Senior Data Infrastructure Engineer

Senior Data Infrastructure Engineer

This job is no longer open
Nylas is a pioneer and leading provider of productivity infrastructure solutions for modern software. Over 50,000 developers worldwide use the Nylas platform to quickly and securely build productivity features into their applications. With Nylas, developers get unprecedented access to rich communications data from their end-users, pre-built workflows that automate everyday tasks, embeddable UI/UX components for fast front-end development, and comprehensive security features - all delivered via a suite of powerful APIs that make integration easy.
 
Who We Are
 
Nylas was founded in 2013 and has raised over $175M to date from Tiger Global, 8VC, Spark Capital, Slack, and more; as well as individual investors including Patrick Collison, Co-Founder and CEO of Stripe, John Collison, President and Co-Founder of Stripe, Sebastian Siemiatkowski, CEO of Klarna, and Tony Fadell. Developers around the world use Nylas to quickly and securely build email, scheduling, and work automation features into their applications. Nylas customers include Upwork, Wix, Freshworks, Lever, Dialpad, Ceridian, and Move.com.
 
People First
 
Nylas is a BIG advocate for the well-being of its employees, which is why we have embraced a People First philosophy. It’s about giving more autonomy and flexibility to our employees. It’s not about when, where or how the work is accomplished; it’s about adopting a mindset of velocity and trust when tackling the work. It’s about respecting individual working styles, disabilities, and personal schedules, but also ensuring everyone has a better work-life balance. The outcomes will always be more important than the physical location.
 
Nylanauts have the ability to decide the best workspace or environment that will result in more ideas, engagement, creativity, focus, collaboration, and productivity. Why? Because we want our employees to be great; because we are focussed on being a high-performing team. To achieve this mission, we remove barriers and offer more autonomy. So, Nylanauts are encouraged to find those environments that inspire them to be great. This means Nylanauts can work from the slopes of Montana or from the beaches of Italy.
 
And if Nylanauts want to work from an office in one of our hubs (San Francisco, Denver, New York City, Toronto, and London), they can! The workspace is there to be utilized.
 
So, if you’re looking to join a fast-growing company with a beloved, daily-use product, and an authentic mission that puts people first, we want to meet you. Want to know more?  Check us out on Comparably and Great Place to Work!
 
Recent Awards:
 
Fastest Growing Companies (Inc 500)
2020 Great Place to Work (Great Place to Work)
2020 Best Places for Professional Development (Comparably)
2019 Best Leadership Team (Comparably)
2020 Happiest Employees (Comparably)
2020 Best Companies for Compensation (Comparably)
2020 Best Companies for Perks & Benefits (Comparably)
2020 Best Companies for Work-Life Balance (Comparably)
2021 Best Company Culture (Comparably)
2021 Best CEO (Comparably)
2021 Best Company for Diversity (Comparably)



About the team
Nylas is working on a next generation data platform.  You will be involved in building out the new infrastructure on top of a more modern stack that offers horizontal scalability and improved operability.  In addition, you will help design and implement data pipelines and infrastructure that power the AI/ML models and data warehouse. Check out our latest data streams product, Nylas Streams: https://www.youtube.com/watch?v=Qo3bW-yLY28

Responsibilities

    • Work closely with engineering and product teams to identify requirements and design architecture of data products.
    • Implement high performance data products.
    • Collaborate with product, engineering, finance, sales, marketing, and customer success teams across the organization to help develop, maintain, and operate our data system
    • Architect data models and build efficient and reliable ETL pipelines to bring the data into our core data warehouse/data lake
    • Create and maintain detailed documentation and functional design specifications
    • Enjoy working with smart people in a challenging and fast paced work environment

Qualifications

    • Bachelor's Degree in Computer Science/Engineer or related field
    • Strong experience writing and maintaining a production grade data architecture
    • 3 years experience in Spark
    • 3 years of technical experience working with large data sets
    • Experience with GCP products, such as Pub/Sub, Dataflow, Cloud Storage and Dataproc
    • Strong experience with K8s and microservices
    • Experience with both structured and semi-structured data, such as relational data,  JSON and Parquet
    • Knowledge of data modelling, data warehousing and ETL processes
    • Experience maintaining data in a secure environment, while working with security compliance, PII and security best practices.
    • Ability to work effectively across organizational boundaries
    • Excellent oral, written, analytical, problem solving, and presentation skills
    • Exceptional collaboration, negotiation, and interpersonal skills
    • Basic proficiency in a UNIX/Linux environment

Nice-to-have

    • Experience with Go programming
    • Experience working large data sets(1PB or above) and real-time decision systems
    • Experience with ML infrastructure such as Kubeflow and MLFlow
    • Experience working in an Agile development environment
#LI-Remote

Perks and Benefits:
 
Unlimited Paid Time Off (PTO): we take this very seriously as we care about the well-being of our employees
RRSP with 3% employer contribution
Education Stipend: $1,250 annual education & development benefit
Perk card: $180 per month towards health, wellness, and other perks via Assembly
Cell Phone: $60 per month stipend towards cell phone reimbursement

This job is no longer open
Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.