Data Engineer

iSpot.tv is a fast growing venture backed start-up with rapidly ramping revenues. We have a product that is changing how brands, agencies, and networks measure and assess the impact of TV advertising campaigns. Our software uses proprietary audio and video analysis to monitor and extract TV commercials, movie trailers and other promotional content from TV. At the same time, our software analyzes consumer interactions with TV ads on the digital screen across search, video and social. Interactions are matched with specific ads and attributed back to airings on TV.

We are looking for an experienced Data Engineer to join our growing team of analytics experts. This position will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

We are looking for someone that is highly motivated and knows how to get things done quickly and efficiently.
This position is remote (we prefer PST zone) or work out of our Bellevue, WA office.

Responsibilities:

●Contribute to building and maintaining data pipelines as well as the implementation of the data lake and data warehouse

●Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

●Build the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.

●Collaborate with data science and engineering team members to create data tools that assist them in building and optimizing our product into an innovative industry leader.

●Work with data and analytics experts to strive for greater functionality in our data systems.

●Follow software engineering best practices with readable code that is in source control, testable, deployable, and appropriately documented

Qualifications:

●2 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

●Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.

●Experience with Python and databases. (Redshift, Snowflake, and Spark are nice to have)

●Experience in problem-solving and finding issues

●Excellent communication skills

●A natural collaborator with a proven ability to work across teams to get things done.