Database Engineer

Explore the Nearsure experienceJoin our close-knit LATAM remote team: Connect through fun activities like coffee breaks, tech talks, and games with your team-mates and management.Say goodbye to micromanagement We champion autonomy, open communication, and respect for diversity as our core values.Your well-being matters: Our People Care team is here from day one to support you with everything from time-off requests to wellness check-ins.Plus, our Accounts Management team ensures smooth, effective client relationships, so you can focus on what you do best.Ready to grow with us?Here's what we offer you by joining usCompetitive USD salary – We value your skills and contributions100% remote work – While you can work from anywhere, you're always welcome to connect with teammates and grow your network at our coworking spaces across LATAMPaid time off – Take the time you need according to your country's regulations, all while receiving your full salary. Rest, recharge, and come back strongerNational Holidays celebrated – Take time off to celebrate important events and traditions with loved ones, fully embracing your culture.Sick leave – Focus on your health without the stress. Take the necessary time to recover and feel better.Refundable Annual Credit – Spend it on the perks you love to enhance your work-life balanceTeam-building activities – Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nearsure family and feel part of our vibrant community.Birthday day off – Enjoy an extra day off during your birthday week to celebrate in style with friends and familyAbout the project:As a Staff Database Engineer (AWS), you will lead the design and optimization of our global, multi-cloud data infrastructure. This role requires deep technical expertise across AWS, Azure, and modern data stack tools, along with the ability to architect, scale, and govern complex data systems that span regions and business units.How you'll contributeArchitect and manage scalable, fault-tolerant, and high-performance data pipelines using AWS Glue, Step Functions, Lambda, Azure Data Factory, and Python.Design and implement global data infrastructure across multiple regions, optimizing for latency, availability, and compliance with international data standards.Own and evolve the architecture of core databases and warehouses, including Snowflake, PostgreSQL, MySQL, DynamoDB, DocumentDB, and MongoDB.Lead and oversee data migrations between cloud platforms (AWS, Azure), legacy systems, and global regions with minimal downtime and high data integrity.Define standards for indexing, query optimization, partitioning, and sharding strategies to support high-throughput and low-latency workloads.Champion observability by implementing and scaling monitoring, alerting, and dashboards via CloudWatch, Azure Monitor, Datadog, or similar tools.Orchestrate transformations using DBT or Coalesce, maintaining strong data lineage, validation, and governance across workflows.Collaborate cross-functionally with Engineering, DevOps, and Analytics teams to deliver data solutions that are secure, reliable, and cost-efficient.Mentor engineers in best practices for database performance, automation, and data reliability.Drive automation and operational excellence through CLI tools, APIs, infrastructure-as-code (Terraform, CloudFormation, or Bicep), and CI/CD pipelines.Ensure data quality and compliance by implementing validation frameworks, automated testing, and consistent documentation across systems.This would make you the ideal candidateBachelor's Degree in Computer Science, Engineering, or a related field.6+ Years of experience working as Data Engineer, Database Engineer, or Cloud Data Architect.Proven AWS hands-on expertise, especially with Glue, Step Functions and Lambda.Strong Python and SQL skills for workflow development and optimization.Experience designing and maintaining data pipelines (ETL/ELT).Proven data migration experience (cross-cloud or hybrid, with minimal downtime).Hands-on with data orchestration tools (e.g., Glue, Step Functions).Solid experience with at least two database systems among: Snowflake, PostgreSQL, MySQL, DynamoDB, MongoDB.Experience with monitoring and observability tools (CloudWatch, Azure Monitor, or Datadog).Excellent communication and collaboration skills with technical and non-technical teams.Azure experience (Data Factory, Synapse, Functions, Monitor).Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or Bicep.Experience implementing cost governance frameworks in cloud data environments.Hands-on with data transformation tools (DBT or Coalesce).Deep understanding of performance tuning and scaling optimization for both relational and NoSQL databases.Experience mentoring or guiding engineers in best practices.Strong grasp of data quality and validation frameworks.Knowledge of partitioning, indexing, and sharding strategies for performance optimization.Exposure to CI/CD pipelines for data engineering projects.Advanced English Level is required for this role, as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons.What to expect from our hiring process1. Let's chat about your experience2. Impress our recruiters, and you'll move on to a technical interview with our top developers.3. Nail that, and you'll meet our client - your final step to joining our amazing teamAt Nearsure, we're dedicated to solving complex business challenges through cutting-edge technology and we believe in the power of tailored solutions. Whether you are passionate about transforming businesses with Generative AI, building innovative software products, or implementing comprehensive enterprise platform solutions, we invite you to be part of our dynamic teamWe would love to hear from you if you are eager to make an impact and join a collaborative team that values creativity and expertise.Let's work together to shape the future of technologyApply nowBy applying to this position, you authorize Nearsure to collect, store, transfer, and process your personal data in accordance with our Privacy Policy. For more information, please review our Privacy Policy. (