Senior Data Engineer

OverviewAs a Senior Data Engineer, you will own end-to-end data pipelines that drive trusted analytics, ML/AI readiness, and scalable growth across Product, Marketing and Revenue.You’ll partner with stakeholders and Data Platform teams to model data and deliver self-serve analytics for business domains.This hybrid role blends data engineering with BI/reporting skills to empower data-driven decisions and governance.You’ll work with the modern data stack to keep pipelines performant and well-documented, fostering a data-driven culture.Compensaciones / Beneficiosflexible vacationgenerous parental leavemental wellbeing supportphysical health programsfinancial planning resourcesemployee discountsResponsabilidadesDesign, build, and maintain end-to-end scalable data pipelines using Airbyte, Python and dbt; perform SQL-based transformations and ensure data quality for analysisApply dimensional modeling to map business processes into enterprise data modelsDevelop and support ETL infrastructure for clean, reliable data deliveryContribute to data architecture and strategy for pipeline deploymentCollaborate with Data Platform Engineering to translate business logic into production pipelinesDefine best practices and scalable templates for dbt-based developmentTune performance of models, pipelines, and data applicationsFoster data governance, privacy, security, and thorough documentation of pipelines and modelsUnderstand business processes and translate requirements into actionable data solutionsEngage with stakeholders across the organization to drive insights and enable self-service analyticsScope and track projects in an Agile environmentMentor data engineering teammates and provide technical leadershipOversee top-of-funnel metrics for at least one Business Domain and maintain consistent usage across modelsMaintain strong documentation and data quality across domainsRequisitos principalesBachelor’s degree in a related field3+ years in data modeling, pipelines, and data warehousing (Snowflake preferred)Advanced SQL and dbt proficiency; strong PythonExperience with data ingestion & orchestration (Airbyte & Airflow) a plusSolid understanding of modern data engineering concepts (warehouses, pipelines, semantic layers) and cloud infrastructureMarketing domain knowledge, especially Paid Media metricsAbility to work independently and in cross-functional teamsStrong communication, troubleshooting, and attention to detailExperience with BI/reporting tools (Qlik, Tableau, Power BI, Looker, Streamlit) a plusExperience with Agile methodology and JIRA a plusEnglish fluencyCollaborative mindsetStrong communication for non-technical stakeholdersMentorship and technical leadershipdbtSQLPython

Requisitos principalesBachelor’s degree in a related field 3+ years in data modeling, pipelines, and data warehousing (Snowflake preferred) Advanced SQL and dbt proficiency; strong Python Experience with data ingestion & orchestration (Airbyte & Airflow) a plus Solid understanding of modern data engineering concepts (warehouses, pipelines, semantic layers) and cloud infrastructure Marketing domain knowledge, especially Paid Media metrics Ability to work independently and in cross-functional teams Strong communication, troubleshooting, and attention to detail Experience with BI/reporting tools (Qlik, Tableau, Power BI, Looker, Streamlit) a plus Experience with Agile methodology and JIRA a plus English fluency Collaborative mindset Strong communication for non-technical stakeholders Mentorship and technical leadership dbt SQL Python