing.
  • Integrate with various data stores like Druid and MongoDB.
  • Explore LLM-based solutions and generative AI for business use cases.

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
Full 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 Group Limited provides financial technology solutions in Europe. The company operates through three segments: B2C, B2B, and Institutional Clients. It offers online brokerage, banking, and advice services; and operates a business-to-business banking platform that provides white-label banking services to banks and financial institutions. The company also provides a range of value-added services, such as customer acquisition, customer retention, and cross-selling services. In addition, it offers a range of products and services, including securities trading, foreign exchange trading, and contract for difference trading. The company was formerly known as Flatex AG and changed its name to FinTech Group Limited in August 2017. FinTech Group Limited was founded in 1999 and is headquartered in Sydney, Australia.
Learn more about FinTech
Size
1,000 employees
Industry
Net Income
$10,000
Founded
1999
5 Year Trend
+50%
Revenue
$1 million
NASDAQ

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