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You will be updated with latest job alerts via email$ 184000 - 230000
1 Vacancy
Everyone is welcome at Handshake. We know diverse teams build better products and we are committed to creating an inclusive culture built on a foundation of respect for all individuals. We strongly encourage candidates from nontraditional backgrounds historically marginalized or underrepresented groups to apply.
Want to learn more about what its like to work at Handshake Check out these interviews from our team members!
At Handshake we are assembling a team of dynamic engineers who are passionate about creating highquality impactful products. As a Senior Data Engineer you will play a key role in driving the architecture implementation and evolution of our cuttingedge data platform. Your technical expertise will be instrumental in helping millions of students discover meaningful careers irrespective of their educational background network or financial resources.
Our primary focus is on building a robust data platform that empowers all teams to develop datadriven features while ensuring that every facet of the business has access to the right data for making informed conclusions. While this individual will work closely in collaboration with our ML teams they will also be supporting our businesses data needs as a whole.
Technical leadership: Taking ownership of the data engineering function and providing technical guidance to the data engineering team. Mentoring junior data engineers fostering a culture of learning and promoting best practices in data engineering.
Collaborating with crossfunctional teams: Working closely with product managers product engineers and other stakeholders to define data requirements design data solutions and deliver highquality datadriven features.
Data architecture and design: Designing and implementing scalable and robust data products that enable selfserve analytics for internal and external use. Staying abreast of emerging technologies and tools in the data engineering space evaluating their potential impact on the data platform and making strategic recommendations.
Performance optimization: Identifying performance bottlenecks in data processes and implementing solutions to enhance data processing efficiency.
Data quality and governance: Ensuring data integrity reliability and security through the implementation of data governance policies and data quality monitoring.
Advancing our Generative AI strategy: Leveraging your Data Engineering knowledge to design and implement data pipelines that support our AI Initiatives for both internal development and product features advising and working in collaboration with our ML teams.
Extensive data engineering experience: A proven track record in designing and implementing largescale complex data pipelines data warehousing solutions and data products. Deep knowledge of data engineering technologies tools and frameworks.
Software engineering excellence: Experience implementing software engineering best practices in build services for data consumption ensuring reliability maintainability and scalability of data delivery systems.
Cloud platform proficiency: Handson experience with cloudbased data technologies preferably Google Cloud Platform (GCP) including BigQuery DataFlow BigTable and more
Problemsolving abilities: Exceptional problemsolving skills with the ability to tackle complex data engineering challenges and propose innovative solutions.
Collaborative mindset: A collaborative and teamoriented approach to work with the ability to communicate effectively with both technical and nontechnical stakeholders.
Machine learning for data enrichment: Experience in applying machine learning techniques to data engineering tasks for data enrichment and augmentation.
End to end data service deployment comfortable with product alignment of datadriven initiatives
Containerization and orchestration: Familiarity with containerization technologies like Docker and container orchestration platforms like Kubernetes.
dbt: Experience with dbt as a data transformation tool for orchestrating and organizing data pipelines.
$184000 $230000
For cash compensation we set standard ranges for all roles based on function level and geographic location benchmarked against similar stage growth companies. In order to be compliant with local legislation as well as to provide greater transparency to candidates we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including geographic location as well as candidate experience and expertise and may vary from the amounts listed above.
Handshake is the career platform for Gen Z. With a community of over 17 million students alumni employers and career educators Handshakes network is where career advice and discovery turn into first second and third jobs. Nearly 1 million companies use Handshake to build their future workforcefrom Fortune 500 to federal agencies school districts to startups healthcare systems to small businesses. Handshake is built for where youre going not where youve been.
When it comes to our workforce strategy weve thought deeply about how worklife should look at Handshake. With our hybridwork model employees benefit from collaboration and shared team experiences three days per week in our vibrant offices and enjoy the flexibility of remote work two days per week (unless noted in the specific job posting). Handshake is headquartered in San Francisco with offices in New York London and Berlin.
At Handshake well give you the tools to feel healthy happy and secure.
Benefits below apply to US employees in fulltime positions.
Looking for more Explore our mission values and comprehensive US benefits at is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation please let your recruiter know during initial communications.
Required Experience:
Senior IC
Full-Time