Do you find data architecture exciting? Does building a new data pipeline or optimizing a data warehouse make you happy? Can you migrate a data store to the cloud, run a few NLP algorithms to clean things up, and build a set of processes to keep the data current? Are you comfortable with Terabyte-scale data, optimizing cloud stores, building workflow management systems, AWS, and Python scripting? Can you work closely with business stakeholders to understand their needs and sate those through data solutions? If so, we want you! 

Fivestars is seeking a Senior Data Engineer. Reporting to the Director of Analytics and Data Science, you will work with the Product, Marketing, and Engineering teams at Fivestars to build and maintain world-class data infrastructure.

At Fivestars, our mission is to help businesses and communities thrive by turning every transaction into a relationship. Over 50 million people use Fivestars to get rewarded at more than 14,000 local businesses with one rewards program. Local businesses use Fivestars to bring more customers into their stores with an all-in-one marketing and payments program. Fivestars drives over $3 billion in local commerce across its network per year.

Fivestars was launched out of Y-Combinator in 2011 (most recently on Y-Combinator’s Top 75 Companies List for 2019) and has raised over $105 million from notable investors including Lightspeed, DCM, HarbourVest, Menlo Ventures, Y-Combinator, and others. Together, let’s love local!

Responsibilities

• Build and maintain data infrastructure (Redshift/Presto/Kinesis/Glue/EC2/S3/etc.)
• Create data pipelines to/from external partners using Python and other tools
• Use NLP to clean and consolidate data
• Establish and use workflow-management tools to orchestrate solutions
• Monitor and improve pipeline and data-warehouse performance

Skills

• SQL – write sophisticated and optimized queries against large databases
• Python – create efficient and scalable pipelines and solutions
• Business Acumen – understand the questions we are trying to answer through data
• Problem Solving – apply structured methods to analyze problems and develop solutions
• Communication – explain technical concepts clearly and concisely
• Relationships – influence adoption of infrastructure through partnership

Qualifications/Experience

• Undergraduate degree in a highly technical field (e.g. Computer Science, Electrical Engineering, etc.) from a top-tier university
• Graduate degree (MS, PhD, etc.) in a similar field will be highly valued but is not required
• 3+ years of experience and steadily increasing responsibility in a data-engineering function using cloud-based infrastructure
• Ability to solve technical problems and create efficient, robust, and scalable solutions
• Demonstrated intellectual curiosity

Perks

• Pre-IPO stock options
• Excellent medical, dental, and vision coverage
• Great downtown-SF office location
• 4 weeks PTO + 11 paid-holidays per year
• Three in-office lunches per week and a fully-stocked kitchen with fruit, (healthy) snacks, coffee, and drinks
• Team happy hours and company-sponsored events
• Wellness Benefit - $500 per year to spend on eligible physical or mental well being
• FSA; short-/long-term disability coverage; life Insurance; 401K; EAP; and commuter benefits

Fivestars provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Fivestars complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.