Dremio is the SQL Lakehouse company, enabling companies to leverage open data architectures. Dremio’s SQL Lakehouse Platform simplifies data engineering and eliminates the need to copy and move data to proprietary data warehouses or create cubes, aggregation tables and BI extracts, providing flexibility and control for data architects and data engineers, and self-service for data consumers. Founded in 2015, Dremio is headquartered in Santa Clara, CA. Investors include Cisco Investments, Insight Partners, Lightspeed Venture Partners, Norwest Venture Partners, Redpoint Ventures, and Sapphire Ventures. For more information, visit www.dremio.com. Connect with Dremio on GitHub, LinkedIn, Twitter, and Facebook.
If you, like us, say “bring it on” to exciting challenges that really do change the world, we have endless opportunities where you can make your mark.
Dremio’s development leaders ensure that Dremio Cloud & our Data Lake value-add for the industry is enhanced with scalable, resilient solutions with uptime & performance that matches SLAs. Dremio is growing quickly and building cloud infrastructure, SaaS & services that enable developer velocity will have an immediate and visible impact on Dremio’s success. You will be enabling data-driven decision making and customer engagement by creating a self-service semantic layer for the product and sales teams to leverage.
What you'll be doing- Creating and maintaining a data lake of customer and product usage metrics, which will be used to derive insights to drive product and growth strategies.
- Design and implement workflows for ingestion and transformation for various data sources (S3, GCS, Google Analytics).
- Optimize the retrieval of structured and unstructured data to make it actionable in real time.
- Help develop a strategy for a long term data architecture, which will allow Dremio to make effective data-driven decisions to optimize the customer’s experience.
- Develop and maintain scalable and reliable data pipelines to support gradual increases in data volume and complexity.
- Collaborate with the Product Management and Engineering teams to incorporate new use cases and sources of data
- 5+ years of experience as a data engineer in a SaaS environment
- Strong logical and analytical skills
- Deep understanding of data lakes and relational databases
- Knowledge of data formats such as JSON and Parquet
- Experience with Apache Spark, Python libraries such as Pandas for data manipulation
- Experience with AWS and GCP
- Experience with ETL/ELT tools
- Experience working with data projects and ensuring the highest levels of data integrity and quality.
- You can scope, schedule, and resource complex projects in collaboration with other partners such as Product and Engineering.
- Experience working with CI/CD pipelines, DevOps and delivering quality in a fast paced environment.
- Familiarity with BI and data science tools such as Tableau, Superset, Jupyter.
- Excellent communication skills with both technical and non-technical audiences.
- Experience with Apache Iceberg
- Medical, dental and vision insurance
- 401(k) Plan
- Short term / long term disability and life insurance
- Pre-IPO stock options
- Flexible PTO
- 16 hours of volunteer time off
- 12 company paid holidays, including Juneteenth
- Remote work options
- Monthly “Get Stuff Done” (GSD) Days
- Paid parental leave
- Employee Assistance Program (EAP)
- Company-sponsored wellness programs including Aaptiv, Headspace, Physera and Ginger
- Quarterly swag surprise
**Certain benefits are only allowed to full-time Dremio employees and may not be the same across all locations.
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At Dremio, we hold ourselves to high standards when it comes to People, Thinking, and Action. Our Gnarlies (that's what we call our employees) communicate with clarity, drive accountability, and are respectful towards each other. We confront brutal facts and focus on results while operating with a sense of urgency and building a flywheel. People who like to jump in and drive momentum will thrive in our #GnarlyLife.
Dremio is an equal opportunity employer supporting workforce diversity. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, protected veteran status, disability status, or any other unlawful factor.
Dremio is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request accommodation due to a disability, please inform your recruiter.
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