Senior Software Engineer on Data Platform developing and maintaining infrastructure for data ingestion and processing. Collaborating on projects that drive AI and analytics initiatives at Samsara.
About the role
- Data Engineer enhancing data analytics and reporting capabilities for Silk & Snow. Bridging raw data with actionable insights while contributing to data infrastructure efficiency.
Responsibilities
- Design and implement dimensional and relational data models (star/snowflake schemas) that support scalable, performant analytics across business domains.
- Develop, document, and maintain transformation logic that converts raw source data into clean, conformed, and business-ready datasets.
- Write and optimize complex SQL queries and dbt models for data manipulation, aggregation, and layered transformation within the data warehouse.
- Define and enforce data standards, naming conventions, and modeling best practices to ensure consistency across the warehouse.
- Collaborate with stakeholders to translate business logic into well-structured data models that are intuitive and reusable.
- Evaluate and refine existing models over time as business needs evolve, ensuring models remain accurate, efficient, and well-documented.
- Design, develop, and maintain Python scripts for extracting and loading data from various source systems into our data warehouse.
- Ensure data quality, accuracy, and consistency throughout the pipeline, from ingestion through to reporting-ready layers.
- Identify and resolve data pipeline issues, ensuring timely and reliable data availability.
- Contribute to the documentation of ETL processes, pipeline architecture, and data definitions.
- Develop, maintain, and optimize interactive dashboards and reports using Power BI to visualize KPIs and business trends, built on top of well-modeled data layers.
- Perform ad-hoc data analysis using SQL and collaborate with stakeholders across Marketing, Sales, Product, and Operations to translate business questions into clear, actionable insights.
Requirements
- Bachelor's degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
- 2–4 years of experience in a data-focused role, with a strong emphasis on data engineering and/or analytics.
- Demonstrated experience designing dimensional models (star/snowflake schemas) and translating business requirements into logical and physical data models.
- Advanced SQL proficiency within a modeling and transformation context (e.g., layered CTEs, reusable views, incremental logic).
- Hands-on experience building pipelines that clean, standardize, and reshape raw data into analytics-ready datasets using SQL and/or Python.
- Practical experience with dbt for modular, tested, and version-controlled transformation logic.
- Experience developing and publishing interactive dashboards in Power BI or comparable tools such as Tableau or Looker.
- Familiarity with workflow orchestration tools such as Apache Airflow.
- Experience with cloud-based data platforms, particularly Google BigQuery or Azure Synapse Analytics.
- Proficiency with Power BI report development and DAX formula creation.
- Industry experience in e-Commerce, particularly with Shopify.
- Solid experience with Python for data manipulation, scripting, and building ETL/ELT processes (e.g., Pandas, SQLAlchemy).
- Strong analytical, problem-solving, and critical thinking abilities with keen attention to detail.
- Excellent verbal and written communication skills, with the ability to explain complex data concepts to non-technical stakeholders.
Benefits
- We prioritize diversity and inclusivity in our company culture
- Growth opportunities with an emphasis on hiring from within
- You will be exposed to a streamlined training process and receive guidance and support that will set you up for success during and after training
- You can access our learning platform with lots of free courses taught by experts to support your personal and professional development
- We offer a competitive benefits package, which includes but is not limited to medical, dental, and vision.
- Employee discount on all products and a free mattress and bedding set offered upon completion of the probationary period
- Make a meaningful impact on our customers' sleep habits, contributing to their overall well-being
- We foster a healthy work-life balance with our company's supportive environment
- This is not just a job but a CAREER with potential opportunities for growth and advancement
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