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Graph Database Jobs in Austin, TX (NOW HIRING)

Amazon

Data Engineer, Marketplace

Austin, TX · On-site

$113K - $136K/yr

... graph databases, column-family databases) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Seekr

Forward Deployed Engineer

Austin, TX · On-site

Familiar with common graph databases and graph languages (e.g., Neo4j, AGE, SPARQL, Cypher) * Familiarity with vector databases, retrieval-augmented generation (RAG) architectures, and enterprise ...

Dell GmbH

Senior Advisor, Data Science

Round Rock, TX · On-site

$127K - $127K/yr

Experience working with Graph databases, taxonomies, and Natural Language Processing strategies (NLP) for optimization, knowledge of Taxonomy and Ontology Management Systems tools like GraphWise ...

Globalfoundries

Sr Lead Data Systems Engineering

Austin, TX · On-site

$105K - $142K/yr

... database technology and data use within analytic platforms * Hands-on expertise in Ab Initio GDE, Co>Operating System, EME, Conduct>It, Express>It, DML, XFR, multifile systems, and graph ...

Varsity Tutors

Discrete Math Tutor

Austin, TX · Remote

$40/hr

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number ... Emphasizes logical reasoning and rigorous argumentation, connecting discrete structures to database ...

Varsity Tutors

Discrete Math Tutor

Round Rock, TX · Remote

$40/hr

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number ... Emphasizes logical reasoning and rigorous argumentation, connecting discrete structures to database ...

Varsity Tutors

Discrete Math Tutor

San Marcos, TX · Remote

$40/hr

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number ... Emphasizes logical reasoning and rigorous argumentation, connecting discrete structures to database ...

Amat

Manager, Data Scientist

Austin, TX · On-site +1

$176K - $242K/yr

Architect and develop enterprise AI platforms leveraging Azure AI, Databricks, Python, vector databases, graph databases, cloud-native technologies, and modern machine learning frameworks. Build and ...

Applied Materials

Manager, Data Scientist

Austin, TX · On-site

$176K - $242K/yr

Architect and develop enterprise AI platforms leveraging Azure AI, Databricks, Python, vector databases, graph databases, cloud-native technologies, and modern machine learning frameworks. Build and ...

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Showing results 21-40

All JobsGraph Database JobsGraph Database Jobs in Austin, TX

Graph Database information

See Austin, TX salary details

$26

$52

$80

How much do graph database jobs pay per hour?

As of Sep 11, 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?

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.

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 August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $109,517 per year, or $52.7 per hour.

Data Engineer, Marketplace

Austin, TX • On-site

Amazon
IT Services • 10K+ employees
Learn more about Amazonexternal

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Key responsibilities

  • Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for analytics.

  • Implement data ingestion routines both real-time and batch using AWS technologies and data tools.

  • Provide online reporting and analysis using business intelligence tools and create a logical abstraction layer against large, multi-dimensional datasets and multiple sources.

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,171 frontline employees who took The Breakroom Quiz

Job description

Sales, Marketing and Global Services (SMGS)
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
The AWS Marketplace team is looking for a Data Engineer to play a key role in building insights from our large and ever-growing sets of partner and customer data. Are you passionate about highly scalable data platforms and visualization? Do you enjoy building end to end analytics solutions to help drive business decisions? If so, this role will challenge and excite you!
The Data Engineer will design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for analytics. Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes leveraging AWS technologies and data tools. Provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources. Produce comprehensive, usable dataset documentation and metadata. Provides input and recommendations on technical issues.
10010
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Austin - 132,100.00 - 178,800.00 USD annually

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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