Databricks
San Francisco
1,001-5,000 employees
Databricks is the data and AI company, helping data teams solve the world’s toughest problems.
Other Open Roles
- Big Data engineer
- Sr. Data Engineer
- Resident Solutions Architect - Data Engineering (Public Sector)
- Data Architect
- Specialist Solutions Architect - Data Engineering
Prior Listings
- Engagement Manager : Big Data & AI
- Architect : Big Data
- Developer Advocate, Data Science
- Backline Technical Solutions Engineer - Spark
- Marketing Analytics Manager
- Developer Advocate for Data Science, Machine Learning and Spark
- Developer Advocate for Data Engineering and Delta Lake
- Developer Experience Advocate
- Head of Databricks Community
- Sr. Analyst, Sales Operations Data Engineer
- Director of Finance - Usage Analytics
- Big Data Architect
- Data Scientist / Machine Learning Engineer
- Big Data Architect
- Learning Architect - Machine Learning/Data Engineering
- Solutions Architect (Big Data)
- Data Analyst
- Senior Big Data Engineer
- Big Data Architect
- Sr. Analyst, Sales Strategy
Technical Services Engineer (Data Engineer/Data Scientist)
Technical Services Engineer (Data Engineer/Data Scientist)
This job is no longer open
CSQ325R3
Mission:
At Databricks, we are on a mission to empower our customers to solve the world’s toughest data problems by utilizing the Data Intelligence platform. As a Technical Services Engineer you will play a critical role in advising Customers in their onboarding journey. You will directly work with customers to help them onboard and deploy Databricks in their Production environment.The impact you will have
- You will ensure new customers have an excellent experience by providing them with technical assistance early in their journey.
- You will become an expert on the Databricks Platform and guide customers in making the best technical decisions to achieve their goals.
- You will work on multiple tactical customers to track and report their progress.
What we look for:
- Experience in Big Data / Data Engineering
- Minimum 3 years experience in a technical role, preferably in the data or cloud field.
- Knowledge of at least one of the public cloud platforms AWS, Azure, or GCP is required.
- Knowledge of a programming language - Python, Scala, or SQL
- Knowledge of end-to-end data analytics workflow
- Hands-on professional or academic experience in one or more of the following:
- Data Engineering technologies (e.g., ETL, DBT, Apache Spark™ Airflow)
- Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)
- Excellent time management and prioritization skills
- Excellent written and verbal communication
- Bonus - Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models)
Benefits
- Private medical insurance
- Accident coverage
- Equity awards
- Paid parental leave
- Gym reimbursement
- Annual personal development fund
- Work headphones reimbursement
- Business travel insurance
- Mental wellness resources
This job is no longer open