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Part Time Sap Data Migration Jobs (NOW HIRING)

Bechtel

Senior Software Engineer

Glendale, AZ · On-site

$121K - $160K/yr

... Azure Data Lake, Azure Data Factory, Databricks, SAP Business Objects and Power BI, with the ... Support migration or modernization of legacy reporting platforms to Power BI-based analytics ...

Bechtel

Senior Software Engineer

Glendale, AZ · On-site

$121K - $160K/yr

... Azure Data Lake, Azure Data Factory, Databricks, SAP Business Objects and Power BI, with the ... Support migration or modernization of legacy reporting platforms to Power BI-based analytics ...

Booz Allen Hamilton, Inc.

Data Engineer

Dayton, OH · On-site +1

$61K - $141K/yr

Experience with cloud migration and modernization efforts and creating automated Extract, Transform ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

New

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

... cloud migration and modernization efforts * 2+ years of experience with the data pipelines ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Solvay

Maintenance Specialist (F/M/X)

Cincinnati, OH

$35.97/hr

Maintain accurate inventory records; verify physical spare part availability against SAP data ... Prioritization of well-being: work-life balance promotion, flexible approach to work part-time or ...

Bay Area Church

Database Coordinator

League City, TX · On-site

Database Coordinator Classification: Part-Time, Hourly, Non-Exempt (28 hrs/week) Primary Reporting ... Support special projects related to church management software, data migration, and ministry ...

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Part Time Sap Data Migration information

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How much do part time sap data migration jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for part time sap data migration in the United States is $81.49, according to ZipRecruiter salary data. Most workers in this role earn between $71.15 and $91.35 per hour, depending on experience, location, and employer.

What are some common challenges faced during part time SAP data migration projects and how can they be addressed?

Part-time SAP data migration professionals often encounter challenges such as tight deadlines, managing large volumes of data, and ensuring data integrity while balancing limited working hours. Efficient time management, clear communication with full-time team members, and familiarity with SAP migration tools are crucial to success. Collaborating closely with project managers and business analysts helps prioritize tasks and resolve data discrepancies promptly, ensuring a smoother migration process even within the constraints of a part-time schedule.

What are the key skills and qualifications needed to thrive as a part time SAP data migration specialist?

To thrive as a Part Time SAP Data Migration specialist, you need expertise in data analysis, migration strategies, and a solid understanding of SAP modules, often supported by experience in IT or computer science. Familiarity with SAP Data Services, LSMW, and ETL tools, as well as knowledge of data validation techniques, is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for this role. These skills ensure accurate, efficient data transfers that minimize errors and support successful business operations during system transitions.

What is the difference between Part Time Sap Data Migration vs Part Time Sap Data Analyst?

AspectPart Time Sap Data MigrationPart Time Sap Data Analyst
Primary FocusTransferring and integrating data within SAP systemsAnalyzing and interpreting data to support business decisions
Required SkillsSAP modules, data migration tools, technical troubleshootingData analysis, reporting, SAP BI tools
Work EnvironmentTechnical, project-based, often IT or SAP teamsBusiness, reporting, often cross-departmental
CertificationsSAP Data Migration certifications, SAP BASISSAP BI certifications, data analysis courses

While both roles involve working with SAP data, Part Time Sap Data Migration focuses on transferring and integrating data within SAP systems, requiring technical migration skills. In contrast, Part Time Sap Data Analyst emphasizes analyzing data to generate insights, often using SAP BI tools. Understanding these differences helps in choosing the right role based on your skills and career goals.

What is a part time SAP data migration?

A Part Time SAP Data Migration role involves assisting with the transfer of data from legacy systems or other platforms into a new SAP environment, but on a part-time schedule. Professionals in this position are responsible for tasks such as data extraction, cleansing, transformation, and loading (ETL), as well as validating data integrity post-migration. They typically work closely with SAP consultants, project managers, and IT teams to ensure that data migration projects are completed accurately and within set timelines. Part-time roles offer flexibility for those who may have other commitments or are seeking supplemental income, while still allowing them to contribute valuable technical expertise to critical SAP projects.
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Part Time Sap Data Migration jobs near you
Infographic showing various Part Time Sap Data Migration job openings in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $169,499 per year, or $81.5 per hour.

Senior Software Engineer

Bechtel

Glendale, AZ • On-site

$121K - $160K/yr

Part-time

Posted 17 days ago

Bechtel rating

7.6

Company rating: 7.6 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

281st of 449 rated engineering

Job description

Requisition ID: 297628
  • Relocation Authorized: None
  • Telework Type: Part-Time Telework
  • Work Location: Glendale, AZ

Extraordinary teams building inspiring projects:
Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.
Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations.
Core to Bechtel is our Vision, Values and Commitments. They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report.
Job Summary:
We are seeking a highly skilled and motivated Senior Software Engineer specializing in Data Engineering and Power BI Analytics to join our growing team. This role will focus on designing, developing, and optimizing scalable data solutions within the Azure cloud environment while enabling advanced analytics and business intelligence using Power BI and SAP Business Objects.The ideal candidate will possess strong expertise in Azure Data Lake, Azure Data Factory, Databricks, SAP Business Objects and Power BI, with the ability to design end-to-end data pipelines and build robust analytical models and dashboards that drive business insights. This role will play a key part in delivering enterprise analytics solutions, data visualization frameworks, and self-service BI capabilities for business stakeholders. #LI-SM2
"This position is designated as part-time telework per our global telework policy and may require at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership"
Major Responsibilities:
  • Design, develop, and optimize scalable data processing pipelines and architectures within Azure Data Lake and Databricks, ensuring performance, scalability, and maintainability.
  • Implement and manage complex ETL/ELT data pipelines integrating data from multiple enterprise sources such as databases, APIs, and external systems.
  • Use Azure Data Factory for workflow orchestration, scheduling, and monitoring of enterprise data pipelines.
  • Implement data quality validation frameworks to ensure accuracy, completeness, and consistency across the data platform.
  • Optimize data storage, transformation, and query performance within Azure environments including Databricks, Azure SQL, and Synapse.Design, develop, and maintain enterprise Power BI solutions, including semantic models, datasets, dashboards, and analytical reports.
  • Build interactive and visually compelling dashboards that translate complex data into meaningful insights for business stakeholders.Develop Power BI data models, including star schemas, DAX measures, calculated columns, and optimized datasets.
  • Implement Power BI data governance and security, including Row-Level Security (RLS) and workspace management.
  • Optimize Power BI performance through dataset optimization, query tuning, aggregation strategies, and incremental refresh.
  • Enable self-service analytics capabilities for business users by building reusable datasets and standardized data models.

Other Major Responsibilities
  • Develop and maintain reports and dashboards using Power BI and SAP Business Objects and Business Warehouse, ensuring data accuracy and consistency.
  • Work closely with business stakeholders to translate reporting and analytics requirements into scalable BI solutions.
  • Support migration or modernization of legacy reporting platforms to Power BI-based analytics solutions.
  • Collaborate with data engineers, business analysts, and data scientists to deliver integrated analytics solutions.mplement and maintain Azure security and governance policies including data access controls, encryption, and compliance.
  • Monitor and troubleshoot data pipelines and reporting solutions, resolving performance issues proactively.
  • Maintain technical documentation including data architecture, pipeline design, and analytics solutions.

Education and Experience Requirements:
  • Requires bachelor's degree (or international equivalent) and 5-8 years of relevant experience or 9-12 years of relevant work experience
  • US citizenship is required.

Required Knowledge and Skills:
  • 10+ years of experience in Data Engineering, Business Intelligence, or Analytics platforms.
  • Strong hands-on expertise with Azure Data Lake, Azure Data Factory, Databricks, and Power BI development and analytics.
  • Extensive experience building Power BI data models, dashboards, and enterprise BI solutions.
  • Strong proficiency in SQL, query optimization, and performance tuning.
  • Experience designing data models for analytics such as star schema and dimensional modeling.
  • Hands-on experience with Azure services including Azure Synapse Analytics, Azure SQL Database, and Azure Blob Storage.
  • Experience integrating data engineering pipelines with Power BI analytics platforms.
  • Experience supporting or developing reports in SAP Business Objects.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and collaboration skills

Total Rewards/Benefits:
For decades, Bechtel has worked to inspire the next generation of employees and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive. Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth. Learn more at Bechtel Total Rewards
Diverse teams build the extraordinary:
As a global company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.
We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Click here to learn more about the people who power our legacy.
Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law. Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to acesstmt@bechtel.com

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