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
Requirements
Candidates require a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, along with 5 or more years of experience in event instrumentation, data pipelines, and data warehouses, preferably as a data architect. Proficiency in systems design and data modeling is essential, as is fluency with workflow management tools such as Airflow or dbt, and experience with modern data warehouses like Snowflake or BigQuery. Expertise in breaking down complex problems, documenting solutions, and sequencing work for iterative improvements is also needed, alongside familiarity with marketing data tech stacks, data visualization tools like Mode, Tableau, and Looker, and programming skills, particularly in Python, as well as knowledge of software design principles including test-driven development.
Responsibilities
The Senior Data Engineer will drive direct business impact with executive-level visibility by designing technical architecture and implementing components from the ground up, working on the unique challenge of joining diverse data sets, and collaborating with data analysts and data scientists to design data models. They will also establish best practices for data engineering, assess build vs. buy tradeoffs, partner with infrastructure and product engineers to instrument services and user journeys, design and develop scalable data pipelines and integrations, and monitor their performance. Furthermore, this role involves learning and growing Data Science and Data Analytics skills, and potentially mentoring junior team members as the team grows.
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.
Key Metrics
San Francisco, CaliforniaHeadquarters
2014Year Founded
$2,023.2MTotal Funding
IPOCompany Stage
Data & Analytics, Real EstateIndustries
1,001-5,000Employees