Senior Data Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 13, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Senior Data Engineer Irving, TX, United States Hilltop Holdings is looking for a Senior Data Engineer! The Senior Data Engineer is a key technical leader responsible for the design, maintenance, and optimization of enterprise data systems across on-premises and cloud environments. This hybrid role combines traditional DBA responsibilities with advanced engineering work in Microsoft Azure and Microsoft Fabric. The ideal candidate brings deep experience in database administration, data platform modernization, and cloud-based architecture, particularly in leading on-prem to Azure migrations. Traditional DBA Responsibilities: Administer, monitor, and maintain high-availability SQL Server environments (OLTP/OLAP). Perform daily operational DBA tasks: backups, restores, index maintenance, integrity checks, performance tuning, and job management. Implement and manage HA/DR solutions (AlwaysOn, failover clustering, log shipping, etc.). Troubleshoot database performance issues using tools like SQL Profiler, Query Store, and DMVs. Enforce database security, compliance policies, user access controls, and role-based permissions. Maintain documentation for data systems, configurations, and standard operating procedures. Maintain db replication: Qlik Attunity, Shadowbase, SQL Log Shipping Understanding of dimensional modeling concepts. Cloud Data Engineering (Azure): Maintain Azure SQL, Azure Synapse, and Azure Data Lake environments. Execute on-prem to Azure migration projects, including re-platforming, data replication, and testing. Optimize cost, performance, and scalability of cloud-based data solutions. Implement monitoring and alerting across cloud environments using tools like Azure Monitor and Log Analytics. Participate in the deployment and configuration of Microsoft Fabric for enterprise data workloads. Ensure compatibility between legacy systems and Fabric components to support unified analytics. Collaborate with data architects to modernize data platforms

Read the full description at ejlu.fa.us2.oraclecloud.com. FewerJobs shows a preview and links to the original posting.