Blueboard is an employee recognition and incentives platform powered by hand-curated experiences. Our platform makes it easy for companies to give meaningful rewards, incentives, and gifts—from one-of-a-kind to once-in-a-lifetime experiences. From a luxurious spa day to a trip around the world to see the Northern Lights to a family adventure behind-the-scenes at a local aquarium, we make it simple for companies to give their top performers memorable, meaningful, and personalized experiences. With Blueboard, employees enjoy incredible experiential rewards, and our clients increase employee engagement and elevate their team cultures.

Born and raised in San Francisco, Blueboard launched in 2014 and now serves hundreds of clients across the world. Our global team is over 200 Blueboarders strong, and we are thrilled to be a Great Place to Work, as well as one of Fortune’s Top 100 Workplaces. We are venture-backed by Greycroft, Origin Ventures, Bullpen Capital and others, with offices in San Francisco, San Diego, and Europe. Learn more at Blueboard.com.

We are building a team rich in diverse talents and experiences, and we welcome all applicants. If you’re not sure whether you’re qualified, but you’re passionate about Blueboard, we encourage you to apply!

Your Responsibilities Will Include:

• Create and maintain optimal data pipeline architecture for Enterprise Data warehouse
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Design and maintain flexible data mappings across connected applications, sourced from dynamic upstream applications including not limited to Engineering applications, CRM, etc
• Build and maintain the infrastructure required for optimal extraction, transformation, and loading of data from various data sources - including structured and semi-structured.
• Build analytics tools and data lakes that utilize the data pipelines to provide actionable insights into customer acquisition, operational efficiency, and other critical business performance metrics.
• Work with stakeholders including the Data owners, Business Process Owners, and Systems Analysts across departments to assist with data-related technical issues Develop algorithms to transform data into useful, actionable information
• Identify opportunities to cleanse data, improve data integrity and minimize data redundancies.
• Ensure compliance with data governance and security policies

Your Skills and Qualifications Include:

• Overall 8-10 years of relevant technical expertise 
• 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field. 
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases like Postgres
• Hands-on experience working on large scalable SaaS data warehouses like Google BigQuery, Snowflake, or equivalent. 
• 5-7 years of experience building and optimizing ‘big data’ data pipelines, architectures, and data sets using a primary iPaaS tool like SnapLogic, Workato, or equivalent.
• Familiarity with standard  data models in Salesforce and other financial transactional systems would be a plus
• Working experience with a code repository management tool like Bitbucket, Git, or equivalent.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions, and identify opportunities for improvement.
• Strong project management, documentation, and organizational skills, and capability to self-manage multiple tasks in a remote work environment
• Experience with at least one object-oriented/object function scripting language: Python, Java, R, Scala, etc
• You are passionate about all aspects of data governance and have a curious, exploratory attitude to discover information for answering business questions in a quantifiable way.
• You have working experience on collaborative tools like Jira, Confluence, Slack
• Familiar with semi-structured data types like XML, JSON
• Familiarity with Industry best practices for data storage, migration, security, failover risk management