Data Engineer

Overview Ascendion is an AI-native software engineering disruptor helping businesses innovate faster, smarter, and with greater impact. We partner with enterprise clients across North America, the UK, Europe, and APAC to solve complex challenges in data, experience design, software product engineering, and workforce transformation. Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI (EngineeringAI) method, we deliver measurable outcomes that build trust, unlock value, and accelerate growth. Learn more at Engineering to the Power of AI™, AAVA™, Engineering AI, Engineering to Elevate Life™, Enterprise Platforms AI, Data & Insights AI, Experience AI, GCC AI, Operations AI, Platform Engineering AI, Product AI, and Quality Engineering AI are trademarks or service marks of Ascendion®. AAVA™ is pending registration. Unauthorized use is strictly prohibited. Ascendion | Engineering to elevate life We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us. About the Role We are seeking a talented Data AI Engineer to build scalable data solutions for online investing platforms, client behavioral analytics, financial product insights, and risk mitigation. The role involves developing secure cloud-based data pipelines and supporting GenAI data platforms, including Vector Database integration for RAG-based applications. Key Responsibilities Design and build ETL/ELT pipelines and data processing workflows Develop batch and real-time data pipelines using modern frameworks Work with Python and SQL for data transformation and analytics Implement GenAI data architectures, including RAG pipelines and vector indexing Manage and optimize Vector Databases for embedding storage and similarity search Build secure data solutions on AWS, ensuring data quality and compliance Support analytics, reporting, and data modernization initiatives Minimum Qualifications Bachelor's degree in Computer Science, Engineering, or related field 2+ years of experience in data engineering or related roles Strong proficiency in SQL and Python Experience with AWS, Apache Spark, and data warehousing technologies Desired Qualifications Master's degree in a relevant field Strong experience in Python and SQL Hands-on experience with ETL/ELT and data pipelines Experience with Vector Databases Experience with GenAI / LLM frameworks (LangChain or LangGraph) Experience with Big Data frameworks (Apache Spark, Apache Kafka) Workflow orchestration using Apache Airflow Experience with data platforms like Databricks or Snowflake AWS services: S3, Glue, Redshift Location Jersey City, NJ Salary and Other Compensation The annual salary range for this position is between $75,000 and $98,000 depending on geography/market, skills, education, experience, and other qualifications of the successful candidate. Benefits The company offers the following benefits for this position, subject to applicable eligibility requirements: medical, dental, and vision insurance; 401(k) retirement plan; long-term and short-term disability insurance; paid time off, including vacation, sick leave, and holidays; parental leave; tuition reimbursement program; and access to Ascendion Learning Management System. #J-18808-Ljbffr