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

Lead - Data & Analytics

Addison, TX ยท On-site

$130 - $150/hr

Set engineering standards: data modeling, SQL discipline, dbt patterns, testing, lineage ... Modernize legacy reporting patterns into scalable analytics infrastructure What We're Looking For ...

New

This role combines expertise in data engineering, business intelligence, advanced analytics, and machine learning to deliver scalable data platforms, actionable business insights, and AI-ready data ...

This role combines expertise in data engineering, business intelligence, advanced analytics, and machine learning to deliver scalable data platforms, actionable business insights, and AI-ready data ...

Senior Analytics Engineer - Lima, Peru

Plano, TX ยท On-site

$99K - $134K/yr

Data Quality & Preparation - The engineer is accountable for taking raw data from data engineers ... Analytics Project Leadership Leading analytics projects end-to-end, from scoping and design through ...

Data Analyst/BI Engineer

Plano, TX ยท On-site

$45 - $50/hr

This individual should be able to work across the full analytics lifecycle: sourcing and engineering data, understanding lineage and dependencies, designing curated datasets, applying business logic ...

This individual should be able to work across the full analytics lifecycle: sourcing and engineering data, understanding lineage and dependencies, designing curated datasets, applying business logic ...

Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain in-dept knowledge of business problems and likely solutions. * Demo results and deliver concise ...

Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain in-dept knowledge of business problems and likely solutions. * Demo results and deliver concise ...

Showing results 21-40

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

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

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.

Lead - Data & Analytics

OrthoMed Anesthesia

Addison, TX โ€ข On-site

$130 - $150/hr

Other

Posted 2 days ago

New


Job description

Job Details Job Location: Addison, TX 75001 Salary Range: $130,000.00 - $150,000.00 Per year Lead โ€” Data & Analytics

Location: Addison, TX | On-site, 5 days/week

Type: Full-time

About the Role

We are seeking a handsโ€‘on Principal โ€” Data & Analytics to be the senior technical voice for our data platform: the architect, the standardโ€‘setter, the engineer who builds the data foundation our next decade runs on.

This is a Principal IC role โ€” architecture and execution, not management.

What You'll Do
  • Define and execute the data platform strategy across modern cloud data warehouses and lakehouses (e.g., Snowflake, Databricks, SQL Server) โ€” ingestion, transformation, governance
  • Architect a single source of truth for enterprise KPIs, operational reporting, and AIโ€‘ready datasets
  • Set engineering standards: data modeling, SQL discipline, dbt patterns, testing, lineage, observability
  • Partner with the Data Manager and engineering team โ€” provide technical depth, mentorship, and architectural leadership
  • Own data governance in a regulated environment: sensitive data handling, access controls, audit trails, masking, retention
  • Bridge to BI and AI: model the data layer that powers both reporting and AI/ML workloads
  • Modernize legacy reporting patterns into scalable analytics infrastructure
What We're Looking For
  • 10+ years in data engineering and analytics; 4+ years at Principal / Staff / Lead Architect level
  • Deep expertise across modern cloud data platforms (e.g., Snowflake, Databricks, SQL Server), SQL, Python, dbt, and modern ELT patterns
  • Strong data modeling fundamentals โ€” dimensional, Data Vault, or equivalent
  • Experience designing data platforms in HIPAA, SOC 2, or similarly regulated environments
  • Healthcare or regulatedโ€‘industry experience strongly preferred
  • Track record of leading by architecture and example
Qualifications
  • 10+ years in data engineering and analytics; 4+ years at Principal / Staff / Lead Architect level
  • Deep expertise across modern cloud data platforms (e.g., Snowflake, Databricks, SQL Server), SQL, Python, dbt, and modern ELT patterns
  • Strong data modeling fundamentals โ€” dimensional, Data Vault, or equivalent
  • Experience designing data platforms in HIPAA, SOC 2, or similarly regulated environments
  • Healthcare or regulatedโ€‘industry experience strongly preferred
  • Track record of leading by architecture and example
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