Samara is seeking a talented and driven Data Engineer to join our growing team in Redwood City. This is an exciting opportunity to work with cutting-edge data technologies, build scalable data infrastructure, and support data-driven decision-making across the organization. If you are passionate about designing robust data pipelines, optimizing data systems, and collaborating with cross-functional teams, we encourage you to apply and become part of our innovative environment.
Job Overview
| Field | Details |
|---|---|
| Company Name | Samara |
| Role | Data Engineer |
| Qualification | Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field |
| Job Location | Redwood City, California, USA |
| Salary | $120,000 – $140,000 per year |
| Work Type | Hybrid |
| Job Type | Full-Time |
| Job Level | Entry Level |
| Industry | Technology / Data & Analytics |
Job Description
We are growing quickly and are looking to hire a Data Engineer to help scale our data and analytics capabilities. As the company grows, we need dedicated ownership of our data platform to ensure it continues to support high quality, timely decision making across the business.
This role will take end to end ownership of our data catalog, including understanding source systems, building and maintaining trusted core datasets, and translating operational and business data into decision ready datasets. You will work closely with Finance, Operations, and leadership to ensure data remains accessible, explainable, and useful as the organization and its needs continue to evolve.
What You Will Do
- Build and Own Core Datasets. Design and maintain datasets that serve as sources of truth for key business reporting and decision making. Ensure datasets are accurate, consistent, and understandable by a broad set of stakeholders.
- Explore and Understand Source Systems. Develop a working understanding of source systems such as NetSuite, Salesforce, Autodesk Construction Cloud, Bill.com, and other operational platforms. Understand how data is generated and how it maps to business processes.
- Design Scalable Data Pipelines. Build, maintain, and monitor production data pipelines that meet current analytical needs and scale as data volume and complexity increase.
- Enable Access to High Quality Data. Help democratize access to reliable operational and financial data across Finance, Operations, and go-to-market teams. Ensure data products are well documented and suitable for self-service analytics.
- Continuously Expand Analytical Coverage. Identify opportunities for new tables, metrics, and derived datasets that unlock additional insight. Evaluate work based on clarity and usefulness to decision-makers.
- Establish Data Standards and Best Practices. Evolve standards for data modeling, testing, documentation, and ownership.
What We Are Looking For
- 1-3 years experience as a data engineer, building core datasets and supporting business verticals as needed.
- You have hands-on experience shipping scalable data solutions in the cloud (e.g AWS, Databricks, DBT), across multiple data methodologies (e.g dimensional modeling, data marts, medallion schemas)
- Strong SQL and Data Modeling Skills. Advanced SQL proficiency with experience designing analytical data models that support reporting and analytics use cases.
- Comfort exploring source systems and tracing data through multiple layers of transformation.
- Ability and willingness to learn new systems, tools, and business domains. Comfortable working in environments where requirements and priorities evolve.
Nice to Haves
- Experience integrating financial, ERP, CRM, or payment systems such as NetSuite, Salesforce, Bill.com or similar tools.
- Comfort in aggregating data from multiple sources, with proficiency in handling APIs, geospatial imagery/aerial photography, unstructured web data, and public governmental records.
- Experience supporting feature engineering, forecasting, or AI-adjacent analytics.
- You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results
Selection Process
- Application Review
- Technical Assessment
- Data Engineering Interview
- Hiring Manager Interview
- Final Interview
- Offer & Background Verification
How to Apply
- Visit the company’s careers page
- Search for the “Data Engineer” position in Redwood City
- Complete the online application form
- Upload your updated resume and relevant documents
- Submit your application
- Wait for confirmation and further communication from the recruitment team
