Published: Tue, 15 Oct 2024 18:51:02 GMT
Job Title: Experienced Data Engineer at One
Overview:
One is a financial technology company with a mission to help customers achieve financial progress. Our goal is to simplify the financial lives of our customers by providing a comprehensive platform for saving, spending, borrowing, and growing money all in one place.
The current financial landscape in the U.S. is lacking, with millions of Americans unable to access credit, build savings or wealth, and forced to use multiple disconnected apps to manage their finances. Through the support of our preeminent fintech investor Ribbit and the world’s largest retailer Walmart, One maintains the speed and agility of a startup while also employing a growing team of exceptional talent.
We are currently seeking a Data Engineer to join our team. In this role, you will be responsible for designing, developing, and maintaining our data infrastructure, including data pipelines and data warehouses. Your work will play a crucial role in supporting our vision and enabling data-driven decision-making across the organization. You will collaborate closely with our data science, business analysts, and software engineering teams to ensure our data architecture meets the needs of our business and supports our growth.
Responsibilities:
– Design, develop, and maintain robust data pipelines and workflows using Databricks, Spark, and Python
– Build and optimize data warehouses to meet the evolving needs of business stakeholders
– Collaborate with data scientists to streamline data processing for advanced analytics and machine learning
– Work closely with software engineers to align data architecture with overall system architecture and engineering best practices
– Ensure data infrastructure is reliable, secure, and compliant with relevant industry regulations and data governance standards
– Monitor, troubleshoot, and proactively identify improvements in the data infrastructure to ensure high availability and performance
Requirements:
– 5+ years of experience in data engineering or a similar role
– Proficiency in using Databricks for managing data pipelines and analytics workflows
– Strong experience with Apache Spark for large-scale data processing
– Advanced knowledge of SQL for data manipulation, querying, and creating ETL processes
– Expertise in Python for scripting, automation, and building data workflows
– Strong problem-solving and analytical skills
– Ability to work collaboratively with cross-functional teams
– Familiarity with real-time data streaming technologies (Kafka, Kinesis)
– Experience with infrastructure-as-code (IaC) for infrastructure and pipeline implementations
– Experience with cloud services, preferably AWS
– An entrepreneurial mindset and a proactive attitude towards taking action
Pay Transparency:
The estimated annual base salary for this position ranges from $135,000 to $175,000. Pay is based on the level, complexity, responsibility, and job duties/requirements of the specific position. We source candidates with the necessary skills, expertise, education, training, and experience. If you are selected for an interview, our Talent Partner will be happy to discuss our compensation philosophy and available benefits with you.
What It’s Like Working at One:
– Competitive salary and benefits package starting on day one
– Early access to a high-potential, high-growth fintech company
– Generous stock option packages in an early-stage startup
– Remote-friendly (anywhere in the US) and office-friendly – you choose the schedule
– Flexible time-off programs including vacation, sick, paid parental leave, and paid caregiver leave
– 401(k) plan with company match
Leveling Philosophy:
To ensure fair and equitable opportunities for growth, we have adopted a flat titling structure at One. While we may occasionally use prefixes such as “Senior” externally to reflect the level of a position, we do not use them internally unless the position manages a team. Internal titles typically include the employee’s specific functional responsibility, such as engineering, product management, or sales, and may include additional descriptors to clarify the role and placement within our organization (e.g. “Engineer, Platform”, “Sales, Business Development”, or “Manager, Talent”). Employees are compensated based on their experience and internal level at One.
Inclusion & Belonging:
We believe that to create technology and products that are used and loved by people and solve real-world problems, we need a team with diverse perspectives and experiences. One is an equal opportunity employer and values diversity within our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. If you require any special assistance or accommodation during the interview process or in accessing our website, please contact us at talent@one.app. Apply link
