1

Urgently Hiring Databricks Data Engineer Jobs in Florida

Data Engineer - Databricks

Tampa, FL ยท On-site

$104K - $125K/yr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business ... Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring ...

Data Engineer - Databricks

Tampa, FL ยท Hybrid

$108K - $129K/yr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business ... Fintech's management team is dedicated to this policy with respect to recruitment, hiring ...

Data Engineer - Databricks

Tampa, FL ยท On-site

$108K - $129K/yr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business ... Fintech's management team is dedicated to this policy with respect to recruitment, hiring ...

Data Engineer

West Palm Beach, FL ยท On-site

$110K - $133K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

Azure Data Engineer

Melbourne, FL ยท On-site

$62K - $141K/yr

Experience with distributed data or computing tools, including Apache Spark and Azure Databricks ... Identity Statement As part of the hiring process, we will ask you to complete an identity ...

New

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance ...

Data Engineer

Miami, FL ยท On-site

$120K - $180K/yr

Design, build, and maintain end-to-end data pipelines using Databricks (SparkSQL, PySpark) for data ... If you have been contacted by someone claiming to be a OneImaging recruiter or a hiring manager ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance ...

next page

Showing results 1-20

Urgently Hiring Databricks Data Engineer information

What does a Databricks Data Engineer do?

An Urgently Hiring Databricks Data Engineer is responsible for designing, building, and maintaining data pipelines and architectures using the Databricks platform. They work with large datasets, ensure data quality, and optimize data workflows to support analytics and business intelligence. Their role often involves collaborating with data scientists, analysts, and other stakeholders to ensure efficient data processing and storage solutions in a cloud environment. Because the position is urgently hiring, candidates are expected to have strong technical skills in Spark, Python or Scala, and experience with cloud services such as AWS, Azure, or Google Cloud.

What are some common challenges faced by Databricks Data Engineers when onboarding to a new project, and how can they be addressed?

Databricks Data Engineers often encounter challenges such as adapting to a new team's data architecture, understanding existing ETL pipelines, and ensuring data quality within the Databricks environment. Successfully onboarding involves quickly familiarizing yourself with the team's coding standards, data governance policies, and collaboration tools. Proactively communicating with team members, documenting findings, and participating in code reviews can help bridge knowledge gaps and streamline integration into the workflow.

What are the key skills and qualifications needed to thrive as a Databricks Data Engineer?

To thrive as a Databricks Data Engineer, you need strong proficiency in data engineering concepts, Python or Scala programming, and experience with big data processing frameworks, typically supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and relevant certifications such as Databricks Certified Data Engineer Associate are highly valued. Excellent problem-solving skills, collaboration, and effective communication set candidates apart in this fast-paced environment. These skills and qualifications are crucial for efficiently building scalable data pipelines, ensuring data integrity, and enabling business insights.

What is the difference between Urgently Hiring Databricks Data Engineer vs Data Scientist?

AspectDatabricks Data EngineerData Scientist
Required SkillsApache Spark, SQL, ETL, Databricks platformStatistics, Machine Learning, Python/R
Work EnvironmentData pipelines, cloud platforms, big data toolsData analysis, modeling, visualization
CertificationsDatabricks certifications, cloud platform credentialsNone specific, often advanced degrees

Urgently Hiring Databricks Data Engineers focus on building and maintaining data pipelines using Databricks and big data tools, while Data Scientists analyze data to generate insights and models. Both roles require technical expertise but differ in their core responsibilities and skill sets.

What are the most commonly searched types of Databricks Data Engineer jobs in Florida? The most popular types of Databricks Data Engineer jobs in Florida are:
What are popular job titles related to Urgently Hiring Databricks Data Engineer jobs in Florida? For Urgently Hiring Databricks Data Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Urgently Hiring Databricks Data Engineer jobs in Florida look for? The top searched job categories for Urgently Hiring Databricks Data Engineer jobs in Florida are:
What cities in Florida are hiring for Urgently Hiring Databricks Data Engineer jobs? Cities in Florida with the most Urgently Hiring Databricks Data Engineer job openings:

Data Engineer - Databricks

Vaco by Highspring

Tampa, FL โ€ข On-site

$104K - $125K/yr

Other

Dental, Vision, Retirement

This job post hasย expired today.ย Applications are no longer accepted.


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

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:

Bachelorโ€™s/Masterโ€™s in Computer Science, Data Engineering, Statistics, or related field.

5+ years in data engineering; 2+ years applying ML in production. 


Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individualโ€™s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the companyโ€™s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.