Tampa, FL

Data Jobs in Tampa, FL

11 jobs found

Include remote jobs

15d ago

Senior Data Engineer

Brooksource Tampa, FL

Tampa, FL

15d ago

$70 - $75/hr Full time Senior Cloud Cloud Operations

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Job Description

Overview

As a senior member of the data engineering team, you will drive the architecture and delivery of scalable data systems that support analytics, reporting, and strategic decision making. The position emphasizes technical leadership and hands on work with SAP data integration within hybrid cloud environments.

Responsibilities

Design and implement robust data pipelines, models, and ingestion frameworks to enable advanced analytics and machine learning.
Build and maintain scalable data infrastructure on cloud platforms such as Azure, AWS, or GCP.
Incorporate SAP data sources into enterprise data platforms for comprehensive reporting and analysis.
Maintain data integrity, reliability, and performance across multiple systems and applications.
Lead efforts to reduce data redundancy and establish single sources of truth through effective data modeling and integration.
Act as the technical lead on cross functional data initiatives, guiding design choices to align with business goals.
Collaborate with developers, analysts, and business stakeholders to translate requirements into scalable data solutions.
Supervise database upgrades, migrations, and performance optimization activities.
Develop and enforce standards for data governance, security, and lifecycle management.
Mentor junior data engineers and analysts, sharing best practices and technical growth.
Evaluate emerging technologies and recommend adoption strategies to enhance data capabilities.
Create training materials and documentation to support team development and knowledge sharing.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
6-8+ years of experience in data engineering, database administration, or related roles.
Advanced proficiency in SQL and programming languages such as Python or R.
Expertise in relational and NoSQL databases (for example Oracle, SQL Server, MongoDB).
Strong experience with cloud data platforms (Azure, AWS, GCP) and tools (Snowflake, Databricks).
Experience integrating and analyzing data from SAP systems (such as SAP HANA, SAP BW, SAP ECC).
Proven ability to lead technical projects and mentor team members.

Technologies

SQL
Python
R
Oracle
SQL Server
MongoDB
Azure
AWS
GCP
Snowflake
Databricks
SAP HANA
SAP BW
SAP ECC

Benefits

Dental insurance
Health insurance
Vision insurance

Location

Tampa, Florida, onsite.

Pay

USD 70.00 - 75.00 per hour

Team Environment

The role involves collaboration with IT architects, developers, and strategic planners, as well as business stakeholders, project managers, contractors, consultants, and vendors supporting utility operations.

Core Values

Champion innovation and continuous improvement
Drive operational excellence and customer value
Uphold safety, integrity, and strategic thinking

Soft Skills

Strategic thinker with strong problem solving abilities
Excellent communication and leadership capabilities
Ability to manage multiple priorities and deliver results in a fast paced environment

Qualifications

Required: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field
Required: 6-8+ years of experience in data engineering, database administration, or related roles
Required: Advanced proficiency in SQL and programming languages such as Python or R
Required: Expertise in relational and NoSQL databases (e.g., Oracle, SQL Server, MongoDB)
Required: Strong experience with cloud data platforms (Azure, AWS, GCP) and tools (Snowflake, Databricks)
Required: Experience integrating and analyzing data from SAP systems (e.g., SAP HANA, SAP BW, SAP ECC)
Required: Proven ability to lead technical projects and mentor team members
Preferred: Experience in the utility industry or similar regulated environments
Preferred: Familiarity with big data technologies and distributed computing frameworks
Preferred: Knowledge of data governance, compliance, and audit practices

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21d ago

CMDB Data Engineer

Leidos Tampa, FL

Tampa, FL

21d ago

$108k - $195k/yr Full time Manager CMDB Data Analysis

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Job Description

Leidos is seeking a CMDB Data Engineer to serve as the technical Subject Matter Expert for CMDB while leading a team as a Deputy Program Manager on the USCENTCOM CITS contract. This onsite role in Tampa, FL centers on maintaining CMDB accuracy and delivering data-driven insights to support enterprise IT operations. Compensation ranges from USD 107,900 to 195,050 per year.

Responsibilities

Deputy Program Management: Support the Program Manager with contract execution, strategic planning, resource allocation, and risk management.
Customer Engagement: Act as a secondary point of contact for USCENTCOM leadership and stakeholders, stepping in as PM when needed to ensure seamless program delivery.
People Leadership: Directly supervise a team of IT and data professionals, conducting performance evaluations, career development planning, mentoring, and approving timecards and leave.
Staffing & Onboarding: Oversee hiring, interviewing, and onboarding to maintain a highly skilled workforce.
Program Reporting: Assist in evaluating contracts, managing program budgets or resource forecasts, and clearly communicating insights, risks, and plans to cross-functional teams and senior management.
CMDB Management: Ensure CMDB accuracy while adhering to standard operating procedures within enterprise processes.
Data Analysis: Analyze data and research issues using SQL and other query tools.
CI Lifecycle Management: Manage the lifecycle of Configuration Items (IT services and assets) from deployment to decommission.
Problem Solving: Break down complex problems into practical, actionable solutions.
Data-driven Stakeholder Communication: Proactively analyze data to answer key questions and share findings to drive performance among stakeholders.
CI Metrics: Define and document configuration item metrics across their lifecycle.
Data Requirements & Quality: Gather information from multiple stakeholders to specify and validate business reporting or data extracts using data mapping and data quality techniques.
Process Improvement: Evaluate business processes, anticipate requirements, identify improvement opportunities, and develop data-driven solutions using analysis and profiling.
CM Procedures & Compliance: Establish and develop overarching Configuration Management procedures and compliance standards, defining responsibilities, authorities, and plan approval levels.

Requirements

Bachelor’s degree in Information Technology, Business Administration, or a related field is preferred, with at least 8 years of relevant experience in data analysis, data science, configuration management, or related IT programs.
Active TS/SCI clearance required.
Program & People Management: 3+ years in a supervisory role managing technical personnel and assisting with program/project management tasks.
5+ years of experience in Configuration Management.
5+ years with ServiceNow, including CMDB administration and integration.
Proven ability to ensure quality, accuracy, and usability of the ServiceNow CMDB.
Ability to collaborate with ServiceNow Administrators.
Experience configuring and integrating discovery tools and Sensors with the ServiceNow CMDB to import data from authoritative sources while preserving data integrity.
Experience or participation in data normalization efforts prior to CMDB ingestion.
Ability to perform routine CMDB data audits.
Experience working with internal and external stakeholders to understand product demand and manage CMDB and platform data requirements.

Technologies

SQL
ServiceNow
CMDB

Benefits

Competitive compensation
Health and Wellness programs
Income Protection
Paid Leave
Retirement

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21d ago

Data Engineer - MDM

Philip Morris International U.S. Tampa, FL

Tampa, FL

21d ago

$88k - $110k/yr Full time Analytics Data Analytics Data Architecture

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Job Description

Responsibilities

Uphold data quality and regulatory alignment by applying MDM and data governance concepts to ensure master data remains relevant, secure, and compliant.
Define platform requirements for the MDM program, detailing needs for frameworks and tools such as Profisee, Informatica, and Reltio, and promote adoption across teams.
Collaborate with data modelers, governance leads, and business stakeholders to design and model core master data entities.
Develop, test, deploy, and evolve data curation and publishing capabilities on the data platform, delivering high-quality, standardized, and harmonized data domains for advanced analytics and operational use cases.
Work closely with Architecture, Data Engineering, Data Governance, Product Management, Delivery, and Data Management Services to curate ingested source data across multiple sources, performing cleansing, validation, standardization, harmonization, and transformation for a single enterprise view.
Partner with Data Governance and BI teams to lead the engineering and implementation of the master data solution and services, ensuring accountability across the organization.
Lead MDM initiatives to establish a single source of truth, ensuring consistency and accessibility across business domains.
Apply MDM and governance concepts to business problems, lead workshops, gather requirements, and assess readiness for governance strategies.
Advance automation and CI/CD for the MDM platform and participate in peer code reviews to improve delivery quality.
Provide direction to vendor staff within the engineering domain to monitor the quality and output of MDM-related work.

Requirements

Bachelor’s degree in Engineering, Information Management, or Information Technology.
At least five years of end-to-end MDM engineering experience, with hands-on work using MDM tools such as Profisee, SAP MDG, Informatica, and Reltio, and data platforms like Snowflake and Azure SQL Database.
Knowledge of standard master data domain models such as Product, Customer, Finance, and Reference Data.
Strong SQL skills and experience building ETL/ELT pipelines on cloud platforms like Azure Data Factory or Matillion.
Authorized to work in the United States.
Ability to commute to Tampa, Florida.

Technologies

Profisee
SAP MDG
Informatica
Reltio
Snowflake
Azure SQL Database
SQL
Azure Data Factory
Matillion

Benefits

Competitive base salary
Annual bonus eligibility
Medical, dental, and vision coverage
401(k) with generous company match
Wellness benefits
Commuter benefits
Pet insurance
Generous paid time off
Hybrid work model promoting flexibility
Inclusive, diverse culture
Global business with advancement opportunities
Contribution to a smoke-free future

About the Role

In the Data Enablement track, you will serve as the primary point of contact for all aspects of data engineering within the MDM domain. The role carries end-to-end engineering accountability, translating technology and business needs into technical designs, and implementing data pipelines that meet requirements with a focus on timely, cost-conscious delivery and high-quality results.

Work Location

Onsite in Tampa, Florida.

Annual Base Salary Range

$88,000 - $110,000 per year.

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1mo ago

Data Engineer

Citi Tampa, FL

Tampa, FL

1mo ago Closed

$142k - $213k/yr Full time Apache Airflow AWS Aws Glue

This position is no longer accepting applications (closed Jul 3, 2026).

Job Description

Citi seeks a Data Engineer to contribute to the design, development, and deployment of new or revised application systems and programs within the Technology organization, participating in applications analysis and programming activities.

Location

Tampa, Florida (onsite)

Compensation

USD 142,320 - 213,480 per year

Responsibilities

Lead feasibility assessments, cost and time estimation, IT planning, risk considerations, and applications development to deliver systems aligned with business needs.
Oversee all phases of the development lifecycle from analysis and design through construction, testing, and deployment, while providing user and operations support.
Apply deep expertise in applications development to analyze complex problems, evaluate business processes and system workflows, and make informed judgments.
Propose and implement security measures during post-implementation reviews to ensure robust system design and functionality.
Consult with users and other technology teams to address issues, propose advanced programming solutions, and assist with customer exposure systems.
Ensure adherence to core procedures and contribute to the definition of operating standards and processes.
Serve as a mentor or coach to newer or junior analysts as needed.
Operate with limited direct supervision and demonstrate independence of thought and initiative.
Act as a subject matter expert to senior stakeholders and team members, guiding technical decisions.
Assess risk in business decisions with attention to Citigroup's reputation, regulatory compliance, and ethical standards, escalating control issues transparently when necessary.

Qualifications

5 to 8 years of relevant experience in data engineering or related fields.
Experience in systems analysis and programming of software applications.
Proven track record managing and delivering successful projects.
Working knowledge of consulting and project management methodologies and techniques.
Ability to work under pressure and manage changing deadlines or requirements.
Bachelor’s degree or equivalent experience.

Technologies

AWS Glue
AWS Athena
Airflow
Snowflake
MongoDB
Oracle
PostgreSQL
Unix shell scripting
Python
PySpark
AbInitio (EME, GDE, Co-op)

Benefits

Discretionary and formulaic incentive and retention awards
Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages (vacation, sick leave, and paid holidays)

Job Family Group

Technology

Job Family

Applications Development

Time Type

Full time

Anticipated Posting Close Date

Jun 9, 2026

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1mo ago

Associate Data Engineer

Baker Tilly Advisory Group, LP Tampa, FL

Tampa, FL

1mo ago Closed

$86k - $163k/yr Full time Analytics Azure Azure Data Factory

This position is no longer accepting applications (closed Jul 2, 2026).

Job Description

Associate Data Engineer role in Tampa, FL (onsite) focused on designing, building, and optimizing modern data solutions for mid-market and enterprise clients using the Microsoft stack (Azure, Synapse, Fabric).

Responsibilities

Develop scalable, well documented ETL/ELT pipelines using T-SQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks; apply best practice patterns for performance, security, and cost control.
Design relational and lakehouse models; create Fabric OneLake shortcuts, medallion style layers, and dimensional/semantic models for Power BI.
Build automated data quality checks, lineage, and observability metrics; contribute to CI/CD workflows in Azure DevOps or GitHub.
Gather requirements, demo iterative deliverables, document technical designs, and translate complex concepts to non-technical audiences.
Research new capabilities, share findings in internal communities of practice, and contribute to reusable accelerators; collaborate with clients and internal stakeholders to design scalable data engineering solutions.

Requirements

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience)
2–3 years delivering production data solutions, preferably in a consulting or client-facing role
Strong T-SQL for data transformation and performance tuning
Python for data wrangling, orchestration, or notebook-based development
Hands-on ETL/ELT with at least one Microsoft service (Azure Data Factory, Synapse Pipelines, Fabric Data Pipelines)
Project experience with Microsoft Fabric (OneLake, Lakehouses, Data Pipelines, Notebooks, Warehouse, Power BI DirectLake) preferred
Familiarity with Databricks, Delta Lake, or comparable lakehouse technologies preferred
Exposure to DevOps (YAML pipelines, Terraform/Bicep) and test automation frameworks preferred
Experience integrating SaaS/ERP sources (e.g., Dynamics 365, Workday, Costpoint) preferred

Technologies

T-SQL
Python
Azure Data Factory
Fabric Data Pipelines
Databricks
Microsoft Fabric
OneLake
Lakehouses
Power BI
Delta Lake
Azure DevOps
GitHub
YAML pipelines
Terraform
Bicep
Dynamics 365
Workday
Costpoint

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1mo ago

Senior Data Analyst

Leidos Tampa, FL

Tampa, FL

1mo ago Closed

$92k - $167k/yr Full time Senior Agile Analytics

This position is no longer accepting applications (closed Jun 23, 2026).

Job Description

Leidos seeks a Senior Data Analyst to support the USCENTCOM J6 Team with data analytics, reporting, and actionable insights. The role centers on leveraging Power BI and Qlik within an Agile framework and is based on-site in Tampa, Florida.

RESPONSIBILITIES

Create and maintain dashboards, reports, and data visualizations using Power BI, Qlik, and related analytics tools.
Perform data modeling, data wrangling, and data cleansing to uphold quality and accuracy.
Operate within an Azure DevOps environment to plan sprints and deliver data analytics work items.
Apply Scrum and Agile practices to drive efficient data projects, accommodating evolving requirements.
Collaborate with the USCENTCOM J6 Executive Data Officer (XDO) and other stakeholders to align analytics efforts with business goals.
Extract, process, and analyze data from multiple sources to identify trends and provide decision-ready insights.
Maintain data quality through governance practices such as cataloging, tagging, and validation.
Partner with data engineers to design data pipelines that automate data integration and ensure reliable access to accurate data.
Support predictive and advanced analytics initiatives, including AI and ML models.
Participate in daily stand-ups, sprint planning, and retrospectives to sustain collaboration and transparency across teams.

REQUIREMENTS

Bachelor's degree in Data Science, Computer Science, or a related field with 8–12 years of relevant experience, or a Master's degree with 6–10 years of relevant experience.
Active TS/SCI clearance required.
Proficiency in Power BI, Qlik, and Excel for data reporting and visualization.
Experience with data modeling, data integration, and data governance practices.
Knowledge of Azure DevOps (ADO) for managing work items and sprints.
Familiarity with Scrum/Agile methodologies to manage data projects.
Strong ability to provide data-driven insights for leadership decision-making.

TECHNOLOGIES

Power BI
Qlik
Excel
Azure DevOps (ADO)

BENEFITS

Competitive compensation
Health and Wellness programs
Income Protection
Paid Leave
Retirement

CLEARANCE REQUIREMENT

Active TS/SCI clearance required.

PAY RANGE

USD 92,300 - 166,850 per year

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1mo ago

Senior Data Engineer

Brooksource Tampa, FL

Tampa, FL

1mo ago Closed

$60 - $75/hr Full time Senior Analytics Data Analytics

This position is no longer accepting applications (closed Jun 20, 2026).

Job Description

$60 to $75, a collaborative culture focused on innovation, and the opportunity to shape enterprise data platforms for analytics, reporting, and strategic decision-making within a utility client. You will join a team of IT architects, developers, and business stakeholders to drive data-driven insights while advancing governance, security, and reliability.

Benefits

Dental insurance
Health insurance
Vision insurance

Responsibilities

Architect and implement robust data pipelines, models, and ingestion frameworks to enable advanced analytics and machine learning.
Design and maintain scalable data infrastructure on cloud platforms such as Azure, AWS, or GCP.
Integrate SAP data sources into enterprise data platforms for reporting and analytics.
Ensure data integrity, reliability, and performance across systems and applications.
Lead efforts to reduce data redundancy and establish a single source of truth through effective data modeling and integration.
Serve as a technical lead on cross-functional data projects, guiding design decisions and alignment with business goals.
Collaborate with developers, analysts, and business stakeholders to translate requirements into scalable data solutions.
Oversee database upgrades, migrations, and performance tuning activities.
Develop and enforce standards for data governance, security, and lifecycle management.
Mentor junior data engineers and analysts, providing guidance on best practices and technical development.
Evaluate emerging technologies and recommend adoption strategies to enhance data capabilities.
Create and deliver training materials and documentation to support team development and knowledge sharing.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
6-8+ years of experience in data engineering, database administration, or related roles.
Advanced proficiency in SQL and programming languages such as Python or R.
Expertise in relational and NoSQL databases (e.g., Oracle, SQL Server, MongoDB).
Strong experience with cloud data platforms (Azure, AWS, GCP) and tools (e.g., Snowflake, Databricks).
Experience integrating and analyzing data from SAP systems (e.g., SAP HANA, SAP BW, SAP ECC).
Proven ability to lead technical projects and mentor team members.

Technologies

SAP HANA
SAP BW
SAP ECC
SQL
Python
R
Oracle
SQL Server
MongoDB
Azure
AWS
GCP
Snowflake
Databricks

Soft Skills

Strategic thinker with strong problem-solving abilities
Excellent communication and leadership skills
Ability to manage multiple priorities and drive results in a fast-paced environment