About Drivetrain
Empowering data-driven financial decisions for businesses
Key Highlights
- Headquartered in San Jose, CA
- $15 million raised in Series A funding
- Serves clients like Whatfix and Mindtickle
- Offers predictive analytics and planning tools
Drivetrain is a financial planning and decision-making platform headquartered in San Jose, CA, that empowers businesses to make data-driven decisions. With $15 million in Series A funding, Drivetrain serves notable clients such as Whatfix and Mindtickle, offering tools for planning, monitoring, and ...
🎁 Benefits
Drivetrain offers a range of benefits including an annual retreat, a work-from-home and workspace allowance, a learning budget, and a unique 'Meet you...
🌟 Culture
Drivetrain fosters a culture focused on data-driven decision-making, providing a supportive environment for employees to act as strategic partners to ...
Overview
Drivetrain is hiring a Data Engineer to lay the foundation of an exceptional data engineering practice. You'll work with various programming languages and big data workflow frameworks. This position requires strong software engineering fundamentals and the ability to learn new technologies quickly.
Job Description
Who you are
You are a confident programmer with a strong foundation in software engineering and computer science principles. You have experience with big data workflow frameworks and solutions, enabling you to contribute effectively to the data engineering practice at Drivetrain. You are eager to learn new technologies quickly and adapt to the evolving needs of the business. Your ability to collaborate and communicate effectively will help you thrive in a remote-first environment.
What you'll do
As a Data Engineer at Drivetrain, you will be responsible for laying the groundwork for a robust data engineering practice. You will work closely with cross-functional teams to understand data requirements and design scalable data pipelines. Your role will involve implementing best practices for data management and ensuring data quality across the organization. You will also have the opportunity to explore new ideas and technologies that can enhance the data engineering capabilities of the company.
What we offer
Drivetrain provides a remote-friendly work environment that encourages autonomy and creativity. You will be part of a culture that values open communication and transparency, allowing you to contribute your ideas and insights. The company is backed by leading venture capital firms and is on a trajectory for success, providing you with opportunities for professional growth and development. Join us in empowering businesses to make better decisions through our innovative financial planning and decision-making platform.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Drivetrain.
Similar Jobs You Might Like
Based on your interests and this role
Data Engineer
Akuna is seeking a Data Engineer to join their Data Engineering team, responsible for designing and maintaining systems that manage and query data assets. This role requires expertise in data-driven solutions and collaboration within a trading environment.
Data Engineer
Real is hiring a Data Engineer to lead the creation and maintenance of data infrastructure and reporting capabilities. You'll work with SQL and AWS, and implement BI systems like Tableau. This role requires advanced knowledge of data design and performance.
Data Engineer
BitGo is seeking a Data Engineer to build robust and scalable data pipelines. You'll work with SQL, Python, and modern data platforms like Snowflake and dbt. This role requires strong experience in data engineering and a collaborative mindset.
Data Engineer
Airtable is hiring a Data Engineer to design and manage critical data pipelines that enable decision-making across the organization. You'll work with technologies like Airflow, AWS, and BigQuery. This role requires experience in data engineering and a strong understanding of data solutions.
Data Engineer
Coupang is hiring a Staff Data Engineer to architect and develop data ingestion systems, data lakes, and data warehouses. You'll work with technologies like AWS, Apache Spark, and SQL to enable data-driven decision-making across the organization.