Data Engineer Jobs in Austin, USA

<div class="content-intro"><p>SpyCloud is on a mission to make the internet a safer place by disrupting the criminal underground. SpyCloud’s solutions thwart cyberattacks and protect more than 4 billion accounts worldwide. Cybersecurity is an exciting, evolving space, and being at the forefront of the fight to disrupt cybercrime makes SpyCloud a special place to work. If you’re driven to align your career with a fantastic mission, look no further!</p></div><p>As a Senior Data Engineer at SpyCloud, you will lead the architectural transformation of our data systems, working closely with Product Management, SpyCloud Labs, and Engineering teams. Your focus will be on modernizing our data platform utilizing Databricks and serving customers via purpose-built data stores (RDS, Elasticsearch, DynamoDB…etc), This is a hands-on, strategic leadership role shaping the future of data at SpyCloud.</p> <p><strong>What You'll Do:</strong></p> <ul> <li>Redesign and modernize data architecture for scalability, performance, and AI-readiness</li> <li>Use databricks/spark to prepare, transform and serve data to customers</li> <li>Build and optimize real-time and batch data pipelines using AWS tools (e.g, Lambda, S3, DynamoDB, ECS, EKS, Terraform)</li> <li>Design systems to prepare and serve high-quality data for ML models and LLM applications</li> <li>Optimize cost and performance of daily data ingestion, transformation, and storage workflows</li> <li>Work with Product and Engineering teams to ensure data solutions meet product requirements</li> <li>Evaluate and implement modern tooling for data processing, ML data workflows, and observability</li> <li>Guide and mentor data engineers, championing best practices and technical excellence</li> <li>Ensure operational data quality, security, and reliability across systems</li> <li>Lead long-term data architecture planning aligned with company and AI-driven goals</li> </ul> <p><strong>Requirements:</strong></p> <ul> <li>8+ years of experience in data engineering or closely related disciplines</li> <li>2+ years in a technical leadership or senior engineering role</li> <li>Experience building and operating Lakehouse, Databricks, or large-scale distributed data lake architectures in AWS</li> <li>Knowledge of distributed systems as it pertains to data storage and computing</li> <li>Experience building and managing large Elasticsearch/Opensearch data stores</li> <li>Hands on experience building ETL scripts</li> <li>Hands-on experience preparing and managing data for machine learning and LLM workflows</li> <li>Strong development skills in Python, especially in building data-intensive systems</li> <li

How often have you had an opportunity to be a member of a team that is tasked with solving customer needs through disruptive and innovative technology? Everyone on the team needs to be entrepreneurial, wear many hats and work in a fast-paced, ambiguous, and highly collaborative environment that’s more startup than big company. If this sounds intriguing, then we’d like to talk to you about a role on the Amazon Defect Elimination Analytics team. This team drives Amazon towards a defect-free customer experience by building technology that rapidly identifies defects, associates them with the information required to resolve the root cause, and prioritizes the multitude of improvement opportunities based on business and customer needs. To continue expanding our defect elimination program, we seek a passionate, results-oriented, Senior Data Engineer.<br/><br/>The Senior Data Engineer will partner with Software Developers, Research Scientists, Business Intelligence Engineers, Program & Product Managers to provide insights on customer feedback, create key performance indicators for our products, and assist in feature engineering and model development. You will also play a key role in building the data infrastructure that powers AI/ML and LLM-based systems, including designing pipelines that feed agentic workflows and retrieval-augmented generation (RAG) architectures. The ideal candidate has strong business judgment, organization skills, backbone, experience measuring product performance, and collaborates well with product owners to answer key questions. The operating environment is fast paced and dynamic, however has a strong team orinted and welcoming culture. To thrive, you must be detail oriented, enthusiastic and flexible, in return you will gain tremendous experience with the latest in big data technologies, generative AI infrastructure, and exposure to statistical and Natural Language modeling through collaboration with scientists on global issue detection models and development.<br/><br/>Key job responsibilities<br/> - Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc.<br/> - Partner with operations/business teams/economist/ML teams to consult, develop and implement KPI's, automated reporting/process solutions and data infrastructure improvements to meet business needs.<br/> - Build and maintain data infrastructure for AI agent systems, including vector databases, embedding pipelines, and retrieval-augmented generation (RAG) data stores.<br/> - Design data architectures that enable agentic workflows - structured data access layers, tool-use APIs, context management systems that AI agents consume autonomously, self-serve analytics.<br/> - Develop observability and evaluation pipelines for LLM-powered features, including tracking model performance, hallucination rates, latency, and cost metrics at scale.<br/> - Apply analytic skill to extract meaningful insights and learnings from large and complicated data sets, including unstructured text corpora used for generative AI applications.<br/> - Serve as liaison with Business and technical teams to achieve project objectives, requiring data gathering, problem solving, modeling, and communication of insights and recommendations.<br/> - Stay current with advances in AI/ML data infrastructure (e.g., feature stores, vector search, streaming inference pipelines) and evaluate their applicability to defect elimination use cases.<br/><br/>A day in the life<br/>If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! <br/>

Join the OIS/CXI Analytics team to build strategic data infrastructure powering Amazon's Operations Technology ecosystem. Our team provides critical data infrastructure support for OpsTech IT, supporting Amazon's global customer commitment. You'll work at the intersection of large-scale data processing and real-world operational impact — creating intelligence that directly influences how Amazon fulfills millions of orders across fulfillment centers, Amazon Fresh, Prime Now, Lockers, Pantry, and Amazon Campus.<br/><br/>As a Data Engineer, you will build and maintain scalable data pipelines and ML-ready data infrastructure that power AI-enabled operational insights and Data Science initiatives across Amazon's global fulfillment and maintenance networks. You will design and implement ETL/ELT pipelines, build feature engineering workflows, and partner with ML Engineers, Data Scientists, Applied Scientists, and BIEs to deliver data products that drive measurable business outcomes. You will contribute to MLOps data practices — including data versioning, pipeline monitoring, and model retraining data support — and help establish engineering best practices within the team. You will support Data Science teams by building curated, analysis-ready models and datasets and enabling self-service data access through well-governed data infrastructure. This role directly enables the team's mission to implement GenAI solutions for automated reporting, diagnostics, and predictive and prescriptive analytics across worldwide operations.<br/><br/>This is a high-impact Subject Matter Expert (SME) role with significant opportunity to grow technical scope and organizational influence at the intersection of data engineering, Data Science, and AI. <br/><br/><br/>Key job responsibilities<br/>- Design, build, and maintain production-grade ETL/ELT pipelines and big data infrastructure supporting OTS operational intelligence.<br/>- Build feature engineering workflows and ML-ready data pipelines that support Data Science experimentation and production model serving.<br/>- Contribute to data governance and quality standards across analytical and ML data products.<br/>- Support implementation of GenAI solutions for automated reporting, diagnostic, predictive, and prescriptive analytics.<br/>- Build and maintain semantic layers and dashboard data models that power worldwide operations business selections.<br/>- Partner with Program Managers, BI teams, ML Engineers, Data Scientists, and operational stakeholders to prioritize work aligned with OTS business goals.<br/>- Follow and contribute to best practices for data engineering, including code reviews, testing, monitoring, and documentation.<br/><br/><br/>A day in the life<br/>Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:<br/><br/>1. Medical, Dental, and Vision Coverage<br/>2. Maternity and Parental Leave Options<br/>3. Paid Time Off (PTO)<br/>4. 401(k) Plan<br/><br/>If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!<br/>

Join the OTS Data ANCHOR team to build strategic data infrastructure powering Amazon's Operations Technology ecosystem. Our team provides critical data infrastructure support for OpsTech IT, supporting Amazon's global customer commitment. You'll work at the intersection of large-scale data processing and real-world operational impact — creating intelligence that directly influences how Amazon fulfills millions of orders across fulfillment centers, Amazon Fresh, Prime Now, Lockers, Pantry, and Amazon Campus.<br/><br/>As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data infrastructure that power AI-driven operational insights and Data Science initiatives across Amazon's global fulfillment and maintenance networks. You will design and implement ETL/ELT pipelines, build feature engineering workflows, and collaborate with Solution Architects, Data Engineers, Applied Scientists, and BIEs to deliver data products that drive measurable business outcomes. You will contribute to Data Ops and AI intelligent data practices — including data versioning, pipeline monitoring, and model retraining data support — and help establish engineering best practices within the team. This role directly enables the team's mission to implement GenAI solutions for automated reporting, diagnostics, and predictive and prescriptive analytics across worldwide operations.<br/><br/>This is a high-impact individual contributor role with significant opportunity to grow technical scope and organizational influence at the intersection of data engineering, Data Science, and AI.<br/><br/><br/>Key job responsibilities<br/>- Design, build, and maintain production-grade ETL/ELT pipelines and big data infrastructure supporting OTS operational intelligence.<br/>- Build feature engineering workflows and ML-ready data pipelines that support Data Science experimentation and production model serving.<br/>- Contribute to data governance and quality standards across analytical and ML data products.<br/>- Support implementation of GenAI solutions for automated reporting, diagnostic, predictive, and prescriptive analytics.<br/>- Build and maintain semantic layers and dashboard data models that power worldwide operations business decisions.<br/>- Collaborate with Program Managers, BI teams, ML Engineers, Data Scientists, and operational stakeholders to prioritize work aligned with OTS business goals.<br/>- Follow and contribute to best practices for data engineering, including code reviews, testing, monitoring, and documentation.<br/><br/>A day in the life<br/>Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. <br/><br/>The benefits that generally apply to regular, full-time employees include: <br/>- Medical, Dental, and Vision Coverage <br/>- Maternity and Parental Leave Options <br/>- Paid Time Off (PTO) <br/>- 401(k) Plan   <br/><br/>If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! <br/><br/>At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

Join the OTS Data ANCHOR team to build strategic analytics powering Amazon's Operations Technology ecosystem. Our team provides critical data infrastructure support for OpsTech IT, supporting Amazon's global customer commitment. You'll work at the intersection of large-scale data processing and real-world operational impact, creating intelligence that directly influences how Amazon fulfills millions of orders.<br/><br/>As a Data Engineering Manager, you'll lead one of our core teams responsible for transforming operational data into actionable insights and building mission-critical data products that power worldwide operations business decisions across fulfillment centers, Amazon Fresh, Prime Now, Lockers, Pantry, and Amazon Campus. In this role, you'll drive technical excellence while building and mentoring a high-performing team of business intelligence engineers and data engineers, architecting scalable solutions that process enormous amounts of data daily. We expect you to bring strong technical acumen combined with strategic thinking to solve complex problems at scale, while maintaining high operational standards and driving innovation in both traditional analytics and AI/ML domains to enable our teams to support IT operations globally.<br/><br/><br/><br/>Key job responsibilities<br/>- Delivery of robust, scalable data solutions supporting OTS data infrastructure.<br/>- Leadership in data governance and quality standards.<br/>- Implementation of GenAI solutions for automated reporting, diagnostic, predictive & prescriptive analytics.<br/>- Own technical delivery and team leadership for development and maintenance of scalable ETL/big data pipelines, semantic layers, and dashboard data models.<br/>- Collaborate with Program Managers, BI teams, and stakeholders to prioritize work aligned with OTS business goals.<br/>- Establish best practices for data engineering, including code reviews, testing, monitoring, and documentation.<br/>- Drive team growth through mentoring, coaching, and career development.<br/><br/><br/>A day in the life<br/>Amazon Benefits:<br/>Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:<br/>1. Medical, Dental, and Vision Coverage<br/>2. Maternity and Parental Leave Options<br/>3. Paid Time Off (PTO)<br/>4. 401(k) Plan<br/>If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skill sets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

Amazon's Worldwide Grocery Stores-Grocery Tech Foundation team is seeking an experienced Data Engineer to lead medium to large cross-functional strategic initiatives that support WWGS strategic goals. This is a unique opportunity for someone inspired by WWGS core values and is interested in Amazon’s high-growth grocery business to bring their whole self to the role.<br/><br/>Key job responsibilities<br/>- Participate in on-call rotation to provide support for custom-built reporting and analytical applications, ensuring business-as-usual operations and timely data delivery for business users.<br/>- Lead data integration, reporting, and analytics projects, leveraging experience in enterprise data engineering.<br/>- Understand business requirements, design and implement scalable data model, ETL processes and reporting to address business needs.<br/>- Design and build next-generation data infrastructure to replace existing third-party solutions. <br/>- Collaborate cross-functionally with Data Engineers, Software Developers, Business Intelligence Engineers, Analysts, Product Managers, and Program Managers. <br/>- Transform complex datasets into automated, digestible analytic deliverables. <br/>- Demonstrate strong organizational skills, decisiveness, and ownership while working in a team environment. <br/>- Drive significant impact through modernized design, architecture, and development of data products. <br/>- Contribute technical expertise to help transition the organization from legacy solutions to future-state data infrastructure.<br/>- Partner with data engineering team members to deliver on strategic vision and objectives.<br/><br/>A day in the life<br/>Ensure business continuity and on-time data delivery to business users. Work with your leadership to define and execute the reporting and analytics strategy for WWGST. This will involve leveraging your Data Modeling, SQL and coding skills in languages like Python, Pyspark and Java to extract, transform, and load data. You will collaborate closely with both internal and external teams to scope, design, build, and support efficient and cost-effective data pipelines focused on performance, operational excellence, and delivering business value. This work will span multiple technology stacks, including a custom-built proprietary Amazon framework. You will participate in and lead standups, design sessions, and Jira management, creating necessary documentation and artifacts. Additionally, you will have the opportunity to lead and mentor your peers.<br/><br/>About the team<br/>The Data Platform Management (DPM) team under Grocery Tech Foundation (GTF) is responsible for data and reporting solutions for Grocery business users. We enable sophisticated, fact-based decision making across WWGST by delivering constantly evolving technology and analytic capabilities. This team will solve challenging and novel problems every day while collaborating with multiple teams across WWGST. You will be able to enjoy and contribute to the unique blend of Amazon and WFM Tech culture.

Data Engineer at Fluidstack. Apply via Ashby.

&lt;p&gt;&amp;nbsp;&lt;/p&gt; &lt;h2&gt;&lt;strong&gt;Who We Are&lt;/strong&gt;&lt;/h2&gt; &lt;p&gt;Headquartered in New York City, Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. We develop and publish products principally through Rockstar Games, 2K, and Zynga. Our strategy is to create hit entertainment experiences, delivered on every platform relevant to our audience through a variety of sound business models. Our pillars - creativity, innovation, and efficiency - guide us as we strive to create the highest quality, most captivating experiences for our consumers. The Company’s common stock is publicly traded on NASDAQ under the symbol TTWO. For more corporate and product information please visit our website at &lt;a href=&quot;http://www.take2games.com/&quot; target=&quot;_blank&quot;&gt;http://www.take2games.com&lt;/a&gt;.&lt;/p&gt; &lt;p&gt;While our offices (physical and virtual) are casual and inviting, we are deeply committed to our core tenets of creativity, innovation and efficiency, and individual and team development opportunities. Our industry and business are continually evolving and fast-paced, providing numerous opportunities to learn and hone your skills. We work hard, but we also like to have fun, and believe that we provide a great place to come to work each day to pursue your passions.&lt;/p&gt; &lt;h2&gt;&amp;nbsp;&lt;/h2&gt; &lt;h2&gt;&lt;strong&gt;The Challenge&lt;/strong&gt;&lt;/h2&gt; &lt;p&gt;We are looking for a dynamic Data Engineer to join a team involved in designing, building, and maintaining reliable and scalable data solutions.&lt;/p&gt; &lt;p&gt;The ideal candidate is a strong Python developer who has some experience in front-end technologies like JavaScript, CSS3 and/or HTML5. They are a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail) and enjoy working in a fast-paced environment.&lt;/p&gt; &lt;h2&gt;&amp;nbsp;&lt;/h2&gt; &lt;h2&gt;&lt;strong&gt;What You’ll Take On&lt;/strong&gt;&lt;/h2&gt; &lt;ul&gt; &lt;li&gt;Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.&lt;/li&gt; &lt;li&gt;Work with business teams and analysts to understand complex business rules and implement these for deriving insights.&lt;/li&gt; &lt;li&gt;Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.&lt;/li&gt; &lt;li&gt;Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.&lt;/li&gt; &lt;li&gt;Provide thought leadership and collaborate with other team members to continue to scale our architecture to evolve for the needs of tomorrow.&lt;/li&gt; &lt;li&gt;Develop and support continuous integrations build and deployment proce

Data Engineer, Cloud Platform at Contoro. Apply via Ashby.