Senior Data Engineer

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

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.

• 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.

• 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.