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Senior Data Analytics Engineer Jobs in Irving, TX

HCVT

Senior Data & Analytics Specialist

Fort Worth, TX · On-site

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 ...

HCVT

Senior Data & Analytics Specialist

Fort Worth, TX · Hybrid

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 ...

US Bank

Infrastructure Data Analytics Engineer

Irving, TX · 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 ...

Expeditors

Data Engineer III/Senior (Analytics)

Irving, TX · On-site

$101K - $138K/yr

A Successful Data Engineer III / Senior Data Engineer: * Building enterprise analytics solutions using Microsoft Fabric, Databricks, SQL, Python, and Power BI. * Design and develop semantic models ...

Expeditors

Data Engineer III/Senior (Analytics)

Irving, TX · On-site

$101K - $138K/yr

A Successful Data Engineer III / Senior Data Engineer: * Building enterprise analytics solutions using Microsoft Fabric, Databricks, SQL, Python, and Power BI. * Design and develop semantic models ...

Charter Global, Inc.

Senior Data Engineer

Dallas, TX · On-site

$105K - $143K/yr

Do you enjoy data analysis, data modeling, and creating ETL data flows? Are you looking for an opportunity to leverage your development skills in the financial services space? As a senior engineer ...

Allworth Financial

Sr. Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The position will work with the Analytics & Insights team at Allworth Financial to optimize the ... We are looking for a Senior Data Engineer, or similarly experienced data modernization professional ...

Tiger Analytics

Lead Data Engineer - AWS

Dallas, TX · On-site

$113K - $136K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm seeking an experienced Senior Data Engineer to join their team. The role focuses on building scalable Generative AI architectures ...

Lantern

Senior Data & AI Consultant

Dallas, TX · On-site

$104K - $142K/yr

Senior Data & AI Consultant Position Summary We are seeking a Senior Consultant for our Data & AI ... Fabric Analytics Engineer Associate * Microsoft Certified: Azure Data Engineer Associate

Perficientcorp Inc

Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Sr. Data Engineer - Fort Worth, TX (3 Days Onsite) Description: Minimum Qualifications- Education ... GitHub, Jenkins, Azure DevOps, Terraform BI Analytics Tool Stack - Cognos, Tableau, Power BI ...

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Senior Data Analytics Engineer information

See Irving, TX salary details

$77.8K

$121.3K

$168K

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

As of Aug 29, 2026, the average yearly pay for senior data analytics engineer in Irving, TX is $121,306.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,800.00 and $138,300.00 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 Irving, TX?

The most popular types of Data Analytics Engineer jobs in Irving, TX are:

What are popular job titles related to Senior Data Analytics Engineer jobs in Irving, TX?

For Senior Data Analytics Engineer jobs in Irving, TX, the most frequently searched job titles are:

What job categories do people searching Senior Data Analytics Engineer jobs in Irving, TX look for?

The top searched job categories for Senior Data Analytics Engineer jobs in Irving, TX are:

What cities near Irving, TX are hiring for Senior Data Analytics Engineer jobs?

Cities near Irving, TX 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 Irving, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $121,306 per year, or $58.3 per hour.

Data Analytics Engineer

Dallas, TX • On-site

ExcelHire LLC - ATS TESTING
See more jobs at ExcelHire LLC - ATS TESTINGexternal

$65 - $75/hr

Other

Posted 16 days ago

Job description

Data Analytics Engineer

Job Title: Data Analytics Engineer
Location: Dallas, TX, USA
Job Type: Contract
Work Mode: Hybrid
Start Date: 2026-09-01
End Date: 2027-08-31
Duration: 12 Months, with possible extension
Experience: 5–8 Years
Pay Rate: $65–$75/hour, depending on experience
Tax Terms: W-2 / C2C / 1099

Job Summary

We are seeking an experienced Data Analytics Engineer to design, develop, and maintain scalable data solutions that support business intelligence, reporting, and advanced analytics. The ideal candidate will have strong experience in data engineering, SQL, cloud data platforms, data modeling, ETL/ELT pipelines, and analytics tools.

Responsibilities

  • Design and develop scalable ETL/ELT pipelines for analytics and reporting.

  • Extract, transform, and integrate data from multiple sources.

  • Develop complex SQL queries, stored procedures, and data transformations.

  • Design and maintain data warehouses, data lakes, and analytical data models.

  • Build and optimize data pipelines using Python, SQL, or similar technologies.

  • Work with cloud platforms such as AWS, Azure, or Google Cloud Platform.

  • Develop dashboards, reports, and analytical datasets for business stakeholders.

  • Work with Power BI, Tableau, or similar business intelligence tools.

  • Perform data validation, cleansing, quality checks, and reconciliation.

  • Optimize queries and data pipelines for performance and scalability.

  • Collaborate with data scientists, business analysts, developers, and stakeholders.

  • Implement data governance, security, and access-control practices.

  • Monitor data pipelines and troubleshoot data quality or processing issues.

  • Support real-time and batch data processing requirements.

  • Maintain technical documentation for data models, pipelines, and processes.

  • Participate in Agile/Scrum ceremonies and cross-functional team activities.

Required Technical Skills

  • 5+ years of experience in Data Analytics, Data Engineering, or a related field.

  • Strong hands-on experience with SQL and relational databases.

  • Strong experience with Python for data processing and automation.

  • Experience developing ETL/ELT pipelines.

  • Experience with data warehousing and dimensional data modeling.

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

  • Experience with Snowflake, Databricks, BigQuery, Redshift, or Azure Synapse.

  • Experience with Power BI, Tableau, or similar BI tools.

  • Strong understanding of data quality and data governance.

  • Experience with Git and version-control systems.

  • Knowledge of data integration and API-based data sources.

  • Strong analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field.

  • Experience with Apache Spark or other distributed data processing technologies.

  • Experience with Apache Airflow or similar workflow orchestration tools.

  • Experience with Kafka or real-time data processing.

  • Experience with cloud-based data lakes and lakehouse architectures.

  • Knowledge of CI/CD and automated data deployment processes.

  • Experience with advanced analytics and machine-learning data preparation.

  • Experience working in enterprise-scale data environments.

  • AWS, Azure, Google Cloud Platform, Snowflake, or Databricks certification is preferred.

  • Strong communication and stakeholder-management skills.

Contract Details

Start Date: 2026-09-01
End Date: 2027-08-31
Initial Duration: 12 Months
Extension: Possible based on project requirements and performance
Hours: Full-Time, approximately 40 hours/week
Work Arrangement: Hybrid
Location: Dallas, Texas, USA

Tax / Employment Terms

Available employment options include W-2, C2C, and 1099, subject to client requirements, candidate eligibility, and applicable U.S. laws.

Work Authorization

Candidates must have valid authorization to work in the United States. Specific work-authorization requirements may vary based on the client and tax/employment type.

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