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Data Migration Engineer Jobs in Texas (NOW HIRING)

Tixy Services LLC

Senior Data Engineer

Dallas, TX · On-site

$105K - $143K/yr

System Migration & Data Validation * Support the technical execution of large-scale system ... Mentor junior engineers and promote engineering best practices. * Lead technical discussions ...

Togetherwork Holdings, LLC

Data Architect

Austin, TX · On-site

$120 - $150/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

In this role, you will design and govern data migration, integration architecture, and CRM data ... You will collaborate cross‑functionally with Onboarding, Product, Engineering, and Analytics ...

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

We specialize in cloud architecture, infrastructure, migration, and optimization, helping ... About the role We're looking for a Senior Data Engineer to join us and work with our client\'s Data ...

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

We specialize in cloud architecture, infrastructure, migration, and optimization, helping ... About the role We're looking for a Senior Data Engineer to join us and work with our client\'s Data ...

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

We specialize in cloud architecture, infrastructure, migration, and optimization, helping ... About the role We're looking for a Senior Data Engineer to join us and work with our client's Data ...

MAQ Software

Software Data Operations Engineer

Plano, TX · On-site

$110K - $132K/yr

... migration to cloud-based platforms. Use GitHub Copilot to assist in refactoring legacy code and ... DevOps MCP Server to validate data lineage and dependencies within project repositories. • Design ...

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

We specialize in cloud architecture, infrastructure, migration, and optimization, helping ... About the role We're looking for a Senior Data Engineer to join us and work with our client's Data ...

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Showing results 41-60

All JobsData Migration Engineer JobsData Migration Engineer Jobs in Texas

Data Migration Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do data migration engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data migration engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What are some common challenges a data migration engineer faces during large-scale migration projects?

Data Migration Engineers often encounter challenges such as ensuring data integrity, minimizing downtime, and resolving compatibility issues between legacy and target systems. Handling unexpected data quality problems or incomplete documentation can also add complexity. Effective communication with stakeholders and close collaboration with database administrators, developers, and business analysts are crucial for anticipating and overcoming these obstacles, ensuring a smooth and successful migration.

What are the key skills and qualifications needed to thrive as a data migration engineer, and why are they important?

To thrive as a Data Migration Engineer, you need expertise in database management, data mapping, ETL (Extract, Transform, Load) processes, and a degree in computer science or related fields. Familiarity with tools such as SQL Server Integration Services (SSIS), Informatica, cloud migration platforms, and relevant certifications like Microsoft Azure or AWS are often required. Strong problem-solving abilities, attention to detail, and effective communication skills help manage complex data sets and coordinate with cross-functional teams. These skills are crucial to ensure data is accurately and securely transferred, minimizing risks and maintaining business continuity during migrations.

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

AspectData Migration EngineerData Analyst
Primary FocusDesigning and executing data transfer processes between systemsAnalyzing data to generate insights and reports
Skills & CertificationsSQL, ETL tools, database management, scriptingSQL, data visualization, statistical analysis
Work EnvironmentIT teams, data warehouses, cloud platformsBusiness units, analytics teams, reporting platforms
Industry UsageIT, data management, cloud servicesBusiness intelligence, marketing, finance

While both roles work with data, Data Migration Engineers focus on transferring and integrating data between systems, ensuring data integrity during migration. Data Analysts interpret data to support decision-making. Understanding these differences helps in choosing the right career path or job focus.

What are popular job titles related to Data Migration Engineer jobs in Texas?

For Data Migration Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Migration Engineer jobs in Texas look for?

The top searched job categories for Data Migration Engineer jobs in Texas are:

What cities in Texas are hiring for Data Migration Engineer jobs?

Cities in Texas with the most Data Migration Engineer job openings:

Data Migration Engineer jobs near you
Infographic showing various Data Migration Engineer job openings in Texas as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

Senior Data Engineer

Tixy Services LLC

Dallas, TX • On-site

$105K - $143K/yr

Other

Posted 10 days ago

Job description

Job Title: Senior Data Engineer

Location: Dallas, TX (Onsite)
Employment Type: Full-time
Job Summary
We are seeking an experienced Senior Data Engineer to support a large-scale enterprise data platform modernization and system migration initiative. This role will be responsible for designing, building, and optimizing scalable data pipelines, data warehouses, and cloud-based data platforms that enable trusted analytics and AI-driven decision-making.
The ideal candidate will have extensive experience with Python, SQL, ETL/ELT development, Snowflake, BigQuery, dbt, Airflow, and cloud data platforms. Experience within the Mortgage Industry, particularly in mortgage servicing, settlements, remittances, and servicing workflows, is highly preferred.
In addition to hands-on data engineering, this role requires collaboration with business stakeholders, architects, data scientists, and engineering teams to support platform migration, data validation, governance, and successful project delivery.
Key Responsibilities
Data Engineering & Pipeline Development
  • Design, develop, and maintain scalable ETL/ELT pipelines for enterprise data integration.
  • Build high-performance, reusable data pipeline frameworks using Python and SQL.
  • Develop and optimize enterprise data warehouses and cloud-native data platforms.
  • Implement robust data integration solutions supporting analytics, reporting, and AI initiatives.
  • Optimize data processing performance, scalability, and reliability.
Data Modeling
  • Design and implement scalable data models, including:
    • Star Schema
    • Snowflake Schema
    • Data Vault
  • Establish data modeling standards aligned with enterprise architecture.
  • Ensure consistency, scalability, and performance across data solutions.
Cloud Data Platforms
  • Build and support enterprise cloud data platforms using:
    • Snowflake
    • Google BigQuery
    • Databricks
    • Amazon Redshift
    • Microsoft Fabric
  • Collaborate with Cloud Architects and Platform Engineers on cloud-native solutions.
  • Support multi-cloud data engineering initiatives across AWS, Azure, and Google Cloud Platform.
System Migration & Data Validation
  • Support the technical execution of large-scale system migration projects.
  • Build migration pipelines and validate migrated data.
  • Perform reconciliation and data quality validation throughout migration activities.
  • Collaborate with cross-functional teams during migration planning, testing, cutover, and post-production validation.
  • Support stakeholder alignment and operational readiness throughout project execution.
Data Governance & Quality
  • Implement data quality, validation, monitoring, and governance frameworks.
  • Define and maintain data quality SLAs and operational monitoring standards.
  • Support metadata management, data lineage, access controls, and compliance requirements.
  • Ensure data integrity, security, and consistency across enterprise platforms.
Infrastructure & Automation
  • Automate data platform deployments using Terraform or similar Infrastructure-as-Code (IaC) tools.
  • Develop and maintain CI/CD pipelines for data engineering solutions.
  • Drive automation and continuous improvement across engineering processes.
Leadership & Collaboration
  • Partner with Product Managers, Business Analysts, Data Architects, and Data Scientists to deliver enterprise data solutions.
  • Mentor junior engineers and promote engineering best practices.
  • Lead technical discussions, solution design, and architecture reviews.
  • Contribute to Agile planning, sprint execution, and cross-functional delivery.
Required Qualifications
  • Bachelor''s degree in computer science, Information Technology, Engineering, or a related field.
  • 8+ years of experience designing and implementing enterprise-scale data engineering solutions.
  • Strong experience supporting enterprise data migration and modernization initiatives.
  • Advanced expertise in SQL and enterprise data modeling.
  • Strong programming experience with Python.
  • Extensive experience designing and developing ETL/ELT pipelines.
  • Hands-on experience with cloud data platforms including Snowflake, BigQuery, Databricks, Redshift, or Microsoft Fabric.
  • Experience with orchestration tools such as Airflow, dbt, or Informatica.
  • Strong understanding of cloud platforms (AWS, Azure, or Google Cloud Platform).
  • Experience with Terraform or other Infrastructure-as-Code (IaC) tools.
  • Strong knowledge of CI/CD processes for data platform deployments.
  • Excellent communication and stakeholder management skills.
Preferred Qualifications
  • Experience within the Mortgage Industry, including:
    • Mortgage Servicing
    • Asset-Backed Finance (ABF)
    • Settlements
    • Remittances & Cash Consolidation
    • Servicing Workflows
  • Experience leading enterprise system migration programs.
  • Experience with Product or Program Management throughout the software development lifecycle.
  • Experience working in Agile or hybrid delivery environments.
  • Knowledge of enterprise data governance and compliance frameworks.
Required Technical Skills
Programming
  • Python
  • SQL
Data Engineering
  • ETL / ELT
  • Data Modeling
  • Star Schema
  • Snowflake Schema
  • Data Vault
  • Data Warehousing
  • Data Integration
Cloud Data Platforms
  • Snowflake
  • Google BigQuery
  • Databricks
  • Amazon Redshift
  • Microsoft Fabric
Data Orchestration
  • Apache Airflow
  • dbt
  • Informatica
Cloud Platforms
  • AWS
  • Microsoft Azure
  • Google Cloud Platform (Google Cloud Platform)
Infrastructure & DevOps
  • Terraform
  • Infrastructure as Code (IaC)
  • CI/CD
  • Git
Analytics & Reporting
  • Tableau
  • Power BI
Data Governance
  • Metadata Management
  • Data Lineage
  • Data Quality
  • Data Validation
  • Access Controls
  • Compliance
Preferred Certifications
  • Snowflake SnowPro Certification
  • AWS Certified Data Analytics – Specialty
  • Microsoft Azure Data Engineer Associate
  • Google Cloud Professional Data Engineer
Core Competencies
  • Enterprise Data Engineering
  • Cloud Data Platform Architecture
  • ETL/ELT Development
  • Data Pipeline Optimization
  • Data Warehouse Design
  • Data Migration & Modernization
  • Data Governance & Quality
  • Infrastructure as Code (IaC)
  • Agile Delivery
  • Technical Leadership
  • Cross-functional Collaboration
  • Stakeholder Management
 

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