EarnIn
StaffDataEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Staff Data Engineer at EarnIn. Skills: Data infrastructure, Data engineering, AI automation, Python. Lead scaling data infrastructure. Streamline data delivery”
What You'll Achieve.
Build an enterprise-grade Data Platform; Provide deep insights into key business metrics; Meet complex business needs and requirements; Ensure team success
Industry & Context.
Advising on technical data issues; Synthesizing feedback
2+ days in the office, Travel to Mountain View HQ and Bangkok Site
What They're Looking For.
Must Have
7+ years in designing, building, and maintaining the Data infrastructure, Bachelor's, Master’s, or PhD degree in computer science, computer engineering, or a related technical discipline, or equivalent industry experience, Deep knowledge of Kafka, Proficiency in programming languages like Python and Scala, good understanding of ML engineering, knowledge of distributed computing frameworks, such as Apache Spark, knowledge of cloud platforms such as AWS, Azure, or GCP, Deep understanding of database design, SQL, and NoSQL databases, Experience in managing large datasets and optimizing database performance, Proficiency in Git and Terraform, 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
Nice to Have
Working experience with Databricks, Experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, ChatGPT, or similar tools)
What You'll Do.
Lead scaling data infrastructure
Streamline data delivery
Develop AI-based analytical tools
Architect and manage data sets
Provide support for data infrastructure challenges
Advise on technical data issues
Implement self-serve solutions
Define technical direction
Estimate project timelines
Participate in hiring
Onboard new team members
Lead cross-team initiatives
Learn new technologies
How You'll Work.
Team & Collaboration
Work cross-functionally with various teams; Engage closely with executive, product, data, and design teams; Collaborate and mentor other senior engineers; Provide guidance using code, design, and architecture reviews
Process & Methodology
Lead complex projects and teams, Manage team project timelines, Manage team risks
Full Job Description
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. 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, as well as 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. This position will be hybrid from our Bengaluru office, as part of our expanding site, with 2+ days in the office. EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Mountain View HQ and Bangkok Site. Our salary ranges are determined by role, level, and location. WHAT YOU'LL DO Lead and focus on scaling the data infrastructure, streamlining the data delivery, and designing and implementing AI automation to replace manual operations. Engage closely with a wide array of stakeholders, including executive, product, data, and design teams, providing high-level support for data infrastructure challenges, advising on technical data issues, and implementing self-serve solutions. Develop sophisticated AI-based analytical tools that integrate with the data pipeline
Applying for this Staff Data Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about EarnIn?
Real rants from real employees. Read before you apply.