Top Data Engineer Jobs in Austin, TX
As a Machine Learning Engineer at Liftoff, you will own ML models with direct business impact, adopt new technologies, mentor team members, monitor ML research, and influence team roadmaps. Requires 8+ years of ML experience, strong engineering skills, and a degree in Machine Learning, Math, Physics or similar. Experience with AdTech is a plus.
Machine Learning Engineer on the Embeddings team at Liftoff.
Ontra is seeking a Senior Data Engineer to create and own a data engineering roadmap, collaborate with product and engineering teams, and build data processing pipelines and infrastructure. The role requires 5+ years of core data engineering experience with technical skills in SQL, Python, Snowflake, dbt, Airflow, Kubernetes, Docker, DataDog, and AWS.
As a Manager in Test Data Management, responsibilities include developing new skills, resolving issues, coaching team members, analyzing complex ideas, using data for decision-making, and managing global trends.
As a Manager in Test Data Management, responsibilities include developing new skills, resolving team issues, coaching others, analyzing complex ideas, and using data to inform decisions. Minimum qualification includes a high school diploma and 4 years of QA or technology experience.
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Seeking an experienced professional to lead data migration initiatives, develop and execute data modernization roadmaps, drive innovation, optimize resource allocation, ensure fiscal responsibility, and champion stakeholder engagement. Responsibilities include overseeing transformation of legacy data systems, enhancing data quality and accessibility, and fostering innovation through DataOps principles.
Senior Machine Learning Engineer responsible for developing machine learning model pipelines, architecting APIs, and creating microservices. Stay updated on latest ML technologies, implement best practices, and collaborate with cross-functional teams for product delivery.
The Senior Database Engineer at ServiceNow will be responsible for ensuring the production stability of customer applications and infrastructure services from an operations perspective. The ideal candidate will have a strong background in database technologies, performance tuning, and troubleshooting skills. They will work in a fast-paced environment, supporting the infrastructure and learning the platform end to end.
Play a major part in building AI and Machine Learning solutions that transform user experience and workflow efficiency of enterprise services. Collaborate with a team of developers, product managers, and quality engineers to produce quality software. Work with product owners to understand detailed requirements and own code from design to delivery of high-quality solutions.
ServiceNow is seeking a Senior Director of AI Ethics and Data Governance to spearhead the strategic evolution and operationalization of data governance and AI ethics capabilities across the company. This role involves providing strategic legal counsel on Data Governance and AI Governance Models, advising the Chief Ethics and Compliance Officer, leading a team of data governance professionals, evolving data governance strategy, collaborating with strategic partners, fostering a culture of data responsibility, championing innovation in data governance practices, and offering thought leadership on data governance best practices and responsible AI principles.
Lead Data Engineer responsible for designing and building reusable data integration components and frameworks at scale. Will work with various data sources, develop data pipelines, and collaborate with DevOps and data scientists.
The Manager of Machine Learning Engineering at Samsara leads teams in building and managing machine learning solutions for customers, focusing on computer vision, sensor fusion, and AI deployment. This role is fully remote in the US and Canada, with a focus on impactful technology development for industries like transportation and manufacturing.
Design and implement advanced signal processing techniques for prognostics applications in vehicles, collaborate with cross-functional teams to integrate signal processing algorithms, optimize algorithms for performance and reliability, stay updated with latest signal processing and automotive technologies.
Design and develop robust and scalable data models for analytical stakeholders. Implement best practices around Data Governance, Data Quality, and pipeline optimization. Lead efforts to build curated data sets for reporting and analytics. Collaborate with data engineers and platform teams to create analytics pipelines. Train users on BI tools and dashboards. Partner with analytics squads on the analytics roadmap.
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