Remoto: Trabajo híbrido

Our mission at EarnIn is to provide real‑time financial flexibility to individuals living paycheck‑to‑paycheck. We are seeking an experienced Staff Data Engineer to build and maintain an enterprise‑grade data platform that supports this mission.Position SummaryThis role requires a hybrid work arrangement in our Mexico City office, with remote arrangements possible. The successful candidate will lead cross‑functional data engineering initiatives, manage data infrastructure, and mentor senior engineers.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 leverage the data pipeline to deliver deep insights into critical business metrics such as customer growth and operational efficiency.- Architect and manage extensive, sophisticated data sets to meet complex business needs and requirements.- Engage closely with 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 our community members’ lives.- 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.- Constantly learn about new technologies and industry standards in data engineering.What We’re Looking For- 7+ years of experience designing, building, and maintaining data infrastructure,



with a proven 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.- Knowledge of Kafka.- Proficiency in programming languages such as Python and Scala.- Strong knowledge of distributed computing frameworks, including Apache Hadoop and Apache Spark, and of cloud platforms such as AWS, Azure, and GCP.- Experience with Databricks is a plus.- Deep understanding of database design, SQL, and NoSQL databases.- Experience managing large datasets and optimizing database performance.- Proficiency in Git and Terraform, and experience deploying CI/CD practices.- Experience managing event‑driven systems, especially in Kafka ecosystems.- 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.BenefitsEarnIn offers a competitive salary (determined by role, level, and location), healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to travel to our Mountain View headquarters.EEO StatementEarnIn believes that the best way to build a financial system that works for everyday people is by building a diverse team. We celebrate 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.#J-18808-Ljbffr

📌 Staff Data Engineer (Xico) (San Miguel Zinacantepec)
🏢 Link Worldwide
📍 San Miguel Zinacantepec