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Senior Data Analytics Engineer Jobs in Texas (NOW HIRING)

Skanska USA

Data Analytics Engineer

Houston, TX

$109K - $131K/yr

The Data Analytics Engineer plays a crucial role in designing, implementing, and supporting enterprise data initiatives and analyses. The Data Analytics Engineer focuses on creating intuitive data ...

Skanska USA

Data Analytics Engineer

San Antonio, TX · On-site

$103K - $124K/yr

The Data Analytics Engineer plays a crucial role in designing, implementing, and supporting enterprise data initiatives and analyses. The Data Analytics Engineer focuses on creating intuitive data ...

Skanska USA

Data Analytics Engineer

Dallas, TX

$113K - $136K/yr

The Data Analytics Engineer plays a crucial role in designing, implementing, and supporting enterprise data initiatives and analyses. The Data Analytics Engineer focuses on creating intuitive data ...

Apple

Data & Analytics Engineer, AiDP

Austin, TX · 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 ...

Daimler

Data Analytics Engineer

Fort Worth, TX · On-site

$102K - $123K/yr

Analytical skills * Ability to collect data and establish facts and identify trends and variances * Facilitation skills * IT skills * Database * Programming * Application development * PC skills

Apple

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 ...

Alliance Credit Union

Senior Data Analyst

Lubbock, TX · 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 ...

McLane Company

Sr Data Engineer

Austin, TX

$114K - $137K/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 ...

1 point system

Senior Data Engineer

Austin, TX · 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 ...

CHRISTUS Health

Data Analytics Engineer II

Irving, TX · On-site

$109K - $132K/yr

Data Analytics Engineer II Position Location: 5101 N. O'Connor Blvd, Irving, TX 75039 Hours: Monday - Friday, 9:00 am to 5:00 pm Summary of Duties: * Responsible for analyzing and understanding data ...

PureWay Compliance, Inc.

Senior Data Analyst

Katy, TX

$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 ...

SWBC

Senior Data Analyst

San Antonio, TX · On-site

$77K - $97K/yr

SWIVEL is seeking a talented individual to work with Data Scientist, Data Engineers, and BI ... Bring your analytics research knowledge to work alongside various business units by providing ...

Swbc

Senior Data Analyst

San Antonio, TX

$77K - $97K/yr

SWIVEL is seeking a talented individual to work with Data Scientist, Data Engineers, and BI ... Bring your analytics research knowledge to work alongside various business units by providing ...

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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 Jul 19, 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 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.

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 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.

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 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 are popular job titles related to Senior Data Analytics Engineer jobs in Texas? For Senior Data Analytics Engineer jobs in Texas, the most frequently searched job titles 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:
Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics Engineer job openings in Texas as of July 2026, with employment types broken down into 1% Internship, 92% Full Time, 4% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $117,694 per year, or $56.6 per hour.
Senior Data Analytics Engineer

Senior Data Analytics Engineer

Riot Platforms

Austin, TX • On-site

Full-time

Medical, Retirement

Re-posted 8 days ago

Riot Platforms rating

8.3

Company rating: 8.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

27th of 217 rated facilities management

Job description

About Riot Platforms
Riot's (NASDAQ: RIOT) vision is to be the world's most trusted platform for powering and building digital infrastructure. Riot's mission is to empower the future of digital infrastructure by positively impacting the sectors, networks, and communities that we touch. We believe that the combination of an innovative spirit and strong community partnership allows us to achieve best-in-class execution and create successful outcomes.
Who we are
At Riot, we're building the future of digital infrastructure. Our team members have unparalleled opportunities to work on groundbreaking initiatives. Through technical excellence and strategic execution, Riot has positioned itself as a leader in the industry driving advancements that continue to set new benchmarks in digital infrastructure.
We are trailblazers. Problem solvers. People who thrive in fast paced environments, communicate clearly, and bring relentless focus to efficiency and execution.
About the role
Riot Platforms is looking for a Senior Data Analytics Engineer to build and scale the data foundation that powers decision-making across the business. You'll own data models end-to-end, connect data across our ERP, project management, and operational platforms, and deliver reliable reporting through our BI stack - providing visibility across our Data Center, Bitcoin Mining, and Manufacturing operations.
This isn't a dashboard-building role - you'll be shaping the data models, metric definitions, and reporting frameworks that business leaders depend on. If you thrive on turning complex, fragmented data into clear, trusted insight, this is a high-impact opportunity to leave a lasting mark on how Riot scales analytics.
What you'll do
  • Build the core analytics data model - Design and maintain scalable fact and dimension models in our cloud data warehouse that support enterprise reporting and analysis.
  • Create a trusted reporting layer across business systems - Integrate and model data from ERP, financial, project management, and operational platforms (e.g., NetSuite, Procore, Epicor, Snowflake, Timestream) to create a consistent source of truth.
  • Preserve critical business context across systems - Identify where important financial or operational detail is lost in source systems or handoffs, and design data structures that retain the fidelity needed for analysis.
  • Establish modeling standards and analytics best practices - Help define scalable approaches to naming, structure, metric logic, testing, and maintainability across the analytics environment.
  • Deliver meaningful reporting and dashboards - Build and maintain dashboards and semantic models in our BI tooling that give stakeholders visibility into financial performance, project execution, and operational KPIs.
  • Partner directly with stakeholders to solve ambiguous problems - Translate real business questions - such as cost overruns, efficiency gaps, and project performance - into clear datasets, metrics, and reporting solutions.
  • Support planning and forecasting workflows - Maintain and improve planning and budgeting environments to help align planning, forecasting, and actual performance.
  • Standardize KPIs across teams - Work with Finance, IT, Continuous Improvement, Operations, and other functions to define, document, and govern consistent metrics across the organization.

What you'll bring
  • Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field - equivalent experience considered.
  • 5+ years of experience in analytics engineering, data engineering, BI, or a related data role.
  • Expert-level SQL - Comfort with complex joins, window functions, CTEs, set-based logic, and query optimization across large datasets. Able to read, refactor, and tune SQL written by others.
  • Modern cloud data warehousing - Strong hands-on experience with at least one modern cloud warehouse (Snowflake, BigQuery, Databricks, Redshift, or similar). Snowflake experience preferred.
  • Dimensional modeling - Deep understanding of star/snowflake schemas, slowly changing dimensions, and scalable analytics structures.
  • Modern BI / semantic-layer tooling - Hands-on experience with Power BI, Tableau, Looker, Sigma, Grafana, or similar. Strong DAX or equivalent semantic-layer skills preferred.
  • ERP & operational data - Experience integrating data from ERP, financial, project management, or other operational systems (NetSuite, Epicor, Procore, SAP, Oracle, Workday, or similar).
  • Problem-solving - Strong analytical skills and the ability to work through loosely defined business questions while managing multiple priorities.
  • Communication - Excellent communication skills to effectively interact with both technical and non-technical stakeholders.
  • Cross-functional comfort - Thrives in an environment where priorities span finance, operations, and analytics.

Nice to have
  • Experience with NetSuite Planning & Budgeting (NSPB) or other Essbase-based planning tools.
  • Familiarity with dbt or similar transformation frameworks.
  • Working knowledge of Python or another scripting language for data work.
  • Exposure to data ingestion / orchestration tooling (Fivetran, Airbyte, Airflow, Dagster, ADF, or similar).
  • Experience with version control and CI/CD workflows for analytics code.
  • Experience integrating AI into analytics and data engineering workflows.
  • Experience in manufacturing, construction, energy, mining, data center, or other capital-intensive industries.

Compensation and Benefits
  • Competitive Salary: Base range (commensurate with experience) + bonus + sign-on equity grant.
  • Long-Term Growth: Eligible to participate in Riot's equity incentive programs and share in the success you help build.
  • 401(k) Retirement Plan: Incudes a generous company match.
  • Comprehensive Health Coverage: Multiple medical plan options, including 100% company-paid plans.
  • Wellness & Lifestyle Perks: Enjoy free gym memberships, pet insurance, childcare discounts, and more to support your life both in and out of work.

Riot is an equal opportunity employer. We are committed to creating an inclusive environment for all employees.

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