Data Engineer

Remote: U.S. & Canada or Office Locations: Cambridge - MA, New York - NY, Palo Alto - CA Engineering

Have you ever wondered what happens inside the cloud?

Based in New York, DigitalOcean is a dynamic, high-growth technology company that serves a robust and passionate community of developers, teams, and businesses around the world. We believe that today’s entrepreneurs are changing the world through software. Our mission is to empower these entrepreneurs by bringing modern app development within reach for any developer, anywhere in the world.

We want people who are passionate about creating experiences that our customers will love.

As a Data Engineer, you will join a growing Data Engineering team within our Engineering Services organization  that collaborates with decision-makers across the organization to catalyze business growth by providing insightful and actionable analysis, insights and data products. The Data Engineering team is hands-on with a wide variety of datasets, including user data, product behavior data, financial/payment data, upper-funnel marketing data, trust and safety data, and operational/infrastructure data, and is responsible for leveraging that data into usable analytical products by stakeholders across the company.

What You'll Be Doing:

  • Develop and implement metrics and dimensions for powering analytical use cases across the company, incorporating a wide variety of data sources across the company at varying levels of complexity and scale
  • Focus on data quality of the data environment and data products being delivered to the business, and effectively communicate to internal user base regarding production status
  • Interface closely with data infrastructure, engineering and technical operations teams to ensure correctness and soundness of metrics built in the data environment and availability of data product services
  • Pioneer initiatives around data quality, integrity, security and governance
  • Work closely with data stakeholders across the company, both technical and non-technical, to understand evolving needs as more complex data models are introduced for reporting and data science

What We'll Expect from You:

  • Bachelor’s degree in Computer Science, Math, Statistics, Economics, or other quantitative field;  or equivalent experience. 
  • Experience in custom ETL design, implementation and maintenance
  • Track record of developing in complex data environments and intelligence platforms for business users
  • Demonstrable ability to relate high-level business requirements to technical ETL and data infrastructure needs, including underlying data models and scripts
  • History of proactively identifying forward-looking data engineering strategies, utilizing appropriate technologies, and implementing at scale
  • Extensive hands-on experience with schema design and dimensional data modeling
  • Experience interacting with key stakeholders in different fields, interpreting challenges and opportunities into actionable engineering strategies
  • Experience with analytics databases like Snowflake, Redshift, or BigQuery. 
  • Advanced SQL and relational database knowledge (MySQL, PostgreSQL) in addition to warehousing and dimension modeling
  • Experience scripting in Go or Python or a similar scripting language.
  • Effective communication and interpersonal skills
  • Experience implementing dimensional modeling in a configuration tool like dbt or LookML a plus
  • Experience designing and building dashboards in BI tools like Looker, Tableau, or PowerBI a plus.
  • Experience with job schedulers (Airflow, Luigi, Azkaban, etc.) a plus
  • Experience with ephemeral/streaming metrics services (Prometheus, DataDog, etc) and with SLO/SLI driven analytics a big plus.

Why You’ll Like Working for DigitalOcean:

  • We value development. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that is always challenging ourselves to continuously grow. We maintain a growth mindset in everything we do and invest deeply in employee development through formalized mentorship, LinkedIn Learning tracks, and other internal programs. We also provide all employees with reimbursement for relevant conferences, training, and education.
  • We care about your physical, financial and mental well-being. We offer competitive health, dental, and vision benefits for employees and their dependents, a monthly gym reimbursement to support your physical health, and a commute or internet allowance to make your trips to your office or your desk easier. We offer generous parental leave with transition time built-in upon return to work. We offer competitive compensation and a 401k plan with up to a 4% employer match. 
  • We support our remote employee experience. While we have great office spaces in NYC, Cambridge and Palo Alto, we’re very distributed—we use a number of communication tools to connect across the company—and all remote employees have the opportunity to visit our offices and meet their teams face-to-face at team offsites. We also have an annual company offsite, Shark Week, to get quality in-person time with the entire company at least once a year. We also allow employees to outfit their workstations to meet their needs—whether remote or in office.
  • We value diversity and inclusivity. We are an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

 

Department: Engineering #LI-Remote

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