Staff Data Engineer at Earnin | Powderkeg

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 an experienced Staff Data Engineer proficient in Data infrastructure operations, automation, and management, in addition to traditional data engineering responsibilities. 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 $175,600 - $261,800 + equity + benefits. Our salary ranges are determined by role, level, and location. This position is based in our Palo Alto HQ and will require hybrid work with in-office days 2+ days a week.

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 sets us apart:

  • High-impact roles at a fast-moving company that’s aggressively growing our user base
  • We are a collaborative team and genuinely enjoy working with each other.
  • We believe in empowering our people to be successful
  • We’re building a product that reimagines the way money moves to empower human potential

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

At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.

EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.

Job Summary
  • Job Title
    Staff Data Engineer
  • Company
  • Location
  • Employment Type
    Full time
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