ZipRecruiter

Log In

1

Analytics Engineer Jobs in Plano, TX (NOW HIRING)

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 ...

Stellus RX

Senior Analytics Engineer - Lima, Peru

Plano, TX · On-site

$99K - $134K/yr

The Senior Analytics Engineer for Stellus Rx will help our communities thrive as a key member of the Technology Team . You will work closely with Stellus Rx leaders and across the organization as we ...

Us Bank

Infrastructure Data Analytics Engineer

Irving, TX · On-site

$105 - $124/hr

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

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 ...

Ericsson

Senior AI Analytics Engineer

Plano, TX · On-site

$100K - $137K/yr

As Senior AI Analytics Engineer, you will design and ship the AI agents, applications, and automations that change how our organization works - agents that answer executive questions in seconds ...

Brooksource

Data Engineer

Dallas, TX · On-site

$55 - $60/hr

Analytics Engineer/Data Engineer Dallas, TX Hybrid: 3 days a week, 2 Days Remote $55-$60/hour - Depending on Experience 3 Month Contract to Hire - W-2 with Brooksource **U.S. Citizens and all other ...

ettain group

Analytics Developer

Addison, TX

Company Description Analytics Developer Summary Work for a globally recognized retail company that has a high influence with entrepreneurs. This $3.5 Billion company has been established for over 50 ...

ettain group

Analytics Developer

Addison, TX · On-site

Company Description Analytics Developer Summary Work for a globally recognized retail company that has a high influence with entrepreneurs. This $3.5 Billion company has been established for over 50 ...

previous pagenext page

Showing results 21-40

All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Plano, TX

Analytics Engineer information

See Plano, TX salary details

$60.4K

$105.4K

$172K

How much do analytics engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for analytics engineer in Plano, TX is $105,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,740.00 and $118,352.00 per year, depending on experience, location, and employer.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

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

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary by experience, location, and industry. They often have skills in SQL, data modeling, and tools like Python or Spark, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

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

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

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

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

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

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

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

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

Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Plano, TX as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $105,441 per year, or $50.7 per hour.

Quantitative Analytics Engineer

Charles Schwab

Westlake, TX • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 10 days ago

Job description

Your opportunity

The mission of Corporate Risk Management is to provide an integrated risk management strategy that supports the delivery of predictable financial and operational performance and produces successful client and shareholder outcomes. Corporate Risk Management serves as Schwab’s second line of defense by providing independent assessments of the firm’s risk, using models, controls, and systems to measure financial, operational, compliance, and legal risks to Schwab’s business, employees, and customers.

In this role, your primary responsibility on the Margin Risk & Data Solutions team will be to lead data science projects focused on Schwab’s margin and trading data. You will evaluate client and market data to detect risk patterns using modeling and analysis techniques, then convert that knowledge into functional models that help dictate and challenge how that risk is managed. From there, you will be responsible for model documentation, development evidence, and performance monitoring for our production models. Successful candidates will also have strong experience analyzing, manipulating, and visualizing large datasets. This is an Individual Contributor role.

This position is posted in Omaha, Chicago, Austin, Southlake, and Westlake. Qualified internal Schwab employees outside of these markets are encouraged to apply. Location flexibility for strong internal candidates may be considered based on business needs, seat availability, and organizational alignment. We encourage employees not to self-select out of consideration based solely on location.
What you have
  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, Data Science, Finance or related field.
  • 5+ years of experience in model development, preferably in financial services.
  • 5+ years of experience with SQL, data manipulation, and data visualization.
  • Strong Python skills; experience with data analysis and manipulation frameworks (Pandas, NumPy, PySpark, etc).
  • Strong fundamentals in option models and retail derivatives trading. Experience with option and equity trading models and brokerage margin policies, particularly Black-Scholes, binomial option models, value-at-risk techniques, futures SPAN margin, Monte Carlo methods, and regression.
  • Ability to manage multiple deliverables and drive process improvements.
  • Excellent communication skills and documentation abilities.

What you’ll do:

  • Design, improve, and deploy equity option and exposure models for financial risk analytics, focusing on margin and trading data.
  • Lead the management and maintenance of retail trading data sets.
  • Collaborate with internal developers and architects to connect models with core banking platforms and workflows.
  • Document model development, deployment processes, and integration steps for internal and external review.
  • Analyze large datasets, identify risk patterns, and translate insights into actionable models.
  • Present technical approaches and results to management, auditors, and business partners.
  • Contribute to an Agile team, iterating quickly and delivering impactful solutions.

Nice to Haves:

  • Knowledge of brokerage business processes and regulatory requirements.
  • Exposure to other cloud platforms (AWS, Azure, GCP) and hybrid cloud architectures.
  • Experience with automation and DevOps platforms.
  • Experience with C# or Java service-based architectures.
  • Experience with data science and implementing machine learning

What’s in it for you

At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you – both today and in the future:

  • 401(k) with company match and Employee stock purchase plan
  • Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
  • Paid parental leave and family building benefits
  • Tuition reimbursement
  • Health, dental, and vision insurance

Apply