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Sap Data Engineer Jobs in Florida (NOW HIRING)

TECO

Enterprise Analytics Data Engineer

Tampa, FL

Enterprise Analytics Data Engineer Company : Tampa Electric Company Location: Midtown East Tower ... SAP, Microsoft, Oracle, Consultants (System Integrators, Offshore Teams), Contractors, Customers ...

TECO

Enterprise Analytics Data Engineer

Tampa, FL · On-site

Enterprise Analytics Data Engineer Company : Tampa Electric Company Location: Midtown East Tower ... SAP, Microsoft, Oracle, Consultants (System Integrators, Offshore Teams), Contractors, Customers ...

Exactech

$57.75 - $74.25/hr

... L developer. (SAP Data Services would be beneficial) * 7 years' experience working with modeling tools (e.g., one or more of the following: SAP Power Designer, ER/Win, ER/Studio or other similar ...

Philip Morris International

Data Engineer - MDM

Tampa, FL · On-site

$88K - $110K/yr

MDM Data Engineer- Tampa, Florida Be a part of a revolutionary change! At Philip Morris ... SAP MDG, informatica, Reltio etc.) and Snowflake, Azure SQL database. * Knowledge of standard data ...

Novocure

Data Architect

Winter Park, FL

$59.75 - $77/hr

While SAP S/4HANA serves as a critical component of our technology ecosystem, we are looking for an ... Provide technical leadership and architectural guidance to engineering, analytics, and application ...

Pwc

Data Strategy-Manager

Tampa, FL · On-site

$99K - $232K/yr

... SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data ...

Pwc

Data Strategy-Manager

Miami, FL

$99K - $232K/yr

... SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data ...

Pwc

Data Strategy-Manager

Jacksonville, FL

$99K - $232K/yr

... SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data ...

Novocure

Data Architect

Miami, FL

$61 - $78.50/hr

While SAP S/4HANA serves as a critical component of our technology ecosystem, we are looking for an ... Provide technical leadership and architectural guidance to engineering, analytics, and application ...

Pwc

Data Governance- Manager

Tampa, FL

$99K - $232K/yr

... SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for ...

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Sap Data Engineer information

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How much do sap data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for sap data engineer in Florida is $96,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $102,800.00 per year, depending on experience, location, and employer.

What are some typical daily tasks for a SAP Data Engineer?

As a Sap Data Engineer, your daily tasks often include designing and developing data pipelines, managing data integration between SAP and non-SAP systems, and ensuring data quality and performance within SAP environments. You'll work closely with data architects, business analysts, and other IT professionals to interpret business requirements and translate them into technical solutions. Routine responsibilities may also involve monitoring and optimizing data flows, troubleshooting issues, and supporting system upgrades or migrations. Your work is critical to maintaining the reliability and efficiency of an organization’s data infrastructure.

What is the salary of a SAP Data Engineer?

The salary of a SAP Data Engineer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in SAP HANA or data integration may earn higher salaries. Compensation also varies based on industry demand and company size.

What does a SAP Data Engineer do?

An SAP Data Engineer is responsible for designing, developing, and managing data solutions within SAP systems. They work with databases, ETL processes, and data modeling to ensure efficient data integration and performance. Their role includes handling large datasets, optimizing data pipelines, and supporting business intelligence initiatives. They collaborate with cross-functional teams to ensure data accuracy, security, and availability for business decision-making.

What are the key skills and qualifications needed to thrive in the SAP Data Engineer position, and why are they important?

To excel as a Sap Data Engineer, you need strong expertise in SAP data models, integration techniques, and data processing, typically supported by a degree in computer science or a related field. Familiarity with SAP HANA, SAP BW, ETL tools, and certifications such as SAP Certified Application Associate are highly valued. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills in this role. These abilities enable efficient management and transformation of enterprise data, ensuring business operations run smoothly and insights are actionable.

What is a SAP Data Engineer?

A SAP Data Engineer is a professional responsible for designing, developing, and maintaining data pipelines and integrations within SAP systems. They work with tools like SAP BW, SAP HANA, and ETL processes to ensure data accuracy, availability, and performance for analytics and business operations.

What are popular job titles related to Sap Data Engineer jobs in Florida?

For Sap Data Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Sap Data Engineer jobs in Florida look for?

The top searched job categories for Sap Data Engineer jobs in Florida are:

Sap Data Engineer jobs near you
Infographic showing various Sap Data Engineer job openings in Florida as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $96,936 per year, or $46.6 per hour.

Sr Techno-functional SAP S/4HANA Data Migration & Integration Lead - Remote

Simple Solutions

Jacksonville, FL • On-site, Remote

$90 - $105/hr

Contractor

Re-posted 22 days ago

Job description


Sr Techno-functional SAP S/4HANA Data Migration & Integration Lead
If there is ANY TRAVEL the Client pays all travel expenses
Start Date: Immediate Start
Job Type: 6-12 Month contract
  • Work with business users to identify alldata that needs to be migrated from legacy systems.
  • Analyze the source data structure,fields, and values.
  • Identify data quality issues (e.g.,duplicates, incomplete data, incorrect formats) that need to be fixedbefore migration.
  • Leverage the predefined Migration Objecttemplate from the Migration Cockpit.
  • Map each field in the source system tothe corresponding field in the S/4HANA template.
  • Document all transformation rules
  • Configure all "Value Mapping"tasks. This is where you formally define translation rules for specificvalues
  • Work with a technical developer if astandard migration object is not sufficient.
  • Provide the mapping logic to thedeveloper so they can use the Migration Object Modeler (LTMOM) to addcustom fields or create new custom migration objects.
  • Participate in migration test cycles(unit testing, integration testing).

Help business users validate that the data loaded into S/4HANA is correct, complete, and matches the defined mapping logic.
  • Minimum 5-8 years of experience in SAP data-related roles(e.g., SAP Data Analyst, ETL Developer, or SAP Functional Consultantwith a heavy data focus)
  • Expert-level knowledge of the S/4HANA Migration Cockpit,using both "Migrate Data Using Staging Tables" and"Migrate Data Directly from SAP System" (if applicable)approaches
  • Hands-on experience using LTMOM to enhance or customizestandard migration objects
  • Proficiency in data quality, profiling, and cleansing.Strong SQL skills are essential for querying source databases toanalyze, extract, and transform data before it even reaches the S/4HANAstaging tables
  • Experience with traditional SAP data loading tools (e.g.,LSMW, BAPI, IDoc) is highly beneficial, as it demonstrates afoundational understanding of SAP data loading principles.
  • A strong understanding of modern API structures,specifically OData (for S/4HANA) and SOAP. They must be able to read andinterpret an API schema to identify all mappable fields and structures

Role Breakdown by Skill Area
1⃣ S/4HANA Migration Cockpit (LTMC / Fiori App)
Required Level: Expert
They must know:
  • "Migrate Data Using Staging Tables"
  • "Migrate Data Directly from SAP System"
  • Migration object templates
  • Field mapping logic
  • Error handling & simulation
  • File formats & template structures

This separates them from legacy ECC-only consultants.
2⃣ LTMOM (Migration Object Modeler)
This is where it becomes senior-level.
They should know how to:
  • Enhance standard migration objects
  • Add custom fields
  • Modify structures
  • Adjust mapping logic

3⃣ SQL & Data Engineering Capability
This is critical and often missing in traditional SAP consultants.
They must be able to:
  • Query source databases
  • Profile and validate data
  • Cleanse and transform datasets
  • Identify data anomalies before migration
  • Build extraction logic

This aligns more with:
  • ETL Developer
  • SAP Data Analyst
  • SAP Data Architect
4⃣ Traditional SAP Tools (LSMW, BAPI, IDoc)
These are important because they show foundational SAP loading knowledge.
What it proves:
  • Understanding of SAP document structures
  • Knowledge of batch input vs direct input
  • Familiarity with inbound/outbound interfaces
  • Comfort with WE02, BD87, SM35, etc.

Someone who knows these tools:
  • Understands how SAP actually posts data internally
5⃣ API Knowledge (OData & SOAP)
This elevates the role into modern S/4 architecture.
They should be able to:
  • Read OData metadata ($metadata)
  • Understand entity sets & navigation properties
  • Identify required vs optional fields
  • Map complex nested structures
  • Interpret SOAP WSDL schemas

This is crucial in:
  • Cloud S/4 projects
  • Hybrid integrations
  • BTP or middleware-heavy landscapes

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