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Data Analytics Engineer Jobs in Dallas, TX (NOW HIRING)

Citi

Data Analytics Lead Engineer

Irving, TX · Hybrid

$125K - $188K/yr

Citi is looking for a Data Analytics Lead Engineer to design, build, and operate scalable data pipelines and cloud-based data architectures within our Lending business, spanning Mortgage and Personal ...

Vari

Analytics Engineer

Coppell, TX · On-site

... analysis, and delivering Power BI reports and dashboards that stakeholders use and trust ... The remaining focus (~25%) supports the data engineering side, contributing to star schema design ...

New

Citi

Data Analytics Lead Engineer

Irving, TX · Hybrid

$125K - $188K/yr

Citi is looking for a Data Analytics Lead Engineer to design, build, and operate scalable data pipelines and cloud-based data architectures within our Lending business, spanning Mortgage and Personal ...

Citigroup, Inc.

Data Analytics Lead Engineer

Irving, TX · On-site

$125K/yr

Citi is looking for a Data Analytics Lead Engineer to design, build, and operate scalable data pipelines and cloud-based data architectures within our Lending business, spanning Mortgage and Personal ...

Raytheon

Senior Affordability Data Analyst

Mckinney, TX

$79K - $100K/yr

Raytheon brings the strength of more than 100 years of experience and renowned engineering ... Experience performing data analytics in a professional environment. * Experience with MATLAB ...

New

Raytheon

Senior Affordability Data Analyst

Mckinney, TX · On-site

$79K - $100K/yr

Raytheon brings the strength of more than 100 years of experience and renowned engineering ... Experience performing data analytics in a professional environment. * Experience with MATLAB ...

New

Select Minds LLC

Predictive Analytics Engineer

Dallas, TX · On-site

$100K - $120K/yr

Opportunity for advancement Data Scientist / Predictive Analytics Engineer Location: Dallas, TX (Hybrid, 3 days onsite per week) Employment Type: Full-Time / Contract (W2) Duration: Long-Term Work ...

Baker Botts Llp

Analytics Engineer

Dallas, TX · On-site

ABOUT THE ROLE Baker Botts is building its Enterprise Data Services team and is seeking an Analytics Engineer to help transform enterprise data into trusted, analytics-ready assets that support ...

Select Minds LLC

Predictive Analytics Engineer

Dallas, TX · On-site

$100K - $120K/yr

Opportunity for advancement Data Scientist / Predictive Analytics Engineer Location: Dallas, TX (Hybrid, 3 days onsite per week) Employment Type: Full-Time / Contract (W2) Duration: Long-Term Work ...

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Showing results 1-20

All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Dallas, TX

Data Analytics Engineer information

See Dallas, TX salary details

$44K

$128.4K

$175.7K

How much do data analytics engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data analytics engineer in Dallas, TX is $128,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,100.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are the most commonly searched types of Data Analytics Engineer jobs in Dallas, TX?

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

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

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

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

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

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

Cities near Dallas, TX with the most Data Analytics Engineer job openings:

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Dallas, TX as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $128,374 per year, or $61.7 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

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Design, develop, and maintain scalable data solutions such as ETL/ELT pipelines, data warehouses, data lakes, and analytical data models.

  • Extract, transform, and integrate data from multiple sources, and develop complex SQL queries and data transformations.

  • Develop dashboards, reports, and analytical datasets for business stakeholders, and monitor data pipelines for quality and performance.

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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