Senior Data Engineer in Analytics, Simbe
$120-135k
Autonomous shelf auditing and analytics solution
Be an early applicant
Autonomous shelf auditing and analytics solution
21-100 employees
Be an early applicant
$120-135k
21-100 employees
Company mission
To leverage AI and robotics in order to elevate the performance of retailers with real-time insights into inventory and operations.
Role
Who you are
- Technical Qualifications: A bachelor’s or master’s degree in Computer Science (or a related field) is highly recommended but not required
- The role requires at least three years of experience with SQL, BigQuery, and GCP
- Hands-on expertise with dbt is highly preferred, as is experience interfacing with Postgres
- Familiarity with ingesting data via APIs from external software platforms and transforming non-tabular data using Python is a plus
- Experience with data streaming is also nice to have
- Experience & Abilities: Experience implementing and taking full ownership for data warehouses is essential, alongside a proven track record of data modeling for analytical use cases
- The ideal candidate will have a background in empowering peers through DataOps best practices, with a strong emphasis on data security and governance
- Additionally, a deep understanding of the strengths and weaknesses of both transactional and analytical databases is critical for success in this role
- Soft Skills: Candidates should have excellent communication skills to effectively convey complex technical concepts across cross-functional teams
- An ideal candidate is autonomous and independent, exhibiting a strong sense of ownership and accountability
- Additionally, they must be able to evangelize and champion best practices across the organization, ensuring alignment and consistent adoption of best practices
What the job involves
- The Senior Data Engineer in Analytics will own the design, implementation, and scaling of our analytics infrastructure to form the foundation of a cohesive analytics ecosystem
- This role also empowers data analysts and data scientists to follow DataOps best practices to independently create metrics
- Additionally, the Data Engineer will interface with the application database team to synergistically improve the overall cloud ecosystem
- The ideal candidate will have demonstrable experience implementing data warehouses, a strong foundation in SQL and Python, and a mindset for cloud systems design
- Data Warehousing: Ingest data from Postgres, Google Cloud Storage, Salesforce, Jira, web analytics platforms, and other sources into BigQuery. Use Data Build Tool (dbt) to transform raw data into user friendly “data-marts” for use in BI tools. Implement reverse-etl to make aggregate data available in the application database for web application and mobile application use
- Data Quality & Governance: Use dbt to establish a robust data testing framework that ensures data remains accurate and trustworthy, while also producing a comprehensive suite of metric definitions and documentation accessible to anyone in the organization. Champion DataOps best practices across teams to cultivate a consistent, high-quality approach to data management and analytics
- Evaluate New Tools and Integrations: Help evaluate and choose the best cloud tools to meet ever-evolving business needs
- Optimizing and Monitoring Cloud Costs: Monitor and implement controls to ensure data warehousing costs arepredictable and within reasonable levels. Unlock synergies between the application database and data warehouse to reduce overall cloud costs
- Security & Compliance: Help ensure account permissions remain appropriate and enforced across the data consumption layer. Implement controls to ensure the data warehouse maintains compliance with GDPR, PII laws, SOC 2, and other regulations
Our take
Inventory management has never been the highlight of working in retail - it's a task that often feels like a chore. However, given its nature as a large-scale data collection and management endeavour, it's undeniably ripe for automation. Something Simbe Robotics is taking advantage of through its autonomous shelf auditing and analytics solution.
Distinguishing itself from competitors through its focus on front-of-store operations. Its automation solution enables retail associates to maintain optimal stocking levels, ensure product placement accuracy, and display correct price tags, all while enhancing the overall shopping experience.
Its accomplishments over the past year, including servicing top global retailers and processing billions of shelf photos and product analyses, showcase the company's commitment to delivering real value in the retail sector. Along with recent funding under its belt, Simbe is poised to expand its presence in the retail industry, sharing its vision to enhance the retail experience through AI and robotics with more partners worldwide.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 3 rounds)
Oct 2024
$50m
SERIES C
Jul 2023
$28m
SERIES B
Total funding: $104m
Company benefits
- Comprehensive health plans
- Culture of learning
- Flexible time off
Company HQ
Oyster Point, South San Francisco, CA
Articles
Leadership
Brad Bogolea
(CEO)Previously Co-Founded i-conserve where they served as CEO. They then worked at Greenbox Technology and Silver Spring Networks as Product Manager before co-founding Simbe Robotics in 2013.
Mirza A. Shah
(CTO)Graduated from Penn State University with an M.S. in Computer Science and Engineering. They then went on to found the robotics company Emoto Robotics.
Jeff Gee
(CDO)Graduated from the Academy of Art University with an MFA in Industrial Design. Previously an Industrial Designer at Suitable Technologies and Willow Garage.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 11 more jobs at Simbe