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Senior Data Engineer

Hilltop Holdings Open
On-site Dallas Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at Hilltop Holdings. Dallas · full-time · no salary stated · we estimate $142,325–$192,038 across the United States.

Estimated pay

Hilltop Holdings has not published a salary for this role. The figure below is our estimate, not theirs.

$142,325 – $192,038
What the middle half of senior data engineering roles in the United States paid, among postings that did state a salary.
Worked out from 526 postings that stated pay, median $162,500. Last updated Nov 6, 2026.
RoleData Engineering
SenioritySenior
LocationDallas
WorkplaceOn-site
EmploymentFull-time
PostedSep 30, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Keep SQL Server databases available and healthy through backups, restores, index work, integrity checks, tuning and job administration
  • Move on-premises data systems to Azure, handling platform changes, replication and migration testing
  • Maintain Azure SQL, Synapse and Data Lake services, improving cloud cost, speed and scale
  • Set up Azure monitoring and alerts, and help deploy Microsoft Fabric for enterprise workloads
  • Guide junior engineers, review their work and advise on database and cloud architecture

What you bring

  • At least seven years working as a database administrator or data engineer
  • Two or more years of practical experience with Azure Data Services
  • You have led migrations from on-premises systems to Azure and used replication tools such as Qlik Attunity or Shadowbase
  • Strong T-SQL skills, including indexing, partitioning and query tuning
  • A high school diploma or GED plus relevant experience; a related bachelor’s degree is preferred

Who this fits

This senior role suits a hands-on data engineer who can combine database operations with Azure platform work and mentor junior colleagues. The position is onsite in Dallas, and you must be able to work in the U.S. without current or future sponsorship.

From the employer

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 and contribute to data governance initiatives.

Collaboration & Leadership:

  • Work cross-functionally with Data Architects, BI Developers, and Infrastructure teams.
  • Mentor junior engineers and provide peer reviews for code, queries, and processes.
  • Act as SME for database infrastructure and cloud architecture in planning and strategy sessions.
  • Maintain awareness of industry best practices and emerging trends in data engineering.
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field preferred. Combination of equivalent relevant work experience and high school diploma or GED required.
  • 7+ years of experience as a Database Administrator or Data Engineer.
  • 2+ years of hands-on experience with Azure Data Services
  • Experience leading on-prem to Azure migrations.
  • Experience with replication tools: Qlik Attunity, Shadowbase, SQL log shipping
  • Familiarity with Microsoft Fabric, including Lakehouse and Data Warehouse workloads.
  • Strong T-SQL skills and knowledge of indexing, partitioning, and query optimization.
  • Experience with CI/CD, scripting, and automation in PowerShell, Python, or Azure DevOps.
  • Excellent problem-solving, communication, and documentation skills.
  • Highly motivated individual with strong sense of ownership.
  • Must be proactive with solid organizational and time management skills.
  • Exceptional written and verbal skills.

*Must be eligible to work in the U.S. without sponsorship now or in the future.*

The above statements are intended to describe the general nature and level of work being performed by individuals in, or assigned to, the above position and are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required, and may be changed at the discretion of the Company.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.