Senior Data Engineer - Analytics
JUUL Labs New York, NY, US Competitive Long term Senior
About JUUL Labs

JUUL's mission is to improve the lives of the world’s one billion adult smokers by driving innovation to eliminate cigarettes. JUUL is the number one US-based vapor product. Headquartered in San Francisco and backed by leading technology investors including Tiger Global, Fidelity Investments and Tao Invest LLC, JUUL Labs is disrupting one of the world’s largest and oldest industries.

We’re an exceptional team with backgrounds in technology, healthcare, CPG and biotech, and we’re growing rapidly to deliver on our mission. We’re actively looking to hire the world’s best scientists, engineers, designers, product managers, supply chain experts, customer service and business professionals.

Job Description

ROLE AND RESPONSIBILITIES:

  • Build scalable data pipelines for JUUL’s central data platform. Partner with business to validate data models and analytics capabilities.
  • Evaluate new technologies for continuous improvements in software development
  • Help guide Data Scientists, Data Engineers, and Business Stakeholders on best engineering practices
  • Develop tools and processes to increase efficiency and mitigate risks in our data infrastructure
  • Implement controls, and policies in the Data Engineering space.

JUUL LABS PERKS & BENEFITS:

  • A place to grow your career. We’ll help you set big goals - and exceed them
  • People. Work with talented, committed and supportive teammates
  • Equity and performance bonuses. Every employee is a stakeholder in our success
  • Boundless snacks and drinks
  • Cell phone subsidy, commuter benefits and discounts on JUUL products
  • Excellent medical, dental and vision benefits
  • Location. Work in the heart of San Francisco, one of the world’s greatest cities

JUUL Labs is proud to be an equal opportunity employer and is committed to creating a diverse and inclusive work environment for all employees and job applicants, without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. We will consider for employment qualified applicants with arrest and conviction records, pursuant to the San Francisco Fair Chance Ordinance. JUUL Labs also complies with the employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must have authorization to work for JUUL Labs in the US.

Requirements

PERSONAL AND PROFESSIONAL QUALIFICATIONS:

  • 4+ years of software engineering experience with focus on data analytics
  • Proficiency in Python, Bash, SQL and one other programming language (e.g. Java, C++, Scala)
  • Experience reviewing, committing, debugging, and refactoring production code
  • Experience with production grade relational (e.g. MySQL), non-relational (e.g. MongoDB), and big data (e.g. Cassandra) databases in both cloud (e.g. AWS, Google) and on-premise deployments
  • Working knowledge of containers (e.g. Docker), orchestration (e.g. Kubernetes), scheduling (e.g. luigi, Airflow) tools, is preferred
  • Exposure to Machine Learning frameworks (e.g. Tensorflow) is preferred
  • Desire to develop new tools and frameworks
  • Passionate about data and software engineering
  • Able to work collaboratively in an agile environment

EDUCATION:

  • Undergraduate or graduate degree in Computer Science, Engineering, Math, or equivalent experience

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