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Electrical Superintendent - Combined Cycle - Oklahoma
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Hays

Data Solutions Engineer

FL, United States

Apply on hays.com About employer

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Job details

Apply by: Dec 11, 2026
Experience: 5+ years experience in law firm, corporate legal department, professional services, particularly within an innovation or KM function
Posting language: English
Posted: Nov 11, 2026

Original job description

The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate’s/applicant’s qualifications, skills, and level of experience as well as the geographical location of the position.

Applicants must be legally authorized to work in the United States. Visa sponsorship not available.

Our client is seeking a Data Solutions Engineer in Tampa, FL/Hybrid

Role Description

The Data Solutions Engineer supports the development and management of the Firm’s data warehouse / lakehouse, data analytics platforms, and related processes. This role contributes to the implementation and on-going support of the firm’s cloud data systems and analytics tools and processes.

The Engineer works with technology, knowledge, business services, and practice teams to discover the firm’s key operational data, assess intelligence and analytics needs, develop and communicate plans for data lake and analytics platform implementation, execute technical implementation of data platforms, and provide ongoing service, support, and planning for continued enhancements and user engagement. This role within our Data Strategy function partners closely with the Information Technology department and data and intelligence solutions teams in the development and delivery of the firm’s data platforms. This role contributes to digital transformation programs, provides technical and business process support, and serves as a contact for internal resources, such as the Information Technology department, as well as external resources including vendors and consultants.

Skills & Requirements

Databricks Certified Data Engineer Associate cert mandatory
5+ years (3+ if other masters or particularly strong background) of experience in data management activities such as building data pipelines, database administration, data engineering, data sciences
Knowledge in SQL Server using the full Microsoft SQL Server stack including Management Studio (SSMS), SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), SQL Server Analysis Services (SSAS) and PowerShell
Fabric, PowerBI experience
Collaborative, curious, think outside of the box
Bachelor’s in relevant field
5+ years experience in law firm, corporate legal department, professional services, particularly within an innovation or KM function
Azure Data Factory, Azure Data Lake Storage, Azure SQL Data Warehouse
Experience in leveraging automation and AI-related technologies, such as Machine Learning and LLMs, to drive innovation in legal services

Benefits/Other Compensation

Comprehensive medical (PPO and HDHPs), dental and vision plans including coverage for domestic partners; life and AD&D insurance; short and long term disability insurance; tax-advantaged accounts for health care expenses, including FSAs and HSAs; FSAs for dependent care; health advocacy services; behavioral health and counseling resources for all family members; 401(k); profit sharing; backup dependent care; senior care planning support; resources for individuals with development disabilities and their caregivers; and paid holidays and other paid time off, including paid leave for new parents.

Why Hays?

You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there’s a position you really want, you’re fully prepared to get it.

Nervous about an upcoming interview? Unsure how to write a new resume?

Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.

Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays’ guiding principles is ‘do the right thing’. We also believe that actions speak louder than words. In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.

In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text 813.336.5570.

Drug testing may be required; please contact a recruiter for more information.

#1187498 - Priyanka Kumari

Apply on hays.com About employer

More about this job

Skills

Data warehouse
Data analysis
Computer technology
Business processes
Databricks
Data management
Database administration
Data engineering
Microsoft SQL Server
SQL Server Integration Services
Reporting
Microsoft PowerShell
Microsoft Power BI
Microsoft Azure Data Factory
Microsoft Azure
SQL
Machine learning

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Work requirements

Jobs in the United States