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Data Migration Engineer Jobs in Texas (NOW HIRING)

Implement data migration and engineering solutions using Microsoft Azure products and services (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure ...

Implement data migration and engineering solutions using Microsoft Azure products and services (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure ...

Manage the end-to-end data lifecycle, including data mapping, cleansing, migration, validation, and ... Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline ...

... data migration strategy risk assessments migration plans and quality testing strategies Collaboration Work closely with IT teams developers subject matter experts and business users to ensure ...

Data Engineer

Irving, TX · On-site

$110K - $133K/yr

Support data migration and integration activities Required Skills: * Strong experience as a Data Engineer * Hands-on experience with MEM SQL (SingleStore) * Strong SQL skills and database ...

Data Engineer

Irving, TX

$109K - $132K/yr

Support data migration and integration activities Required Skills: * Strong experience as a Data Engineer * Hands-on experience with MEM SQL (SingleStore) * Strong SQL skills and database ...

Lead Data Engineer

Plano, TX · On-site

$110K - $132K/yr

... data migration to cloud platforms. Responsibilities : • Create, test, and implement enterprise ... HCLTech is a global IT company offering digital, engineering, and cloud solutions partnering with ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... migration and data engineering solutions using Azure products and services: (Azure Data Lake ... Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks ...

... Data Migration Engineers, and QA Analysts - operating as a player-coach in Phase 1, with increasing focus on team development as the factory scales; build a team that gets faster and more autonomous ...

Database Engineer Location: Plano, TX / Jersey City, NJ - onsite Duration: 6-12 months Experience ... Spring Boot, PL/SQ, Data Migration, Database Optimization and Tuning, Core Java Must have ...

... Data Migration Engineers, and QA Analysts -- operating as a player-coach in Phase 1, with increasing focus on team development as the factory scales; build a team that gets faster and more autonomous ...

New

... Data Migration Engineers, and QA Analysts - operating as a player-coach in Phase 1, with increasing focus on team development as the factory scales; build a team that gets faster and more autonomous ...

... Data Migration Engineers, and QA Analysts -- operating as a player-coach in Phase 1, with increasing focus on team development as the factory scales; build a team that gets faster and more autonomous ...

New

Sr Data Engineer

Farmers Branch, TX · On-site

$110K - $132K/yr

Tittle: Sr Data Engineer Location: Farmers Branch, TX Work Mode: 5 days in office Duration ... Consults on data migration and transformation to ensure the accuracy and security of data solutions.

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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 Jun 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.

What does a Data Migration Engineer do?

A Data Migration Engineer is responsible for transferring data between different storage systems, formats, or computer environments. This involves planning, designing, and executing the migration process to ensure data integrity, security, and minimal downtime. They analyze the existing and target systems, create migration strategies, and use specialized tools to automate and monitor the migration. Additionally, they troubleshoot issues, validate data accuracy post-migration, and document the entire process to ensure a smooth transition.

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.

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 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:
QA Tester Jira Migration / Data Validation Testing

QA Tester Jira Migration / Data Validation Testing

Alltech Consulting Services, Inc.

Plano, TX • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Role: QA Tester Jira Migration / Data Validation Testing

Location: Plano, Texas/Onsite

Project description
We are seeking a QA Tester to support end-to-end testing of a Jira data migration initiative involving multiple source repositories being normalized, deduplicated, staged, and migrated into a new Jira configuration. The QA Tester will be responsible for creating and executing test plans, validating migrated data, supporting regression testing, and confirming that archived source data in Snowflake is accurate and usable for reporting.
Responsibilities
Develop QA test plans and test cases for Jira data migration activities.
Validate data extraction, transformation, deduplication, staging, loading, and archival processes.
Perform source-to-target validation between original Jira repositories, staging outputs, target Jira configuration, and Snowflake archive tables.
Test migrated Jira entities including projects, issues, epics, stories, tasks, subtasks, users, comments, attachments, links, workflows, statuses, priorities, labels, custom fields, and history.
Execute functional testing in the target Jira environment to verify usability and configuration alignment.
Validate data completeness, record counts, field mappings, referential integrity, and business rules.
Perform negative testing and exception testing for invalid, missing, duplicate, or inconsistent data.
Support regression testing across multiple migration cycles and dry runs.
Track defects, document findings, retest fixes, and support defect triage.
Validate Snowflake archival data against source repositories and reporting requirements.
Support UAT preparation, execution, and business sign-off.
Produce QA execution summaries, defect reports, and final migration validation reports.
QA test strategy.
Test plans and test cases.
Source-to-target validation scripts.
Data reconciliation reports.
Defect logs and retest evidence.
UAT support materials.
Snowflake archival validation results.
Final migration QA sign-off report.
Skills
Must have
Strong QA/testing experience in data migration, ETL, or enterprise application migration projects.
Strong SQL skills for data validation, reconciliation, and defect investigation.
Experience writing test plans, test cases, test scripts, and test execution reports.
Experience validating source-to-target mappings and transformation rules.
Familiarity with data quality testing, count reconciliation, duplicate detection, and referential integrity checks.
Experience using defect tracking tools, preferably Jira.
Ability to work closely with ETL developers, data analysts, Jira administrators, and business users.
Nice to have
Experience testing Jira migration or Atlassian platform implementations.
Experience with Snowflake validation and reporting data QA.
Experience testing APIs, file-based data loads, and semi-structured data.
Familiarity with tools such as Postman, Python, Excel, Power BI, Tableau, or data comparison utilities.
Experience with Agile testing, sprint-based QA, and UAT coordination.
Experience with migration dry runs, cutover testing, and post-production validation.