Data Engineer - Databricks

Fintech

Tampa, FLOn-siteFull time
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Location
Tampa, FL
Work style
On-site
Job type
Full time
Posted
Oct 27
1 day ago
Career path

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About the company

Fintech

Financial services · 51 to 200 employees

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.

Fintech on LinkedIn

What you'll do

  • Build end-to-end data pipelines and integrations
  • Build and maintain end-to-end ML pipelines for training, deployment, and monitoring
  • Design and optimize data architectures for large-scale ML workloads
  • Explore and implement LLM-based solutions, RAG architectures, and generative AI
  • Communicate with data platform vendors
  • Evaluate vendor tools for specific data use cases
  • Provide technical feedback on vendor product roadmaps
  • Coordinate with vendors for data integration projects

What you need

  • Bachelor’s/Master’s in Computer Science, Data Engineering, Statistics, or related field
  • 5+ years in data engineering
  • 2+ years applying ML in production
  • Education: a bachelor's degree or a postgraduate degree

Key skills

DatabricksAdvanced SQL optimizationKafkamedallion architecturedata governancePerformance tuningApache NiFiML pipelinesMLOpsLLM-based solutionsRAG architecturesgenerative AIdata securityCross-functional collaborationTechnical mentoring

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Perks

  • Hybrid Work
  • Employer Matched 401K
  • Company Paid Medical Insurance
  • Company Paid Dental Insurance
  • Company Paid Vision Insurance
  • 18 Paid Vacation Days

See full description on company page, apply now

Read the full posting here
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.

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