Our client just acquired their biggest competitor and expanded internationally, they now have more data in their systems than ever before. This exciting growth has created a lot of interesting new challenges, the types of requests they are getting to their Data Engineering Team has become more complex, and their rapidly growing data volume will require them to look into alternative solutions in the near future.
As their data systems expand so must their Data Engineering Team. They are looking to grow the team that builds and operates the data infrastructure that:
1. Data scientists and analysts use when building machine learning algorithms,
2. Powers reporting, analytics and experimentation systems, and
3. Backs the production systems for the web site and mobile apps
The ideal candidate for this role will succeed if she/he can further the client's culture of data self-service by providing leadership, guidance, tooling, and education around their infrastructure, business, and data. The ideal candidate is detail-oriented, has excellent communication skills, and a knack for problem solving. They also live the client’s values and fit into their unique and fun culture.
Who they are:
They are headquartered in downtown Seattle. They are an agile, fast-growing startup, and leadership comes from some of the country's most respected tech companies. They’ve been named among Seattle's "Best Places to Work" in Seattle Met magazine, Seattle Business Magazine, and the Puget Sound Business Journal." They are also a recipient of Seattle Business Magazine's 2015 Tech Impact Awards.
o Understand their business domain as it relates to data needs and guide their infrastructure towards supporting those needs
o Understand the varying data needs of their organization
o Provide technical and organizational leadership to a growing team
o Educate data consumers in their organization as to what data sources are available
o Monitor, maintain, and improve the data pipeline
o Own the architecture and design of the overall system
o Work as an engineer implementing the system
o Excellent communication skills
o Experience developing systems from idea to implementation
o Experience with an agile software development process
o 7+ years experience working with production data systems / software engineering
o Strong python skills in both data and engineering contexts
o Strong SQL Skills
o Redshift experience
o Python workflow tooling - Luigi/Airflow/etc.
o Cloud infrastructure management
o Hadoop or similar map-reduce technology