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

CYNET SYSTEMS

Data Analytics project Manager

Plano, TX · On-site

$85 - $90/hr

Collaborate cross-functionally with engineering, manufacturing, sales, and digital product teams ... Data Analysis/Analytics certifications. * Experience in the automotive industry. * AWS or Azure ...

Navan

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The Travel Product org is seeking a versatile Data Engineer to join our Product Strategy and ... In this hybrid role, you will play a critical part in shaping our analytics infrastructure and ...

MCKESSON

Manager, Data Analytics

Irving, TX

... partnering with engineering to make it happen Minimum Requirement Degree or equivalent and ... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ...

Navan

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The Travel Product org is seeking a versatile Data Engineer to join our Product Strategy and ... In this hybrid role, you will play a critical part in shaping our analytics infrastructure and ...

McKesson

Manager, Data Analytics

Irving, TX · On-site

... partnering with engineering to make it happen Minimum Requirement Degree or equivalent and ... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ...

McKesson

Manager, Data Analytics

Irving, TX · On-site

... partnering with engineering to make it happen Minimum Requirement Degree or equivalent and ... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ...

Hitachi, Ltd.

Data & Analytics Tower Lead

Dallas, TX · On-site

Function Cloud & Data Engineering Our Company We're Hitachi Digital Services, a global digital ... Job Summary Seeking an experienced Data & Analytics Tower Lead to oversee all aspects of the D&A ...

Hitachi

Data & Analytics Tower Lead

Dallas, TX

Function Cloud & Data Engineering Our Company We're Hitachi Digital Services, a global digital ... Job Summary Seeking an experienced Data & Analytics Tower Lead to oversee all aspects of the D&A ...

CCS INC

Data Analytics Project Manager

Plano, TX · On-site

$65 - $75/hr

Bachelor's degree in data science, Information Systems, Business Analytics, Computer Science OR ... Collaborate cross-functionally with engineering, manufacturing, sales, and digital product teams

CCS INC

Project Manager Data Analytics

Plano, TX · On-site

$120 - $180/hr

Bachelor's degree in data science, Information Systems, Business Analytics, Computer Science OR ... Collaborate cross-functionally with engineering, manufacturing, sales, and digital product teams #J ...

CCS INC

Project Manager Data Analytics

Plano, TX · On-site

$65 - $75/hr

Bachelor's degree in data science, Information Systems, Business Analytics, Computer Science OR ... Collaborate cross-functionally with engineering, manufacturing, sales, and digital product teams

CCS INC

Data Analytics Project Manager

Plano, TX · On-site

$90 - $140/hr

Bachelor's degree in data science, Information Systems, Business Analytics, Computer Science OR ... Collaborate cross-functionally with engineering, manufacturing, sales, and digital product teams #J ...

BBB

Manager, AI and Data Analytics

Dallas, TX · On-site

Manage, coach, and grow a high-performing team of data analysts, data engineers, and BI professionals. Establish clear goals, drive accountability, and build long-term team capability * Own the ...

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Showing results 41-60

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

Data Analytics Engineer information

See Frisco, TX salary details

$41.9K

$122.3K

$167.3K

How much do data analytics engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data analytics engineer in Frisco, TX is $122,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,900.00 and $129,600.00 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 popular job titles related to Data Analytics Engineer jobs in Frisco, TX?

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

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

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

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

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

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Frisco, TX as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,252 per year, or $58.8 per hour.

Senior Data Analytics Architect

Codinix Consulting Services

Southlake, TX • On-site

$120 - $150/hr

Other

Posted 16 days ago

Job description

Location: Southlake, TX (100% Onsite)
Employment Type: Full-Time (FTE Only)

Job Overview

We are seeking a highly experienced Senior Data Analytics Architect to lead the design, development, and governance of enterprise-scale data architecture and analytics solutions. This role requires deep expertise in modern cloud data platforms, particularly Google Cloud Platform (GCP), with a strong focus on BigQuery, data warehousing, and enterprise data strategy. The ideal candidate will provide architectural leadership, define data roadmaps, and enable scalable, secure, and high-performance data ecosystems that support advanced analytics and business decision-making.

Key Responsibilities
  • Define and drive enterprise-wide data architecture strategy, roadmap, and governance frameworks across the organization.
  • Design and implement scalable data warehouse and analytics solutions supporting complex business requirements.
  • Lead end-to-end architecture of modern data ecosystems using Google Cloud Platform (GCP) services, with deep expertise in BigQuery.
  • Architect and optimize data pipelines using Informatica IDMC and related data integration tools.
  • Develop and optimize complex SQL queries and Python-based data processing workflows for analytics and transformation.
  • Provide technical leadership and guidance to development and production support teams on data engineering best practices.
  • Collaborate with business stakeholders to translate requirements into scalable data solutions and analytics capabilities.
  • Ensure data solutions align with enterprise standards for performance, scalability, security, and compliance.
  • Evaluate and implement modern data architecture patterns, including cloud-native and AI/ML-ready data platforms.
  • Drive data quality, governance, and metadata management practices across enterprise systems.
Mandatory Skills & Qualifications
  • 15+ years of experience in Data Architecture, Data Analytics, Data Governance, and Data Warehousing with strong architectural leadership.
  • Proven experience defining and executing enterprise data strategies and roadmaps.
  • Strong hands-on experience with Google Cloud Platform (GCP), especially BigQuery.
  • Expertise in Informatica IDMC for data integration and management.
  • Advanced proficiency in complex SQL and Python for data engineering and analytics.
  • Experience designing and implementing enterprise data warehouse and analytics solutions.
  • Ability to support both development and production data systems.
  • Strong stakeholder management, communication, and business-facing skills.
  • GCP Certification required (Professional Data Engineer or Cloud Architect).
Good to Have Skills
  • Experience with GCP Pub/Sub and Cloud Composer for data orchestration and streaming pipelines.
  • Exposure to AI/ML-ready data architecture design and enabling machine learning workloads.
  • Experience with BigQuery data modeling and Enterprise Data Catalog (EDC) tools.
  • Strong understanding of cloud cost optimization strategies.
  • Prior consulting experience or exposure to large-scale enterprise environments.
  • Knowledge of security, privacy, and compliance frameworks in enterprise data platforms.
Soft Skills
  • Strong analytical and problem-solving mindset
  • Excellent communication and stakeholder engagement abilities
  • Ability to influence architectural decisions across multiple teams
  • Strong leadership in guiding technical teams and driving enterprise alignment
  • Comfortable working in a high-responsibility, onsite enterprise environment
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