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

Infrastructure Data Analytics Engineer

Irving, TX · On-site

$109K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

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They are seeking an Analytics Engineer to join their Global Data Analytics team, where the role involves delivering scalable analytics solutions by translating business needs and collaborating with ...

Analytics Engineer

Garland, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for an Analytics Engineer to join our Global Data Analytics team and help deliver modern, businesscritical analytics solutions at scale. You will work at the intersection of business ...

Analytics Engineer

Garland, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for an Analytics Engineer to join our Global Data Analytics team and help deliver modern, business-critical analytics solutions at scale. You will work at the intersection of business ...

Our Data and Analytics solutions (DAS) department is seeking for highly motivated and tech-savvy entry-level Data analytics engineer to join our analytics team. If you're passionate about turning ...

Analytics Engineer III

Irving, TX · On-site

$109K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Analytics Engineer III role is responsible for bridging the gap between, data miners, product managers, and other Data Science & Engineering teams, and mentoring junior members of the analytics ...

Director, Data Analytics Engineering

Irving, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Director will lead a team of analytics engineering managers and partner closely with Data Engineering, AI/ML Engineering, Product Management, Architecture, Platform Engineering, and business ...

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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 ...

Senior Analytics Engineer

Dallas, TX · On-site +1

$103K - $142K/yr

The Sr. Analytics Engineer is responsible for leading complex analytical engineering initiatives, ensuring data readiness across engagements, and serving as a technical expert within the organization.

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Data Analytics Engineer information

See Plano, TX salary details

$42.6K

$124.1K

$169.7K

How much do data analytics engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data analytics engineer in Plano, TX is $124,051.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $131,500.00 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 are the most commonly searched types of Data Analytics Engineer jobs in Plano, TX?

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

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

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

Infographic showing various Data Analytics Engineer job openings in Plano, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $124,051 per year, or $59.6 per hour.

$65 - $75/hr

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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.