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

Epiroc

Analytics Engineer

Garland, TX · On-site

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 ...

Acro Service Corp.

Data Analytics Manager

Plano, TX · On-site

$70 - $80/hr

Description: seeking for highly motivated and tech-savvy entry-level Data analytics engineer to join our analytics team. If you''''re passionate about turning data into insights and enabling smarter ...

Epiroc

Analytics Engineer

Garland, TX · On-site

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 ...

StandardAero

Sr. Data Analytics Developer

Dallas, TX · On-site

As a Senior Data Analytics Developer, you have deep experience in data analysis, data transformation, data modelling and Power BI report/ dashboard development. Using this skillset, you will work ...

Prologis

Program Director, Data & Analytics

Dallas, TX · On-site +1

You will connect strategy to execution across Data Engineering, Analytics Engineering, and Data Visualization, ensuring teams deliver trusted, scalable data products that enable smarter, faster ...

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

Data Analytics Engineer information

See Frisco, TX salary details

$41.7K

$121.6K

$166.4K

How much do data analytics engineer jobs pay per year?

As of Aug 3, 2026, the average yearly pay for data analytics engineer in Frisco, TX is $121,620.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $128,900.00 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.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

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.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

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 systems 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 deliver actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in Frisco, TX? The most popular types of Data Analytics Engineer jobs in Frisco, TX are:
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 July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $122,252 per year, or $58.8 per hour.

Analytics Engineer

Epiroc

Garland, TX • On-site

Full-time

Re-posted 22 days ago

Epiroc USA rating

8.9

Company rating: 8.9 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

35th of 487 rated machine equipment manufacturers

Job description

Job Summary:
Epiroc is a global productivity partner for mining and construction customers, focused on sustainable solutions. 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 stakeholders.
Responsibilities:
• Translate business needs into scalable data models, technical specifications, and delivery plans
• Design and maintain modern data platforms (warehouse / lakehouse) using Microsoft Fabric and Databricks
• Develop and deliver Power BI dashboards and reports, including advanced calculations and visualizations
• Enable data‑driven decisions by defining KPIs and delivering actionable insights
• Build and optimize data pipelines using SQL and Python for efficient data transformation
• Drive data quality, documentation, and continuous improvement of analytics platforms and processes
Qualifications:
Required:
• Strong expertise in SQL, including complex queries, performance tuning, and data optimization
• Proven experience with Python and Databricks for data engineering, transformation, and pipeline development
• Hands-on experience with Microsoft Fabric and Power BI for building scalable analytics solutions and dashboards
• Solid understanding of data modeling techniques to translate business requirements into structured datasets
• Experience defining, tracking, and analyzing KPIs to support data-driven decision-making
• Ability to work effectively in agile, cross-functional environments, collaborating with business and technical stakeholders
• Strong business mindset, translating stakeholder needs into clear analytical solutions and data models
• Proactive and ownership-driven, independently identifying data issues, gaps, and improvement opportunities
• Highly collaborative, working effectively with business users, analysts, and engineering teams
• Detail-oriented with a strong focus on data quality, accuracy, and reliability
• Strong problem-solving approach, combining SQL, Python, Databricks, and Fabric to deliver scalable solutions
• Communicative and transparent, able to explain technical concepts clearly to non-technical stakeholders
• Continuous learner, staying current with modern data platform capabilities and analytics engineering best practices
Company:
Epiroc is a productivity partner for the mining, infrastructure and natural resources industries. Founded in 2018, the company is headquartered in Norsborg, SWE, with a team of 10001+ employees. The company is currently Late Stage.

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