Top Senior Level Data Engineer Jobs in Austin, TX
Responsible for defining and driving data governance within the Finance organization. Working closely with leaders and process owners to implement data policies and standards. Developing strategies for data quality, automation, and maintaining a data dictionary of key Finance data attributes.
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 in support of product, analytics, and ML initiatives.
Design, develop, and maintain scalable solutions for ongoing metrics, reports, and analyses to support analytical and business needs. Use SQL and data visualization tools to answer business questions and drive team consensus. Collaborate with stakeholders to translate data into business requirements. Ensure data integrity, troubleshoot data-quality issues, and recommend improvements to data sources.
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The senior engineering manager will lead a team of engineers to build and scale Dropbox's AI offering, Dash. They will be responsible for driving product monetization, fostering a collaborative culture, and providing strategic direction.
The Senior Site Reliability Engineer - Database at Iodine Software is responsible for managing and growing data platforms, collaborating with other SREs and Platform Engineering on infrastructure projects, consulting on database performance, and engineering new solutions for infrastructure growth.
The Senior Data Engineer at 2K will focus on data deliverables for Business and Studio, designing and building data models, building APIs and data products, monitoring data pipelines, and collaborating with business partners and developers.
Lead the implementation of Oracle Master Data Management solutions across multiple sectors and address finance, supply chain, marketing, and operational requirements.
Principal Machine Learning Engineer at Realtor.com. Lead collaboration with data scientists, product managers, and other cross-functional teams to build new data driven and machine learning based features for enriching the consumer experience.
Provide technical leadership, automate team efficiency, maintain software quality, collaborate with developers and stakeholders, analyze data problems, assess optimization opportunities.
Support Database Migrations, Query Optimization, Index Tuning, Database Tuning. Define Architecture and Data Models. Work with Development Teams, Maintain Security Standards, Monitor Databases, Establish Access Schemes, Write Documentation.
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