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Dataiku Jobs in Texas (NOW HIRING)

Apple

Support Engineer

Austin, TX

$184K - $277K/yr

Familiarity with data science tooling such as Dataiku, Snowflake, Airflow, or Python-based analytics pipelines. Experience with full-stack web frameworks, including Node.js/Express.js, Apollo GraphQL ...

LPL Financial

VP, Platform Engineering - Database

Austin, TX · Hybrid

$178K - $230K/yr

Proven expertise in data warehousing, big data and analytics platforms (RedShift, EMR, Dataiku, Tableau, Presto) * Proven track record developing, communicating and executing multi-year technology ...

United Airlines

Blue Yonder Technical Analyst

Dallas, TX · On-site

$67K - $127K/yr

Hands-on work with AI platforms and tools such as Claude, Open AI Codex, Palantir, Databricks, Dataiku, Microsoft Fabric * Knowledge of consumer products (non-retail), manufacturing, life sciences ...

Apple

Support Engineer

Austin, TX

$184K - $277K/yr

Familiarity with data science tooling such as Dataiku, Snowflake, Airflow, or Python-based analytics pipelines. Experience with full-stack web frameworks, including Node.js/Express.js, Apollo GraphQL ...

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Dataiku information

See Texas salary details

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How much do dataiku jobs pay per month?

As of Aug 11, 2026, the average monthly pay for dataiku in Texas is $4,122.58, according to ZipRecruiter salary data. Most workers in this role earn between $3,025.00 and $4,658.33 per month, depending on experience, location, and employer.

What are the typical day-to-day responsibilities for someone working with the Dataiku platform?

Professionals working with the Dataiku platform spend much of their day building and maintaining data pipelines, collaborating with stakeholders to define business requirements, developing and deploying machine learning models, and ensuring data quality. They also use Dataiku DSS to automate workflows, prepare datasets, and visualize analytical results. Regular communication with data engineers, business analysts, and management is essential to align data projects with organizational goals. The role often involves troubleshooting technical challenges and staying current with platform updates and best practices.

What does Dataiku do?

Dataiku is a data science platform that enables data analysts and data scientists to build, deploy, and manage machine learning models and data workflows. It provides tools for data preparation, visualization, and collaboration, often integrating with programming languages like Python and R. Working as a Dataiku professional typically involves understanding data engineering, analytics, and software development processes.

What is a Dataiku?

A Dataiku job typically involves working with Dataiku DSS, a collaborative data science and machine learning platform used for analytics, automation, and AI development. Roles can vary from data engineers and data scientists to machine learning engineers and analytics professionals who use Dataiku to build, deploy, and manage data workflows. Responsibilities may include data preparation, model training, automation, and integrating Dataiku with other enterprise systems. Companies use Dataiku to streamline AI and analytics processes, improving decision-making and operational efficiency. Proficiency in Dataiku, Python, SQL, and machine learning concepts is often required for these roles.

What are the key skills and qualifications needed to thrive in the Dataiku position, and why are they important?

To excel as a Dataiku Data Scientist or Platform Specialist, you typically need a strong background in data analysis, machine learning, and programming languages such as Python or R, often supported by a degree in computer science, statistics, or a related field. Experience with the Dataiku Data Science Studio (DSS) platform, plus relevant certifications like Dataiku DSS Associate or Designer, is highly valued. Strong problem-solving skills, effective communication, and teamwork are important soft skills to succeed in this role. These abilities ensure that data solutions are effectively designed, implemented, and communicated within cross-functional teams, driving successful business outcomes.

What are the most commonly searched types of Dataiku jobs in Texas? The most popular types of Dataiku jobs in Texas are:
What are popular job titles related to Dataiku jobs in Texas? For Dataiku jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Dataiku jobs in Texas look for? The top searched job categories for Dataiku jobs in Texas are:
What cities in Texas are hiring for Dataiku jobs? Cities in Texas with the most Dataiku job openings:
Dataiku jobs near you
Infographic showing various Dataiku job openings in Texas as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 73% Physical, 13% Hybrid, and 14% Remote job distribution, with an average salary of $49,471 per year, or $23.8 per hour.

Senior Team Manager, Cloud Data & AI Platform Engineering

Charles Schwab

Southlake, TX • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 3 days ago

Job description

Your opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

Schwab Technology Services enables the future of how clients manage their money by delivering innovative, reliable technology that expands access to investing and financial planning. Within this environment, Schwab is advancing next-generation data, analytics, and AI capabilities through modern cloud platforms and reusable engineering solutions that accelerate enterprise adoption of predictive and generative AI.

As a Senior Manager, Cloud Data & AI Platform Engineering, you will lead the strategy, engineering, and evolution of shared data and AI platforms that power enterprise analytics and AI at scale. You will shape how cloud-native platforms are designed, modernized, and operated—driving scalability, resiliency, and automation while enabling engineering teams and analytics users to deliver high-impact outcomes. This includes advancing reusable GenAI platform capabilities that support experimentation, observability, governance, and production readiness, as well as enabling intelligent, AI-assisted platform experiences such as conversational analytics and developer productivity accelerators.

In this role, you will influence enterprise-wide platform transformation by establishing engineering patterns, improving operational maturity, and integrating cloud automation and infrastructure as code to enhance efficiency and consistency. You will collaborate closely with security, risk, compliance, and business stakeholders to ensure platforms meet regulatory expectations while supporting innovation. Success in this role is defined by your ability to lead cross-functional teams, translate complex technical capabilities into business value, and deliver scalable, secure, and future-ready AI and data platforms in a highly regulated environment.

What you have

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related technical field
  • 10+ years of experience in cloud, platform, data, analytics, or AI engineering roles
  • 5+ years of experience leading engineering teams or enterprise platform capabilities
  • Proven experience designing and leading large-scale enterprise cloud platforms with a focus on scalability, resiliency, and high availability
  • Demonstrated experience delivering technology solutions in complex, highly regulated environments
  • Strong expertise with Google Cloud Platform (GCP) and cloud-native engineering practices
  • Experience with cloud technologies such as BigQuery, Kubernetes (GKE), Dataflow, Pub/Sub, Dataproc, Cloud Run, Cloud Functions, Cloud Storage, IAM, and observability tooling
  • Strong understanding of platform engineering, site reliability engineering (SRE), service lifecycle management, and operational excellence
  • Experience with Infrastructure as Code (e.g., Terraform), CI/CD enablement, automation frameworks, and reusable deployment patterns
  • Experience supporting enterprise data, analytics, or AI/ML platforms, including solutions used by engineering and analytics teams
  • Familiarity with generative AI concepts, LLM-enabled workflows, or AI-assisted engineering capabilities
  • Proven ability to lead cross-functional initiatives and influence stakeholders across technology and business organizations
  • Strong communication skills with the ability to connect technical solutions to business outcomes

 

Preferred Qualifications

  • Experience with GenAI enablement platforms, model lifecycle management, or reusable AI frameworks
  • Experience with Vertex AI, Dataiku, MLOps practices, or enterprise AI orchestration patterns
  • Experience enabling AI-assisted analytics or conversational data experiences
  • Experience within financial services or other highly regulated industries
  • Experience leading enterprise cloud modernization or platform transformation initiatives

In addition to the salary range, this role is also eligible for bonus or incentive opportunities.

 


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