Yapta's mission is simple: To give our customers confidence in travel. To that end, we are one of the world’s leading companies for fare transparency and cost savings. We analyze billions of rates every month, and turn all that data into meaningful notifications and reports. We provide automated services for corporate travelers to save money, by tracking prices on airline tickets and hotels, and sending alerts when prices drop.

We were recently named to Deloitte’s Fast 500, are highly profitable, and have grown 400% in the past 4 years. Our team is fast paced and focused, but we maintain a healthy work/life balance and have fun. We value integrity, flexibility, accountability, drive, and collaboration.
Yapta's Data product team has an immediate need for an engineer that can ensure the quality of Data products, participate in the development of Yapta’s Data Quality Management (DQM) system, and be the first line of defense for data quality & accuracy related concerns. Quality is a core tenant of Yapta DNA and this position is a steward and champion of that tenant.
Responsibilities:

• Primary contact for Yapta Data Quality capabilities. 
• Quality Control of Data Products (Reporting and Analysis)
• Understand and translate the strategies and data quality frameworks to business. 
• First line of defense on data issues and “hands-on” in resolution 
• Develop data definitions and enterprise level data inventory
• Consult with Data Management & Operations on Data Quality requirements. 
• Design and test DQM models in data sandbox environment
• Excellent verbal and written communication skills to effectively communicate & collaborate with both business and technical teams required. 
• Understand high level information flow for all enterprise data. 
• Investigative analysis on data flow, aggregations, transformations and accuracy.

Requirements:

• Minimum of 3 years of professional data development experience in a hands-on data-centric role in data engineering, quality or architecture, is REQUIRED.
• Comfortable working with a mix of structured & unstructured data from a variety of sources is REQUIRED.
• Experience with at least business intelligence tool technology (tableau, PowerBI, Pyramid Analytics, Quicksight, Domo,. Etc.) is REQUIRED. 
• Experience with at least one relational database technology (MySQL, Postgres, MS SQL, etc.) is REQUIRED.
• Proficient with SQL and schema design is REQUIRED.

Preferred Experience: (Very helpful skills as they will be important in this role.)

• Familiarity with cloud services and infrastructure, preferably AWS
• Familiarity with columnar store databases (Vertica, Redshift, Snowflake, etc.)
• Experience with at least one modern server-side language (such as Python, Java, or similar) 
• Experience transforming partially or fully unstructured data into more easily queryable formats
• Experience working in an agile environment such as Scrum or Kanban
• Knowledge of machine learning tools & concepts a plus

What we offer:

• Fun, collaborative environment
• Optional work-from-home Wednesdays
• Competitive compensation and benefits package, including medical, dental, and vision insurance
• 5 weeks of PTO and 10 paid holidays (total 7 weeks)
• 401k
• Stock options
• Commuter benefits
• Stocked kitchens, with coffee, soda, and snacks
• Regular team activities, including Mariners games, ping pong tournaments, movies, etc.

This position is based in Pioneer Square in Downtown Seattle. Candidates must be eligible to work in the US.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.