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Tencent
Palo Alto, CA, United States
Work Mode: Onsite Responsibilities: Tencent is a world-leading internet and technology company that develops innovative products and services to improve the quality of life of people around the world. Founded in 1998 with its headquarters in Shenzhen China, our guiding principle is to use technology for good. We are not only a major video game
Job Source: TencentAnalog Devices
San Jose, CA, United States
Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and rel
Job Source: Analog DevicesGeneral Motors
Mountain View, CA, United States
Description Work Arrangement Remote OR Hybrid This role is based remotely but if you live within a 50-mile radius of Roswell, GA, Austin TX, Mountain View, CA, or Warren, MI, you are expected to report to that location three times a week, at minimum The Role The Sr Data Engineer role is responsible for designing, developing, and maintaining data
Job Source: General MotorsIllumio
Sunnyvale, CA, United States
On-site work model with 5 days in office/week in Sunnyvale, CA Targeted hire date of February 1, 2024 About the Team: Illumio's new Machine Learning (ML) team embodies a culture of thought leadership, independence, and responsibility, holding a significant and highly visible role within our Engineering division. This dynamic team is tasked with d
Job Source: IllumioCavnue
Mountain View, CA, United States
We believe that the future of transportation is automated. Automated travel will be safer, more comfortable, more efficient and a powerful economic enabler for our communities. However, automating driving is a massively complex engineering challenge, requiring vehicles to navigate social norms, regional traffic patterns, unpredictable weather inci
Job Source: CavnueTrackonomy Systems
San Jose, CA, United States
Join the Trackonomy Team! At Trackonomy, our employee value proposition champions your growth through varied responsibilities and a commitment to innovation. Join us to evolve professionally in a company that reshapes both industries and individuals. Connection & Community: You're essential to Trackonomy's mission, and every team member is regar
Job Source: Trackonomy SystemsBill.com
San Jose, CA, United States
Do the best work of your career, helping businesses change the way they manage finances. BILL is a leader in financial automation software for small and midsize businesses (SMBs). As a champion of SMBs, we are dedicated to automating the future of finance so businesses can thrive. Hundreds of thousands of businesses trust BILL solutions to manage
Job Source: Bill.comWealthfront
Palo Alto, CA, United States
The data that we have at Wealthfront is very valuable - client financial behavior. It is extremely useful to help our clients make the best financial decisions for themselves and for our business to provide the right products and services. As a Wealthfront Data Engineer, you will work closely with Data Scientists, Product Managers, Marketing and Fi
Job Source: WealthfrontMountain View, CA, United States
Harness is a high-growth company that is disrupting the software delivery market. Our mission is to enable the 30 million software developers in the world to deliver code to their users reliably, efficiently, securely and quickly, increasing customers’ pace of innovation while improving the developer experience. We offer solutions for every step of the software delivery lifecycle to build, test, secure, deploy and manage reliability, feature flags and cloud costs. The Harness Software Delivery Platform includes modules for CI, CD, Cloud Cost Management, Feature Flags, Service Reliability Management, Security Testing Orchestration, Chaos Engineering, Software Engineering Insights and continues to expand at an incredibly fast pace.
Harness is led by technologist and entrepreneur Jyoti Bansal, who founded AppDynamics and sold it to Cisco for $3.7B. We’re backed with $425M in venture financing from top-tier VC and strategic firms, including J.P. Morgan, Capital One Ventures, Citi Ventures, ServiceNow, Splunk Ventures, Norwest Venture Partners, Adage Capital Partners, Balyasny Asset Management, Gaingels, Harmonic Growth Partners, Menlo Ventures, IVP, Unusual Ventures, GV (formerly Google Ventures), Alkeon Capital, Battery Ventures, Sorenson Capital, Thomvest Ventures and Silicon Valley Bank.
Position Summary We are seeking a talented and experienced data engineer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining our data pipelines and infrastructure. They will work closely with cross-functional teams to understand data requirements, implement solutions, and ensure data quality and reliability. The data engineer will also be involved in optimizing data processes and supporting data analytics initiatives.
About the role Design, build, and maintain scalable data pipelines and infrastructure to support data ingestion, processing, and storage.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and develop solutions to meet business needs.
Implement data quality checks and ensure data integrity and reliability throughout the data lifecycle.
Optimize and tune data pipelines for performance and efficiency.
Troubleshoot and debug data-related issues, and provide timely resolution.
Stay updated with the latest technologies and best practices in data engineering and apply them to improve existing systems.
Document data architecture, processes, and workflows.
Provide support and guidance to junior members of the team.
About you Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred.
3+ yrs of proven experience as a data engineer or similar role, with a strong background in data warehousing, ETL/ELT processes, and data modeling.
Proficiency in programming languages such as Python, Java, or Scala.
Experience with big data technologies such as BigQuery, Spark, Kafka, DBT, SQLMesh etc.
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
Strong SQL skills and experience working with relational and NoSQL databases.
Familiarity with data visualization tools such as Tableau, Power BI, or Looker.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Preferred Experience
Experience with containerization and orchestration tools such as Docker and Kubernetes.
Knowledge of machine learning techniques and frameworks.
Experience with DevOps practices and tools for CI/CD.
Work Location Mountain View, CA - Hybrid (3 days / week onsite)
What you will have at Harness Flexible Spending Account (FSA)
Employee Assistance Program (EAP)
Flexible Time Off and Parental Leave
Monthly, quarterly, and annual social and team building events
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.
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Email Alert for Senior Data Engineer jobs in Mountain View, CA, United States
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