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Full Stack Data Analyst Jobs in Austin, TX (NOW HIRING)

NET-while applying data analysis and machine learning techniques to help merchants improve their ... Design and build full-stack features for the ShipStation Intelligence product line, delivering data ...

NET-while applying data analysis and machine learning techniques to help merchants improve their ... Design and build full-stack features for the ShipStation Intelligence product line, delivering data ...

Job Title: Sr. Full stack Developer Job Location: Austin, Texas Job Type: Contract * Architect and ... Collaborate with product managers data engineers data analysts data scientists and other ...

Full Stack Developer - MERN Stack Relativity, Inc. | Lakeway / Austin, TX | Full-Time, In Office ... We build modern applications involving secure data sharing, analytics, operational workflows ...

... data access, automation, and user experience. The Full Stack Developer III brings strong front-end ... Experience with Azure Monitor, Application Insights, Log Analytics, performance tuning, or secure ...

Full Stack Developer (React & Java) Location: Austin, TX / Hybrid Department: Engineering ... Integrate frontend and backend systems, handle authentication (JWT, OAuth), and ensure secure data ...

In this role, you'll sit at the intersection of data engineering, business intelligence, and full-stack development , helping create a unified analytics experience that replaces fragmented reporting ...

Strong analytical, problem-solving, and communication skills, with a proven ability to collaborate ... Data & Reporting: Develop and maintain SQL Server databases (stored procedures, views, functions ...

The developer will perform advanced analysis, application design, coding, testing, deployment ... Perform Oracle database support and migrate legacy Oracle data into SQL Server environments.

The developer will perform advanced analysis, application design, coding, testing, deployment ... Perform Oracle database support and migrate legacy Oracle data into SQL Server environments.

As a full stack software engineer at the company, you'll work on various user-facing applications and tools for data management, annotation, and mapping. You will: * Work closely with design and ...

The developer will perform advanced analysis, application design, coding, testing, deployment ... Perform Oracle database support and migrate legacy Oracle data into SQL Server environments.

You will work across the full technology stack, from database architecture and backend servicers to ... Understanding of enterprise security practices including authentication, authorization, and data ...

You will work across the full technology stack, from database architecture and backend servicers to ... Understanding of enterprise security practices including authentication, authorization, and data ...

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Showing results 1-20

Full Stack Data Analyst information

See Austin, TX salary details

$33.7K

$81.9K

$134.8K

How much do full stack data analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for full stack data analyst in Austin, TX is $81,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,100.00 per year, depending on experience, location, and employer.

What is the difference between Full Stack Data Analyst vs Data Scientist?

AspectFull Stack Data AnalystData Scientist
Required SkillsData analysis, visualization, basic programming, SQL, reportingAdvanced programming, statistical modeling, machine learning, data engineering
Work EnvironmentBusiness teams, analytics departments, reporting toolsResearch teams, data science departments, AI/ML projects
CertificationsData analysis, SQL, Excel certificationsData science, machine learning, Python/R certifications
Industry UsageBusiness intelligence, marketing, financeResearch, AI development, predictive modeling

While both roles involve working with data, Full Stack Data Analysts focus on end-to-end data analysis and reporting within business contexts, whereas Data Scientists develop advanced models and algorithms for predictive insights. The roles often overlap in skills like SQL and programming, but Data Scientists typically require deeper expertise in statistical methods and machine learning.

What are popular job titles related to Full Stack Data Analyst jobs in Austin, TX? For Full Stack Data Analyst jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Analyst jobs in Austin, TX look for? The top searched job categories for Full Stack Data Analyst jobs in Austin, TX are:
What cities near Austin, TX are hiring for Full Stack Data Analyst jobs? Cities near Austin, TX with the most Full Stack Data Analyst job openings:
Full Stack Software Engineer

Full Stack Software Engineer

Auctane

Austin, TX

Other

Medical, Dental, Vision, Retirement

Posted 16 days ago


Job description

About the role

As a Full Stack Software Engineer on the ShipStation team, you'll own the development of data-driven features that turn shipping and logistics data into actionable insights for our customers. You'll work across the full stack-building responsive, intuitive interfaces with ReactJS and developing performant backend services in .NET-while applying data analysis and machine learning techniques to help merchants improve their business and shipping efficiency. You'll collaborate with product managers, designers, data scientists, and fellow engineers to deliver scalable solutions from conception through deployment.

About the team

The Auctane Software Development team is empowered with enhancing, modifying, and maintaining features and functionality associated with the Auctane suite of software products. 

What will you be doing?

  • Design and build full-stack features for the ShipStation Intelligence product line, delivering data-driven insights that help customers optimize their shipping operations.
  • Develop and maintain machine learning pipelines and models that surface patterns, predictions, and recommendations from large-scale shipping and logistics data.
  • Build dynamic, responsive user interfaces with ReactJS that present complex data and analytics in clear, actionable ways.
  • Architect and optimize robust backend services using .NET, ensuring scalability, reliability, and performance under high data throughput.
  • Perform exploratory data analysis to identify opportunities for new intelligence features and validate hypotheses before engineering solutions.
  • Design and implement RESTful APIs and data contracts that support both real-time and batch analytics workloads.
  • Use AI coding/testing tools to accelerate tasks; practice safe prompting, validate results with peers, and contribute learnings and tips to team docs.
  • Lead design review discussions for your area of ownership; drive technical decisions and communicate tradeoffs clearly to stakeholders.
  • Proactively identify technical debt, performance bottlenecks, and reliability risks, and advocate for addressing them.
  • Collaborate with cross-functional teams to define, design, and ship new features across the Auctane platform.
  • Write comprehensive automated tests-unit, integration, and end-to-end-to ensure correctness of data transformations and ML outputs.
  • Participate in and provide thorough code reviews, maintaining high code quality and encouraging best practices across the team.
  • Stay current with emerging trends in data engineering, machine learning, .NET, and ReactJS ecosystems, and bring relevant innovations back to the team.
  • Contribute to the evolution of team engineering practices, tooling, and architecture standards.
  • Other duties as assigned.

What are we looking for?

  • Bachelor's degree in Computer Science, Data Science, Information Systems, or equivalent years of relevant work experience.
  • 4+ years of professional software development experience, with a strong background in .NET for backend development and ReactJS for frontend development.
  • Strong proficiency in both frontend development (ReactJS) and backend development (.NET/C#), with the ability to independently deliver end-to-end features.
  • Demonstrated experience with data analysis, statistical methods, or machine learning-comfortable working with large datasets to extract insights.
  • Familiarity with ML frameworks and libraries (e.g., ML.NET, scikit-learn, TensorFlow, or PyTorch) and an understanding of when and how to apply common algorithms.
  • Exceptional communication skills with the ability to explain complex technical and analytical concepts to both technical and non-technical audiences.
  • Strong understanding of SQL, relational database systems, and ORM frameworks, with experience writing performant queries against large datasets.
  • Experience designing and consuming RESTful APIs at scale.
  • Deep understanding of object-oriented design, SOLID principles, and software architecture patterns.
  • Experience with creating and maintaining automated tests in a test-driven development environment.
  • Experience with source control systems (Git), branching strategies, and CI/CD pipelines.
  • Comfortable working in an Agile development environment with a track record of delivering on commitments.
  • Self-directed and capable of driving work forward independently while knowing when to seek input from others.

What will make you stand out?

  • Experience building data pipelines, ETL processes, or analytics platforms.
  • Hands-on experience training, evaluating, and deploying machine learning models in a production environment.
  • Background in shipping, logistics, e-commerce, or supply chain domains.
  • Experience with event-driven architectures and streaming platforms (e.g., Kafka).
  • Experience with cloud-native development and containerized deployments.
  • Familiarity with data visualization libraries and techniques for presenting analytics to end users.
  • Contributions to open source projects or published work in data science/ML.

The Tech

  • C#, .NET 8, .NET Framework, PostgreSQL, Microsoft SQL Server, JavaScript (ReactJS & Node)
  • AWS, Kafka, ElasticSearch, Docker, Kubernetes
  • Python (data analysis & ML workflows), ML.NET or equivalent ML frameworks(run by Daly) 
  • Data visualization and BI tooling

What do we offer?

  • We are a hybrid company. All team members at Auctane in Austin come into the office Tuesdays, Wednesdays and Thursdays.
  • Take the reins of your time off with our Flex Time Off policy - because work-life balance should always be in your hands!
  • We offer 12 paid holidays for all of our US employees!
  • 401k employer matching program - because your future deserves a friendly boost!
  • We conduct annual merit reviews to recognize and reward your hard work and achievements.
  • Company events, we work hard, play hard! We do our best every day, even at our regular team-building events.
  • Attractive office space in the heart of central Austin, Texas (free drinks, snacks...).
  • Indulge in weekly catered lunches at our office - a delicious perk to fuel your work.
  • Health and Wellness: The well-being of our team is super important to us. Choose from different options that include medical, dental, and vision plans. 
  • Fitness center in the office with Tonal Mirrors, Pelotons, free weights, etc.
  • Employee Assistance Program. We offer up to 8 free mental health sessions. 
  • We offer gym discounts to help you stay fit and healthy!
  • We offer education reimbursement to all employees, ensuring that you can pursue your educational goals while excelling in your career with us. Invest in your future and let us support your growth every step of the way. 
  • Employee Referral Program! We reward employees helping us find top talent!
  • An inclusive, casual and upbeat work environment. The personality and opinions of each of our team members are important and valid; we aim to offer all employees a safe environment where they can be themselves and thrive.

Additional Position Duties: (The following is a list of what all employees, except those with medical accommodation, may be regularly required to do.)

  • Sit for prolonged periods of time
  • Utilize wrist and hands for a prolonged period of time
  • Walk short distances
  • Stand for short periods
  • Speaking and conversing with others
  • Lift up to 25lbs without assistance up to chest height

Equal Opportunity Employer/Veterans/Disabled

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