Senior Data Engineer
Built TechnologiesSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, Data Engineering, BiotechnologyIndustries
Position Overview
- Location Type: Remote (India)
- Employment Type: Full-time
- Salary: Not specified
Description: Data Platform is focused on democratizing learning through data analytics and experimentation. This role involves designing data architecture, building data pipelines, and empowering executives, PMs, and engineering leadership with insights for better decision-making. The team will build self-serve tools and capabilities like forecasting and alerting.
Requirements
- BS or MS degree in Computer Science, Engineering, or a related technical field
- Strong SQL skills
- 5+ years of experience working with event instrumentation, data pipelines, and data warehouses, preferably as a data architect.
- Proficiency with systems design and data modeling
- Fluency with workflow management tools, like Airflow or dbt
- Experience with modern data warehouses, like Snowflake or BigQuery
- Expertise breaking down complex problems, documenting solutions, and sequencing work for iterative improvements
- Familiarity with marketing data tech stack
- Familiarity with data visualization tools such as Mode, Tableau, and Looker
- Familiarity with programming skills, preferably in Python
- Familiarity with software design principles, including test-driven development
Responsibilities
- Drive direct business impact with executive-level visibility.
- Design technical architecture and implement components from the ground up.
- Work on joining various online and offline data sets.
- Learn and grow Data Science and Data Analytics skills.
- Opportunity to grow into a Tech Lead/Manager and mentor junior team members.
- Partner with infrastructure and product engineers to instrument backend services and user journeys.
- Design, develop, and monitor scalable and cost-efficient data pipelines and build new integrations.
- Work with data analysts and data scientists to design data models for metrics and machine learning models.
- Establish best practices for data engineering.
- Assess build vs. buy tradeoffs for components in the company-wide analytics platform.
Application Instructions
- #LI-Remote #LI-RJ1
Company Information
About Opendoor:
Founded in 2014, Opendoor’s mission is to power life’s progress one move at a time. We believe the traditional real estate process is broken and our goal is simple: build a digital, end-to-end customer experience that makes buying and selling easy.
Skills
SQL
Systems Design
Data Modeling
Workflow Management (Airflow, dbt)
Modern Data Warehouses (Snowflake, BigQuery)
Python
Data Visualization (Mode, Tableau, Looker)
Data Pipelines
Data Architecture
Data Instrumentation
Data Warehousing
Software Design Principles
Test-Driven Development
Marketing Data Tech Stack
Opendoor
Technology-driven platform for buying and selling homes
About Opendoor
Opendoor simplifies the buying and selling of homes in the U.S. residential real estate market. For sellers, it offers a quick process where they can request a cash offer by providing property details. Using proprietary algorithms and market data, Opendoor generates a competitive offer, allowing sellers to avoid the traditional listing and negotiation hassles. For buyers, Opendoor provides a platform to browse homes and schedule self-guided tours, with the option to use their own agents. The company earns revenue through service fees from sellers and potential appreciation from homes it buys and resells. Opendoor's goal is to make real estate transactions more efficient and less stressful, while expanding its market presence and ensuring client safety.
San Francisco, CaliforniaHeadquarters
2014Year Founded
$2,023.2MTotal Funding
IPOCompany Stage
Data & Analytics, Real EstateIndustries
1,001-5,000Employees