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Associate Data Engineering Jobs in Sarasota, FL (NOW HIRING)

Bealls

Associate Developer

Bradenton, FL · On-site

We invest in our associates with training and development and build careers through collaboration ... Bachelor's Degree in Computer Science, Information Technology, Data Analytics, Engineering ...

3B Staffing LLC

AIA INS Big Data Expert

Sarasota, FL · On-site

Roles & Responsibilities Technical Lead Bachelors in science engineering or equivalent.Interact ... Job Type 50CW00 Business Associate 11.Demand Requires Travel? N 12.Certification(s) Required NA ...

3B Staffing LLC

AIA INS Big Data Expert

Sarasota, FL · On-site

Roles & Responsibilities Technical Lead Bachelors in science engineering or equivalent.Interact ... Job Type 50CW00 Business Associate 11.Demand Requires Travel? N 12.Certification(s) Required NA ...

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All JobsAssociate Data Engineering JobsAssociate Data Engineering Jobs in Sarasota, FL

Associate Data Engineering information

See Sarasota, FL salary details

$13

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$54

How much do associate data engineering jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for associate data engineering in Sarasota, FL is $31.88, according to ZipRecruiter salary data. Most workers in this role earn between $23.65 and $37.74 per hour, depending on experience, location, and employer.

What are some typical projects an associate data engineer might work on in their first year?

In their first year, an Associate Data Engineer often works on building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. They may also assist in optimizing existing data workflows for better performance and reliability, as well as collaborating closely with data analysts and senior engineers to ensure data quality and accessibility. These projects help new team members develop a strong understanding of the organization's data infrastructure and best practices in data engineering.

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

To thrive as an Associate Data Engineer, a solid understanding of database systems, SQL, data modeling, and a relevant bachelor's degree in computer science or a related field is essential. Familiarity with ETL tools, cloud platforms like AWS or Azure, and programming languages such as Python or Java is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help set candidates apart in collaborative, data-driven environments. These skills and qualities are crucial for building reliable data pipelines, ensuring data quality, and enabling actionable business insights.

What is an associate data engineer?

An Associate Data Engineer is an entry-level professional who assists in designing, building, and maintaining data pipelines and infrastructure. They typically work with senior data engineers to ensure data is collected, stored, and processed efficiently for analytics and business use. Responsibilities often include data cleaning, integration, and supporting the development of scalable data solutions. Associate Data Engineers usually have foundational knowledge of programming, databases, and cloud technologies.

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

AspectAssociate Data EngineeringData Engineer
Required CredentialsBachelor's degree in CS, IT, or related field; some certificationsBachelor's or master's degree; extensive experience preferred
Work EnvironmentEntry-level, team-focused, supporting data pipelinesDesigning, building, and maintaining large-scale data systems
Employer & Industry UsageCommon in tech companies, finance, healthcareUsed across industries for advanced data infrastructure roles
Search & Comparison IntentEntry-level, learning, support rolesAdvanced, specialized data infrastructure roles

The main difference between Associate Data Engineering and Data Engineer lies in experience and responsibilities. Associate Data Engineers are typically entry-level, focusing on supporting data pipelines and gaining hands-on experience. Data Engineers have more experience, handling complex data architecture, optimization, and system design. Both roles require similar educational backgrounds, but Data Engineers usually have more technical expertise and responsibility.

What are the most commonly searched types of Data Engineering jobs in Sarasota, FL? The most popular types of Data Engineering jobs in Sarasota, FL are:
What are popular job titles related to Associate Data Engineering jobs in Sarasota, FL? For Associate Data Engineering jobs in Sarasota, FL, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineering jobs in Sarasota, FL look for? The top searched job categories for Associate Data Engineering jobs in Sarasota, FL are:
What cities near Sarasota, FL are hiring for Associate Data Engineering jobs? Cities near Sarasota, FL with the most Associate Data Engineering job openings:
Associate Data Engineering jobs near you

Lead Technical Data Analyst

Raymond James Financial, Inc.

Saint Petersburg, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Job Description Summary
This position follows a hybrid work model, with an expectation to be in the office 3 days per week at the St. Petersburg, FL Corporate Office location.
Please note: This role is not eligible for Work Visa sponsorship, either currently or in the future.
Job Description
About the Role:
We need a Lead Technical Data Analyst who can own the requirements and data-mapping side of our AWS data platform. You do not need to be an expert in every AWS service day one; you need strong business-analysis fundamentals, solid SQL, and a good grasp of how data warehouses and data lakes work. You will work with engineers, risk analysts, and platform teams to turn business needs into clear, testable requirements.
Why This Role Stands Out:
You will be part of a team that is augmenting business/data analysis with AI directly inside the IDE. We use Claude models to accelerate the hard parts of the job: mapping data gaps, drafting requirements and user stories, generating test cases, analyzing datasets, and helping engineers review code and outputs. You will spend less time on boilerplate and more time on the judgment, domain expertise, and stakeholder work that actually matters.
What You'll Do
  • Elicit and document business and data requirements as user stories, PBIs, BRDs, and acceptance criteria.
  • Build source-to-target mappings and data dictionaries for Oracle, SQL Server, vendor files, and cloud data products.
  • Define data quality and reconciliation rules with engineering and make sure they are testable.
  • Support dimensional modeling decisions-facts, dimensions, SCD Type 1/2, and table classifications such as temporal, append-only, and snapshot.
  • Validate delivered data products against requirements and support UAT.
  • Coordinate across risk, data engineering, and platform teams; keep requirements and documentation organized in ADO / Confluence.
  • Help shape the backlog and sprint priorities for the BA workstream.
  • Use AI tooling to speed up mapping, requirements drafting, test-case generation, data analysis, and review tasks.

What We're Looking For:
  • 5+ years as a business analyst in data, BI, reporting, or data-integration projects.
  • Strong understanding of data warehouse concepts: ETL/ELT, dimensional modeling, star schema, slowly changing dimensions, fact vs. dimension tables.
  • Solid SQL; comfortable reading and validating queries across Oracle, SQL Server, or cloud query engines.
  • Familiarity with one or more AWS data services.
  • Experience writing acceptance criteria, source-to-target mappings, and data dictionaries.
  • Experience with Agile/Scrum, ADO or Jira, and Confluence.
  • Strong communication, documentation, and stakeholder-management skills.
  • Curiosity about using AI assistants to raise the quality and speed of analysis.
  • Experience in financial services or risk/data analytics is a plus.

Education
Bachelor's: Business Administration, Bachelor's: Computer and Information Science, High School (HS) (Required)
Work Experience
General Experience - 10 to 15 years
Certifications
Travel
Less than 25%
Workstyle
Hybrid
The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.
At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.
We expect our associates at all levels to:
• Grow professionally and inspire others to do the same
• Work with and through others to achieve desired outcomes
• Make prompt, pragmatic choices and act with the client in mind
• Take ownership and hold themselves and others accountable for delivering results that matter
• Contribute to the continuous evolution of the firm
At Raymond James - as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.
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