Top Data Engineer Jobs
Lead the implementation of Master Data Management (MDM) program globally, ensuring data integrity and driving a data culture. Design and manage processes for efficient data governance and management. Collaborate with stakeholders to deploy MDM and optimize data lifecycle for business benefit.
Grainger Technology Group is seeking a Manager of Applied Machine Learning to build scalable ML models for customer data insights and sales team effectiveness. Responsibilities include building predictive models, deploying ML endpoints, and collaborating with cross-functional teams.
Senior Data Consultant specializing in data conversions, responsible for designing, configuring, and testing the Origami platform to meet client needs. Responsibilities include configuring the platform, building integrations, designing data conversion mappings, and collaborating with technical resources. Required qualifications include 6+ years of software design and implementation experience, Bachelor's Degree in a related field, and proficiency in JavaScript, XML, SQL, and Visual Basic.
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Build systems to detect and address problematic content on Roblox, including predatory behavior and child endangerment. Develop ML models, backend services, and platform features to ensure safety across the platform. Collaborate with product teams to prioritize safety and shape long-term strategies for content safety on Roblox.
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Seeking a Data Engineer to build reliable data pipelines for student loans, educational enrollment statuses, and employment data. Responsibilities include data integration, partnering with stakeholders, automated testing, and supporting engineering teams. Requires 2+ years of experience with technologies like Airflow, DBT, Python, SQL, and familiarity with data analytics tools and cloud infrastructure.
Build, orchestrate, and monitor model pipelines, scaling machine learning algorithms, build and enhance ML engineering platforms, implement ML Ops, write production-ready code, collaborate with teams, participate in scrum calls, research latest technologies.
Design and implement technical features leveraging best practices for technology stack being used. Collaborate with client-facing teams to understand solution context and contribute to technical requirement gathering and analysis. Write production-ready code, write unit tests, participate in scrum calls, and research and evaluate the latest technologies.
Atlassians have flexibility in where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Atlassian is ...
The Staff Machine Learning Engineer role at Cruise involves driving applied ML research and development for challenges related to Perception and Object Tracking on urban roads. Responsibilities include exploring new algorithms, optimizing on-road performance, guiding technology choices, and enabling team effectiveness through design and code.
Senior Director of Software Engineering at JPMorgan Chase within the Corporate & Investment Bank Technology team, leading multiple technical areas and driving adoption of technical methods within various teams.
Seeking a skilled Data Domain Architect to transform raw data into actionable insights using Databricks and ThoughtSpot. Responsibilities include designing data solutions, collaborating with cross-functional teams, and maintaining data mart architecture. Requires 7 years of experience in data architecture and a Bachelor's degree in Computer Science or related discipline.
Seeking a Data Engineer with 3-5 years of professional experience, specializing in data engineering. Responsibilities include designing and optimizing data pipelines, performing big data processing with PySpark, and collaborating on ML model implementations.
Senior Data Engineer responsible for developing and implementing data pipelines, focusing on efficient ETL processes, creating scalable data tracking services, and exploring alternatives for streamlined data processing solutions. Hybrid work environment with on-call support and mentoring responsibilities for junior staff members.
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