Full-Time

Data Engineer

Confirmed live in the last 24 hours

Databricks

Databricks

5,001-10,000 employees

Unified data, analytics, and AI platform

Data & Analytics

Mid

San Francisco, CA, USA

Required Skills
Python
Data Science
Data Structures & Algorithms
SQL
Tableau
Salesforce
Looker
Data Analysis
Requirements
  • 2+ years of related experience with a Bachelor’s or Master’s degree in Computer Science, Statistics, Information Systems or another quantitative field.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Knowledge of data modeling and design of schemas for read and write performance.
  • Advanced working knowledge and experience working with relational databases, query authoring as well as working familiarity with a variety of databases.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Knowledge of message queuing, stream processing, API based extraction and highly scalable ‘big data’ data stores.
  • Experience supporting and working with cross-functional teams
  • Experience with Python and SQL
  • Experience with building data pipelines from business applications like Salesforce, Marketo, NetSuite, Workday etc.
  • Knowledge of Databricks Platform
  • Knowledge of AI/ML/Data Science
  • Knowledge of BI Tools like Tableau, Looker etc
Responsibilities
  • Influence decision-making for business teams through data, analytics, and business intelligence.
  • Guide the business in identifying data needs and delivering mechanisms for acquiring and reporting such information and addressing the actual needs.
  • Gather and maintain best practices that can be adopted across the business.
  • Be the go-to expert for the business for data analysis, reporting, data warehousing, and business intelligence.
  • Responsible for daily operations inclusive of troubleshooting and job monitoring.
  • Design and support the business’s database and table schemas for new and existing data sources for the data warehouse.
  • Create and support the ETL to facilitate the accommodation of data into the warehouse.
  • Collaborate with analysts, data scientists, and other data consumers to gather and deliver high-quality data for business-cases.
  • Analyze business requirements and translate results into technical data designs.
  • Establish documentation of data solutions and maintain technical specification documentation for all reports and processes.

Databricks provides a Lakehouse Platform integrating data management, analytics, and AI capabilities across a range of industries. Employing tools like Delta Lake and Databricks SQL enhances operational efficiency and precision. As a workplace, it offers a collaborative and technology-driven environment, promoting growth through cutting-edge machine learning solutions and a commitment to leading the industry in data innovation. This makes it an inspiring place for tech professionals to advance their careers in a vibrant and forward-thinking setting.

Company Stage

Series I

Total Funding

$4.2B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

12%

1 year growth

37%

2 year growth

112%

Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave