ZipRecruiter

Log In

1

Data Migration Engineer Jobs in Texas (NOW HIRING)

Q2

Associate Data Migration Engineer

Austin, TX · Hybrid

Q2 is seeking a Data Migration Engineer that will join an existing data migration team that's responsible for converting the client's online banking data from their legacy system onto the Q2 platform.

NOVO

Cloud Migration Engineer

Plano, TX · On-site

$100K - $130K/yr

... data centers to Azure * Develop, implement, and maintain policies, procedures, and associated ... migration, and O365 security; Azure IaaS, migrations on on-premise servers, networking, and ...

Solomon Page

Data Engineer

Austin, TX · On-site

$55 - $70/hr

We are seeking a skilled Data Engineer to support a critical enterprise data migration initiative. This role will focus on analyzing existing Hierarchical Data Models (HDM), understanding complex ...

Eliassen Group

ETL Migration Engineer

Westlake, TX · On-site

$70 - $75/hr

Partner with architecture, data engineering, and business teams to define sequencing and priorities ... Proven ETL migration experience, including moving Informatica workflows to open-source or cloud ...

FormativGroup

Data Sales Engineer

Austin, TX

$150K - $180K/yr

As part of that mission, we are building a data lineage and migration impact-analysis platform ... The Opportunity We are adding a Data Sales Solutions Engineer to serve as the technical lead ...

Infobahn SoftWorld Inc

Data Engineer @ AUSTIN,TX

Austin, TX · On-site

$113K - $136K/yr

NO 1099 Position Summary We are seeking a Software Engineer (Data) / Data Engineer to support a critical data migration initiative. The role focuses on analyzing existing Hierarchical Data Models ...

XTG

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... Support data migration and integration efforts related to Dynamics 365 and other enterprise ...

XTG Careers

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... Support data migration and integration efforts related to Dynamics 365 and other enterprise ...

XTG

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... Support data migration and integration efforts related to Dynamics 365 and other enterprise ...

next page

Showing results 1-20

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 Jul 13, 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.

Can I make 200K as a data engineer?

Data migration engineers and data engineers can earn $200,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. Salaries vary based on location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What does a data migration engineer do?

A data migration engineer is responsible for transferring data between systems, databases, or storage solutions, ensuring data integrity and minimal downtime. They often use tools like SQL, ETL processes, and scripting languages, and need strong problem-solving skills to handle complex data structures and compatibility issues.

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 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.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and transformation, but it does not replace the need for data engineers. Data engineers are essential for designing data pipelines, managing infrastructure, and ensuring data quality, which require specialized skills that complement AI tools. The role continues to evolve with a focus on integrating AI and maintaining complex data systems.

What are some common challenges Data Migration Engineers face 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 engineers make $500,000?

Senior data migration engineers with extensive experience, specialized skills in database management, and certifications in cloud platforms or data tools can reach salaries of $500,000 or more, especially in high-demand industries or senior leadership roles. Compensation often includes bonuses, stock options, and other incentives for top-tier professionals.
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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.
Data Migration Engineer with AI

Data Migration Engineer with AI

Luna Data Solutions, Inc.

Austin, TX • On-site

$113K - $136K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago

Job description

Location: Austin, TX (Hybrid or Remote within Texas)

Employment Type: Long-Term Contract

We are seeking a Data Migration AI Engineer to support a large-scale public pension administration system modernization initiative. This role serves as the primary technical resource responsible for executing the data conversion workstream, including ETL development, legacy data migration, reconciliation, and conversion automation. The ideal candidate has extensive experience delivering data migration solutions within structured, governance-driven pension or benefits modernization programs and thrives in highly collaborative environments.

Responsibilities
  • Develop and maintain automated ETL packages and scripts for extracting, transforming, and loading legacy data into target systems.
  • Build and optimize SQL Server objects, including stored procedures, views, indexes, and complex T-SQL queries to support high-volume ETL processing.
  • Develop conversion automation scripts, SSIS custom components, and backend processing logic using C# and .NET.
  • Execute source-to-target mapping according to conversion specifications while applying authorization, exclusion, and duplicate filtering logic.
  • Perform data reconciliation activities including record count validation, key field comparisons, exception reporting, and screen validation within the Ariel platform.
  • Support data extraction and loading across development, testing, and production environments.
  • Collaborate with Technical Architects, AI/ML Engineers, QA teams, functional testers, and business stakeholders to validate conversion results and resolve migration defects.
  • Participate in mock conversion runs, User Acceptance Testing (UAT), and production cutover activities.
  • Develop and maintain conversion monitoring reports that track ETL execution, exception handling, and data validation metrics.
  • Troubleshoot ETL failures, optimize performance, and ensure converted data aligns with business rules and functional requirements.
  • Follow organizational standards, governance processes, and documentation requirements throughout the project lifecycle.
Required Qualifications
  • 4+ years of experience with large-scale pension or benefits system data conversion and modernization projects.
  • 4+ years of hands-on ETL development using SSIS and BIML.
  • 4+ years of SQL Server and T-SQL development, including:
    • Stored procedures
    • Views
    • Index optimization
    • Query tuning
    • Execution plan analysis
  • 3+ years of C# and .NET development supporting data conversion automation and backend processing.
  • 3+ years of legacy system data migration experience, including:
    • Multi-environment data loads
    • Mock conversions
    • UAT support
    • Production cutover
  • 2+ years of data reconciliation experience, including:
    • Record count validation
    • Key field comparison
    • Exception reporting
    • Authorization and exclusion logic
  • Experience developing source-to-target mapping and executing large-scale data migration workflows.
  • Strong troubleshooting, debugging, and analytical problem-solving skills.
  • Ability to work collaboratively within cross-functional technical teams.
Preferred Qualifications
  • 3+ years of experience with:
    • Azure Data Factory
    • PySpark
    • Apache Airflow
  • 2+ years of experience with:
    • Power BI
    • SSRS
  • Experience with dbt Core and cloud data warehouse development.
  • Microsoft Fabric or SnowPro Core certification is a plus.
  • Experience performing SQL-based defect triage and SSIS debugging.
  • Experience supporting QA teams during mock loads and User Acceptance Testing.
Professional Expectations
  • Attend meetings and meet established delivery deadlines.
  • Be available during standard business hours.
  • Participate in remote meetings with camera on unless otherwise approved.
  • Coordinate scheduled leave with project leadership.
  • Maintain a professional business or business casual appearance.
  • Communicate respectfully with coworkers, customers, and vendors.
  • Deliver exceptional customer service.
  • Adapt effectively to changing priorities and multiple concurrent assignments.
  • Demonstrate initiative in identifying and resolving technical issues.
What We Offer
  • Opportunity to work on a highly innovative AI and data modernization initiative.
  • Ability to make a significant impact on a large-scale public sector transformation project.
  • Collaborative team environment with ownership of key technology initiatives.
  • Competitive compensation and comprehensive benefits, including:
    • Medical
    • Dental
    • Vision
    • Life insurance
    • Accident insurance
    • Short-term disability
    • Additional employee benefits

This is a long-term contract opportunity supporting a public pension modernization program in Austin, Texas, with hybrid or remote work available within Texas. Luna Data Solutions, Inc. (LDS) is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, genetics, or any other protected status.

Apply