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Data Engineer II

Fa Ewkd Dev1 Saasfaprod1 Open
Hybrid Tampa Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Fa Ewkd Dev1 Saasfaprod1. Tampa · no salary stated · we estimate $112,439–$160,000 across the United States.

Estimated pay

Fa Ewkd Dev1 Saasfaprod1 has not published a salary for this role. The figure below is our estimate, not theirs.

$112,439 – $160,000
What the middle half of mid-level data engineering roles in the United States paid, among postings that did state a salary.
Worked out from 463 postings that stated pay, median $134,125. Last updated Nov 13, 2026.
RoleData Engineering
SeniorityMid-level
LocationTampa
WorkplaceHybrid
PostedOct 30, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain pipelines that combine, clean and reshape data for analytics, reporting and operational use
  • Write SAS and SQL programs to extract, transform, summarize and check information in large databases and institutional systems
  • Create data models and integration workflows that support dependable analysis, reports and data exchange
  • Publish and schedule dashboards and reports tracking data quality, project progress and key measures
  • Turn stakeholder needs into technical designs and improve data accuracy, documentation and repeatable processing

What you bring

  • A bachelor’s degree in a software or analytical field plus two years of relevant work, or a general bachelor’s degree plus three years
  • You can substitute direct experience for a bachelor’s degree, up to four years
  • You must already meet U.S. employment eligibility requirements; visa sponsorship is unavailable

Who this fits

This role suits a mid-level data engineer who can work with stakeholders and external partners to deliver data products. The position is based in Tampa and is hybrid.

From the employer

The Data Engineer II will collaborate with faculty, operational staff, business users, and other stakeholders to develop, manage, and optimize datasets, reports, data pipelines, and systems supporting programs and projects at the HII, with a particular emphasis on the Florida Parkinson’s Disease Registry. As a member of the Data Engineering team, this role will support the full data lifecycle, including data integration, curation, quality assurance, reporting, and data sharing. The Data Engineer II will apply professional expertise to manage and integrate data from diverse sources, develop and operationalize data solutions, and support program and project deliverables. This position will help ensure data integrity, standardization, security, and compliance with applicable data governance requirements, while identifying opportunities to improve efficiency, automation, and reuse of data processes and solutions.

- Develop, implement, and maintain complex data processes, programs, and pipelines to integrate, transform, cleanse, and consolidate data from diverse sources for reporting, analytics, and operational use.

- Create and maintain SAS, SQL, and related data processing programs to extract, subset, transform, summarize, and validate data from large and complex databases and institutional systems.

- Design and implement data models, data structures, and integration processes that support reliable analytics, reporting, and data sharing. Assist with new data acquisition, exploration, standardization, and integration.

- Develop, review, enhance, publish, and schedule reports, dashboards, and analytical outputs to monitor data acquisition, data quality, project/program status, and other key performance measures.

- Design and maintain processes that promote data integrity, completeness, accuracy, and consistency across datasets, reports, dashboards, and other data products.

- Work directly with faculty, operational staff, business users, and other stakeholders to understand objectives, analyze functional and data requirements, and translate those needs into technical designs, prototypes, data models, reports, and analytical solutions.

- Collaborate with external institutions and agencies to support project execution, data exchange, integration, and resource sharing activities.

- Apply best practices in the development, implementation, documentation, and maintenance of data programs, pipelines, systems, and analytical solutions while adhering to institutional data governance, security, privacy, and data management requirements.

- Maintain the integrity, reliability, and reproducibility of analysis datasets, data models, documentation, programming code, and other technical deliverables. Document systems, processes, and workflows comprehensively and contribute to the development and maintenance of standard operating procedures.

- Identify and implement opportunities to improve data processing, integration, reporting, automation, standardization, and reuse.

- Collaborate effectively with team members and stakeholders to coordinate activities and support timely completion of project and program deliverables. Proactively communicate progress, timelines, accomplishments, risks, and issues to management, including proposed mitigation strategies when challenges arise.

- Develop and maintain domain expertise in complex enterprise applications, institutional data systems, data processing technologies, and business intelligence tools to support current and evolving data management and analytical needs.

Minimum Qualifications: Bachelor's degree in Computer Science, MIS or other field involving software and analytical training and two years of relevant work experience. OR a Bachelor's degree with no specific required field and three years of relevant work experience.

Preferred Qualifications: Master’s degree and one year of relevant work experience,
OR a combination of six years of relevant work experience and validated training. Preparation for a relevant IT certification, validated through certification requirements and documentation of completion, is considered to be related training.

Additional Information for Applicants: This position is not eligible for Visa Sponsorship

Degree Equivalency Clause: Four years of direct experience for a bachelor’s degree.
• Senate Bill 1310- The Florida Senate (https://www.flsenate.gov/Session/Bill/2023/1310) is conditional upon meeting all employment eligibility requirements in the U.S.
• SB 1310: Substitution of Work Experience for Postsecondary Education Requirements
• A public employer may include a postsecondary degree as a baseline requirement only as an alternative to the number of years of direct experience required, not to exceed:
• (a) Two years of direct experience for an associate degree;
• (b) Four years of direct experience for a bachelor’s degree;
• (c) Six years of direct experience for a master’s degree;
• (d) Seven years of direct experience for a professional degree; or
• (e) Nine years of direct experience for a doctoral degree
• Related work experience may not substitute for any required licensure, certification, or registration required for the position of employment as established by the public employer and indicated in the advertised description of the position of employment.
• Minimum Qualifications that require a high school diploma are exempt from SB 1310.

The University of South Florida is a top-ranked research university serving approximately 50,000 students from across the globe at campuses in Tampa, St. Petersburg and USF Health. In 2025, U.S. News & World Report recognized USF with its highest overall ranking in university history, as a top 50 public university for the seventh consecutive year and as one of the top 15 best values among all public universities in the nation. U.S. News also ranks the USF Health Morsani College of Medicine in the highest tier, placing it as one of the top 16 medical schools in the nation and inside the top 10 among public universities. USF is a member of the Association of American Universities (AAU), a group that includes only the top 3% of universities in the U.S. With an all-time high of $750 million in research funding in 2025 and as a top 20 public university for producing U.S. patents, USF uses innovation to transform lives and shape a better future. The university generates an annual economic impact of nearly $10 billion for the state of Florida. USF’s Division I athletics teams compete in the American Conference. Learn more at www.usf.edu.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.