Senior Data Engineer

Stelle nicht auf LinkedIn

🕒 vor 1 Monat

Jetzt Bewerben

Ähnliche Remote-Jobs finden

E-Mail-Benachrichtigung für neue Jobs einrichten

📊 Überprüfen Sie Ihre Lebenslauf-Bewertung für diese Stelle

Verbessern Sie Ihre Chancen auf ein Vorstellungsgespräch, indem Sie Ihre Lebenslauf-Bewertung vor der Bewerbung überprüfen.

Lebenslauf hochladen

Sayari

WebsiteLinkedInAlle Stellen

1 - 10 Mitarbeiter

🔬 Wissenschaft

🤝 B2B

Science • B2B

Sayari ist ein französisches Umweltberatungs- und Forschungsbüro, das Organisationen dabei unterstützt, die neuesten wissenschaftlichen Fortschritte für eine nachhaltige Entscheidungsfindung zu operationalisieren. Das Unternehmen entwickelt Umweltdaten, führt Lebenszyklusanalysen durch und erstellt Strategien zur Reduzierung von Umweltauswirkungen, zur Förderung der Biodiversität und zur Verbesserung der Wasserresilienz. Sayari bedient öffentliche Akteure, große Unternehmen, KMUs und Startups, indem es maßgeschneiderte Studien, Werkzeuge und Schulungen anbietet, um Regulierungen vorauszusehen, die Leistung zu verbessern und die Attraktivität für Investoren und Stakeholder zu steigern. Mit Sitz in Saint-Germain-en-Laye, Frankreich, nimmt Sayari an nationalen Initiativen wie AGRIBALYSE und Umweltfußabdruck-Ausschüssen teil.

Beschreibung

• Design, build, and maintain scalable data pipelines using Python, Spark, and Airflow to support our core data acquisition and entity resolution engines. • Collaborate cross-functionally with AI/ML and Product teams to implement new features and AI-native products. • Proactively identify and resolve bottlenecks in our complex ETL processes, bringing a fresh perspective to refine and optimize our existing codebase. • Contribute to a robust engineering culture through rigorous code reviews, unit testing, and clear communication of design decisions. • Own the end-to-end delivery of roadmap tasks within two-week sprints, ensuring work meets high standards for quality, documentation, and performance. • Participate in roadmap planning and story refinement, eventually taking ownership of major epics that drive our long-term product defensibility.

🎯 Anforderungen

• 5 or more years of production data engineering experience, with clear ownership of systems you built and operated end to end • Strong Python, with meaningful experience in a JVM language (Scala preferred) or willingness to ramp quickly • Hands-on Snowflake experience, or equivalent depth in BigQuery or Redshift with demonstrated ability to transfer • Experience deploying and operating AI or ML applications in production, including output validation, monitoring, and cost management at scale • Orchestration experience with Apache Airflow or a comparable workflow tool • Track record of operating production systems reliably, with comfort navigating failure, monitoring, and recovery • Preferred: Experience with Spark on Dataproc Serverless or other serverless Spark environments • Familiarity with Kubernetes for deployment • Experience with data quality tooling such as deequ, Great Expectations, or equivalent • GCP experience (BigQuery, Dataproc, Cloud Storage) • Experience leading or contributing to a data warehouse migration • Background in team mergers or migrating a team onto a new operating process

🏖️ Vorteile

• 100% fully paid medical, vision, and dental for employees and their dependents • Generous time off; we observe all US federal holidays, close our office for a winter break (12/24-12/31), in addition to granting 18 PTO days and 10 sick days • Outstanding compensation package; competitive commissions for revenue roles and bonuses for non-revenue positions • A strong commitment to diversity, equity, and inclusion • Eligibility to participate in additional benefits such as 401k match up to 5%, 100% paid life insurance (up to $100,000 coverage),, and parental leave • A collaborative and positive culture - your team will be as smart and driven as you • Limitless growth and learning opportunities