Data Engineer Tech Lead

Summary

Join a team in Brazil, Argentina, or Colombia as a Senior Data Engineer for a large-scale data modernization effort. Lead the Data Engineering team in migrating legacy data pipelines to a modern cloud environment. Collaborate with architects, DevOps, QA, and product stakeholders. Work with modern technologies like GCP, Snowflake, Apache Iceberg, dbt, Airflow, Dataflow, and BigQuery. Gain hands-on experience with Google Landing Zones. This role combines hands-on engineering with technical leadership, acting as a bridge between engineering and solution architecture.

Requirements

• 10+ years of experience in software engineering, with last 5+ years in data engineering and data warehouse modeling, with a deep understanding of the data lifecycle
• Proven track record in designing, building, and scaling ETL/ELT pipelines for both batch and streaming data
• Strong hands-on experience with Google Cloud Platform (GCP) - about 2+ years ideally not older than 2021, including: BigQuery, GCS, Cloud Composer (Airflow), Dataflow, Dataproc, Pub/Sub, Cloud Functions
• Proficient in Python for ETL scripting, DAG development, and data manipulation
• Experience using dbt for data transformation, testing, and orchestration
• Familiar with CI/CD pipelines and Infrastructure as Code (IaC) using tools like Git, Terraform, and Serverless Framework
• Strong architectural mindset: able to design scalable, cost-efficient, and maintainable data solutions
• Acts as a tech lead and architect hybrid—can drive technical direction (both in customer negotiations & planning and implementation), mentor engineers, and remain hands-on
• Strong leadership and team collaboration skills; able to influence decisions, set standards, and support delivery
• Continuously explores new technologies, best practices, and modern data stack tools
• Degree in Computer Science, Information Systems, Data Engineering, or a related technical field
• Upper-Intermediate or higher level of English (B2+); excellent communicator and team player

Responsibilities

• Lead a skilled Data Engineering team through high-impact data platform transformation in a production environment
• Work hands-on with modern, in-demand technologies like GCP, Snowflake, Apache Iceberg, dbt, Airflow, Dataflow, and BigQuery
• Gain hands-on experience with Google Landing Zones
• In this role, you’ll combine hands-on engineering work with technical leadership responsibilities, acting as a bridge between engineering and solution architecture, guiding technical direction, mentoring engineers and contributing to code and design to ensure scalable, high impact project delivery
• Review and analyze existing ETL solutions for migration to the new architecture
• Design, optimize, and migrate batch and streaming data pipelines to the GCP Landing Zone
• Build and manage data transformations with dbt, supporting ELT pipelines in Snowflake
• Ensure the new data infrastructure meets performance and quality SLAs/SLOs
• Implement monitoring and alerting for pipelines to ensure system fault tolerance
• Develop migration scripts to transfer historical data to Iceberg tables
• Act as a liaison between the technical team and the client to ensure clear communication
• Break down complex tasks into smaller, manageable technical deliverables for the team
• Proactively identify risks and take steps to mitigate them

Preferred Qualifications

• Experience building and managing streaming data pipelines and event-driven architectures
• Experience writing Bash scripts
• Experience with Java for Dataflow jobs
• Familiarity with data lakehouse architectures using Iceberg tables
• Proficiency with Docker for containerizing data pipelines and supporting orchestration
• Familiarity with AI-assisted tools like GitHub Copilot

Benefits

• Join a fully integrated delivery team built on collaboration, transparency, and mutual respect
• Get 30 paid days off per year to use however you like — vacations, holidays, or personal time
• 5 paid sick days, up to 60 days of medical leave, and up to 6 paid days off per year for major family events like weddings, funerals, or the birth of a child
• Partially covered health insurance after the probation, plus a wellness bonus for gym memberships, sports nutrition, and similar needs after 6 months
• We pay in U.S. dollars and cover all approved overtime
• Join English lessons and Dev.Pro University programs, and take part in fun online activities and team-building events
• We are 99.9% remote — you can work from anywhere in the world