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Associate Data Engineer Jobs in Tampa, FL (NOW HIRING)

Data Modeling Senior Associate

Tampa, FL ยท On-site

$63.50 - $85/hr

Partner with business stakeholders, product teams, data engineers, architects, and analytics teams to align data solutions with enterprise objectives. * Drive data model governance, standards ...

As a core member of the Data Management Team within Enterprise Data Solutions, an Associate ... Engineers, Data Governance and Data Quality Leads, IT Business System Analysts, and other Data ...

Associate Civil Engineer

Tampa, FL ยท On-site

$60 - $80/hr

This Opportunity WSP is currently initiating a search for an Associate Civil Engineer for the Mine ... Collect, identify, and compile environmental data from samples of water, sludge, and other matrices ...

This Opportunity WSP is currently initiating a search for an Associate Civil Engineer for the Mine ... Collect, identify, and compile environmental data from samples of water, sludge, and other matrices ...

This Opportunity WSP is currently initiating a search for an Associate Civil Engineer for the Mine ... Collect, identify, and compile environmental data from samples of water, sludge, and other matrices ...

Principal Software Engineer

Tampa, FL ยท On-site

$127K - $171K/yr

A background in data engineering, including experience with data pipelines and distributed data ... Associate's degree and 10 years of experience OR High school diploma / GED and 12 years of ...

Principal Software Engineer

Tampa, FL ยท On-site

$127K - $171K/yr

A background in data engineering, including experience with data pipelines and distributed data ... Associate's degree and 10 years of experience OR High school diploma / GED and 12 years of ...

Palantir Forward Deployed Senior Engineer

Tampa, FL ยท On-site

$98K - $135K/yr

Software + data engineering fundamentals : Write production code (e.g., Python, TypeScript) and ... If Associate's Degree, must have minimum 8 years work experience Professional Skill Requirements:

Sellers & Associates, LLC (S&A) is seeking a Data Management/Manager Subject Matter Expert (SME) to ... Our specialties include Program/Engineering Management, Training/Training Technology, Technology ...

You will help shape and deploy data pipelines, pre-processing workflows, feature engineering ... associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 ...

You will help shape and deploy data pipelines, pre-processing workflows, feature engineering ... associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 ...

Showing results 41-60

Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for associate data engineer in Tampa, FL is $17.71, according to ZipRecruiter salary data. Most workers in this role earn between $14.52 and $18.85 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 Tampa, FL?

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

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

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

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

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

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

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

Infographic showing various Associate Data Engineer job openings in Tampa, FL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $36,831 per year, or $17.7 per hour.

Data Modeling Senior Associate

DTCC

Tampa, FL โ€ข On-site

$63.50 - $85/hr

Full-time

Medical, Life, Retirement, PTO

Posted 15 days ago


Job description


Are you ready to make an impact at DTCC?
Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.
The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance.
Pay and Benefits:
  • Competitive compensation, including base pay and annual incentive
  • Comprehensive health and life insurance and well-being benefits, based on location
  • Pension / Retirement benefits
  • Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
  • DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).

The Impact You Will Have in This Role
As a Senior Data Architect, you will play a key role in shaping DTCC's enterprise data ecosystem by designing scalable, high-quality data models that power critical business intelligence, analytics, regulatory reporting, and operational decision-making.
You will serve as a trusted advisor to business, product, analytics, and technology teams, translating complex business requirements into robust data solutions while driving data quality, governance, and consistency across enterprise platforms.
This role provides the opportunity to lead the design and evolution of enterprise-scale Snowflake data warehouses while influencing data architecture standards, governance practices, and DTCC's long-term data modernization strategy supporting mission-critical financial markets infrastructure.
Your Primary Responsibilities:
  • Translate business requirements, BRDs, and Agile user stories into scalable logical, physical, and dimensional data models.
  • Design, implement, and optimize enterprise-scale Snowflake data models supporting analytics, reporting, regulatory, and data product initiatives.
  • Profile and analyze source system data using advanced SQL techniques to validate business requirements, identify data quality issues, and uncover data insights.
  • Create and maintain source-to-target mappings, data lineage documentation, metadata artifacts, and governance deliverables.
  • Apply data modeling best practices including normalization, dimensional modeling, semantic modeling, and Kimball methodology.
  • Partner with business stakeholders, product teams, data engineers, architects, and analytics teams to align data solutions with enterprise objectives.
  • Drive data model governance, standards, consistency, and model lifecycle management including schema evolution, refactoring, and metadata management.
  • Lead architecture reviews and facilitate model walkthroughs with technical and non-technical stakeholders.
  • Support enterprise data modernization, cloud transformation, and strategic data platform initiatives.
  • Influence and promote enterprise-wide data architecture standards, patterns, and best practices.

Qualifications
  • Bachelor's degree in Computer Science, Information Systems, or equivalent practical experience.
  • 7+ years of experience delivering enterprise data architecture, data modeling, and data management solutions.
  • 5+ years of hands-on experience designing logical, physical, and dimensional data models.

Talent Needed for Success
Data Architecture & Modeling Expertise
  • Expert-level proficiency with Erwin Data Modeler.
  • Extensive experience designing, implementing, and optimizing enterprise-scale Snowflake data models and data warehouse solutions.
  • Deep understanding of data warehousing concepts, dimensional modeling, and modern analytical architectures.
  • Expertise in normalization, Kimball methodology, semantic modeling, and data governance best practices.
  • Experience managing model evolution, schema changes, column deprecation, data lineage, metadata management, and stakeholder alignment.
  • Experience supporting enterprise data products, analytics platforms, and large-scale reporting ecosystems.

Technical Skills
  • Advanced SQL skills with strong data profiling, analysis, and troubleshooting capabilities.
  • Experience working with cloud-based data platforms and modern data architectures.
  • Strong understanding of data governance, master/reference data management, data quality frameworks, and metadata management best practices.
  • Experience creating source-to-target mappings and maintaining end-to-end data lineage documentation.
  • Experience with Agile delivery methodologies and distributed architecture teams.

Leadership & Collaboration
  • Strong stakeholder management, communication, and relationship-building skills.
  • Ability to influence cross-functional teams and drive alignment across business and technology organizations.
  • Experience leading architecture reviews and promoting enterprise modeling standards and best practices.

Preferred Qualifications
  • Financial Services, Capital Markets, Clearing, Settlement, or Risk Management industry experience.
  • Knowledge of post-trade processing and securities lifecycle data.
  • Experience with data profiling, data quality, or metadata management tools.
  • TOGAF or other data architecture certifications.
  • Experience supporting enterprise-scale analytics and data product initiatives.

The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
About Us
With over 50 years of experience, DTCC is the premier post-trade market infrastructure for the global financial services industry. From 20 locations around the world, DTCC, through its subsidiaries, automates, centralizes, and standardizes the processing of financial transactions, mitigating risk, increasing transparency, enhancing performance and driving efficiency for thousands of broker/dealers, custodian banks and asset managers. Industry owned and governed, the firm innovates purposefully, simplifying the complexities of clearing, settlement, asset servicing, transaction processing, trade reporting and data services across asset classes, bringing enhanced resilience and soundness to existing financial markets while advancing the digital asset ecosystem. In 2024, DTCC's subsidiaries processed securities transactions valued at U.S. $3.7 quadrillion and its depository subsidiary provided custody and asset servicing for securities issues from over 150 countries and territories valued at U.S. $99 trillion. DTCC's Global Trade Repository service, through locally registered, licensed, or approved trade repositories, processes more than 25 billion messages annually. To learn more, please visit us at www.dtcc.com or connect with us on LinkedIn, X, YouTube, Facebook and Instagram.
DTCC proudly supports Flexible Work Arrangements favoring openness and gives people freedom to do their jobs well, by encouraging diverse opinions and emphasizing teamwork. When you join our team, you'll have an opportunity to make meaningful contributions at a company that is recognized as a thought leader in both the financial services and technology industries. A DTCC career is more than a good way to earn a living. It's the chance to make a difference at a company that's truly one of a kind.
Learn more about Clearance and Settlement by clicking here.
About the Team
Serves as a dedicated technology resource for advancing DTCC's business opportunities and providing industry thought leadership for leveraging new technology. The goal of this new department is to partner internally with IT, our business and regulatory divisions and externally with clients, regulators, and fintech vendors, to help build new platforms and business models to advance DTCC's mission to support the financial markets.