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Etl Developer Remote Jobs in Florida (NOW HIRING)

Senior Data Engineer

West Palm Beach, FL · Remote

$102K - $139K/yr

Design, develop, and maintain ETL processes and data structures following best practices. * Work ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Senior Data Engineer

Miami, FL · Remote

$101K - $137K/yr

Design, develop, and maintain ETL processes and data structures following best practices. * Work ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

... scalable ELT/ETL workflows that support enterprise-wide data needs. This role requires deep ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

Hadoop Developer - Remote ARC Group has an immediate opportunity for a Hadoop Developer! This ... Ability to design and implement ETL workflows that leverage Snowflake's compute capabilities ...

Apply Early

Data Engineer - Healthcare

Tampa, FL · Remote

$108K - $129K/yr

Position - Data Engineer (Python + React, Healthcare Domain) Location - Tampa/Remote Number of ... Build ETL/ELT pipelines to process clinical, operational, and healthcare datasets * Work with ...

Xactly Developer

Delray Beach, FL · Remote

$70 - $80/hr

Strong understanding of ETL processes and data integration techniques * Proficiency in SQL and ... Exposure to cloud platforms such as AWS or Azure This is a remote position.

Apply Early

Senior Data Engineer

FL · On-site +1

$102K - $139K/yr

Develop ETL/ELT workflows that integrate data from enterprise systems, operational platforms ... Familiarity with CI/CD, infrastructure-as-code, and modern DevOps practices. * Experience mentoring ...

Data Architect

West Palm Beach, FL · On-site +1

$61.75 - $79.25/hr

Proven experience with ETL tools and data warehousing solutions (e.g., SSIS, Snowflake). * Proficiency in programming languages such as Python for building data applications and automating workflows

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Etl Developer Remote information

What are the key skills and qualifications needed to thrive as a Remote ETL Developer, and why are they important?

To excel as a Remote ETL Developer, you need strong expertise in data warehousing, ETL processes, and proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with ETL tools like Informatica, Talend, or SSIS, as well as experience with cloud platforms and database technologies, is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with distributed teams and troubleshooting data issues. These competencies ensure accurate, efficient data integration and support critical business intelligence initiatives in a remote work environment.

What are ETL Developers?

ETL Developers are IT professionals who design, implement, and maintain systems for extracting, transforming, and loading data from various sources into a centralized data warehouse or database. They work with different data formats and tools to ensure data is accurately and efficiently processed for business intelligence and analytics. Remote ETL Developers perform these tasks from a location outside the employer’s office, using collaboration tools and secure connections to manage data workflows.

How to Become an ETL Developer Who Works Remotely

The minimum qualifications for an ETL developer include a bachelor’s degree in software engineering, computer science, or a related field. Strong communication skills are important to relay issues that require attention accurately. Experience with NoSQL databases and PL/SQL development is beneficial. It is also helpful to have experience retrieving data from multiple data source types, interfacing with business users, and using dimensional modeling. You can stand out above other candidates if you have experience with Hadoop components, including HBase, Sqoop, HDFS, Hive, and Spark, experience with .NET or Java, and knowledge of SSAS, OLAP, and MDX.

How do ETL Developers working remotely typically collaborate with data engineers and analysts to ensure data quality and project success?

Remote ETL Developers usually collaborate closely with data engineers and analysts through virtual meetings, shared project management tools, and version-controlled code repositories. Regular stand-ups and agile sprints help align team members on data requirements, transformation logic, and delivery timelines. Effective communication and thorough documentation are crucial to address data quality issues promptly and to ensure that business objectives are met. Most teams rely on platforms like Slack, Jira, and GitHub to maintain transparency and streamline workflow across different locations.
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Sr Techno-functional SAP S/4HANA Data Migration & Integration Lead - Remote

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

Simple Solutions

Jacksonville, FL • On-site, Remote

$90 - $105/hr

Contractor

Posted 11 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