Staff Data Engineer

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 require a hybrid work arrangement from our Mexico City office, as part of our expanding site, although a remote arrangement is also possible. EarnIn provides excellent benefits for our employees, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our Mountain View HQ. Our salary ranges are determined by role, level, and location.

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 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 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.
• Lead cross-team engineering initiatives.
• Constantly learning about new technologies and industry standards in data engineering.

WHAT WE'RE LOOKING FOR

• 7+ 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
• Knowledge of Kafka
• Proficiency in programming languages like 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.
• Working experience with Databricks would be nice to have
• 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 (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 protocol

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