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Senior Data Analytics Engineer Jobs in Texas (NOW HIRING)

Data Analytics Engineer

Houston, TX ยท On-site

$130K - $140K/yr

Data Analytics Engineer Location: Houston TX (4 days in office) Type: Full Time This role is a ... You'll work closely with the Sr. Manager, Data & Analytics, and with business stakeholders across ...

New

Data Analytics Engineer

Spring, TX ยท On-site

$96K - $116K/yr

Data Engineer / Analytics Engineer Location: Spring, TX Local candidates only - must be located within 40 miles of Spring, TX We're looking for a highly experienced Data/Analytics Engineer with 10 ...

Senior Data Engineer with Data Analytics

Irving, TX ยท On-site

$101K - $138K/yr

Senior Data Engineer / Data Analytics Summary Be a part of transformational change where integrity matters, success inspires, and great teams collaborate and innovate. As the fifth-largest bank in ...

Data Analytics Engineer

Crystal City, TX ยท On-site

$99K - $119K/yr

Data Analytics Engineer ID: 1000000059 Location: Crystal City, VA Clearance Level: Obtain Public Trust Level 6 Shift: Standard Day Shift (M-F) Travel Requirements: None More about this job ...

This role combines expertise in data engineering, business intelligence, advanced analytics, and ... As the Senior Data & Analytics Specialist, you will be responsible for, but not limited to, the ...

This role combines expertise in data engineering, business intelligence, advanced analytics, and ... As the Senior Data & Analytics Specialist, you will be responsible for, but not limited to, the ...

Senior Data Analyst

Texas City, TX ยท On-site

$73K - $92K/yr

Work with data engineering teams to understand and validate ETL/ELT pipelines and data sources ... Required Skills * 12+ years of experience in Data Analytics, Business Intelligence, or a related ...

New

Data & Analytics Engineer, AiDP

Austin, TX ยท On-site

$113K - $136K/yr

We are looking for a Data & Analytics Engineer to help design, build, and scale the data foundation that powers this platform. In this role, you will develop robust data pipelines and analytics ...

Data & Analytics Engineer, AiDP

Austin, TX

$113K - $136K/yr

We are looking for a Data & Analytics Engineer to help design, build, and scale the data foundation that powers this platform. In this role, you will develop robust data pipelines and analytics ...

Analytics Engineer

Houston, TX ยท On-site

$99K - $118K/yr

Hybrid - Onsite 4 days per week Reports To: Sr. Manager, Data & Analytics ABOUT THE ROLE We are seeking an Analytics Engineer to join our Data & Analytics team and play a key role in designing ...

Infrastructure Data Analytics Engineer

Irving, TX ยท On-site

$109K - $132K/yr

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This ...

Senior Data Analyst

Lubbock, TX ยท On-site

$60K - $80K/yr

The Senior Data Analyst plays a critical role in advancing these efforts by transforming complex ... Working closely with a cross-functional data team that includes data engineers, software engineers ...

Senior Data Engineer

Austin, TX ยท On-site

$105K - $142K/yr

We're looking for a Senior Data Engineer to design and deliver modern ELT pipelines, scalable architectures, and analytics-ready datasets that accelerate engineers, analysts, and data scientists. You ...

Senior Data Analyst

Katy, TX ยท On-site

$90K - $100K/yr

We are seeking a highly analytical Senior Data Analyst to transform complex business data into ... R, or other statistical programming languages * Experience with AI-assisted analytics and ...

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Showing results 1-20

Senior Data Analytics Engineer information

See Texas salary details

$75.5K

$117.7K

$163K

How much do senior data analytics engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for senior data analytics engineer in Texas is $117,694.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,800.00 and $134,200.00 per year, depending on experience, location, and employer.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

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

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

What are the most commonly searched types of Data Analytics Engineer jobs in Texas?

The most popular types of Data Analytics Engineer jobs in Texas are:

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

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

What cities in Texas are hiring for Senior Data Analytics Engineer jobs?

Cities in Texas with the most Senior Data Analytics Engineer job openings:

Infographic showing various Senior Data Analytics Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $117,694 per year, or $56.6 per hour.

Data Analytics Engineer

DEXTER TECHNOLOGIES INC

Houston, TX โ€ข On-site

$130K - $140K/yr

Full-time

Medical, Dental, Vision

Posted 3 days ago

New


Job description

Benefits:
  • Dental insurance
  • Health insurance
  • Vision insurance

Hi,
We are actively seeking qualified candidates for the following position for our client, who is an industry leader:
 
Data Analytics Engineer
Location: Houston TX (4 days in office)
Type: Full Time 
 
This role is a hybrid, bridging the gap between data engineering and business intelligence.  You'll spend part of your time writing and optimizing SQL — building staging tables, views, and fact/dimension models — and part of your time building semantic models and reports in Power BI. Keeping an eye on our scheduled data pipelines, you’ll handle first-line troubleshooting when something fails. You'll work closely with the Sr. Manager, Data & Analytics, and with business stakeholders across Finance, Operations, and other functions who depend on accurate, well-modeled data.
This is a great fit for someone who wants breadth — real ownership across the data stack — on a team small enough that your work visibly matters.
 
Key Responsibilities
·       Data modeling & SQL: Design, build, and maintain SQL views, staging tables, and fact/dimension models in our Azure SQL data warehouse, including deduplication and business-rule logic (e.g., status-based routing, multi-source reconciliation).
·       Semantic models & reporting: Build and maintain Power BI semantic models — relationships, DAX measures, security roles — and the reports and dashboards built on top of them for business stakeholders and company-wide reporting.
·       Pipeline support: Share responsibility with the Sr. Manager, Data & Analytics for monitoring scheduled Azure Data Factory pipelines and Power BI dataset refreshes. Respond to failures and perform basic troubleshooting.
·       Pipeline modifications: Make minor modifications to existing pipelines to support new or changing business requirements, as your familiarity with the tooling grows. 
·       Business partnership: Partner with business SMEs to translate reporting requests and business logic (commission structures, revenue recognition, inventory rules, etc.) into accurate, well-documented data models.
·       Documentation: Write and maintain documentation for data models, metric definitions, and report logic so that data lineage and ownership are clear beyond any one person.
·       Standards & quality: Follow and help evolve team standards for naming conventions, DAX style, and semantic model design as the team's practices mature.
  • Continuous Improvement: Proactively identify opportunities for process improvements, optimize current data workflows, and incorporate new technologies or tools to enhance data analytics capabilities.
Knowledge and Skills  
Required
·       3+ years in a data-focused role (analytics engineer, BI developer, data analyst, or similar) with hands-on SQL work — comfortable with CTEs, window functions, and reading/writing complex, multi-source views.
·       Solid Power BI experience beyond report formatting — you've built semantic models from scratch and written DAX involving CALCULATE, filter context, and context transition, not just basic aggregations.
·       Dimensional modeling fundamentals (star schemas, slowly changing dimensions).
·       A track record of working directly with business stakeholders to translate ambiguous requirements or business rules into a working data model.
·       Strong attention to detail with data integrity — you double-check your joins and know how a bad join or an inclusive date boundary can quietly break a report.
Preferred
·       Exposure to an ERP or other core business system as a data source (order, invoicing, or GL data) -  you understand that business rules, not just dates, often drive how records should be deduplicated or classified.
·       Understanding of ETL/ELT concepts and working knowledge of orchestration tools like Azure Data Factory or similar tools for automating data pipelines.
·       Familiarity with Microsoft Fabric Administration and Environment (Lakehouses, Dataflows Gen2) — not required, but a plus given our platform direction.
·       Basic Git / source control experience.
·       Python for data tasks.
  • Knowledge of data quality frameworks and data governance practices. 
Qualifications
  • Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field. Master’s degree is a plus.
  • 3+ years in a data-focused role (analytics engineer, BI developer, data analyst, or similar) with hands-on SQL work — comfortable with CTEs, window functions, and reading/writing complex, multi-source views.

Flexible work from home options available.