ZipRecruiter

Log In

1

Intern Databricks Data Engineer Jobs in Tampa, FL

Deloitte

Azure/Databricks Infrastructure Engineer

Tampa, FL · On-site

$52.75 - $70.50/hr

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement ...

PODS

Engineer II - Machine Learning

Clearwater, FL · On-site

$101K - $121K/yr

As an ML Data Engineer, you will bridge data engineering and ML engineering: build high-quality feature pipelines in Snowflake/Snowpark, Databricks, productionize and operate batch/real-time ...

Bakertilly

Associate Data Engineer

Tampa, FL · On-site

$85K - $162K/yr

Data Engineering: Develop scalable, welldocumented ETL/ELT pipelines using TSQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks; implement bestpractice patterns for performance ...

Endurion

Data Layer Engineer

Tampa, FL · On-site

$108K - $129K/yr

Data Layer Engineer Full TimeProfessional Doral, FL Position Summary The Data Layer Engineer ... Working with tools such as Databricks Unity Catalog, Collibra, Alation, AWS Glue, or Azure Purview.

Booz Allen Hamilton

Data Engineer, Senior

Tampa, FL · On-site

$77K - $176K/yr

Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience with distributed data or computing tools, including Spark, Databricks, or pipeline data ...

Booz Allen Hamilton

Senior Data Engineer

Tampa, FL · On-site

$77K - $176K/yr

R0247170 Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine ... Experience with distributed data or computing tools, including Spark, Databricks, or pipeline data ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Tampa, FL · On-site

$77K - $176K/yr

Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience with distributed data or computing tools, including Spark, Databricks, or pipeline data ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Tampa, FL · On-site +1

$77K - $176K/yr

Share Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning ... Experience with distributed data or computing tools, including Spark, Databricks, or pipeline data ...

Bristol-Myers Squibb

Senior Data Engineer

Tampa, FL · On-site

$137K - $166K/yr

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field Minimum of 5-7 years of experience in data engineering or a related role Proficiency in Databricks with a ...

Bristol Myers Squibb

Senior Data Engineer

Tampa, FL · On-site

$137K - $166K/yr

Proficiency in Databricks with a strong focus on data engineering * Strong SQL skills and experience with relational databases * Proficiency in programming languages such as Python, Java, or Scala

Booz Allen Hamilton

Data Engineer, Senior

Tampa, FL · On-site

$99K - $225K/yr

Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience with distributed data scripting, and computing tools, including Databricks, Spark, AWS ...

Accenture

Databricks Admin Specialist - 6456969

Tampa, FL · On-site

$50.72 - $60.72/hr

As a Data Engineer, you will be responsible for designing, developing, and maintaining data ... Master proficiency in Databricks Administration is required. Expert proficiency in Snowflake ...

TECO

Enterprise Analytics Data Engineer

Tampa, FL · On-site

Enterprise Analytics Data Engineer Company : Tampa Electric Company Location: Midtown East Tower ... such as Databricks and Delta Lake. Ability to build and maintain scalable, cost-optimized ...

previous pagenext page

Showing results 21-40

All JobsIntern Databricks Data Engineer JobsIntern Databricks Data Engineer Jobs in Tampa, FL

Intern Databricks Data Engineer information

See Tampa, FL salary details

$12

$24

$36

How much do intern databricks data engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for intern databricks data engineer in Tampa, FL is $24.02, according to ZipRecruiter salary data. Most workers in this role earn between $19.52 and $27.26 per hour, depending on experience, location, and employer.

What is the difference between Intern Databricks Data Engineer vs Intern Data Analyst?

AspectIntern Databricks Data EngineerIntern Data Analyst
Required SkillsSQL, Python, Spark, Databricks platformExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting environments
Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Databricks Data Engineers focus on building data pipelines and managing large-scale data workflows using Databricks and Spark, while Intern Data Analysts primarily analyze data and create reports. Both roles require SQL and basic programming skills, but Data Engineers need more technical expertise in data infrastructure, whereas Data Analysts focus on interpreting data for business insights.

What are the most commonly searched types of Databricks Data Engineer jobs in Tampa, FL?

The most popular types of Databricks Data Engineer jobs in Tampa, FL are:

What are popular job titles related to Intern Databricks Data Engineer jobs in Tampa, FL?

For Intern Databricks Data Engineer jobs in Tampa, FL, the most frequently searched job titles are:

What job categories do people searching Intern Databricks Data Engineer jobs in Tampa, FL look for?

The top searched job categories for Intern Databricks Data Engineer jobs in Tampa, FL are:

Intern Databricks Data Engineer jobs near you
Infographic showing various Intern Databricks Data Engineer job openings in Tampa, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $49,960 per year, or $24 per hour.

Principal Data & AI Platform Architect - Azure Databricks

United Vein & Vascular Centers

Tampa, FL • On-site

Full-time

Re-posted yesterday

Key responsibilities

  • Design, build, and optimize batch and streaming ETL/ELT pipelines and reusable ingestion frameworks using Azure Data Factory and Databricks.

  • Architect, manage, and optimize enterprise data environments across Azure Data Lake Storage Gen2, Azure SQL, and Databricks, including implementing DataOps practices.

  • Design and develop Databricks AI/BI Dashboards and domain-specific Genie Agents, and govern Unity Catalog metric views and semantic definitions.

Job description

Reporting to the Senior Director of Data & AI, the Senior Data Architect is a hands-on technical leader responsible for the architecture, engineering, governance, and optimization of UVVC's enterprise data platform. This role will define technical standards and design scalable data pipelines, medallion data products, semantic models, and governed analytics solutions that enable trusted self-service analytics and AI-driven insights across UVVC.
Responsibilities
Data Pipeline Development & Orchestration
  • Design, build, and optimize batch and streaming ETL/ELT pipelines and reusable ingestion frameworks using Azure Data Factory and Databricks across APIs, databases, SaaS platforms, and internal systems.
  • Build scalable Delta Lake transformation frameworks using medallion architecture, Spark, and SQL.
  • Implement CI/CD, parameterization, triggers, and pipeline automation best practices.

Azure Data Platform Engineering
  • Architect, manage, and optimize enterprise data environments across Azure Data Lake Storage Gen2 (ADLS Gen2), Azure SQL, and Databricks, including serverless and classic compute strategies, cost governance, and workload isolation strategies.
  • Implement DataOps practices including testing, version control, monitoring, and documentation.

Unity Catalog, Security & Data Governance
  • Design and administer the enterprise Unity Catalog structure, including catalogs, schemas, external locations, storage credentials, groups, service principals, and ownership models.
  • Implement least-privilege access, governed tags, attribute-based access-control policies, row-level filters, and column-level masking for PHI, PII, financial, and other sensitive information.
  • Establish standards for data classification, lineage, auditability, stewardship, retention, certification, and access reviews.
  • Partner with Security, Compliance, Privacy, and business data owners to ensure data solutions align with HIPAA and organizational security requirements.
  • Govern tables, views, volumes, functions, metric views, dashboards, models, and Genie Agents through Unity Catalog.

AI/BI, Semantic Models & Genie Agents
  • Design and develop Databricks AI/BI Dashboards and domain-specific Genie Agents for clinical, operational, financial, RCM, marketing, and executive use cases.
  • Configure trusted datasets, joins, business terminology, instructions, example queries, dimensions, measures, synonyms, and approved KPI definitions.
  • Develop and govern Unity Catalog metric views and semantic definitions to ensure consistent reporting across Databricks AI/BI and Power BI.
  • Establish testing and monitoring processes for Genie Agent accuracy, data grounding, security, explainability, performance, and user adoption.
  • Ensure that AI-generated results respect Unity Catalog permissions and approved business definitions.

Databricks Architecture & Platform Ownership
  • Design and implement enterprise-grade Databricks Lakehouse Medallion architecture (Bronze, Silver, Gold layers).
  • Define and enforce data engineering standards, naming conventions, and architectural patterns across all pipelines.
  • Lead the architecture of Delta Lake design patterns, including partitioning, optimization, and data lifecycle management.
  • Establish scalable serverless and classic compute strategies, job orchestration frameworks, and workspace organization.
  • Evaluate and implement new Databricks capabilities and ensure alignment with enterprise data strategy

Cross-Functional Collaboration
  • Work closely with clinical, sales, marketing, finance, RCM, operations, HR, and IT teams to understand business needs.
  • Provide technical guidance on data engineering patterns and platform capabilities.
  • Clearly communicate progress, risks, and technical decisions to data stakeholders and leadership.

Data Modeling and Enterprise Metrics
  • Develop conceptual, logical, dimensional, and physical data models supporting clinical, operational, financial, marketing, RCM, and workforce analytics.
  • Establish conformed dimensions, master and reference data standards, governed KPIs, and reusable semantic definitions.
  • Reduce conflicting calculations and duplicate business logic across Databricks AI/BI, Power BI, and downstream applications.

Data Quality and Observability
  • Establish data-quality rules, reconciliation controls, data SLAs, pipeline observability, alerting, incident response, and root-cause-analysis processes.
  • Define standards for schema evolution, change data capture, late-arriving data, historical tracking, retries, and recovery.

Performance and FinOps
  • Monitor and optimize Databricks consumption using system tables, workload tagging, budget controls, query profiling, serverless and classic compute selection, SQL warehouse configuration, and data-layout optimization.
  • Establish cost allocation and accountability by environment, data product, department, and workload.

Qualifications
Required Qualifications
  • 8+ years of progressive experience in data engineering, data architecture, analytics engineering, or cloud data platforms, including demonstrated ownership of production Databricks architecture.
  • Demonstrated technical leadership and mentoring experience within data engineering or architecture teams.
  • Hands-on expertise with Azure Data Factory, including pipelines, mapping data flows, Integration Runtime configuration and management, triggers, and monitoring.
  • Hands-on expertise with Azure Databricks, including notebooks, Apache Spark, Delta Lake, Databricks SQL, Lakeflow Jobs, Lakeflow pipelines, and workflow orchestration.
  • Advanced SQL expertise, including complex transformations, dimensional and semantic modeling, query-plan analysis, Delta Lake optimization, Databricks SQL, and SQL warehouse performance tuning.
  • Advanced proficiency in Python and PySpark for data engineering, reusable framework development, automation, testing, and performance optimization.
  • Deep expertise in Medallion Lakehouse architecture (Bronze/Silver/Gold) and Delta Lake optimization techniques.
  • Demonstrated experience designing, implementing, and operating enterprise Databricks environments across development, testing, and production, including security, governance, deployment, performance, and cost management responsibilities.
  • Strong understanding of Databricks Unity Catalog, data governance, and security models.
  • Strong understanding of HIPAA, PHI/PII safeguards, least-privilege access, data retention, auditability, and secure healthcare data integration.
  • Experience defining data platform standards, frameworks, and best practices

Preferred Qualifications
  • Experience with AI/ML workflows, feature engineering, or model enablement.
  • Experience integrating data across EHR/EMR, CRM, patient-engagement, contact-center, marketing, finance/ERP, HRIS, and revenue-cycle platforms.
  • Experience designing enterprise data models and governed KPIs for healthcare operations, including patient volume, referrals, scheduling, conversion, provider productivity, revenue cycle, payer performance, denials, collections, labor, and clinic-level financial performance.
  • Familiarity with real-time processing (Structured Streaming) within Databricks.
  • Experience with master data management, reference data, and entity-resolution strategies across patients, providers, locations, payers, legal entities, and acquired practices.

About us:
UVVC, is a leading provider of comprehensive vein and vascular care with over 60 clinics across Arizona, Illinois, Colorado, Florida, Georgia, Texas, and expanding. Our mission is to revolutionize vascular care by delivering an all-inclusive clinic experience that addresses every aspect of lower extremity vein, vascular, and wound conditions.
United Vein & Vascular Centers (UVVC) is distinguished by its innovative approach to diagnosing and treating a variety of vascular conditions that affect the pelvis and lower extremities. With a team of committed specialists, cutting-edge medical technology, and a patient-centric approach that emphasizes minimally invasive procedures, UVVC ensures superior care and optimal outcomes for it's patients.

Apply