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Patterned Learning Career Jobs in Austin, TX (NOW HIRING)

Q2

Emerging Technology Architect

Austin, TX · On-site

... patterns, and scalable delivery models. * Demonstrated experience with AI and machine learning ... Career Development & Mentoring Programs * Health & Wellness Benefits, including competitive health ...

Q2 India

Emerging Technology Architect

Austin, TX · On-site

$180 - $240/hr

... patterns, and scalable delivery models. Demonstrated experience with AI and machine learning ... Career Development & Mentoring Programs * Health & Wellness Benefits, including competitive health ...

Incedo

AWS Cloud Engineer

Austin, TX · On-site

$55.25 - $73.75/hr

Incedo University, our learning platform, provides ample learning opportunities starting with a ... Our flexible career paths allow you to grow into a program manager, a technical architect or a ...

Epicor

Product Developer, Sr

Austin, TX · Hybrid

$54 - $71.25/hr

Improve coding standards, reusable design patterns, team workflows, and engineering practices while ... Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program ...

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Patterned Learning Career information

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How much do patterned learning career jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for patterned learning career in Austin, TX is $40.34, according to ZipRecruiter salary data. Most workers in this role earn between $29.33 and $52.40 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a patterned learning career professional?

To thrive in a Patterned Learning Career, you need a strong background in instructional design, curriculum development, and educational theory, often supported by a relevant degree or teaching certification. Familiarity with e-learning platforms, learning management systems (LMS), and digital content creation tools is typically required. Creativity, communication, and adaptability are essential soft skills to effectively engage diverse learners and respond to evolving educational needs. These skills ensure the development of effective, engaging learning experiences that drive learner success in various educational or corporate environments.

What is the difference between Patterned Learning Career vs Data Analyst?

AspectPatterned Learning CareerData Analyst
Required CredentialsTypically a degree in education, psychology, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentEducational institutions, training centers, corporate learning departmentsBusinesses, research firms, consulting agencies
Industry UsageUsed in education, corporate training, e-learning developmentUsed in finance, marketing, healthcare, and tech sectors

Patterned Learning Careers focus on designing and implementing structured learning programs, often within educational or corporate settings. Data Analysts interpret data to inform business decisions. While both roles require analytical skills, Patterned Learning Careers emphasize instructional design and learning strategies, whereas Data Analysts focus on data analysis and reporting.

What are some common challenges faced by professionals in patterned learning careers, and how can they be addressed?

Professionals in Patterned Learning Careers, such as instructional designers or curriculum developers, often encounter challenges like adapting to diverse learning styles, integrating emerging technologies, and measuring the effectiveness of learning programs. To address these, it's helpful to stay current with industry best practices, collaborate closely with educators and subject matter experts, and regularly gather feedback from learners. Maintaining flexibility and a willingness to revise content ensures that learning solutions remain engaging and effective.

What is a patterned learning career?

A Patterned Learning Career refers to a professional path structured around repeated processes, routines, or methodologies, often within educational, training, or instructional design roles. Individuals in such careers focus on creating, implementing, or improving learning programs using proven patterns or frameworks. This approach helps ensure consistency, efficiency, and effectiveness in learning outcomes. Patterned Learning Careers can be found in various settings, including schools, corporate training departments, and e-learning companies.
What are popular job titles related to Patterned Learning Career jobs in Austin, TX? For Patterned Learning Career jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Patterned Learning Career jobs in Austin, TX look for? The top searched job categories for Patterned Learning Career jobs in Austin, TX are:
What cities near Austin, TX are hiring for Patterned Learning Career jobs? Cities near Austin, TX with the most Patterned Learning Career job openings:
Patterned Learning Career jobs near you
Infographic showing various Patterned Learning Career job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $83,904 per year, or $40.3 per hour.

Sr. Consultant Machine Learning & Knowledge Graph Engineer

Dell, Inc.

Round Rock, TX • On-site

Full-time

Posted 21 days ago

Job description


Sr. Consultant Machine Learning & Knowledge Graph Engineer
Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What's more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.
Join us to do the best work of your career and make a profound impact as Sr. Consultant Machine Learning & Knowledge Graph Engineer on our growing and dynamic team in Round Rock, Texas.
What you'll achieve
Lead the architecture, development, and deployment of enterprise scale ML solutions across Dell's global ecosystem. Drive MLOps standards, build production grade ML services, and collaborate across engineering, product, and platform teams to enable AI at scale. Scale ML solutions across Dell's global ecosystem. As a Sr. Consultant Machine Learning & Knowledge Graph Engineer, you will play a pivotal role in advancing our AI and ML capabilities and creating Enterprise wide KG marketplace and Ontology layouts. This is a high-impact, enterprise-level technical leadership position responsible for defining and executing Dell's graph data strategy. You will architect production-grade Knowledge Graph platforms, design semantic data layers that power Agentic AI, and drive the convergence of graph technologies with large-scale data engineering ecosystems. This role demands a rare combination of deep graph expertise, distributed systems mastery, and strategic business influence.
You will
  • Knowledge Graph Architecture and Delivery: Design, build, and scale enterprise Knowledge Graph platforms using Neo4j and/or Stardog, establishing graph-native data models that enable entity resolution, relationship discovery, and semantic reasoning across business domains. Ontology and Semantic Layer Engineering: Define and govern enterprise ontologies (OWL 2), taxonomies, and semantic schemas that provide a unified, machine-interpretable view of Dell's data assets, ensuring consistency, reusability, and inferencing capability

  • Graph-Powered Agentic AI Infrastructure: Architect graph-backed Retrieval-Augmented Generation (RAG) systems, tool-calling interfaces, and dynamic prompt-to-graph query pipelines that fuel autonomous AI agent decision-making with deterministic, explainable knowledge. Data Virtualization and Federation: Lead the design of virtualized graph layers using Stardog Virtual Graphs or equivalent federation patterns, enabling real-time querying across SQL, NoSQL, and streaming data sources without mass ETL

  • Graph Data Science and Analytics: Operationalize advanced graph algorithms - community detection, centrality analysis, node embeddings (Node2Vec, FastRP), link prediction - using Neo4j GDS or equivalent libraries to extract actionable intelligence from connected data. Real-Time Graph Ingestion and Streaming: Design high-throughput, low-latency graph ingestion pipelines integrating Kafka, Spark Structured Streaming, and graph-native CDC mechanisms to maintain continuously updated knowledge representations

  • Enterprise Graph Governance: Establish comprehensive graph data governance frameworks including SHACL/SHEX constraint validation, RBAC-based graph security models, data lineage tracking, and ontology versioning strategies. Cross-Functional Strategic Partnership: Collaborate with Principal Data Scientists, AI/ML platform teams, product leaders, and executive stakeholders to identify high-value graph use cases and translate complex business problems into graph-solvable architectures

  • Technology Evaluation and Innovation: Continuously evaluate emerging graph technologies (GQL/ISO standards, vector-graph hybrid search, graph neural networks, LLM-to-graph interfaces) and provide executive-level recommendations on adoption. Mentorship and Engineering Culture: Serve as the technical anchor and mentor for Senior Advisors, Staff Engineers, and tech leads, cultivating deep graph expertise across the organization and driving a culture of engineering excellence and innovation

Take the First Step Towards Your Dream Career
Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:
Essential Requirements:
  • Graph Architecture Mastery: Extensive hands-on experience designing and operating production-grade graph systems using Neo4j (Cypher, GDS, APOC, AuraDB, Causal Clustering) and/or Stardog (SPARQL, OWL 2 reasoning, Virtual Graphs, SHACL validation) along with Ontology and Semantic Modeling: Proven expertise in enterprise ontology engineering - OWL 2 profiles, RDF/RDFS, SKOS taxonomies, property graph modeling patterns, and schema evolution strategies at scale

  • Agentic AI and RAG Engineering: Deep practical understanding of building graph-backed data environments for autonomous AI agents, including knowledge retrieval pipelines, tool-calling orchestration, dynamic SPARQL/Cypher generation from natural language, and hybrid vector-graph search architectures

  • Distributed Systems and Data Scale: Expert-level command over PySpark, Kafka, data lakehouses (Apache Iceberg, Delta Lake), and enterprise orchestration (Airflow), with proven ability to integrate these with graph ecosystems and programming and query proficiency: Advanced fluency in Python, SQL, Cypher, and SPARQL, with strong software engineering practices (CI/CD, testing, version control, containerization)

  • Graph Data Science: Hands-on experience operationalizing graph algorithms - PageRank, Louvain, Label Propagation, node embedding techniques - and integrating graph-derived features into downstream ML/AI pipelines

  • Experience: 12+ years of progressive experience in data engineering, graph architecture, and cloud-native platform delivery, with at least 4+ years focused specifically on Knowledge Graph or semantic technology initiatives at enterprise scale

  • Strategic Leadership: Exceptional communication, advisory, and stakeholder-management skills, with a demonstrated history of driving large-scale technical transformations and influencing cross-functional technology strategy

Desirable Requirements
  • PhD or Master's degree in Technology, Computer Science, Machine Learning or equivalent quantitative field
  • Experience in data mesh or data fabric architectures with graph as the metadata backbone.
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About DELL

Sourced by ZipRecruiter

Dell Technologies helps organizations and individuals build a brighter digital tomorrow. Our company is made up of more than 150,000 people, located in over 180 locations around the world. We're proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Round Rock, TX, US

Year founded

1984

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