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We're currently seeking Contract Data Engineers to join our rapidly growing big data team – ones that have a passion for working with real world data to design, develop and deploy scalable, high volume batch and real-time data solutions (dashboards, data feeds, and ML/AI algorithms) for AdTech/Martech solutions.
The ideal candidate will have a background in a quantitative field and have experience with Data engineering techniques and technologies, large datasets, the AWS ecosystem, statistics/analysis, and client-facing activities. They will be enthusiastic, creative, results focused, and have enough confidence to define, build, and present models to C-suite executives in industries ranging from automotive to startup. You will have the opportunity to work across varying sets of data with a variety of clients.
● Design, develop and deploy scalable, high volume batch and real-time data solutions (dashboards, data feeds, and ML/AI algorithms) for AdTech/Martech solutions
● Help build and streamline our data workflows, adding value to our product offering and building out our customer lifecycle and retention models
● Be an advocate for best practices and continued learning
● Design and build ELT processes on the AWS stack
● Build data pipelines that clean, transform, and aggregate data from disparate sources
● Use agile software development processes to iteratively make improvements to data workflows
● Model data sources to help draw a more comprehensive picture of user flows throughout our system and enable powerful data analysis
● Demonstrated experience in computer science, information technology, engineering.
● Demonstrated experience in statistics, applied math, or related discipline
● 3 or more years of experience with Python, SQL, Spark and relevant Data engineering techniques and technologies
● Familiarity with the AWS ecosystem specifically RedShift and Athena
● Communication skills, especially explaining technical concepts to non-technical business leaders
● Comfort working in a dynamic, research-oriented team with concurrent projects
● Experience building or maintaining ETL processes
We believe in inclusivity and do our best work when people with diverse perspectives, backgrounds and skills
are brought together. Our Core Values are at the root of GALE’s collaborative environment and help to foster a strong community.
Our Code of Conduct, Human Resources policies and executive investment in inclusion further support and protect GALE’s inclusive workplace.
We want you to be just as discerning in making your next career move as we are finding great talent to join our team. Our interview process generally consists of the following stages to allow you to meet a range of people from various disciplines and domains. You will be assessed at each stage before being invited to move to the next.
Please discuss with our recruiters if you require any accommodations throughout the process to help enable a smooth interview (e.g. accessibility in terms of location, timing, method, etc.)
