Senior Data Engineer

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.