Senior Data Engineer

Descripción del trabajoExperteer Overview In this role you will design and deliver data platform architectures to support analytics, ML, and AI workflows at a fast-growing quantum software company.You will own end-to-end data pipelines, catalogs, and governance, ensuring clean, versioned data accessible for teams and clients.You’ll work with cross-functional teams to translate requirements into scalable lakehouse solutions and drive data stewardship and reproducibility.This position offers exposure to cutting-edge tech and a mission-driven, inclusive culture.Compensaciones / Beneficios Own end-to-end design and delivery of data platform architectures (lakehouse, data catalog, governance) from scoping to production release Design, implement, and operate large-scale ETL/ELT pipelines and workflow orchestration for clean, accurate, versioned data Define data modeling, partitioning, schema evolution, and versioning conventions to keep datasets queryable and reproducible Establish authoritative data catalogs with schemas, metadata, lineage, sensitivity labels, and access policies Validate released datasets against sources for completeness, correctness, and performance with objective acceptance criteria Collaborate with ML/AI engineers to make data products consumable by analytics, APIs, and AI/agent workflows Lead knowledge transfer with clients and cross-functional teams; mentor and review designs/code to raise engineering standards Stay up to date with data engineering trends (open table formats, data catalogs, orchestration) and drive adoption where valuableResponsabilidades Bachelors or master’s degree in computer science, software engineering, or a related field 4+ years of professional data engineering experience with ownership of production data platforms or pipelines Expert Python programming and strong SQL Data modeling, ETL development, and database management (SQL and NoSQL) Hands-on experience with lakehouse architectures and columnar/open table formats (Parquet, Apache Iceberg, Delta Lake) Experience with distributed processing (Spark) and workflow orchestration (Airflow, Argo Workflows) Strong cloud data platform experience (Azure, AWS, or GCP) including object storage, containers, and Kubernetes Solid data governance knowledge (catalogs, metadata, lineage, access control, versioning) Git-based workflows, CI/CD, and infrastructure-as-code experience Excellent problem-solving, communication, and collaboration skills (English)Requisitos principales Indefinite contract Equal pay guaranteed Variable performance bonus Signing bonus Work visa sponsorship Relocation package (if applicable)#J-*****-Ljbffr

Responsabilidades Bachelors or master’s degree in computer science, software engineering, or a related field 4+ years of professional data engineering experience with ownership of production data platforms or pipelines Expert Python programming and strong SQL Data modeling, ETL development, and database management (SQL and NoSQL) Hands-on experience with lakehouse architectures and columnar/open table formats (Parquet, Apache Iceberg, Delta Lake) Experience with distributed processing (Spark) and workflow orchestration (Airflow, Argo Workflows) Strong cloud data platform experience (Azure, AWS, or GCP) including object storage, containers, and Kubernetes Solid data governance knowledge (catalogs, metadata, lineage, access control, versioning) Git-based workflows, CI/CD, and infrastructure-as-code experience Excellent problem-solving, communication, and collaboration skills (English)

Requisitos principales Indefinite contract Equal pay guaranteed Variable performance bonus Signing bonus Work visa sponsorship Relocation package (if applicable) #J-*****-Ljbffr