Employment : Full-time or Part-time | Reports to : Head of Technology / VP Engineering
Comp : $240,000 $260,000 USD / year (DOE & location) + equity or project tokens (standard vesting)
Payment : USD or crypto (USDT, USDC, ETH)
About Us
We are a technology company building data-driven platforms and products that rely on scalable, reliable, and high-quality data infrastructure. Our team enables analytics, machine learning, and business intelligence by designing and maintaining modern data pipelines and data platforms.
Role Overview
We are looking for a Data Engineer to design, build, and maintain data infrastructure that supports analytics, reporting, and machine learning workloads. You will work closely with product, engineering, and data teams to ensure data is accessible, reliable, and scalable.
Key Responsibilities
- Design and build scalable data pipelines and ETL / ELT processes
- Ingest, process, and transform large volumes of structured and unstructured data
- Design and maintain data warehouses, data lakes, and data models
- Ensure data quality, reliability, and consistency across systems
- Optimize data processing performance and cost
- Collaborate with analytics, ML, and product teams on data requirements
- Implement data monitoring, validation, and alerting
- Document data architecture, pipelines, and best practices
Requirements
Strong experience building and maintaining data pipelines and platformsProficiency in Python , SQL , or similar data-focused languagesExperience with ETL tools, batch and streaming data processingExperience working with relational and NoSQL databasesExperience with data warehousing and analytics platformsUnderstanding of data modeling and schema designStrong problem-solving and communication skillsNice to Have
Experience with cloud-based data platforms (AWS, GCP, Azure)Experience with big data technologies (Spark, Kafka, Flink, etc.)Experience supporting machine learning or analytics teamsExperience with data governance and security practicesWhat We Offer
Competitive compensation and growth incentivesFlexible remote-friendly work environmentOpportunity to build high-impact data platformsCollaborative and data-driven engineering cultureLearning and professional development support