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Software Engineer Data Analyst Jobs in Frisco, TX

Judge Group, Inc.

Data Analyst

Arlington, TX · On-site

$65 - $75/hr

Perform statistical analysis and predictive data assessments to support business decisions ... Collaborate with data scientists, software developers, and business stakeholders to define ...

Atria Group LLC

BI Data Analyst

Addison, TX · On-site

Our company provides application analysis, design, development and programming, software ... R Programming SQL Data Analysis Specific Accountabilities/Essential Functions of Position ...

Winaxis

Data Analyst

Dallas, TX · On-site

Assessing tests and implementing new or upgraded software and assisting with strategic decisions on ... Data Analyst Requirements: Bachelor's degree from an accredited university or college in computer ...

360 IT Professionals

Data Analyst

Irving, TX · On-site

Company Description 360 IT Professionals is a Software Development Company based in Fremont ... We use Objective C and Swift programming languages to create native applications for iPhone ...

Winaxis

Data Analyst

Dallas, TX · On-site

Assessing tests and implementing new or upgraded software and assisting with strategic decisions on ... Data Analyst Requirements: Bachelor's degree from an accredited university or college in computer ...

Winaxis

Data Analyst

Dallas, TX · On-site

Assessing tests and implementing new or upgraded software and assisting with strategic decisions on ... Data Analyst Requirements: Bachelor's degree from an accredited university or college in computer ...

Winaxis

Data Analyst

Dallas, TX · On-site

Assessing tests and implementing new or upgraded software and assisting with strategic decisions on ... Data Analyst Requirements: Bachelor's degree from an accredited university or college in computer ...

Winaxis

Data Analyst

Dallas, TX · On-site

Assessing tests and implementing new or upgraded software and assisting with strategic decisions on ... Data Analyst Requirements: Bachelor's degree from an accredited university or college in computer ...

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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 1, 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

Lead Software Engineer - Data Engg. - Databricks / Snowflake

JPMorgan Chase & Co.

Plano, TX • On-site

Full-time

Medical, Retirement

Re-posted 3 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 499 frontline employees who took The Breakroom Quiz

72nd of 174 rated banks

Job description


We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase within the (IAM) Identity and Access Management Data team, you will play a crucial role in designing, developing, and maintaining scalable data processing solutions using Databricks, Python, and AWS. You will collaborate with cross-functional teams to deliver high-quality data solutions that support our business objectives.
Job responsibilities
  • Execute creative, data-driven software solutions end-to-end (design, development, troubleshooting), thinking beyond routine approaches to solve complex technical problems.
  • Design and build a control plane for enterprise data pipelines, standardizing pipeline definition, scheduling, deployment, governance, and run-time management (Databricks today; extensible for future engines).
  • Develop self-service APIs/SDKs, templates, and configuration-driven onboarding with consistent guardrails (standards, validation, environment promotion, approvals) and centralized pipeline metadata (ownership, SLAs/SLOs, dependencies, schema/parameter/version tracking).
  • Design, develop, and maintain scalable data pipelines and processing workflows using Python, PySpark, SQL, Databricks on AWS; develop fact/dimension models for analytics and reporting.
  • Ensure data quality, security, lineage, and operational transparency via standardized observability (logs/metrics/traces), dashboards, alerting, runbooks, and automated remediation patterns (retries/backfills, common-failure automation).
  • Lead and participate in the full SDLC (requirements, design, build, test, deploy, maintain), acting as SRE/production support for pipeline and platform services to improve stability and reliability.
  • Collaborate with stakeholders to shape data management strategy and translate requirements into scalable, compliant solutions; document data flows, logic, and transformation rules for knowledge sharing.
  • Mentor engineers and lead communities of practice to drive adoption of modern engineering practices and tools, fostering an inclusive, high-performing culture; utilize firm-approved AI-assisted development tools to accelerate delivery and testing
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Proven experience in data management and ETL/ELT for large-scale processing, including strong SQL, Python, and PySpark with performance tuning and query optimization.
  • Hands-on experience with Databricks/Spark and cloud data lake patterns, integrating compute/workflows with AWS services (e.g., S3, ECS, SNS/SQS, Lambda).
  • Proven experience building platform services/control planes (or similar orchestration/automation platforms), including API/service design, configuration-driven systems, and versioning/backward compatibility.
  • Strong understanding of data quality, security-by-design, and lineage/auditability, including IAM/least privilege and secrets management principles.
  • Strong production engineering mindset: observability (logs/metrics/traces), monitoring/alerting, incident response, and operational excellence for always-on services.
  • Proficiency in CI/CD and release engineering (quality gates, automated testing, safe deployments/rollbacks) using firm-standard tooling (e.g., Jenkins/Jules, Spinnaker, Sonar).
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Preferred qualifications, capabilities, and skills
  • Experience with orchestration/execution frameworks (Databricks Workflows/Jobs, Airflow, Step Functions) and operational patterns such as dependency graphs (DAGs), replays, and backfills.
  • Experience with data governance integrations (e.g., Unity Catalog concepts such as cataloging, permissions, and lineage hooks), where applicable.
  • Infrastructure-as-Code experience (Terraform/CloudFormation) and developer-platform "golden path" enablement (internal CLIs, templates, paved roads, onboarding automation).
  • Experience with FinOps/cost controls for Spark/Databricks workloads (telemetry, quotas, chargeback/showback) and data formats (Parquet, JSON, CSV, Avro, Delta Lake), Knowledge of regulatory reporting and financial data aggregation techniques; Databricks and/or AWS certifications.

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
The Chief Technology Office oversees enabling components inclusive of the top quality engineering and architecture tools and practices, key program management and processes as well as the technology workforce strategy required to make us a leading technology company for our customers, clients and colleagues around the world.
High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.

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