About EarnIn
As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. Since our founding, our app has been downloaded over 13M times and we have provided access to over $15 billion in earnings.
We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.
Position Summary
We are looking for experienced, passionate, and resourceful Staff-level Data Engineers to join our Data engineering team. As a Staff Data Engineer, you will work cross-functionally with various teams and contribute to helping build an enterprise-grade Data Platform. The US base salary range for this full-time position is $206,700 to $319,200 + equity + benefits. Our salary ranges are determined by role, level, and location.
What you'll do
- Lead the enhancement of internal processes, focusing on scaling infrastructure, streamlining data delivery, and implementing automation to replace manual operations.
- Design and implement advanced infrastructure for efficient data extraction, transformation, and loading (ETL) using cutting-edge AWS and SQL technologies.
- Develop sophisticated analytical tools that tap into the data pipeline, offering deep insights into crucial business metrics like customer growth and operational efficiency.
- Architect and manage extensive, sophisticated data sets to meet complex business needs and requirements.
- Engage closely with a wide array of stakeholders, including executive, product, data, and design teams, providing high-level support for data infrastructure challenges and advising on technical data issues.
- Make a meaningful impact in the lives of our community members.
- Collaborate and mentor other senior engineers while providing thoughtful guidance using code, design, and architecture reviews.
- Contribute to defining technical direction, planning the roadmap, escalating issues, and synthesizing feedback to ensure team success.
- Estimate and manage team project timelines and risks.
- Participate in hiring and onboarding for new team members.
- Lead cross-team engineering initiatives.
- Constantly learning about new technologies and industry standards in data engineering.
What we're looking for:
- 6+ years in designing, building, and maintaining the Data infrastructure and the ability to lead complex projects and teams.
- Bachelor's, Master’s or PhD degree in computer science, computer engineering, or a related technical discipline or equivalent industry experience.
- Proficiency in programming languages like Python and Scala.
- Strong knowledge of distributed computing frameworks such as Apache Hadoop, and Apache Spark with cloud platforms such as AWS, Azure, or GCP.
- Working experience with the Databricks.
- Deep understanding of database design, SQL, and NoSQL databases. Experience in managing large datasets and optimizing database performance.
- Proficiency in Git and Terraform and experience in deploying continuous integration and continuous deployment (CI/CD) practices.
- Experience in managing event-driven systems, particularly with Kafka in cloud environments.
- Expertise in developing and implementing data governance frameworks, policies, and procedures to ensure data quality, compliance, and effective data management practices.
- Deep understanding of data security principles, including encryption, decryption, and secure data storage and transfer protocol.