Activehours provides a mobile app that lets hourly, gig, and salaried workers track earned hours and access accrued wages before payday via bank-linked cash advances without credit checks.
<div class="content-intro"><h3><strong>About EarnIn</strong></h3> <p>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.</p> <p>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.</p> <div id="fortidlp-input-element-parent"></div></div><div> <p><strong>POSITION SUMMARY<br></strong>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.</p> <div><strong>WHAT YOU'LL DO</strong></div> <ul> <li>Lead and focus on scaling the data infrastructure, streamlining the data delivery, and designing and implementing AI automation to replace manual operations.</li> <li>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.</li> <li>Develop sophisticated AI-based analytical tools that integrate with the data pipeline to provide deep insights into key business metrics, including customer growth and operational efficiency.</li> <li>Architect and manage extensive, sophisticated data sets to meet complex business needs and requirements.</li> <li>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.</li> <li>Make a meaningful impact on the lives of our community members.</li> <li>Collaborate and mentor other senior engineers while providing thoughtful guidance using code, design, and architecture reviews.</li> <li>Contribute to defining technical direction, planning the roadmap, escalating issues, and synthesizing feedback to ensure team success.</li> <li>Estimate and manage team project timelines and risks.</li> <li>Participate in hiring and onboarding for new team members.</li> <li>Lead cross-team engineering initiatives.</li> <li>Constantly learning about new technologies and industry standards in data engineering.</li> </ul> <div><strong>WHAT WE'RE LOOKING FOR</strong></div> <ul> <li>7+ years of experience in designing, building, and maintaining data infrastructure, and the ability to lead complex projects and teams.</li> <li>Bachelor's, Master’s, or PhD degree in computer science, computer engineering, or a related technical discipline, or equivalent industry experience.</li> <li>Deep knowledge of Kafka, Proficiency in programming languages like Python and Scala, and a good understanding of ML engineering. </li> <li>Strong knowledge of distributed computing frameworks, such as Apache Spark, with cloud platforms such as AWS, Azure, or GCP.</li> <li>Working experience with Databricks would be nice to have</li> <li>Experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, ChatGPT, or similar tools) as part of your software development workflow</li> <li>Deep understanding of database design, SQL, and NoSQL databases. Experience in managing large datasets and optimizing database performance.</li> <li>Proficiency in Git and Terraform, and experience in deploying continuous integration and continuous deployment (CI/CD) practices.</li> <li>Experience in managing event-driven systems, particularly with Kafka in cloud environments.</li> <li>Expertise in developing and implementing data governance frameworks, policies, and procedures to ensure data quality, compliance, and effective data management practices.</li> <li>Deep understanding of data security principles, including encryption, decryption, and secure data storage and transfer protocols</li> </ul> <p># LI-Hybrid</p> <p> </p> <p> </p> </div> <div id="fortidlp-input-element-parent"></div><div class="content-conclusion"><div id="message-list_1784563215.164299"> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div>A Note on AI in the Hiring Process: EarnIn may use Artificial Intelligence (AI)-powered tools during the hiring process, including tools that generate summaries or notes for interviewers, review resumes, assist with scheduling, or help identify themes across candidate responses and profiles for a given role. Final hiring decisions are made by human interviewers and hiring managers. If you have any concerns about the use of AI in our hiring process, please connect with your recruiter. With your consent, EarnIn may use AI tools to help transcribe or summarize <s>i</s>nterviews. Recordings are treated as confidential candidate data and are accessible only to authorized hiring personnel. Declining to be recorded will not negatively affect your candidacy or evaluation.</div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <p> </p> <p>At EarnIn, we believe tha