Description

We’re looking for a brilliant, hands-on, and mission-driven Senior Data Engineer to join our R&D team at IVIX. Our technology helps governments uncover hidden business activity and fight financial crimes, by turning massive volumes of public web data into actionable intelligence. You’ll play a central role in designing and scaling our data infrastructure and pipelines that process hundreds of millions of records across diverse domains — from eCommerce to crypto to social media.

Equal Opportunity Employer

About the company

IVIX is the first AI-powered solution designed specifically to address a $20 trillion problem: illuminating the global shadow economy. IVIX leverages Open-Source Intelligence (OSINT) and highly advanced, cutting-edge technologies to reveal illicit business activity around the world, empowering governments in their mission to fight financial crime and close the tax gap.

IVIX employs a variety of AI tools (deep neural networks, large language models, and predictive modeling) as well as advanced data analytics to rapidly pinpoint large-scale illicit business activity, so government authorities can combat financial crime in the digital age.

Led by security, tech, tax and financial crime experts, and advised by a diverse team of former IRS commissioners, IVIX works with dozens of state and federal governments globally.

About the postion

• Build and maintain robust, scalable data pipelines using Spark, Kafka, and Python.
• Architect and optimize big data systems that fuel our AI, ML, and graph-based analytics layers.
• Develop ingestion frameworks for processing unstructured and structured public web data at scale.
• Collaborate with data scientists, software engineers, and product teams to support business-driven data flows.
• Manage and monitor workloads running in AWS (e.g., EMR, Glue, S3, Redshift, Athena, Lambda).
• Take ownership of data quality, reliability, and performance across our pipelines.
• Drive improvements in observability, tooling, and infrastructure resilience.

Requirements

• 5+ years of hands-on experience in data engineering roles.
• Strong programming skills in Python (Scala/Java a plus).
• Proven experience with Apache Spark and streaming technologies like Kafka.
• Solid background in building scalable data pipelines and working with big data architectures.
• Experience working in cloud environments, preferably AWS.
• Experience with orchestration tools like Airflow.
• Familiarity with data lakes, data warehouses, and schema design.
• Excellent analytical skills, self-motivated attitude, and strong communication skills.
• BSc in Computer Science, Engineering, or equivalent.