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Graph Database Jobs in Austin, TX (NOW HIRING)

Qvest US

Senior Engineer (Applied AI / ML)

Austin, TX · Remote

$107K - $146.90K/yr

Experience with Graph Databases * Definition, utilization and implementation of CI/CD pipelines * Familiarity with SOA, Microservices, or similar architectural patterns * Experience constructing ...

Qvest US

Senior Engineer (Applied AI / ML)

Austin, TX · On-site +1

$103.60K - $142.20K/yr

Experience with Graph Databases * Definition, utilization and implementation of CI/CD pipelines * Familiarity with SOA, Microservices, or similar architectural patterns * Experience constructing ...

Natera

Principal Software Engineer

Austin, TX · On-site

$186.20K - $232.80K/yr

Solid understanding of non-relational and graph databases. * Proficiency in leveraging AWS services, including Lambda, RDS, DynamoDB, S3, and Glue. * Proficiency in infrastructure as code (IaC)

Natera

Principal Software Engineer

Austin, TX · On-site

$186.20K - $232.80K/yr

Solid understanding of non-relational and graph databases. * Proficiency in leveraging AWS services, including Lambda, RDS, DynamoDB, S3, and Glue. * Proficiency in infrastructure as code (IaC)

Trunk Tools, Inc.

Sr. NLP Engineer

Austin, TX · On-site

$185K - $245K/yr

Strong experience with information retrieval and search technologies, such as elasticsearch, graph databases, or vector embeddings * Familiarity with LLM-based applications and RAG systems in real ...

Navtech, Inc.

PHP Developer

Austin, TX · On-site

Display strong SQL skills using relational databases (Postgres, MySQL, Oracle, SQL Server, etc ... Experience in caching systems and Graph QL required * Expert understanding of utilizing automated ...

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$26

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How much do graph database jobs pay per hour?

As of May 29, 2026, the average hourly pay for graph database in Austin, TX is $52.65, according to ZipRecruiter salary data. Most workers in this role earn between $43.12 and $59.57 per hour, depending on experience, location, and employer.

What is a Graph Database job?

A Graph Database job typically involves working with graph-based database technologies such as Neo4j, ArangoDB, or Amazon Neptune. Professionals in this role design, implement, and optimize graph database models to efficiently store and retrieve complex relationships between data points. Common responsibilities include data modeling, query optimization using graph query languages (e.g., Cypher, Gremlin), and integrating graph databases into larger data ecosystems. These roles are often found in industries like fraud detection, social networking, and recommendation systems, where understanding relationships between data is crucial.

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

To thrive as a Graph Database Engineer, you need expertise in data modeling, query languages such as Cypher or Gremlin, and a solid understanding of graph theory and database architectures. Familiarity with graph database platforms like Neo4j, Amazon Neptune, or TigerGraph, as well as certifications in relevant technologies, are highly valued. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating with development and analytics teams. These competencies are vital for designing efficient graph data solutions, optimizing performance, and supporting business insights through connected data analysis.

What are some common challenges faced by professionals working with graph databases?

One common challenge when working with graph databases is efficiently modeling highly connected data structures to optimize for both query performance and scalability. Professionals must continuously evaluate indexing strategies and traversal queries to prevent bottlenecks as datasets grow. Another challenge is integrating graph databases with existing data pipelines or relational systems, which often requires specialized knowledge. However, these challenges offer opportunities to innovate and collaborate with cross-functional teams to deliver powerful solutions for complex data relationships.
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What are popular job titles related to Graph Database jobs in Austin, TX? For Graph Database jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Graph Database jobs in Austin, TX look for? The top searched job categories for Graph Database jobs in Austin, TX are:
Graph Database jobs near you
Infographic showing various Graph Database job openings in Austin, TX as of May 2026, with employment types broken down into 2% As Needed, 30% Full Time, 11% Part Time, 4% Temporary, 51% Contract, and 2% Nights. Highlights an 21% Physical, 24% Hybrid, and 55% Remote job distribution, with an average salary of $109,517 per year, or $52.7 per hour.

Senior Engineer (Applied AI / ML)

Qvest US

Austin, TX • Remote

$107K - $146.90K/yr

Full-time

Posted 25 days ago

Job description

Who We Are
Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards.
 
About the IDC
The IDC is our Innovation and Development Center. We build custom software using modern technologies to solve complex business problems for our clients. We believe the best products and services are realized by knowledgeable, tight-knit teams aligned to a shared purpose and understanding. 

Who we're seeking
As a Senior Engineer, you enjoy solving problems and thrive in fast-paced, collaborative environments. You are looking for a role where you can work on varied projects, and influence technologies and solutions for both Qvest internal and client external projects. You thrive in environments where you're able to demonstrate technical competency while working individually, closely with team members, or directly with our clients.

Specifically working in our Applied AI / ML practice, you are a self driven engineer who loves to identify and experiment with new approaches, technologies, or tools which will impact our projects or industry. Examples could include emergent architectural approaches, new cloud provider offerings, or productivity enhancers (new tooling, Chat-GPT, Copilots, or similar).
What you'll do
  • You will provide leadership within software teams; as a mentor, team-lead, trusted client-facing technologist and/or as a hands-on contributor
  • You will impact all phases of our projects and all phases of the SDLC
  • You will leverage your existing depth of knowledge to maximize your impact
  • You will grow into new and/or adjacent technologies and domains to broaden your impact
  • Present solutions to clients as well as Qvest team members
  • Shape the kind of technologies that we are going to be using
What you'll bring
  • 4-6 years in software development, including working in teams
  • Experience with agile methodologies such as Scrum, Kanban or XP
  • Experience in ML / Applied AI tools and patterns including LLM, MLOps, RAG 
  • Experience using different models (OpenAI, ChatGPT, Claude, Amazon Bedrock, LLaMA etc..) and understanding applicability to purpose / use case balancing cost vs. functionality
  • Experience developing copilots
  • Experience developing RAG applications
  • Experience with and around discussing enterprise deployments, knowing the landscape of enterprises, (their API’s, systems etc..) and the ability to communicate with client leadership in this area
  • Experience with Vector Database and Embeddings
  • Experience with Graph Databases 
  • Definition, utilization and implementation of CI/CD pipelines
  • Familiarity with SOA, Microservices, or similar architectural patterns
  • Experience constructing systems by utilizing a separation of concerns (good OOP, FP design, etc)
  • Experience with enterprise application integration, including defining the integration architecture, integration data flows and interfaces, integration mechanisms (e.g., async vs. synchronous), middleware, etc.
  • Experience with typical AuthN/AuthZ methods and products
  • Experience managing data, including the selection of persistence product, design of database schema, constraints and transaction boundaries, read/write design trade-off decisions and how it relates to mutable vs. immutable data state
  • Experience balancing feature development vs. technical debt accumulation in order to deliver business needs while also maintaining quality over time
Travel Requirements
Employees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region.
 
Remote & Hybrid Work
While remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive.
 
Life at Qvest
We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest US is currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel."
 
Equal Employment Opportunity
Qvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.