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Vector Databases Jobs in Arizona (NOW HIRING)

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

Nice to have - Passion and drive for a POC / designing RAG architecture, vector databases, or integrating LLMs into data pipelines. * Familiarity with data privacy regulations knowledge (GDPR, CCPA ...

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

Nice to have - Passion and drive for a POC / designing RAG architecture, vector databases, or integrating LLMs into data pipelines. * Familiarity with data privacy regulations knowledge (GDPR, CCPA ...

AI Solution Architect

Tempe, AZ · On-site

$60.25 - $79.50/hr

Vector databases * Embeddings * Evaluation frameworks * Guardrails * Fine-tuning * Orchestration frameworks * 8+ years experience in Python. * Proficiency in C#, Java, or TypeScript is a plus. * 6+ ...

Senior Software Engineer I

Phoenix, AZ · On-site

$123K - $215K/yr

... vector databases, and AI service integrations. * Strong engineering and professional leadership skills. * Demonstrated ability to lead, partner, and collaborate multi-functionally across many ...

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

Experience with vector databases and indexing for LLMs (e.g., FAISS, Pinecone). Interpersonal Skills: * Communication * Computer proficiency * Presentation skills * Listening * Teamwork Candidates ...

Experience with GenAI stack including LangChain, LangGraph, and LangSmith for building agentic workflows, vector databases, React-based agents, multi-agent orchestration systems and Model Context ...

ERP AI Engineer - Manager

Phoenix, AZ · On-site

$99K - $232K/yr

... with vector databases and semantic search architectures - Translating complex business problems into AI solution designs - Contributing to business development and proposal writing - Cloud ...

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

Experience with vector databases and indexing for LLMs (e.g., FAISS, Pinecone). Interpersonal Skills: * Communication * Computer proficiency * Presentation skills * Listening * Teamwork Candidates ...

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Vector Databases information

What is the salary of a vector database developer?

The salary of a vector database developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Skilled developers with expertise in machine learning, data structures, and database management may earn higher salaries, especially in tech hubs or with advanced certifications.

Are vector databases the future?

Vector database jobs involve managing and optimizing databases designed for high-dimensional vector data, which are essential for AI and machine learning applications. As AI continues to grow, demand for professionals skilled in vector database technologies and related tools like embedding models is expected to increase, making this a promising field for future job opportunities.

What are vector databases?

Vector databases are specialized databases designed to store, manage, and search high-dimensional vector data, which is commonly generated from machine learning models, such as embeddings from natural language processing or image recognition. They enable efficient similarity search operations, such as finding the most similar items to a given query vector, which is essential for applications like recommendation systems, semantic search, and AI-powered search engines. Unlike traditional databases that handle structured or unstructured data, vector databases are optimized for fast and scalable similarity searches on large datasets of vectors.

What are some common challenges faced when working with vector databases, and how can they be addressed?

Professionals working with vector databases often encounter challenges such as efficiently scaling to handle large datasets, ensuring low-latency similarity searches, and integrating the database with machine learning pipelines. To address these, teams typically implement distributed architectures, fine-tune indexing strategies, and collaborate closely with data engineers and machine learning specialists. Staying updated with the latest developments in vector database technologies and maintaining clear communication with cross-functional teams are also key to overcoming these challenges.

What is the difference between Vector Databases vs Data Engineers?

AspectVector DatabasesData Engineers
Required SkillsDatabase management, data modeling, query optimizationData pipeline development, ETL processes, programming
Work EnvironmentData storage systems, AI/ML projects, cloud platformsData infrastructure, cloud environments, big data tools
Industry UsageAI, machine learning, recommendation systemsData integration, analytics, data architecture

While Vector Databases focus on storing and querying high-dimensional vector data for AI applications, Data Engineers build and maintain data pipelines and infrastructure to support data analysis and machine learning workflows. Both roles are essential in data-driven industries but serve different functions within the data ecosystem.

What can you do with a vector database?

A vector database is used in roles involving data management and machine learning to store, search, and retrieve high-dimensional vector representations of data such as images, text, or audio. It enables efficient similarity searches, supporting applications like recommendation systems, natural language processing, and computer vision. Working with a vector database often requires knowledge of data structures, indexing techniques, and programming skills in languages like Python or C++.

What are the key skills and qualifications needed to thrive as a Vector Database Engineer, and why are they important?

Success as a Vector Database Engineer requires a strong background in computer science, database management, and experience with machine learning or AI-driven data systems. Familiarity with vector database platforms (such as Pinecone, Milvus, or Weaviate), cloud infrastructure, and proficiency in languages like Python are typically expected. Strong problem-solving skills, effective communication, and the ability to work cross-functionally help engineers stand out. These competencies are vital to efficiently design, deploy, and maintain scalable vector search solutions that power modern AI applications.

What are the top 5 vector databases?

Top vector databases used in data management and AI applications include Pinecone, Weaviate, FAISS, Milvus, and Annoy. These databases are optimized for storing and searching high-dimensional vector data, often requiring skills in machine learning and database management. They are widely adopted for tasks like similarity search and recommendation systems.
What job categories do people searching Vector Databases jobs in Arizona look for? The top searched job categories for Vector Databases jobs in Arizona are:
What cities in Arizona are hiring for Vector Databases jobs? Cities in Arizona with the most Vector Databases job openings:
Lead Engineer, Data Platforms

Lead Engineer, Data Platforms

Dutch Bros LLC

Tempe, AZ • On-site, Remote

$111K - $133K/yr

Full-time

Posted 24 days ago


Dutch Bros rating

7.0

Company rating: 7.0 out of 10

Based on 408 frontline employees who took The Breakroom Quiz

6th of 104 rated fast food restaurants


Job description

It's fun to work in a company where people truly believe in what they are doing. At Dutch Bros Coffee, we are more than just a coffee company. We are a fun-loving, mind-blowing company that makes a difference one cup at a time.

Position Overview:
We are seeking a highly experienced and skilled Lead Engineer, Data to join our team. This individual will be responsible for modernizing, integrating, and optimizing Dutch Bro's foundational data ecosystem. This individual will play a crucial role in building world-class data platforms that power analytics, machine learning, and AI-driven workflows and will be responsible for designing and implementing highly scalable and resilient data infrastructure. The ideal candidate will have extensive experience in Snowflake database administration, data modeling, database migration, and is responsible for designing, building, and maintaining data cloud platforms that enable us to collect, store, process, and analyze vast amounts of data efficiently and effectively. This is a great opportunity for someone who thrives in an evolving environment, is eager to learn, and is ready to contribute innovative ideas. If you're humble, hungry, and excited to grow your skills, we'd love to have you join our team!
Job Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related study, or 4 years of experience, required

  • 7+ years of data and/or software engineering experience, with at least 4 years focused on backend distributed systems or data infrastructure at scale.

  • Deep Engineering Roots: You are an expert coder (Python and SQL) who grew up building software. 4+ years deep Python and SQL experience.

  • Hands-on expert-level knowledge and experience with Snowflake (Snowpipe, SnowSQL, replication, data-sharing), Airflow, and Power BI for production-grade data solutions.

  • Mastery of AWS services (IAM, VPC, Glue, S3, SFTP, Lambda, CloudWatch, SNS) , Gitlab CI/CD, DataDog Monitoring/alerting.

  • Real-time ETL/ELT and Big Data pipeline experience, especially with Kafka, Workato, ADF, Matillion, and DBT.

  • Expertisein implementing automated CI/CD pipelines, infrastructure as code, and fostering a unified engineering culture across disciplines.

  • Nice to have - Passion and drive for a POC / designing RAG architecture, vector databases, or integrating LLMs into data pipelines.

  • Familiarity with data privacy regulations knowledge (GDPR, CCPA) and Attribute-based data security.

  • Snowflake administration knowledge, preferred.

  • Knowledge and experience with Data Governance - Data Quality, Metadata management, Data Security, Data Archive is preferred.

  • Strong problem-solving, analytical, and critical-thinking skills with a focus on business insights.

  • Excellent communication for conveying technical concepts to non-technical stakeholders.

  • Proven ability to work collaboratively in cross-functional teams.

  • Adaptable and proactive in learning new technologies in a dynamic data environment.

  • Strong time management skills to handle multiple projects and ensure high-quality deliverables.


Location Requirement:
This position is eligible for remote work within any state Dutch Bros currently resides in (AL, AZ, CA, CO, FL, ID, KS, KY, MO, NM, NV, OK, OR, TN, TX, UT, WA, WY)
Key Result Areas (KRAs):

Assess, design, build, and maintain the data pipelines that enables Dutch Bros teams to collect, store, process, and analyze vast amounts of data efficiently and effectively:

  • Seamless Snowflake Implementation: Successfully develop and deploy production-grade data solutions on Snowflake, databricks or similar tools Optimized Data Pipelines: Design and enhance ETL/ELT pipelines and datatransformations for efficiency, supporting advanced analytics and real-time dataprocessing with technologies such as Kafka, fivetran, databricks , and Matillion or leveraging pyspark

  • High-Quality Data Models: Implement dimensional and data products to improve data accuracy and accessibility, enabling comprehensive ad-hoc analysis, reporting, and visualization

  • Advanced Analytics Support: Develop and maintain data engineering frameworksthat support machine learning workflows and complex data analyses, ensuring that data is readily available for actionable insights

  • Effective Communication and Collaboration: Articulate complex technical concepts clearly to non-technical stakeholders and collaborate effectively with cross-functional teams to drive project success and meet business objectives


Skills:

  • Data engineering

  • Functional Expertise

  • Data modeling

  • Data management and data governance

  • Leading by Influence

  • Detail-Oriented

  • Multitasking

Physical Requirements:

  • In-Office Environment:Must be able to work in a busy, crowded, and loud office with frequent distractions and interruptions.

  • Office Conditions:Adaptability to typical office conditions, which may include exposure to air conditioning, heating, artificial lighting, and varying noise levels

  • Mobility: Ability to sit, stand, reach, twist, stretch, and work at a desk for long stretches. Must be able to occasionally move or lift office items up to 25 pounds

  • Hearing Requirements:Hearing must be sufficient or correctable to ensure clear understanding of spoken information, including participating in virtual meetings and phone calls. Use of hearing aids or other assistive devices is acceptable if needed.

  • Reading and Writing Proficiency:Ability to read and write in English is essential for processing documents, drafting reports, and following up on necessary actions. Proficiency in written communication is required to handle job-related tasks effectively.

  • Vision Requirements:Vision must be adequate or correctable to perform essential job duties, such as reading documents on a computer screen and using other visual tools. Use of corrective lenses or other measures to meet visual requirements is expected if needed.

  • Technology Proficiency:Must be proficient in operating a computer and other office productivity tools such as printers, scanners, and collaboration software.

  • Effective Communication:Must possess strong verbal and written communication skills to interact effectively with team members, clients, and other stakeholders via email, video conferencing, and other in office communication tools.

Compensation:

DOE

If you like wild growth and working in a unique and fun environment, surrounded by positive community, you'll enjoy your career with us!


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