
Databricks · Seattle
P-940 (Position Location is open to both our Seattle & Bellevue offices.) At Databricks, we are obsessed with enabling data teams to solve the world’s toughes...
(Position Location is open to both our Seattle & Bellevue offices.)
At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to
cancer drug development. We do this by building and running the world’s best data and AI infrastructure platform, so our customers
can focus on the high value challenges that are central to their own missions.
Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California
to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with
their mission-critical workloads, making us one of the fastest growing SaaS companies in the world.
Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the
boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to
making customers successful on our platform.
We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating
terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and
operating system faults, and our software must gracefully shield our customers from any of the above.
As a software engineer with a backend focus, you will work closely with your team and product management to prioritize, design,
implement, test, and operate micro-services for the Databricks platform and product. This implies, among others, writing software
in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting
with cloud APIs (AWS, Azure, CloudFormation, Terraform).
Data Science and Machine Learning Infrastructure: Build services and infrastructure at the intersection of machine learning and
distributed systems. Our technology empowers the flagship collaborative workspace, notebooks, IDE integrations, and project
management products. We also enable machine learning at scale with tools for environment management, distributed training, and
managing the Machine Learning lifecycle through MLflow.
Compute Fabric: Build the resource management infrastructure powering all the big data and machine learning workloads on the
Databricks platform in a robust, flexible, secure, and cloud-agnostic way. The software manages millions of virtual machines.
Data Plane Storage: Deliver reliable and high performance services and client libraries for storing and accessing humongous amount
of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
Enterprise Platform: Offer a simple and powerful experience for onboarding and managing all of their data teams across 10ks of
users on the Databricks platform. We do this by building reliable, scalable services and infrastructure with intuitive UIs and by
delivering high-impact, cross-cutting projects that drive the "land and expand" strategy for enterprise customers.
Observability: Provide a world class platform for Databricks engineers to comprehensively observe and introspect their
applications and services. We build scalable data-intensive infrastructure that processes huge amounts of logs and telemetry. By
doing so, we enable teams to become more data-driven and build robust services.
Service Platform: Build high-quality services and manage the services in all environments in a unified way. We provide engineers
libraries, tools, services and guidance to develop reliable, scalable, and secure services. We build a unified platform for
engineers to deploy and update their services across different clouds and environments.
Core Infra: Build the core infrastructure that powers Databricks, making it available across all geographic regions and Cloud
providers. We build highly available distributed systems, heavily utilizing cloud native projects, contributing back whenever
possible. We run thousands of Kubernetes clusters across all regions and orchestrate millions of VMs on a daily basis.
Competencies
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and
represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual
compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related
skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above,
Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include
eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your
location is in visit our page here.
Local Pay Range
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and
over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.
Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse,
Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific
details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to
ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment
at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or
expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation,
socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's
discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an
applicant on this basis alone.
WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. ABOUT THE TEAM We are experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products. We are experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in AI-driven Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team will work closely with product teams delivering trustworthy data / backend code / and innovative AI tools/platforms/services for data. WHAT YOU’LL DO We're looking for a person who could drive the Data Engineering Solutions team in solving high-impact, cutting-edge data problems. The ideal candidate will be someone that has built data pipelines for large scale volume, is deeply knowledgeable of key tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities. RESPONSIBILITIES * Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success * Partner with our recruiting team to attract and hire top talent * Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency * Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders * Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data * Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems * Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion * Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team WHO YOU ARE We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * This is a Staff-level role — that typically means 10+ years of experience building and operating data systems, pipelines, warehouses, infrastructure, and leading teams to deliver exceptional solutions * A strong engineering background and passion for data as well as prior experience with writing and debugging data pipelines using a distributed data framework * An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues * Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience * Extreme customer focus, with a commitment to partnering with product, leaders across the business, and other Stripe engineers to understand their use cases * Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs * Thrive with high autonomy and responsibility in an ambiguous environment * Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment PREFERRED QUALIFICATIONS * Our stack is made up of Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, AWS Cloud - experience with all or some of these tools is a huge plus * Influencing open-source contributions is a huge plus * Experience creating and maintaining data marts / warehouses to power business reporting needs * Experience collaborating with Product, Go-To-Market, or Sales / Marketing teams * Genuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisions * Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door. Powered by an outstanding end-to-end e-commerce and logistics network and a fanatical culture of customer centricity, Coupang has broken tradeoffs around speed, selection and price. Role Overview: Ads data platform team is a key team in the Ads foundation organization. Help us build the data engine behind Coupang Ads. Our team provides the foundational platform that manages and serves all data used in our ads-serving pipeline. We’re looking for backend experts passionate about big data and high-concurrency systems. You’ll be tasked with building a scalable, resilient, and low-latency infrastructure from the ground up, turning massive data streams into real-time business impact. What You Will Do: * Architect and scale high-throughput data processing pipelines and serving infrastructure critical to real-time ad delivery. * Engineer our next-generation data platform, focusing on self-service capabilities that empower cross-functional teams to deploy data into production with minimal friction. * Bridge the gap between business strategy and technical execution, translating complex ads logic into highly distributed, efficient, and resilient system architectures. What we are looking for * Bachelor's degree in computer science, Electrical Engineering, Math, or a closely related field * 8 years of experience in backend software development * Experience working in cloud environments, particularly AWS * Demonstrated experience in building and maintaining highly available, distributed systems * Proven track record of taking ownership and successfully delivering results * Experience building ads serving system. * Ability to clearly and concisely communicate with technical and non- technical stakeholders across all levels of the organization * Ability to work in multi-cultural, cross functional team * Experience building highly scalable and low latency systems in a fast paced, team-oriented environment * Experience leading a project of building large scale data serving platform * Proficiency in Java and the Spring Frameworks Preferred Qualifications * Ability and desire to drive solid design work on multi-threaded/multi-process, distributed system * A passion to explore, improve, automate and optimize distributed systems and tools * Proven ability to lead and collaborate in cross-functional, fast-paced environments * Ability to think outside-the-box and challenge conventional wisdoms * Experience with advertising systems/Search advertising/Advertising Marketplace/Display advertising/Ad Server * Experience working with AWS (Amazon web services) * Familiarity with Agile development practices, including code reviews, testing, and CI/CD pipelines * Experience managing mission-critical services with high throughput and low latency * Experience working in fast pacing environment * Experience with Spark/Hive/Redis//Kafka * Strong communication skills for interfacing with technical teams, business stakeholders, and end users Pay & Benefits Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for Senior Staff position ranges from $174/year to $299/year. The base pay for a Staff position ranges from $164K to $282K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. General Description of All Benefits * Medical/Dental/Vision/Life, AD&D insurance * Flexible Spending Accounts (FSA) & Health Savings Account (HSA) * Long-term/Short-term Disability * Employee Assistance Program (EAP) program * 401K Plan with Company Match * 18-21 days of the Paid Time Off (PTO) a year based on the tenure * 12 Paid Holidays * up to 6 weeks of Paid Parental leave * Pre-tax commuter benefits * MTV - [Free] Electric Car Charging Station General Description of Other Compensation “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale. Recruitment Process and Others Recruitment Process * Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer * The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. * Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider * This job posting may be closed prior to the stated end date for application if all openings are filled. * Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. * Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Privacy Notice * Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/ Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com. Job Requisition ID: R0073686 Equal Opportunities for All * Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. We’re looking for a Staff Software Engineer to help us build a high-performance, efficient, and easy to use batch processing platform and infrastructure at Pinterest. You’ll be working on some of the most exciting big data open source technologies such as Spark, Presto/Trino, Iceberg, etc. at the scale of hundreds of petabytes of data to bring everyone the inspiration to create a life they love. What you’ll do: * Design, implement, and optimize Pinterest’s batch processing infrastructure. * Collaborate with cross-functional teams to understand data needs. * Lead technical projects and initiatives, driving them to completion. * Mentor and guide junior engineers on best practices and architecture. * Ensure the reliability, scalability, and efficiency of data systems. What we’re looking for: * 6+ years of experience building and supporting large scalable big data infrastructure/platforms * Extensive experience with big data query technologies such as Spark SQL or Presto/Trino. * Proven skills in designing and maintaining scalable data infrastructure. * Proficiency in programming languages like Java, Scala, or Python. * Strong problem-solving abilities and a drive for innovation. * Excellent communication skills and the ability to collaborate across teams. * Bachelor's degree in a relevant field such as Computer Science or Engineering, or equivalent experience. In-Office Requirement Statement: * We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. * This role will need to be in the office for in-person collaboration 1-2 times/quarter, and therefore can be situated anywhere in the country. Relocation Statement: * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-AH2 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $177,185—$364,795 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.