Senior Data Platform Engineer

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 to provide deep insights into key business metrics, including 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 on 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

• 4+ years of experience in designing, building, and maintaining data infrastructure, and the ability to lead complex projects
• 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, and a good understanding of ML engineering.
• Strong knowledge of distributed computing frameworks, such as Apache Spark, with cloud platforms such as AWS, Azure, or GCP.
• Working experience with Databricks would be nice to have
• Experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, ChatGPT, or similar tools) as part of your software development workflow
• 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 protocols

# LI-Hybrid

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.