Job Location: Texas, United States
At Shipt, we are transforming the shopping experience and giving time back to consumers. Shipt Shoppers handpick everything from fresh groceries to household essentials, then deliver them to your door in as little as one hour.
Shipt is a membership-based marketplace that helps people get the things they need.
We are currently looking for a Data Engineer to join the Tools & Self Serve Analytics team. This team at Shipt is core to accelerate data-driven decision making at Shipt by robust reporting based on curated, trustworthy and validated data. We have rich, complex datasets collected in a multi-sided marketplace and our team performs a wide variety of tasks of those datasets, ranging from conducting ad-hoc research, creating dashboards, crafting complex database queries and ETL pipelines. The ideal candidate will be data-driven, intellectually curious, and a clear communicator.
What You’ll Gain
You’ll join a team of talented individuals who will provide you with hands-on mentorship on topics ranging from design to operational monitoring. Furthermore, you will have the freedom to solve interesting problems with the appropriate technology.
Your Responsibilities
As a member of Tools & Self Serve Analytics team, you will be developing, maintaining and supporting:
- Design and build certified data sources to enable self-serve analytics through BI reporting tool (i.e. Tableau)
- Work closely with Analytics Governance team to ensure the best Data Governance practices are in place for whatever we do
- Work closely with BI Engineering team to get curated, trustworthy and validated data to support self-serve analytics capabilities
- Design dashboards and data visualizations to communicate meaningful metrics to different audiences within the business
- Find opportunities for improvement across the business and assist in decision-making across teams
Requirements
- 2+ years in BI Engineering and/or Data Engineering
- Strong eye for detail.
- Strong SQL skills (Snowflake, Postgres, Redshift, DataBricks, etc).
- Experience with a statistical scripting language (e.g., R or Python.)
- Experience with a data visualization tool (Tableau, Chartio, Looker, Spotfire, Power BI, etc.)
- Experience with Airflow or similar orchestration framework
- Code-base ownership (PR review/approval, code standards,etc)
- Ability to work collaboratively in a dynamic, team-based environment and communicate results to diverse stakeholders.
- Experience with data analysis and turning data into insights and recommendations is a plus
- A Bachelor’s Degree in CS, Information Systems, a related field or equivalent work experience
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or any other characteristic protected by law.
Please inform your recruiting contact upon initial connection if you need any accommodations.
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