Data Engineer - Spark Seattle, WA (Preferred Independent Candidates & Multiple Roles)

Data Engineer - Spark Seattle, WA (Preferred Independent Candidates & Multiple Roles)

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Comms is very important.
Only the most communicative.
Humble, Hungry and Smart culture
Description
Overview We are looking for a Spark Data Engineer to join our Advanced Analytics team to work on interesting projects to help our clients make data driven solutions. As a big data engineer, you'll work closely with the client and data scientists to understand their business needs, design, and develop a scalable data processing infrastructure. You will work closely with your team including analysts, TPMs, and data scientists to define tasks, provide estimates, and work together to deliver a world class solution. The ideal candidate will have the balance of technical skills and business acumen to help the client better understand their core needs while understanding technical limitations. The solutions you build will have a major real-world impact in enabling machine learning and data-driven decisions to improve safety, customer experience, and efficiency.
About you

• Experience partnering & communicating with executive management team to understand business needs and pain points
• Ability to communicate engineering concepts to business stakeholders
• Passion for building large scale machine learning pipelines
• Adept at developing and iterating solutions rapidly

What we offer our consultants:

• Experience working with both large enterprise clients and mid-sized clients
• Progressive responsibilities that encourage ownership and design
• Opportunity to learn and gain experience in complimentary skills such as meeting facilitation, data management, project management, data modeling, and data management
• Company Culture that celebrates "Foster the culture of we", "Act with integrity" and "Drive towards excellence" while having fun at work
• Training and certification opportunities to support your career now and after
• Various opportunities to give back to the community through company sponsored events

Required Qualifications

• Strong understanding of high-performance ETL development with Python
• 5+ years of data engineering, 3+ years of Spark in Python
• Data engineering implementation experience with some of the following technologies:
  • Python
  • Spark and PySpark
  • SparkSQL
• Advanced engineering skills with Python
• Comfortable working with very large data
• Demonstrated ability to identify business and technical impacts of user requirements and incorporate them into the project schedule
• Strong communication and interpersonal skills
• Ability to work both independently and as part of a team
• Work across team to solve technical roadblocks for our customers.
• An undergraduate degree in technology or business is required

Preferred Qualifications

• Experience building data and computational systems that support machine learning
• Knowledge of AWS services
• Experience with modern software delivery practices, including source control, testing, continuous delivery
• Experience delivering product with Agile methodologies
• Experience with streaming data in Spark