An employer is looking for a Data Tech Lead for a remote, ongoing contract opportunity. The client is an enterprise grocery store chain and the Data Tech Lead will be supporting the End to End Fresh Cold Chain Data Team. End to End Fresh is responsible for perishable products like produce, meat, seafood and dairy. This team specifically will be responsible for data related to refrigerated supply chain (Cold Chain). Cold Chain data includes data from temperature sensors, purchase orders, warehousing and transportation routing and location. The overall goal is to use this data to increase the freshness of food at the stores.

The journey of data enabling End to End Fresh will usually follow a path of Analytics to discover improvement opportunities; reporting to allow operations to target improvement and event (real-time) data to participate in operations. A hypothetical example would be:
- Analytics reveals that strawberries are frequently subjected to high temperatures in transit from distribution center to stores. Management knows they have a problem and assigns operations to investigate.
- Reports are given to operations managers to help them investigate and try an operational change like a temp check when the truck leaves the yard. Reports allow them to monitor and evaluate the effectiveness of the change on strawberry freshness.
- The changes might mitigate some instances but not all. So transportation and/or stores are given real time data. This will allow them to be alerted that a truck is en route to the store with a high temperature. They turn the truck around before it even hits the stores loading dock and a replacement order is processed. This saves employee time and speeds up the replenishment process, resulting in fresher strawberries in the store.

This team will have a dedicated Product Manager and will be directly supported by a Scrum Master, Solution Architect and Data Architect.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .

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Required Skills & Experience

Prior and proven Lead experience
Extensive knowledge of data principles, patterns, processes, and practices
Databricks
SQL
Python
Google Cloud Platform (GCP) understanding (especially Dataflow, Pub/Sub, Composer)

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.