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Software Engineer Data Analyst Jobs in Frisco, TX

Dave & Buster's

Data Analyst (ON-SITE IN DFW)

Coppell, TX · On-site +1

The Data Analyst serves as a key partner to business and technology teams by converting complex ... The position will work closely with business stakeholders, Data Engineering, Data Architecture, and ...

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MAQ Software

Software Data Operations Engineer

Plano, TX · On-site

$107K - $128K/yr

Software Data Operations Engineer  Plano (Dallas), Texas About MAQ Software MAQ Software enables ... analytics initiatives. Our AI-powered solutions enable clients to improve their productivity ...

MAQ Software

Software Data Operations Engineer

Plano, TX · On-site

$107K - $128K/yr

Software Data Operations Engineer Plano (Dallas), Texas About MAQ Software MAQ Software enables leading companies to accelerate their business intelligence and analytics initiatives. Our AI-powered ...

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Showing results 21-40

All JobsSoftware Engineer Data Analyst JobsSoftware Engineer Data Analyst Jobs in Frisco, TX

Software Engineer Data Analyst information

See Frisco, TX salary details

$41.9K

$122.3K

$167.3K

How much do software engineer data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for software engineer data analyst 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.

What is a software engineer data analyst?

A Software Engineer Data Analyst is a professional who combines software engineering skills with data analysis expertise to extract insights from data and build applications or tools for data processing. They typically design, develop, and maintain software systems that collect, store, and analyze large datasets. Their role often involves writing code to automate data workflows, create dashboards, and perform statistical analyses. These professionals work closely with other engineers, data scientists, and business stakeholders to support data-driven decision making.

How do software engineer data analysts typically collaborate with other teams to deliver data-driven solutions?

Software Engineer Data Analysts work closely with cross-functional teams, including data scientists, product managers, and software developers, to collect requirements and translate business needs into actionable analytics solutions. They often participate in regular meetings to align on project goals, share progress, and troubleshoot data integration challenges. Effective communication is key, as they must explain technical findings to non-technical stakeholders and ensure that the data pipelines and dashboards they develop meet end-user needs. This collaborative environment provides opportunities to broaden technical skills and gain insights into various business functions.

What are the key skills and qualifications needed to thrive as a software engineer data analyst, and why are they important?

To thrive as a Software Engineer Data Analyst, you need strong programming skills (such as Python or Java), a solid understanding of data structures and algorithms, and a background in statistics or computer science. Proficiency in SQL, data visualization tools (like Tableau or Power BI), and experience with big data platforms (such as Hadoop or Spark) are typically required, along with relevant certifications. Analytical thinking, problem-solving ability, and effective communication help you translate complex data into actionable insights. These skills ensure you can extract, analyze, and communicate data-driven solutions that support business objectives.

What is the difference between Software Engineer Data Analyst vs Data Scientist?

AspectSoftware Engineer Data AnalystData Scientist
Required CredentialsBachelor's in CS, Data Analysis, or related; programming skillsBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentSoftware development teams, data analysis projectsResearch, modeling, predictive analytics teams
Employer & Industry UsageTech companies, finance, healthcareTech firms, research institutions, finance
Common Search & ComparisonOften compared for data roles involving coding and analysisMore focused on predictive modeling and research

The main difference between a Software Engineer Data Analyst and a Data Scientist lies in their focus and skill set. Software Engineers Data Analysts primarily develop data tools and analyze data using programming, while Data Scientists focus on building predictive models and advanced analytics. Both roles require strong technical skills, but Data Scientists typically have more expertise in statistics and machine learning.

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

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

Software Engineer Data Analyst jobs near you

Data Analyst/Data Engineer (Healthcare) (69269)

PRIORITY MANAGEMENT

Dallas, TX • On-site

$125K - $145K/yr

Full-time

Re-posted 9 days ago

Job description

Salary $125,000-$145,000

Data Analyst /Data Engineer (Healthcare)

Location: Downtown Dallas, TX (In-Office)
Company: Priority Management Group

About the Role

Priority Management Group is seeking a Data Engineer with strong analytics capabilities to help build and scale our internal data infrastructure. This role will play a critical part in designing how our organization collects, organizes, and analyzes operational, financial, and clinical data across our healthcare facilities.

This position is ideal for someone who enjoys building data pipelines and infrastructure, but also has the ability to analyze the data and turn it into actionable insights for leadership.

You will work closely with our IT, finance, and operations teams to transform raw data from multiple systems into reliable dashboards and reports that drive better decision-making across the company.

This is a full-time, in-office role located in Downtown Dallas.

Key Responsibilities

Data Analytics & Reporting

  • Develop and maintain operational, financial, and clinical dashboards using Tableau and/or Power BI
  • Write advanced SQL queries for data extraction, transformation, and validation
  • Use Python for automation, data cleaning, and advanced analysis
  • Build recurring reports related to:
    • Census trends
    • Reimbursement & payer mix
    • Labor productivity
    • Clinical performance metrics
    • Revenue cycle metrics

Data Engineering & Infrastructure

  • Design, build, and maintain data pipelines and centralized datasets from multiple healthcare systems
  • Develop processes for data ingestion, transformation, and validation
  • Build and maintain a scalable internal data warehouse or data storage environment
  • Ensure data quality, governance, and consistency across multiple platforms
  • Automate manual reporting and data workflows

Business Collaboration

  • Partner with operations, finance, and executive leadership to identify performance gaps
  • Translate complex business questions into data-driven insights
  • Provide analytics that support strategic and operational decision-making

Required Qualifications

  • 2–5+ years of experience in Data Engineering, Data Analytics, or a similar role
  • Strong SQL skills (joins, CTEs, window functions, performance optimization)
  • Strong Python skills (pandas, automation scripts, data transformation)
  • Experience building Tableau and/or Power BI dashboards
  • Experience building data pipelines or structured datasets
  • Strong understanding of KPIs, reporting metrics, and business analytics
  • Self-starter with the ability to work independently
  • Strong problem-solving and analytical thinking skills

Preferred Qualifications

  • Experience working with healthcare, SNF, or post-acute care datasets
  • Experience with data warehouses or cloud storage platforms (Azure, AWS, Snowflake, etc.)
  • Experience integrating data from multiple software systems or APIs
  • Familiarity with ETL/ELT processes

What We Offer

  • Opportunity to build the data infrastructure for a growing healthcare organization
  • Work directly with executive leadership and operations teams
  • High visibility role with the ability to make a measurable impact
  • Competitive salary based on experience

Apply