Remote Data Jobs · Airflow

Design, develop and optimize ETL pipelines using PySpark, Hive and Airflow for large-scale data processing. Build and maintain data lakes using Delta Lake, ensuring data reliability, quality, and integrity. Monitor, troubleshoot, and improve pipeline performance, scalability, and reliability.

• Analyze blockchain and payments data at scale.
• Build and maintain automated data models and ETL pipelines using SQL, Python, Airflow, and dbt.
• Design dashboards that reveal trends across user growth, capital movement, and transaction health.

Design, implement, and maintain robust data pipelines and transformation workflows. Work with cloud data warehouses, orchestration tools, and modern ETL frameworks. Collaborate with cross-functional stakeholders to standardize best practices.

Design, implement, and maintain robust data pipelines and transformation workflows. Work with cloud data warehouses, orchestration tools, and modern ETL frameworks. Collaborate with cross-functional stakeholders to standardize best practices.

Responsible for designing, building, and maintaining scalable data infrastructure that empowers the organization to access, process, and analyze information efficiently. Works closely with data science, IT, and business teams to optimize cloud-based solutions, automate data pipelines, and ensure real-time data availability. Hands-on experience with modern data technologies is emphasized, and focuses on data quality, efficiency, and reliability.

You’ll be joining a small, high-impact data engineering team within Federato’s AI/ML organization, where the focus is on building the infrastructure and internal frameworks that empower machine learning engineers. Data and tooling are reliable, scalable, and aligned with the needs of our AI-native platform which enables machine learning engineers to develop, deploy, and iterate on AI-powered features.

You’ll be joining a small, high-impact data engineering team within Federato’s AI/ML organization, where the focus is on building the infrastructure and internal frameworks that empower machine learning engineers. Data and tooling are reliable, scalable, and aligned with the needs of our AI-native platform which enables machine learning engineers to develop, deploy, and iterate on AI-powered features.

Excella is looking for a Senior Consultant Data Engineer to play a key role in designing and building modern data solutions. They will develop robust, scalable, and sustainable data pipelines using batch and streaming technologies. The Senior Data Engineer will also collaborate with cross-functional teams to ensure data availability, quality, and integration.

As a Software Engineer on the BI Engineering team, you’ll help build and shape the backbone for analytics needs across the organization. You’ll work with Analysts, Data & ML Engineers, as well as other internal teams to define and shape self-service analytics and a data-driven organization. You’ll support the relationship between the BI/Analytics, External Reporting, Product, Data Platform and domain engineering teams as we build out robust data solutions for our AI and Core Products.

We’re looking for a senior data leader who operates at a director level but prefers to stay deeply hands-on. You will own the entire data ecosystem — warehouse, pipelines, modeling, semantic layer, BI foundations, and internal data applications. This role shapes the company’s data strategy while building high-quality, scalable systems that power decision-making across every team.