business analytics and recognition data analyst

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business analytics and recognition data analyst Jobs in Tampa

data analyst

data engineer

data scientist

The DarkStar Group

<div>What You&rsquo;ll Be Doing:
We are seeking a senior-level Data Scientist to develop and operationalize advanced analytic solutions that directly enhance intelligence production and mission effectiveness. In this role, you will design and deploy Python-based solutions and analytic pipelines that integrate structured and unstructured data from multiple sources, including web APIs and enterprise repositories. You will create solutions, interactive dashboards, and analytic interfaces that improve analytic rigor, transparency, and reproducibility. Your work will modernize legacy workflows to ensure reliability, scalability, and maintainability in high-consequence environments.

What You Have to Have:
<ul><li>Active TS/SCI Clearance is required with the ability to obtain a CI Poly. 10+ years of relevant experience. (A combination of years of experience &amp; professional certifications/trainings/degree can be used in lieu of the years of experience requirement)
</li><li>Senior-level proficiency in Python with demonstrated experience in designing mission ready solutions.
</li><li>Experience querying and integrating web APIs through Python to retrieve, normalize, and operationalize data.
</li><li>Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or comparable tools.
</li><li>Experience building dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or similar platforms.
</li><li>Strong SQL skills and experience querying relational databases.
</li><li>Experience using Git-based version control platforms such as GitLab or GitHub.
</li><li>Proficiency with geospatial processing frameworks such as GDAL or ArcPy.
</li><li>Proficiency with GIS desktop software such as ArcGIS Pro or QGIS.
</li><li>Ability to write clear, concise technical documentation related to software systems and automated workflows.
</li><li>Ability to operate independently at a senior level with limited oversight.
</li><li>Familiarity with USSOCOM and broader U.S. military organizational structures.
</li><li>Familiarity with common Intelligence Community (IC) data repositories.
</li></ul>#LI-GM1</div>

Data Scientist

Gerdau North America

<div>
 
 At Gerdau, we empower our people to grow, thrive, and make a difference&mdash;together. With a culture built on trust and teamwork, we offer meaningful work, continuous development, and opportunities to shape your future. We invite you to come work with us, where your contributions are valued, your voice is heard, and your career is forged with purpose
 
 
 
 
 Location:
 
 Tampa, FL
 
 
 
 Job Summary:
 
 We seek a highly skilled and motivated Data Scientist / Analyst to join our Supply Chain business unit. The successful candidate will be crucial in leveraging data to improve timely business decisions and implement AI solutions across Sales and Operations Planning, Fulfillment, and Logistics.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Collect, analyze, and interpret large datasets to identify trends, patterns, and insights that drive business decisions.
 </li>
 <li>
 Develop and implement data models, algorithms, and AI solutions to optimize supply chain processes and improve operational efficiency.
 </li>
 <li>
 Collaborate with cross-functional teams, including marketing, IT, and customer service, to ensure seamless data integration and alignment with business goals.
 </li>
 <li>
 Create and maintain dashboards and reports for real-time visibility into key performance metrics and operational insights.
 </li>
 <li>
 Conduct data-driven analysis to support strategic initiatives and identify opportunities for process improvements.
 </li>
 <li>
 Work closely with stakeholders to understand business requirements and translate them into actionable data insights and AI solutions.
 </li>
 <li>
 Stay up to date with the latest advancements in data science, AI, and supply chain management to continuously enhance our capabilities.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or master&rsquo;s degree in data science, Computer Science, Statistics, Supply Chain Management, or a related field.
 </li>
 <li>
 Proven experience as a Data Scientist or Data Analyst, preferably in a supply chain or logistics environment.
 </li>
 <li>
 Strong proficiency in data analysis tools and programming languages like Python, R, SQL, and data visualization tools like Tableau or Power BI.
 </li>
 <li>
 Experience with machine learning algorithms, AI frameworks, and statistical modeling techniques.
 </li>
 <li>
 Excellent problem-solving skills and the ability to work with complex datasets to derive meaningful insights.
 </li>
 <li>
 Strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
 </li>
 <li>
 Ability to manage multiple projects and prioritize tasks in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Experience with supply chain management systems and ERP software.
 </li>
 <li>
 Knowledge of advanced analytics techniques and predictive modeling.
 </li>
 <li>
 Familiarity with cloud-based data platforms and big data technologies.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and performance-based bonuses.
 </li>
 <li>
 Comprehensive health, dental, and vision insurance.
 </li>
 <li>
 Retirement savings plan with company match.
 </li>
 <li>
 Professional development opportunities and continuous learning.
 </li>
 <li>
 Collaborative and inclusive work environment.
 
 
 </li>
 </ul>
 
 Gerdau believes in equal employment opportunity related to all employees and applicants for employment. It is the policy of Gerdau that there will be no discrimination against any employee or applicant for employment on the basis of race, religion, color, national origin, citizenship, marital status, sex, age, sexual orientation, genetic information, gender identity, veteran status, disability, or other legally protected status. All external applicants must be legally eligible to immediately work in the country of hire without current or future sponsorship.
 
 
 
 
 If you are vision-impaired or have some other disability under the Americans with Disabilities Act / Accessible Canada Act or a similar law, and you wish to discuss potential accommodations related to applying for employment at Gerdau, please contact our Talent Acquisition Team at (866)-788-2798 or recruiting@gerdau.com
 
 
 
</div>

Data Analyst

MANTECH

<div>
 MANTECH seeks a motivated, career and customer-oriented Data Engineer to join our Data and AI Practice onsite in Tampa, FL. In this role, you will design, develop, and implement data science capabilities to achieve client mission goals. You will collaborate with a team of data analysts, data scientists, and data architects to leverage AI, data science, and data analytics to deliver client solutions. The ideal candidate will have solid data engineering skills and a client-oriented approach to applying technology to develop mission-ready data products that accelerate operational decision-making, enhance situational awareness, and improve mission effectiveness.
 
 
 
 Responsibilities Include But Are Not Limited To
 
 
 
 <ul>
 <li>
 Design, build, and maintain data pipelines and ETL processes to support data science and analytics initiatives, utilizing tools like SQL and big data technologies.
 </li>
 <li>
 Develop and implement ETL processes to extract, transform, and load data from various source systems into target repositories (data warehouses, Data Lakes, etc.).
 </li>
 <li>
 Integrate national intelligence feeds, sensors, and open-source information into a unified data layer.
 </li>
 <li>
 Ensure data quality, integrity, and compliance with security protocols throughout the data lifecycle.
 </li>
 <li>
 Design appropriate data models based on requirements and assist in the development and maintenance of data warehouses.
 </li>
 <li>
 Optimize data pipeline architecture for performance, scalability, and mission-critical analysis.
 </li>
 <li>
 Identify, design, and implement internal process improvements, including automation and infrastructure redesign. Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree (BA/BS) in a field such as Information Technology, Cybersecurity, or Computer Science and at least 4myears of hands-on experience in data engineering or related roles.
 </li>
 <li>
 Experience developing and optimizing 'big data' data pipelines, architectures, and data sets for use in analysis
 </li>
 <li>
 Proficiency in SQL or other industry-standard data manipulation languages.
 </li>
 <li>
 Demonstrated ability with data integration and ETL tools and concepts (e.g., Informatica, Talend, Apache NiFi).
 </li>
 <li>
 Experience implementing data quality controls.
 </li>
 <li>
 Experience with scalable infrastructure (e.g., cloud platforms, distributed systems) for processing and storing large amounts of data.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Information Technology, Cybersecurity, Computer Science, or related field.
 </li>
 <li>
 Experience with cloud-based data platforms (e.g., Advana or Palantir Foundry)
 </li>
 <li>
 Experience with data visualization tools (e.g., Power BI).
 </li>
 <li>
 Professional certifications (e.g., AWS Certified Data Analytics, CompTIA Security+).
 </li>
 <li>
 Experience at a DoD Combatant Command
 
 
 </li>
 </ul>
 
 Clearance Requirements
 
 
 
 <ul>
 <li>
 Must possess a current and active TS with SCI Eligibility
 
 
 </li>
 </ul>
 
 Physical Requirements
 
 
 
 <ul>
 <li>
 Must be able to be in a stationary position more than 50% of the time
 </li>
 <li>
 Constantly operates a computer and other office productivity machinery, such as a computer
 </li>
 <li>
 The person in this position frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations
 </li>
 <li>
 The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
 </li>
 </ul>
</div>

Data Engineer

Lumen Resources

<div>
 
 We&rsquo;re looking for a Machine Learning Engineer who thrives in fast-moving, high-impact environments and can deploy ML models in production environments. (3 days onsite)
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning solutions that support data-driven products and intelligent applications.
 </li>
 <li>
 Build scalable pipelines to collect, process, and prepare large datasets for model training and evaluation.
 </li>
 <li>
 Develop and optimize machine learning models for tasks such as classification, prediction, recommendation, or natural language processing.
 </li>
 <li>
 Integrate models into production systems through APIs, microservices, or cloud-based infrastructure.
 </li>
 <li>
 Collaborate with software engineers, data teams, and product stakeholders to deliver end-to-end AI solutions.
 </li>
 <li>
 Monitor model performance in production environments and implement improvements to ensure reliability, accuracy, and scalability.
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Experience designing and deploying machine learning models in production environments.
 </li>
 <li>
 Strong programming skills in Python and familiarity with common machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
 </li>
 <li>
 Experience building data pipelines and working with large datasets using modern data processing tools.
 </li>
 <li>
 Understanding of model evaluation techniques, feature engineering, and performance optimization.
 </li>
 <li>
 Experience integrating machine learning systems into applications using APIs or cloud-based services.
 </li>
 <li>
 Familiarity with containerization, version control, and modern development workflows.
 </li>
 </ul>
 
 
 
 
 Join us at Lumen Resources, where your expertise will contribute to our growth, and you'll have the opportunity to have fun and thrive alongside a dynamic group of professionals. Apply today and become a part of our exciting journey!
 
 
 
 
 
 
 Lumen Resources:
 
 
 
 
 
 
 At Lumen Resources you will be partnering with trained recruiters who will guide you through discovering a brighter future. Our recruiters are concise and efficient in all interactions, hold exceptional communication, and will support resume writing and interview preparation, so you can land any position you want!
 
 
 
 
 
 If this role doesn&rsquo;t align with what you are looking for, we have a host of clients with roles that could be a match. Feel free to reach out to connect with one of our team members at info@lumenresources.com1
 
 
 
 
 
 Lumen Resources is an Equal Opportunity Employer
 
 
 Don't hesitate to get in touch with our team for more information
 
</div>

Machine Learning Engineer

Vantor

<div><h2 class="jobSectionHeader">Please review the job details below.</h2>
This position requires an active U.S. Government Security Clearance at the TS/SCI level.
This opportunity supports USSOCOM J39 in advancing its Operations in the Information Environment (OIE) capabilities through integrated analytics, knowledge management, and strategic planning. The effort is focused on solving a critical operational gap: the absence of a centralized capability to effectively manage global information operations data, partner nation SOF knowledge, and trans-regional planning across multiple classification domains.
As an expansion of support to an established USSOCOM customer, this work enables improved synchronization of information operations, enhanced decision-making, and greater alignment across Combatant Commands, interagency partners, and allied networks. The program will deliver mission-critical insights and coordination mechanisms to strengthen influence operations and operational effectiveness in complex, globally distributed environments.
Minimum Qualifications:<ul><li>
Active TS/SCI clearance</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Statistics, Data Science, Sociology, Psychology, or related field</li><li>
5+ years of experience applying quantitative methods to social or behavioral data</li><li>
Proficiency in statistical tools (R, Python, SPSS, STATA)</li><li>
Experience designing and analyzing surveys, sentiment analysis, or influence metrics</li><li>
Ability to translate complex data into actionable insights for operational planners</li></ul>
Preferred Qualifications:
<ul><li>Experience supporting MISO, IO, or influence campaigns</li><li>
Familiarity with A/B testing, experimental design, and causal inference</li><li>
Experience working in fusion cells or ISR environments</li><li>
Knowledge of information environment analytics and narrative tracking</li><li>
Advanced degree (PhD preferred for senior roles)</li></ul>
In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate&rsquo;s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.
The base pay for this position ranges from our lowest geographic market up to our highest geographic market within California, Colorado, District of Columbia, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York, and Washington:$97,000.00 - $205,000.00 annually.
We offer a comprehensive package of benefits including paid time off, health and welfare insurance, and 401(k) to eligible employees. You can find more information on our benefits at: https://www.vantor.com/careers
The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.
The date of posting can be found on Vantor's Career page at the top of each job posting.
To apply, submit your application via Vantor's Career page.
Vantor values diversity in the workplace and is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.</div>

Social Science Statistical Analyst

McKim & Creed, Inc.

<div>
 
 Position Overview
 
 
 
 As a Corporate AI Specialist, you will develop and implement AI driven solutions to optimize engineering workflows, enhance predictive modeling, and improve decision-making across the enterprise. You&rsquo;ll collaborate with IT leadership, engineers, surveyors, project managers and corporate team members to bring intelligent automation and data insights into real-world applications. These applications will be both internal and external client facing. This position can be located in either our Raleigh or Tampa office locations.
 
 
 
 What To Expect Day-to-day
 
 
 
 
 AI Solution Development &amp; Implementation
 
 
 
 <ul>
 <li>
 Quickly develop, prototype, and implement selected project ideas
 </li>
 <li>
 Develop a toolbox of AI tools that can be used to create AI-based agents and applications
 </li>
 <li>
 Develop client-facing AI tools and workflows that can be integrated into project delivery
 
 
 </li>
 </ul>
 
 Platform Integration &amp; Technical Enablement
 
 
 
 <ul>
 <li>
 Integrate AI tools with BIM (Building Information Modeling) and GIS platforms
 </li>
 <li>
 Ensure compatibility of AI solutions with operational systems like SCADA, telemetry, CMMS, and CAD workflows
 </li>
 <li>
 Analyze large datasets from sensors, drones, and IoT devices to inform engineering decisions
 </li>
 <li>
 Work with internal technical teams to enable cloud-based and on-premise deployment pipelines
 </li>
 <li>
 Communicate with team members about how selected AI tools may be applied to specific problems
 
 
 </li>
 </ul>
 
 Strategic Collaboration &amp; Prioritization
 
 
 
 <ul>
 <li>
 Collaborate with cross functional teams to identify AI opportunities across disciplines
 </li>
 <li>
 Partner with leadership to prioritize the AI project backlog in alignment with business goals
 </li>
 <li>
 Stay current with AI trends, tools, and use cases relevant to engineering and infrastructure
 </li>
 <li>
 Assess cost-benefit of AI investments and maintain a roadmap of high-value initiatives
 
 
 </li>
 </ul>
 
 Education, Communication &amp; Knowledge Sharing
 
 
 
 <ul>
 <li>
 Deliver Lunch &amp; Learn sessions to organization staff about AI tools, workflows, and progress
 </li>
 <li>
 Share initiative updates via presentations, emails, and dashboards for transparency and adoption
 </li>
 <li>
 Document tool usage guides and deployment steps for reusability and handoff
 </li>
 <li>
 Translate complex AI concepts into business and engineering-relevant terms
 </li>
 <li>
 Advocate for AI adoption through demos, internal showcases, and pilot programs
 </li>
 <li>
 Collaborate with the Innovation Team as part of the 2030 Strategic Plan.
 
 
 </li>
 </ul>
 
 What You'll Need
 
 
 
 <ul>
 <li>
 US Citizenship
 </li>
 <li>
 Demonstrated experience with AI development tools, data analytics and workflow automation tools in real-world applications
 </li>
 <li>
 Strong problem-solving skills and ability to collaborate across teams
 </li>
 <li>
 Familiarity with engineering or infrastructure-related software (e.g., AutoCAD, Revit, Bluebeam, Adobe Acrobat)
 </li>
 <li>
 Hands-on experience with programming or scripting languages (e.g., Python, R, MATLAB)
 </li>
 <li>
 Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud)
 </li>
 <li>
 Comfortable working with large datasets and integrating tools into existing business processes
 </li>
 <li>
 Ability to communicate technical concepts to non-technical stakeholders
 </li>
 <li>
 Demonstrated ability to train, coach, or onboard others on new tools and workflows
 </li>
 <li>
 Active listener who can gather user needs, ask clarifying questions, and develop relevant solutions
 </li>
 <li>
 Familiarity with databases, data modeling, and platforms such as Power BI
 </li>
 <li>
 Awareness of system-level security principles in the context of digital tools or connected infrastructure
 </li>
 <li>
 Some overnight travel may be required
 </li>
 <li>
 Must have a valid driver&rsquo;s license and an acceptable motor vehicle record and be eligible for work in the United States
 
 
 </li>
 </ul>
 
 What Will Make You Stand Out
 
 
 
 
 Technical &amp; Domain Expertise
 
 
 
 <ul>
 <li>
 Understanding of CAD/BIM workflows and opportunities for AI enhancement
 </li>
 <li>
 Exposure to CMMS/EAMS or asset lifecycle management platforms
 </li>
 <li>
 Integration of GIS platforms (e.g., Esri), spatial modeling, or site analytics
 </li>
 <li>
 Experience optimizing document review and markup workflows (Bluebeam, Adobe)
 </li>
 <li>
 Proficiency in developing or integrating AI/ML applications into cloud or hybrid environments
 </li>
 <li>
 Familiarity with anomaly detection or cybersecurity standards (especially for OT systems)
 </li>
 <li>
 Experience building or supporting internal decision-support tools for engineering teams
 </li>
 <li>
 Working knowledge of sustainability, operational efficiency, or infrastructure benchmarking
 
 
 </li>
 </ul>
 
 Communication &amp; Collaboration
 
 
 
 <ul>
 <li>
 Skilled at translating complex AI/ML concepts into accessible, user-friendly formats
 </li>
 <li>
 Experience facilitating internal training or Lunch &amp; Learn sessions
 </li>
 <li>
 Strong documentation and storytelling capabilities (proposals, internal reports, or briefings)
 </li>
 <li>
 Comfortable presenting to diverse audiences, including clients, engineers, and senior leadership
 
 
 </li>
 </ul>
 
 Project Execution &amp; Innovation
 
 
 
 <ul>
 <li>
 Demonstrated ability to identify scalable, repeatable AI use cases
 </li>
 <li>
 Comfortable working independently and within cross-disciplinary teams
 </li>
 <li>
 Ability to prioritize tasks across multiple concurrent initiatives
 </li>
 <li>
 Familiarity with agile/iterative development approaches or fast prototyping cycles
 </li>
 <li>
 Passion for learning, testing new technologies, and tracking infrastructure trends
 
 
 </li>
 </ul>
 
 WHAT WE OFFER:
 
 Join a company that puts its employees first.
 
 
 Ranked As One Of The Best Firms To Work For, Here Are Just Some Of The Reasons To Become Part Of The McKim &amp; Creed Team
 
 
 <ul>
 <li>
 Employee Stock Ownership Plan (ESOP): All employees are owners &amp; benefit from profits earned.
 </li>
 <li>
 Competitive pay paid holidays, bereavement, and parental, medical, and military leave
 </li>
 <li>
 Multiple office locations to work from: Stick close to home or travel for a change of scenery.
 </li>
 <li>
 Growth opportunities &amp; training: Grow confidently in your career with our mentoring &amp; training options.
 </li>
 <li>
 Professional development: Tuition reimbursement, early career professional program, online courses &amp; more
 </li>
 <li>
 Work that makes a difference: See the direct impact your work has on our communities.
 </li>
 <li>
 Collaborative, supportive team: People to help you solve problems, cheer successes &amp; encourage you along the way.
 
 
 </li>
 </ul>
 
 McKim &amp; Creed is an Equal Opportunity and Affirmative Action Employer, and VEVRAA Federal Contractor and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status and maintains a Drug Free Workplace.
 
 
 
 and improve decision-
</div>

Corporate AI Specialist

Suncoast Credit Union

<div>Overview:
<div>
Compensation: $105,000 - $150,000 annually based on experience and credentials</div><div>
Location Type: Remote (candidate must reside in FL) 
Position Type: Full Time</div><div></div><div> 
The Data Engineering Manager will oversee the credit union's data engineering team, ensuring the design, evaluation, and testing of robust data infrastructures. This role involves managing the daily operations of the data engineering team, coordinating with various departments to meet data needs, and implementing best practices for data management and infrastructure. The manager will foster a culture of innovation, collaboration, and continuous improvement within the team to support the organization's strategic goals. Additionally, the manager will assign work and delegate responsibilities to staff, monitoring progress to ensure goals are met and high-quality member service is maintained.</div>
Responsibilities:
<ul><li>Manage the daily operations of the data engineering team, fostering a culture of innovation, collaboration, and continuous improvement.</li><li>
Manages the Credit Union's data infrastructure to develop operational data pipelines</li><li>
Guide the team in utilizing Azure Data Factory to create pipelines, tuning databases and ETL for maximum performance, performing data profiling, cleansing, and auditing, architecting advanced data solution</li><li>
Supervise the design and development of ETL processes for extracting data from multiple source systems, transforming it, and loading it into data platforms</li><li>
Leverages the Agile framework to prioritize and complete ad hoc and department-related tasks</li><li>
Leverage existing data infrastructure to fulfill data-related requests, perform data housekeeping,cleansing, normalization, hashing, and implement required data model changes</li><li>
Oversee the deployment of data architectures based on standards set by the manager to drive Suncoast's data strategy and transform business strategies into information architectures.</li><li>
Provides technical assistance to end-users and technical staff regarding system and reporting issues.
</li><li>Inform end-users and technical support staff on data warehouse applications and reporting services.</li><li>
Review and recommend new methods or procedures to make daily operations more efficient</li><li>
Perform considerable short-term planning, scheduling, and coordinating to develop and implement business objectives</li><li>
Set goals for assigned teams to achieve operational and strategic results</li><li>
Provide guidance, mentoring, and development opportunities for directly reporting staff</li><li>
Cultivate strong working relationships, build trust among team members, and respond appropriately to employees' concerns</li><li>
Assist with the development, monitoring, and maintenance of the annual budget</li><li>
Assist with regulatory compliance to ensure work is completed in accordance with applicable laws and government regulations</li><li>
Maintain knowledge and understanding of current trends, laws, and issues affecting area of expertise</li><li>
Attend educational events to increase professional knowledge</li><li>
Complete annual compliance and info security training to understand employees' role in maintaining effective compliance and security programs</li></ul>
Qualifications:
<ul><li>Bachelor&rsquo;s degree in computer science, data science, information technology, information systems, engineering, mathematics or a related field required.</li><li>
5 or more years progressively responsible experience in data engineering, preferably with a financial institution. Previous supervisory experience required.</li><li>
Advanced technical skills including SQL DW, SSRS, PowerBI, and other data visualization software knowledge required.</li><li>
Proficient knowledge of Azure or Apache Spark required</li><li>
Proficiency in SQL, Python, Delta Lake, Azure Data Factory, and other relevant technologies</li><li>
Skills in using Databricks Unity Catalog for data management and proficiency in writing and managing Databricks notebooks</li><li>
A solid understanding of Blob / Data Lake Storage.</li><li>
Excellent organization, prioritization and analytical skills to effectively manage areas of responsibility and attain organizational goals</li><li>
Excellent written, verbal, and interpersonal communication skills to interact effectively with members, staff, vendors, and government regulators</li><li>
Ability to analyze and resolve complex problems or situations</li><li>
Ability to positively influence others regarding policies, practices, and procedures</li><li>
Strong knowledge and understanding of credit union products, services, policies, and procedures preferred</li><li>
Strong knowledge and understanding of regulatory compliance</li><li>
Strong knowledge and understanding of credit union computer systems and software applications required to perform job duties preferred</li></ul><div> 
Benefits</div><ul><li>
Financial Well-Being: Bonus Program up to 18%, 401K Matching up to 8%, Retirement Planning, Pay Increases based on Competency, Employee Loan Discounts, Flex Spending Accounts</li><li>
Wellness: Medical Coverage, Dental and Vision Coverage, Access to 4,000+ Gyms, Mental Health Resources, PTO Wellness Days, Short Term and Long Term Disability Coverage</li><li>
Work-Life Balance: 11 Paid Holidays, 3 weeks of Paid Time Off, 4 weeks of Paid Parental Leave, Birthday PTO</li><li>
Community Involvement: Paid Volunteer Hours</li><li>
Growth: Degree Assistance up to $5,000 per year</li></ul><div>
For more information, including additional benefits, please visit our benefits website at https://careers.suncoastcreditunion.com/benefits</div><div></div><div> 
Company Overview</div><div>
Suncoast Credit Union is consistently chosen as a Tampa Bay Times Top Workplace because its employees genuinely #LOVEWORK! Employees flourish in an inclusive culture celebrating growth and prioritizing the community. 
For more information, please visit our careers site at https://careers.suncoastcreditunion.com/</div></div>

Manager of Data Engineering

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