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Data Analytics Engineer Jobs in Orlando, FL (NOW HIRING)

CFS

Financial Analytics Engineer

Maitland, FL · On-site

$120K/yr

This role blends finance, analytics, data engineering, and business intelligence to support strategic decision-making across the organization. You'll have the opportunity to build predictive models ...

Kforce Technology Staffing

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

Working closely with analysts, BI developers, and business stakeholders, the Data Engineer ensures data is reliable, secure, and optimized for self-service analytics (e.g., Power BI), enabling ...

Pwc

Data Engineer - Senior Associate

Orlando, FL · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Manager

Orlando, FL · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Manager

Orlando, FL

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

VOLT

Data Analyst - Lake Mary, FL

Lake Mary, FL · On-site

$45 - $48/hr

Bachelor's degree in Computer Science, Engineering, Data Analytics, Information Systems, Finance, or a related field. * Strong technical, analytical, and problem-solving skill * Familiarity with ...

VOLT

Data Analyst - Lake Mary, FL

Lake Mary, FL · On-site

$45 - $48/hr

Bachelor's degree in Computer Science, Engineering, Data Analytics, Information Systems, Finance, or a related field. * Strong technical, analytical, and problem-solving skill * Familiarity with ...

Versant Media

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

Bachelor's degree is required in Business Analytics, Computer Information Systems, Industrial Engineering, Statistics, Mathematics, Economics, Data Science, or a related field * 1+ years of ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Orlando, FL

Data Analytics Engineer information

See Orlando, FL salary details

$41.5K

$121.1K

$165.7K

How much do data analytics engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data analytics engineer in Orlando, FL is $121,092.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,900.00 and $128,400.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What are the key skills and qualifications needed to thrive as a data analytics engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are the most commonly searched types of Data Analytics Engineer jobs in Orlando, FL?

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

What are popular job titles related to Data Analytics Engineer jobs in Orlando, FL?

For Data Analytics Engineer jobs in Orlando, FL, the most frequently searched job titles are:

What job categories do people searching Data Analytics Engineer jobs in Orlando, FL look for?

The top searched job categories for Data Analytics Engineer jobs in Orlando, FL are:

What cities near Orlando, FL are hiring for Data Analytics Engineer jobs?

Cities near Orlando, FL with the most Data Analytics Engineer job openings:

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Orlando, FL as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $121,092 per year, or $58.2 per hour.

Financial Analytics Engineer

CFS

Maitland, FL • On-site

$120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description

Financial Analytics Engineer

Compensation: Up to $120,000 (DOE)
Location: Orlando, FL (Hybrid)

Applicants must reside in or be within commuting distance of the Greater Orlando area.

About the Opportunity

Our client is expanding its Business Intelligence team and is looking for a Financial Analytics Engineer who is passionate about transforming data into meaningful business insights. This role blends finance, analytics, data engineering, and business intelligence to support strategic decision-making across the organization.

You'll have the opportunity to build predictive models, enhance reporting capabilities, optimize data infrastructure, and collaborate with business leaders on initiatives that drive measurable business performance.

Why You'll Want This Role
  • Join a growing Business Intelligence team with organization-wide visibility
  • Develop predictive models and financial analytics that influence strategic decisions
  • Work with modern cloud-based data platforms and business intelligence technologies
  • High level of ownership, autonomy, and cross-functional collaboration
  • Partner directly with executive leadership and key business stakeholders
  • Competitive compensation, comprehensive benefits, and strong long-term career growth

This role is ideal for an analytics professional who enjoys solving business problems through financial modeling, automation, and data-driven decision-making.

Key Responsibilities
  • Develop predictive analytics models supporting financial forecasting, budgeting, and performance management
  • Build analytical datasets, financial models, and reporting solutions that improve business decision-making
  • Query, transform, and analyze large datasets using SQL and cloud-based data warehouse technologies
  • Design, maintain, and enhance executive dashboards, KPIs, and recurring financial and operational reports
  • Support data engineering efforts, including ETL development, pipeline optimization, automation, and data validation
  • Collaborate with Finance, IT, and business teams to deliver scalable analytics and reporting solutions
  • Improve data quality, reporting consistency, and overall analytics processes
  • Present financial and operational insights to both technical and non-technical audiences
  • Participate in continuous improvement initiatives across the Business Intelligence function

Qualifications
  • Bachelor's degree in Finance, Accounting, Data Analytics, Computer Science, Information Systems, Mathematics, Statistics, or a related discipline
  • Three or more years of experience in Financial Analytics, Business Intelligence, Analytics Engineering, FP&A Analytics, Data Engineering, or a related field
  • Strong SQL skills with experience querying, transforming, and analyzing complex data
  • Experience working with cloud-based data warehouse platforms such as AWS Redshift or comparable technologies
  • Background in predictive analytics, financial forecasting, statistical analysis, business modeling, or financial modeling
  • Experience using Python, R, or similar programming languages for automation, analytics, or modeling
  • Understanding of data modeling concepts, ETL processes, and data governance best practices
  • Experience with Power BI, DAX, Microsoft Fabric, Salesforce, APIs, or similar business intelligence platforms is highly preferred
  • Strong communication skills with the ability to translate technical findings into actionable business recommendations
  • Must be authorized to work in the United States without current or future sponsorship

Benefits
  • Hybrid work environment
  • Competitive salary up to $120,000 based on experience
  • Comprehensive medical, dental, and vision insurance
  • 401(k) with employer match
  • Paid time off and company holidays
  • Professional development and career advancement opportunities
  • High visibility with executive leadership
  • Opportunity to help shape and expand a growing Business Intelligence and Analytics team
  • Why Apply?

If you're passionate about combining finance, analytics, and technology to solve complex business challenges, this role offers the opportunity to make a significant impact. You'll build predictive models, improve reporting capabilities, and help leadership make smarter, data-driven decisions while growing your career within an innovative and expanding organization.

Apply