THE COMPANY

PAX Labs is an award-winning consumer technology brand with a mission to establish cannabis as a force for good. Our products set a high bar for quality and, together with the PAX App, offer unique features such as safety locking, adjustable temperature and draw control. As millions of consumers try cannabis for the first time or return to it after a long hiatus, PAX believes that quality, transparency and predictability are the keys to safe, responsible use by adults. 

Headquartered in San Francisco, PAX is backed by leading technology investors including Tiger Global and Tao Invest (Pritzker family fund). We are an exceptional team with hardware and software backgrounds in consumer technology, healthcare, and biotech, and are growing rapidly to deliver on our mission. Our internal culture values diversity, integrity, having an impact, and passion for the larger movement that PAX is a part of.

Check us out: LinkedIn | The Muse | Key Values

ROLE AND RESPONSIBILITIES

PAX Labs is looking for a Senior Data Engineer to help design, build and maintain an optimal data pipeline architecture. You will work closely with internal stakeholders on identifying data-related technical issues and supporting data infrastructure needs. We are looking for an integral member of the Software team that will help define the Data Engineering function at PAX Labs.

As the PAX Senior Software Engineer, you will:

• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal processes and process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
• Work with stakeholders including the Executive, Software, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Keep our data separated and secure across geographical boundaries through multiple data centers and AWS regions
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
• Work with data and analytics experts to strive for greater functionality in our data systems

WHAT WE LOOK FOR IN YOU

• 3-6 years of experience working as a Data Engineer (or equivalent)
• Comfort working in an agile and/or lean development environment
• Experience with modern data pipelines, data streaming, and real time analytics using systems such as Airflow, AWS Kinesis, Kafka, Spark Streaming, AWS Lambda, ElasticSearch, AWS Athena, Zeppelin, Jupyter, or similar technologies
• Strong programming abilities with Java, Scala, Python, R or other similar languages
• A strong ability to understand and organize data from various sources and advanced analytical skills related to working with unstructured datasets
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience building and optimizing ‘big data’ pipelines, architectures and data sets
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Experience building processes supporting data transformation, data structures, metadata, dependency and workload management
• A successful history of manipulating, processing and extracting value from large disconnected datasets
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
• Strong project management and organizational skills
• Experience supporting and working with cross-functional teams in a dynamic environment
• Write clear, concise and maintainable code
• Must be a strong, self-motivated individual that can work with minimal day to day supervision and able to objectively rank and prioritize development work
• Excellent English verbal and written communication skills

Experience with the following software / tools:

• Big data tools: Hadoop, Spark, Kafka, etc.
• Relational SQL and NoSQL databases, including MySQL (RDS) and Cassandra.
• Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• AWS cloud services: EC2, EMR, Kinesis, Lambda, RDS, Redshift
• Stream-processing systems: Storm, Spark-Streaming, etc.
• Object-oriented/object function scripting languages: Python, Java, Scala, C++, etc.
• Experience with bash scripting, and Terraform a plus.
• Knowledge of machine learning tools and concepts a plus.

EDUCATION

• Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field preferred or equivalent experience

PAX LABS PERKS & BENEFITS

• Competitive compensation, equity & bi-annual performance reviews
• Fully funded comprehensive medical, dental, and vision coverage
• 401K plan
• Generous PTO policy 
• Paid Parental Leave
• Monthly wellness reimbursement
• Cell Phone reimbursement
• Employee Purchase Program for discounted PAX devices
• Weekly catered lunch, endless snacks and beverages
• Dog Friendly HQ in the Mission District of San Francisco
• Employee Assistance Program including access to online legal support

Don't let the confidence gap get in the way of applying! We'd love to hear from you.