About this role
Job title: Sr Data Engineer
About the Role The Signal Intelligence team works with high-volume, multi-source data ecosystem and builds trusted, decision-ready data products. We work across operational systems, client app event streams, ad tech platforms, stitcher events, ad server logs, and telemetry — stitching them together into the data marts and dashboards that power business, product, and ad ops decisions. We are currently looking for a Senior Data Engineer to develop processes, methodologies and systems to consolidate and analyze unstructured diverse data sources that generate breakthroughs, actionable insights and solutions that inform decisions and business direction. This person will own the full lifecycle of our data — from raw event ingestion through harmonization, architecting, designing, modeling, visualization, and incident response. In addition, the successful candidate will lead development of software algorithms to structure, analyze and leverage data in the development of product and applications. Candidates should possess extensive experience in Data Engineering, Data Analysis, and Predictive Analytics, and be able to independently develop.
What You'll Do
- Develop processes, methodologies and systems to consolidate and analyze unstructured diverse data sources to generate breakthroughs, actionable insights, and solutions that inform decisions and business direction.
- Own the full lifecycle of our data—from raw event ingestion through harmonization, architecting, designing, modeling, visualization, and incident response.
- Lead development of software algorithms to structure, analyze and leverage data in the development of product and applications.
- Work across a high-volume, multi-source data ecosystem and contribute to data marts and dashboards powering business, product, and ad ops decisions.
- Collaborate with stakeholders across teams to translate data into actionable business outcomes.
What We're Looking For
- Extensive experience in Data Engineering, Data Analysis, and Predictive Analytics.
- Ability to independently develop data solutions end-to-end.
- Experience with ingestion of raw events, unstructured data, data modeling, and data visualization.
- Familiarity with multi-source environments including operational systems, client app event streams, ad tech platforms, and telemetry.
- Strong problem-solving, communication, and collaboration skills.