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Weekend Data Migration Jobs (NOW HIRING)

Maintain a flexible schedule that allows for occasional travel, weekend work, or holiday work when ... data migration, ETL, conversion programming, or software development within a core banking or ...

Maintain a flexible schedule that allows for occasional travel, weekend work, or holiday work when ... data migration, ETL, conversion programming, or software development within a core banking or ...

Maintain a flexible schedule that allows for occasional travel, weekend work, or holiday work when ... data migration, ETL, conversion programming, or software development within a core banking or ...

PLM Data Migration Architect

San Jose, CA · On-site

$74.75 - $96/hr

The ideal candidate will lead end-to-end data migration initiatives, define migration strategies, and ensure the successful movement of product data from legacy PLM systems to TeaCliententer.

Experience in Data Migration methodologies Highly effective working in a team, as well as working independently. Perform source system data analysis in order to manage source to target data mapping.

Data Migration Test Analyst - Snowflake SQL Azure Location: Seattle, WA (Hybrid - Local Candidates Only) Important: This is not a traditional QA Automation, Manual QA, Selenium, Cypress, Playwright ...

PLM Data Migration Architect

Raleigh, NC · On-site

$62 - $79.75/hr

Required Skill and Experience • Define the end-to-end PLM data migration architecture for enterprise transformations, with Siemens Teamcenter as the target platform. • Experience in PLM ...

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Weekend Data Migration information

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How much do weekend data migration jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for weekend data migration in the United States is $67.27, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $84.38 per hour, depending on experience, location, and employer.

What is a weekend data migration?

A Weekend Data Migration job involves transferring data from one system or platform to another during weekends to minimize disruption to regular business operations. Professionals in this role are responsible for planning, executing, and verifying data migrations, ensuring data integrity and security throughout the process. These jobs often require expertise in database management, data mapping, and troubleshooting. Weekend shifts are common because system downtime is less likely to impact business activities during these periods.

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

To thrive as a Weekend Data Migration Specialist, you need expertise in database management, data mapping, and experience with data migration processes, often supported by a degree in computer science or related field. Familiarity with ETL tools, SQL, and systems like Oracle, SAP, or Microsoft Azure is typically required, and relevant certifications such as Microsoft Certified: Azure Data Engineer can be advantageous. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for coordinating with teams and troubleshooting issues under tight timelines. These skills ensure data integrity, minimize downtime, and enable smooth system transitions during critical weekend migration windows.

What are some common challenges faced during weekend data migration projects, and how can I prepare for them?

Weekend data migration roles often involve tight timelines and the need to minimize downtime for critical business systems. Common challenges include unexpected data compatibility issues, managing large volumes of data within limited windows, and coordinating across IT teams to ensure a smooth transition. To prepare, it's important to thoroughly review migration plans, communicate clearly with stakeholders, and have contingency strategies for potential setbacks. Familiarity with data migration tools and strong troubleshooting skills can help you address issues quickly and keep the project on track.

What is the difference between Weekend Data Migration vs Weekend Data Analyst?

AspectWeekend Data MigrationWeekend Data Analyst
Required CredentialsData management certifications, SQL, ETL toolsData analysis certifications, Excel, SQL
Work EnvironmentIT teams, data centers, migration projectsBusiness units, reporting environments, analytics projects
Industry UsageIT, data management, software companiesMarketing, finance, retail, business intelligence

Weekend Data Migration focuses on transferring and updating data systems, requiring technical skills in data management and ETL tools. Weekend Data Analyst interprets data to provide insights, emphasizing analytical skills and reporting. Both roles may work during weekends but serve different functions within data projects.

More about Weekend Data Migration jobs

What cities are hiring for Weekend Data Migration jobs?

Cities with the most Weekend Data Migration job openings:

What are the most commonly searched types of Data Migration jobs?

The most popular types of Data Migration jobs are:

What states have the most Weekend Data Migration jobs?

States with the most job openings for Weekend Data Migration jobs include:

Infographic showing various Weekend Data Migration job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $139,914 per year, or $67.3 per hour.

Data Migration Analyst

Nymbus, Inc.

Jacksonville, FL • Remote

Full-time

Posted 17 days ago


Job description

Nymbus (https://nymbus.com/) isn't just a leader in fintech; we're a community of innovators passionate about reimagining banking. Our award-winning modern core platform and cloud-based technology serve as the backbone for financial institutions eager to modernize and excel.

We operate with an AI-first mindset across our business, continuously improving how we work and the value we deliver to our clients. Our culture is grounded in collaboration, accountability, and a strong commitment to execution.

The journey to growth begins with doing something different, and that journey starts with the talented people who make Nymbus successful. Thank you for considering Nymbus as the catalyst for the next chapter of your career.

WORK ENVIRONMENT:

Nymbus is a remote-first company. Occasional travel may be required for client engagements, team planning sessions, or project activities. Working hours primarily align with the Eastern Time Zone; candidates located in the Eastern or Central time zones are preferred.

POSITION SUMMARY:

The Data Migration Analyst supports the complete lifecycle of data migration for banks and credit unions implementing the Nymbus Core platform. This includes analyzing source data from donor core systems, defining data requirements, mapping and transforming data, validating conversion results, and helping ensure data is accurate and complete before each go-live milestone.

This is a client-facing, hands-on role for someone who is naturally curious, analytical, and motivated to solve complex data challenges. The Data Migration Analyst will contribute directly to multiple conversion engagements while helping Nymbus develop reusable migration standards, documented conversion patterns, and AI-assisted tools that improve speed, accuracy, and scalability.

The successful candidate will be comfortable performing detailed conversion work while also identifying opportunities to automate manual processes, improve validation workflows, and advance the way data migration is delivered at Nymbus.

ESSENTIAL JOB FUNCTIONS/RESPONSIBILITIES:

  • Build and maintain data requirements for migrating source data from donor core systems into the Nymbus Core platform.
  • Analyze and map data across banking functions, including deposit operations, loan products, consumer demographics, retirement accounts, financial reporting structures, and general ledger data.
  • Use SQL and other programming languages to map source data, define transformation logic, and support conversion programming.
  • Verify conversion output against client source data, documented specifications, business requirements, and approved transformation rules.
  • Test and validate converted data using reporting tools, reconciliation processes, quality assurance checks, and exception analysis.
  • Identify data quality issues, transformation errors, and anomalies that could affect conversion accuracy, completeness, or readiness.
  • Lead and participate in client discussions involving source data structures, business rules, mapping decisions, conversion results, and issue resolution.
  • Collaborate with client project teams, internal delivery consultants, technical teams, and other stakeholders to ensure timely and effective implementation of Nymbus software and services.
  • Support multiple concurrent conversion engagements by coordinating priorities, managing time-sensitive deliverables, and completing assigned work with minimal supervision.
  • Design, build, and improve AI-assisted tools and automations that accelerate data migration activities, reduce manual effort, and improve consistency.
  • Explore opportunities to automate field-mapping recommendations across commonly encountered donor core systems.
  • Develop tools and processes that help identify data anomalies during transformation and streamline validation activities that currently require significant manual intervention.
  • Document conversion patterns, source-system knowledge, data-mapping standards, transformation rules, validation procedures, and reusable frameworks.
  • Contribute to a shared body of institutional knowledge that improves consistency, reduces ramp time, and increases team resilience across future conversions.
  • Recommend improvements to data migration processes, tools, standards, and quality controls based on lessons learned from conversion engagements.
  • Maintain a flexible schedule that allows for occasional travel, weekend work, or holiday work when required to support critical conversion and go-live activities.

QUALIFICATIONS:

  • 2+ years of experience in financial services, preferably with hands-on experience in data conversion, data migration, ETL, conversion programming, or software development within a core banking or fintech environment.
  • Proficiency in SQL and experience using SQL to analyze, map, transform, reconcile, or validate data.
  • Familiarity with additional programming or scripting languages is strongly preferred.
  • Experience interpreting technical specifications, source-data structures, transformation rules, and business requirements.
  • Understanding of banking data and operations, including deposit accounts, loan products, retirement accounts, consumer demographics, general ledger or financial reporting structures, banking regulations, and personally identifiable information policies.
  • Experience with data validation, reconciliation, reporting, exception analysis, or quality assurance processes.
  • Genuine curiosity about artificial intelligence and a demonstrated interest in building tools, automations, or improved workflows that make analytical work faster and more reliable.
  • Strong analytical and problem-solving skills, with the ability to investigate complex data issues and drive them through resolution.
  • Strong written and verbal communication skills, including the ability to explain technical data concepts to clients and cross-functional stakeholders.
  • Ability to manage multiple priorities and deliver accurate work within time-sensitive project schedules.
  • Self-directed, process-oriented, and highly attentive to detail.

Preferred Qualifications

  • Experience supporting core banking conversions or migrations from commonly used donor core platforms.
  • Experience developing reusable data-mapping frameworks, validation utilities, reporting tools, or workflow automations.
  • Familiarity with AI-assisted development tools, large language models, machine learning applications, or automated anomaly-detection approaches.
  • A continuous-improvement mindset and an interest in helping define the future of AI-assisted data migration at Nymbus.

SALARY & BENEFITS:

  • $110,000 - $125,000 Annual Salary
  • Annual Cash Bonus and Equity Options commensurate with the role level and experience
  • 100% Remote
  • 401(k) plan
  • Insurance - Health, Dental and Vision
  • Paid Time Off

Ready to join? We invite you to watch this video and learn who we are and how we build and innovates together!

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