#1019 - Senior Data Engineer (Databricks & Snowflake)

Job brief

We are seeking a Senior Data Engineer with strong experience in Databricks and Snowflake to join our client team.

Responsibilities

• Design, build, and maintain scalable data pipelines for acquiring, integrating, and managing data from diverse data generation sources and systems (e.g., lab systems, MES, clinical supply, quality systems, external partners).
• Create and optimize data flows for structured and unstructured data using Python (PySpark), R, SQL, Databricks, Snowflake, and other modern engineering tools.
• Develop and maintain specific data repositories, implementing enterprise-level data models, and creating new models as needed.
• Enable AI/ML readiness by ensuring data is well-structured, versioned, traceable, and semantically aligned with enterprise data standards.

Requirements

• Bachelor's degree in Engineering, Data Science, Life Sciences, Computer Science, or related field; advanced degree preferred.
• 6+ years of experience in data engineering, including data modeling and database design, preferably in a scientific, manufacturing, or healthcare environment.
• Proficiency with Python, R, SQL, and cloud-based architectures (AWS services, Snowflake, Databricks, Redshift) along with Spark and dbt.
• Proficiency in RDS
• Expertise in ETL and DWH.
• Experience with NoSQL and graph databases.
• English language proficiency of B2+
• Strong analytical, problem-solving, and stakeholder-management skills, with the ability to translate discussions into actionable requirements.
• Ability to drive multiple exciting projects simultaneously with strong organizational skills and adaptability.
• Main tech requirements: Databricks, Snowflake, Spark, AWS, RDS, Oracle, MSSQL, domain of histopathology

Nice to have

• Experience working with the histopathology domain
• Experience with regulated or standards-driven data environments, such as CDISC, HL7, FHIR, OMOP, DICOM, or manufacturing/quality data standards.
• Familiarity with high dimensional data (e.g., imaging, sensor data, etc).
• Experience with principles connecting to or feeding MLOps and model deployment workflows.
• Knowledge of manufacturing systems (MES), laboratory information systems, or industrial data systems.
• Exposure to knowledge graph or ontology-driven architectures.

What do we offer

• Competitive salary in USD.
• 100% Remote Work.
• Contract type: Independent Contractor with Venon Solutions LLC.
• Contract duration: short-term, with high possibility to extension.
• Holidays: from the North American calendar.
• Working hours: Full-time, meetings with US and European time zones are to be expected; fully committed.