Senior Data Engineer Team Lead

Summary

Join a team in Brazil, Argentina, or Colombia as a Senior Data Engineer, working remotely to modernize data pipelines for a major enterprise client. Lead the Data Engineering team in migrating legacy data pipelines to a custom-built cloud environment. Collaborate with architects, DevOps, QA, and product stakeholders. Utilize modern technologies like GCP, Snowflake, and dbt. The role combines hands-on engineering with team leadership to ensure timely project delivery and success. The company offers a remote-first work environment and various benefits.

Requirements

• 5+ years in data engineering and data warehouse modeling
• Strong proficiency in designing and building ETL for large data volumes and streaming solutions
• Expert-level SQL skills and experience in Snowflake and Apache Iceberg tables
• Hands-on experience with GCP services (BigQuery, GCS, Airflow, Dataflow, Dataproc, Pub/Sub)
• Proficiency in Python for ETL scripting and DAG development
• Experience using dbt for data transformation and orchestration
• Familiarity with CI/CD processes and tools (Git, Terraform, Serverless)
• Degree in Computer Science, Data Engineering, Information Systems, or related fields
• Strong leadership skills with proven experience guiding technical teams
• Strong communication and collaboration abilities
• Upper-Intermediate+ English level

Responsibilities

• 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
• Lead a skilled Data Engineering team through a 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
• Hands on experience with Google Landing Zones
• We are 99.9% remote — you can work from anywhere in the world
• 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