Top Data Engineer Jobs in Austin, TX
As a Data Engineer, you will design and maintain data pipelines, ensuring data accessibility for data science and machine learning initiatives while collaborating with stakeholders and adhering to compliance standards. Responsibilities include developing scalable data systems, managing environments, and mentoring junior engineers.
The Data Analytics Tester is responsible for validating product raw data sources, executing SQL queries, testing telemetry events, creating test cases, and ensuring data integrity in the data warehouse.
As a Senior Data Security Engineer, responsible for developing and implementing data security strategies, conducting assessments, monitoring data security logs, collaborating with IT teams, and ensuring compliance with data security regulations. Additionally, providing security awareness training, participating in incident response planning, and maintaining documentation of data security policies and procedures.
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The Cloud Data & Analytics Senior Manager will help organizations leverage data analytics to drive business results. Responsibilities include aligning client data strategies, assisting in platform selection, and migrating to modern cloud environments. The role requires leadership in managing diverse teams, problem-solving, and contributing technical knowledge in cloud data architecture.
As a Machine Learning Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, tune and evaluate models, and develop evaluation frameworks and metrics. Your role includes building and evaluating deep learning models and transformer-based models, working collaboratively within an AI engineering team.
Interact with top technologists in a fast-paced, AI-driven team building innovative software for the insurance industry. Responsibilities include working with Google Cloud, Kubernetes, and various services, coding in Kotlin, Python, Java, and JavaScript, and utilizing frameworks such as Dataflow, Cloud AI Platform, Spring, and React.
Lead the greenfield development of consumer marketing and app feature attribution products through a combination of platform and data engineering. Collaborate with founders, marketing leadership, product managers, data scientists, and tech leads. Contribute to a team culture that encourages creativity and calculated risks.
The Senior Data Scientist will develop and deploy machine learning models, creating robust data pipelines and conducting data analysis. They will collaborate with various teams to integrate these models into applications while documenting methodologies and staying updated on industry trends.
As a Senior Data Engineer at Two Barrels, you will work closely with our Software and Analyst teams to manage everything that has to do with data. This role will help get large datasets into the hands of people that need it while also making sure it doesn't adversely impact other things we have going on in our software ecosystem. There will be a heavy focus on infrastructure, data pipelines and scalable database design.
As a Senior Data Engineer at PatientIQ, you'll clean and process large datasets using SQL and Python, develop and maintain ETL processes, design scalable data pipelines, and work collaboratively with data analysts to optimize and integrate data for healthcare insights.
Top Companies in Austin, TX Hiring Data + Analytics Roles
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