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Data Migration Remote Jobs (NOW HIRING)

Guidehouse

Courts Data Migration Lead - Director

OR · On-site +1

$185K - $309K/yr

Lead end-to-end data migration efforts for courts-related projects, including planning, execution ... Experience supporting remote teams and geographically distributed stakeholders. The annual salary ...

Belden Inc

Data Technical Specialist - Remote

Richmond, IN · On-site +1

$101K - $152K/yr

Job Summary We are seeking a skilled SAP Data Migration expert with extensive experience in SAP ... Belden also offers hybrid and remote work practices where feasible and provides employees with ...

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How much do data migration remote jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for data migration remote 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 are Data Migration Remote jobs?

Data Migration Remote jobs involve transferring data from one system, database, or storage format to another while working remotely. Professionals in these roles handle tasks such as planning migration strategies, mapping data fields, ensuring data integrity, and troubleshooting issues that arise during the process. These positions often require strong technical skills, experience with databases, and familiarity with cloud platforms or migration tools. Remote data migration specialists collaborate with teams virtually, using communication and project management tools to coordinate efforts and ensure successful data transitions.

What are the key skills and qualifications needed to thrive as a Data Migration Specialist working remotely, and why are they important?

To thrive as a Data Migration Specialist working remotely, you need expertise in data analysis, database management, and proficiency with data migration methodologies, typically backed by a degree in computer science or IT. Familiarity with tools like SQL, ETL platforms (such as Informatica or Talend), and cloud migration systems is crucial, along with certifications like AWS Certified Data Analytics or Microsoft Azure Data Engineer. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills, especially when collaborating with distributed teams. These skills ensure data integrity, seamless transitions between systems, and successful remote project execution.

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

AspectData Migration RemoteData Analyst Remote
Required CredentialsTypically requires SQL, ETL tools, and database management certificationsRequires SQL, Excel, and data visualization certifications
Work EnvironmentPrimarily involves database management, scripting, and technical tasksFocuses on data analysis, reporting, and insights generation
Employer & Industry UsageUsed in IT, data management, and software companies for system upgradesCommon in finance, marketing, and consulting firms for business insights

Data Migration Remote and Data Analyst Remote roles share some technical skills like SQL but differ in focus. Data Migration Remote emphasizes database management and system transfers, while Data Analyst Remote centers on analyzing data to inform business decisions. Both roles are vital in data-driven industries but serve distinct functions.

What are some common challenges faced during remote data migration projects, and how can they be addressed?

Remote data migration professionals often encounter challenges such as coordinating across distributed teams, ensuring data security during transfers, and managing unexpected data compatibility issues. Clear communication and regular virtual meetings are essential to stay aligned with team members and stakeholders. Utilizing secure transfer protocols and robust validation processes helps maintain data integrity and security. Proactively planning for potential roadblocks and documenting each step can significantly reduce project risks and ensure smoother migrations.
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Data Migration Remote jobs near you
Infographic showing various Data Migration Remote job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $139,914 per year, or $67.3 per hour.
Forward Deployed Engineer - Data Migration & Data Consolidation Platforms

Forward Deployed Engineer - Data Migration & Data Consolidation Platforms

Rackspace Technology

Remote

$117K - $140K/yr

Full-time

Posted 28 days ago

Job description

About the Role: Location: Remote (US) + Travel to client sites up to 40% | Department: Private Cloud, Data & AI | Reports To: VP, Data & AI |
As a Forward Deployed Engineer (FDE) for Data Migration & Data Consolidation Platforms, you will serve as the hands-on technical lead driving enterprise-scale data transformation engagements. You will own the end-to-end execution of complex data migrations, multi-system consolidations, and platform modernization initiatives for Global Enterprises and Industry Leaders navigating critical technology inflection points. Operating at the convergence of cloud architecture, data engineering, and direct client partnership, you will translate the capabilities embedded in our migration acceleration platform into production-grade, client-specific solutions.
This role demands deep proficiency across legacy enterprise systems such as SAP ECC, Oracle on-premise, modern cloud data platforms, and AI-driven transformation tooling. You will function as both solution architect and hands-on implementer - owning migration strategy design, building automated data pipelines, and deploying ontology-driven integration frameworks that unify fragmented application landscapes into cohesive, consolidated business data models.
Key Responsibilities:
    • Migration Execution & Cloud Architecture: Lead end-to-end delivery of enterprise data migrations from corporate systems (SAP, Oracle, Epic ERP) to target cloud data platforms, including the design of cloud landing zones, data governance frameworks, and system rationalization strategies. Establish migration compliance controls, automated rollback procedures, and operational readiness gates while owning full technical accountability for 12-18+ month migration roadmaps.
    • Data Pipeline Engineering & Transformation: Build production-grade data connectors to SAP (RFC, IDoc, BAPI, OData), Oracle (AQ, GoldenGate, APIs), and SQL/non-relational sources. Develop ETL/ELT pipelines with LLM-enabled transformation logic, multi-layer validation and reconciliation frameworks, and optimized throughput for datasets scaling from tens of millions to billions of records with built-in CDC and incremental loading.
    • Ontology Layer Development & Schema Automation: Construct semantic ontology layers translating raw ERP structures into business-consumable objects (Customer, Order, Invoice, Product, Vendor, Asset). Deploy automated schema mapping agents for source-to-target analysis and transformation logic generation. Build unified master data models with row/column-level security, cross-system lineage tracking, and AI-ready semantic structures.
    • Application & Workflow Delivery: Build operational dashboards, migration control centers, and agent-driven workflows for automated validation, exception handling, and anomaly detection using low-code platform tools. Generate TypeScript/Python SDKs for custom integrations and deliver real-time monitoring and self-service interfaces for migration progress, data quality KPIs, and compliance tracking.
    • Multi-System Consolidation & Master Data Management: Lead consolidation of 5-15+ fragmented ERP instances into standardized master data models. Resolve complex entity resolution challenges including customer matching, product harmonization, and chart of accounts unification. Establish golden record frameworks, data quality scorecards, survivorship rules, and data stewardship workflows for post-migration governance.
    • Client Engagement, Discovery & Modernization Advisory: Serve as primary technical advisor to C-suite and enterprise architecture stakeholders across all engagement phases. Deploy discovery agents to analyze legacy data estates, conduct assessment workshops, facilitate solution design sessions, and deliver executive briefings, go/no-go readiness assessments, and prioritized modernization roadmaps.
    • Knowledge Transfer, Enablement & IP Development: Build reusable migration accelerators, playbooks, and reference architectures that scale across engagements. Lead knowledge transfer to upskill client teams for post-migration ownership and collaborate with internal product and sales engineering teams to feed field insights back into platform development and delivery methodology.
    • Leadership & Executive Engagement: Operate autonomously in ambiguous, high-stakes client environments, driving outcomes with minimal oversight; translate deeply technical concepts into clear, business-level narratives for C-suite audiences through executive briefings and stakeholder communications; navigate organizational complexity, competing stakeholder priorities, and enterprise change management dynamics to maintain momentum across multi-workstream engagements; mentor junior engineers, cultivate technical capability within delivery teams, and foster a culture of knowledge sharing and continuous improvement.

Required Qualifications:
    • 7-10+ years of progressive experience in enterprise data engineering, data migration, or large-scale system integration roles within complex, multi-platform environments
    • 3-5+ years directly leading end-to-end data migration or multi-system consolidation programs for Global Enterprises and Industry Leaders, with full ownership of technical delivery and client outcomes
    • Demonstrated client-facing experience serving as a trusted technical advisor to C-level executives, enterprise architecture teams, and cross-functional business stakeholders
    • Proven industry depth in at least two of the following verticals: Healthcare, Financial Services, Manufacturing, Retail, Energy & Utilities, or Public Sector
    • Hands-on migration complexity: successfully delivered programs involving at least 3+ heterogeneous source systems, 100M+ records, complex master data harmonization, and multi-phase cutover execution
    • Advanced proficiency in Python and SQL with working experience in PySpark and TypeScript/JavaScript
    • Hands-on expertise with modern ETL/ELT and data integration platforms (Informatica, Talend, Matillion, Fivetran, AWS Glue, Azure Data Factory)
    • Proven ability to build scalable, version-controlled data pipelines with error handling, incremental loading, and Change Data Capture (CDC)
    • Strong working knowledge of at least one major cloud provider (AWS, Azure, or GCP), including core infrastructure, managed data services, and security configurations
    • Experience with enterprise data warehouse and lakehouse platforms (Snowflake, Databricks, BigQuery, Redshift, Synapse Analytics, Delta Lake)
    • Familiarity with knowledge graph construction, semantic modeling, ontology frameworks (RDF, OWL), or platforms such as Neo4j, AI Foundry, or Stardog
    • Practical experience integrating LLMs or AI-driven tooling into data transformation, schema inference, or mapping workflows (OpenAI, Anthropic, AWS Bedrock)
    • Experience with low-code/no-code application platforms for rapid solution delivery (AI Foundry, Mendix, OutSystems, PowerApps)

Preferred Qualifications:
    • Certifications: AI Foundry (Data Engineer, Ontologist, or Application Developer), SAP Certified Technology Associate/Professional, cloud architecture or data engineering credentials (AWS Solutions Architect, Azure Data Engineer, GCP Professional Data Engineer), or data governance/MDM certifications (CDMP, DAMA)
    • Advanced Technical Skills: Deep, production-level knowledge of real-time event streaming platforms (Kafka, Kinesis, Event Hubs, Pub/Sub); demonstrated expertise with enterprise MDM platforms (Informatica MDM, SAP MDG, Profisee, Reltio); hands-on proficiency in API development, microservices architecture, and service mesh patterns; strong command of CI/CD pipelines and infrastructure-as-code tooling (Jenkins, GitLab CI, Azure DevOps, Terraform, ArgoCD); comprehensive understanding of data security, privacy, and regulatory compliance frameworks (GDPR, HIPAA, SOC 2, CCPA, FedRAMP)
    • Domain Knowledge: Working understanding of financial close processes, supply chain operations, revenue cycle management, or procurement workflows; experience with industry-specific data standards (EDI, HL7, FHIR, SWIFT, XBRL); familiarity with process mining tools (Celonis, UiPath Process Mining, Signavio) and data observability, cataloging, and lineage platforms (Monte Carlo, Collibra, Alation, Apache Atlas)

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Our compensation reflects the cost of labor across several geographic markets. The base pay for this position ranges from $164,851.50/year in our lowest geographic market up to 274,752.50 USD/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP). Learn more about benefits at Rackspace.
About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world's leading technologies - across applications, data and security - to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
More on Rackspace Technology
Though we're all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

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