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Associate Data Engineer Jobs in Palm Harbor, FL (NOW HIRING)

Data Engineer - Databricks

Tampa, FL · Hybrid

$108K - $129K/yr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business ... Backed by leading investors TA Associates and General Atlantic, it stands as a leader in this ...

Data Engineer - Databricks

Tampa, FL · On-site

$108K - $129K/yr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business ... Backed by leading investors TA Associates and General Atlantic, it stands as a leader in this ...

Data Engineer - Senior Manager

Tampa, FL · On-site

$124K - $280K/yr

... Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data ...

... experience OR Associate's degree and 10 years of Data Engineer experience OR High school diploma / GED and 12 years of Data Engineer experience * AWS Certified Data Engineerpreferred

Data Engineer - SOCOM

Tampa, FL · On-site

$108K - $129K/yr

Data Engineer - SOCOM Location: On-Site, Tampa, FL Clearance Level: Top Secret / SCI, Must Have ...  an associate's degree plus 7 years of recent specialized experience, OR, a major ...

Data Engineer - SOCOM

Tampa, FL · On-site

$108K - $129K/yr

Data Engineer - SOCOM Location: On-Site, Tampa, FL Clearance Level: Top Secret / SCI, Must Have ... associate's degree plus 7 years of recent specialized experience,OR,a major certification plus 7 ...

Data Engineer - SOCOM

Tampa, FL · On-site

$108K - $129K/yr

Data Engineer - SOCOM Location: On-Site, Tampa, FL Clearance Level: Top Secret / SCI, Must Have ... associate's degree plus 7 years of recent specialized experience,OR,a major certification plus 7 ...

Data Engineer with Security Clearance

Tampa, FL · On-site

$108K - $129K/yr

We are looking for a Data Engineer 2-3 (Associate/Mid-Level) to: • Design, build, and evolve scalable data pipelines that power analytics, reporting, and machine learning initiatives. • Develop ...

UNCOMN is seeking a Data Engineer 2-3 (Associate/Mid-Level) to: * Design, build, and evolve scalable data pipelines that power analytics, reporting, and machine learning initiatives. * Develop and ...

Data Protection Associate

Tampa, FL · On-site

$53K - $54K/yr

Being a member of IT Cybersecurity & Platform Engineering team, the Data Protection Operations Associate is responsible for the day-to-day operation of DTCC's data protection controls, with primary ...

Data Layer Engineer

Tampa, FL · On-site

$108K - $129K/yr

Azure Data Engineer Associate (Preferred, Not Required) Clearance Requirement An active TS/SCI security clearance is required for on-site duty location. This is intended to describe the general ...

Data Strategy-Manager

Tampa, FL · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

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 ... Analytics associates JOB QUALIFICATIONS: Essential Skills, Abilities, and Example Behavior(s ...

New

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

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Associate Data Engineer information

See Palm Harbor, FL salary details

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How much do associate data engineer jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for associate data engineer in Palm Harbor, FL is $16.50, according to ZipRecruiter salary data. Most workers in this role earn between $13.56 and $17.55 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What are the most commonly searched types of Data Engineer jobs in Palm Harbor, FL?

The most popular types of Data Engineer jobs in Palm Harbor, FL are:

What are popular job titles related to Associate Data Engineer jobs in Palm Harbor, FL?

For Associate Data Engineer jobs in Palm Harbor, FL, the most frequently searched job titles are:

What job categories do people searching Associate Data Engineer jobs in Palm Harbor, FL look for?

The top searched job categories for Associate Data Engineer jobs in Palm Harbor, FL are:

What cities near Palm Harbor, FL are hiring for Associate Data Engineer jobs?

Cities near Palm Harbor, FL with the most Associate Data Engineer job openings:

Data Engineer - Databricks

Fintech

Tampa, FL • Hybrid

$108K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Fintech rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

185th of 247 rated software companies


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, 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 visitwww.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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