Data Engineer

Job not on LinkedIn

🕒 July 10

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Sayari

WebsiteLinkedInAll Job Openings

1 - 10 employees

🔬 Science

🤝 B2B

Science • B2B

Sayari is a French environmental consultancy and research bureau that helps organizations operationalize the latest scientific advances for sustainable decision-making. The firm develops environmental data, conducts life-cycle assessments, and builds strategies for product environmental impact, biodiversity, and water resilience. Sayari serves public actors, large companies, SMEs and startups by delivering bespoke studies, tools and trainings to anticipate regulation, improve performance, and enhance attractiveness to investors and stakeholders. Headquartered in Saint-Germain-en-Laye, France, Sayari participates in national initiatives such as AGRIBALYSE and environmental footprint committees.

📋 Description

• 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.

🎯 Requirements

• Professional proficiency in Python and experience contributing to shared codebases using Git (branching, PRs, code reviews). • 3+ years of experience working in Data Engineering • Demonstrated experience working with relational databases (PostgreSQL/BigQuery) and an interest in or familiarity with graph databases. • Familiarity with distributed computing (Spark) or a strong desire to master it. • Strong collaborative skills and the ability to work effectively in an Agile, sprint-based environment. • A "self-directed" orientation: ability to move tasks from "assigned" to "complete" with high autonomy and clear communication. • Experience with Django, Scala, or Scrapy. • Hands-on experience with workflow orchestration tools like Airflow. • Experience or strong interest in LLM tuning, deployment, and AI engineering best practices. • Experience working with international or non-English datasets. • Prior experience working with high-scale, complex data pipelines.

🏖️ Benefits

• 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