Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Take full responsibility for the overall health of EULER’s data lifecycle, encompassing capture, validation, protection, and structuring.

• Establish instrumentation requirements and collaborate with engineering and product teams to ensure accurate data recording.

• Develop validation and reconciliation systems to maintain data quality and integrity.

• Manage data protection and anonymization practices while documenting commitments to customers.

• Create canonical data models and taxonomies applicable across various customers.

• Generate datasets and documentation that support reporting and analytics efforts.

• Make data comprehensible for non-technical stakeholders through effective documentation.

• Set the benchmark for data management at EULER and independently oversee the data domain.

⛳️ Requirements

• Proficient in SQL, including window functions and precise aggregation techniques.

• Experience in managing production data pipelines from start to finish.

• Software engineering capabilities to write, test, and review code for data pipelines.

• Code that is both tested and reviewable.

• A critical, data-driven mindset towards validating figures and distributions.

• Capacity to independently manage a domain and prioritize tasks effectively.

• Strong written communication skills.

• Proficient in professional working English.

• Availability during working hours on the US East Coast.

• Nice to have: experience with data privacy, specifically in anonymization and pseudonymization.

• Nice to have: familiarity with GDPR/LGPD in practical applications.

• Nice to have: experience in multi-tenant B2B SaaS data environments.

• Nice to have: knowledge of dbt or a similar analytics engineering framework.

• Nice to have: understanding of statistics, including survival analysis, censoring, selection bias, and hierarchical models.

• Nice to have: experience with Cloudflare Workers and Hyperdrive.

• Nice to have: familiarity with Postgres, Parquet, or DuckDB.

• Nice to have: experience with Bubble or similar low-code platforms.

• A portfolio in deep learning, an LLM, or a PhD are not mandatory.

🏝️ Benefits

• Flexible remote working options, allowing you to work from any location.

• Competitive salary package.

• An encouraging and innovative team culture.

• Opportunities for professional development and career advancement.

• Full ownership of your designated domain.

• No requirement for unpaid project work.