Data Engineer

• Data Pipeline Development: Build and maintain scalable ETL/ELT pipelines for real-time and batch crypto market data; integrate data from APIs, trading venues, blockchain nodes, and third-party platforms.
• Infrastructure & Architecture: Design and manage databases, warehouses, and data lakes; leverage cloud-native and distributed processing tools (e.g., AWS, Spark, Flink) to support large-scale workloads.
• Operations & Tooling: Monitor, troubleshoot, and optimize pipelines to ensure reliability, performance, and cost efficiency; implement data governance, security, and access control best practices.
• Research & Trading Support: Curate, label, and validate datasets for model training, backtesting, and strategy evaluation; prepare high-quality datasets and reports to support quantitative research and trading teams.
• Collaboration & Continuous Improvement: Work with researchers and traders to translate requirements into technical solutions; stay current with new technologies, industry developments, and AI/data science applications in trading.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Finance, Economics, or a related technical field.
• Experience in data engineering, data science, or related fields (crypto/finance/Web3 experience a strong plus).
• Strong programming skills in Python and SQL (R, Rust, or Java is a plus).
• Proven experience building and maintaining ETL/ELT pipelines, with exposure to real-time data streaming.
• Hands-on experience with cloud platforms (AWS, GCP, or Azure) and cloud-native services.
• Familiarity with on-chain analytics tools, crypto data APIs, and financial datasets.
• Strong understanding of data governance, quality control, and reproducibility in research workflows.
• Excellent attention to detail, problem-solving, and ability to work independently in a fast-paced environment.
• Bonus: familiarity with quantitative research, backtesting, and trading workflows, knowledge of machine learning data pipelines and evaluation processes.

• Excellent career development opportunities
• Competitive compensation (salary + research/performance bonuses)
• Access to advanced tools and unique datasets
• Growth and learning opportunities with a leading-edge research team

SendingLabs