Data Engineer, DSP (Demand Side Platform)

Pelmorex, the company behind The Weather Network, is seeking a Data Engineer to join their team in a remote capacity. This role is critical in leveraging behavioral data from various platforms to create advertising data solutions and actionable insights. The ideal candidate will work closely with data scientists and big data developers to innovate solutions for advertising clients and apply machine learning to optimize campaigns.

As a Data Engineer at Pelmorex, you'll be immersed in the world of Big Data, working with cutting-edge technologies like Big Query, Google Cloud Dataflow, Apache Spark, and Apache Airflow. You'll be responsible for building data processing pipelines, creating powerful visualizations, and contributing to the architecture and design of data delivery systems.

The role requires a strong background in computer science or software engineering, with a focus on data mining and machine learning. You should be proficient in SQL, MapReduce, and Python, with experience in data analysis and machine learning packages such as pandas, jupyter, and TensorFlow. Knowledge of the advertising domain and its technology stack is a significant plus.

Pelmorex offers an attractive work environment with numerous benefits, including a remote work setup, personal spending account, summer hours, and a generous paid time off policy. The company is committed to fostering an inclusive and diverse workplace through its IDEAS (Inclusion, Diversity, Equity, Awareness, Solidarity) team.

If you're passionate about keeping up with the rapidly evolving data world, are a creative and innovative thinker, and thrive under pressure, this role could be perfect for you. Pelmorex values diverse experiences and encourages applicants with non-traditional backgrounds to apply.

Join Pelmorex and be part of a team that's making the world smarter and safer through the power of weather data and innovative technology solutions. This is your chance to make a lasting impact in a dynamic and growing field. Apply now and take the next step in your data engineering career!