> Markdown version of [/jobs/ext/2057883-data-engineer-fintech](https://www.wearedevelopers.com/jobs/ext/2057883-data-engineer-fintech). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer (FinTech) - **Company:** Amtex System - **Location:** Princeton, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Bash Shell, Big Data, C++ (Programming Language), Databases, Extract Transform Load (ETL), Relational Databases, Database Models, Linux, Markup Languages, Apache Hadoop, JSON, Python (Programming Language), PostgreSQL, Machine Learning, MySQL, NoSQL, Performance Tuning, Unstructured Data, Extensible Markup Language (XML), YAML, Data Processing, Scripting, Sql Optimization, Large Language Models, Snowflake, Apache Spark, Information Technology, Data Analytics, Apache Kafka, Nintex, Data Pipelines - **Published:** August 14, 2026 - **Apply:** https://www.dice.com/job-detail/fd63dc7b-375a-4085-a1a1-3bb3ed7555de ## About the Role * Experience with FinTech/Financial services clients * Python * AWS * Advanced SQL * ETL Design & Implementation * Relational Databases (MySQL, PostgreSQL, and Snowflake, etc.) * Linux/UNIX & Bash Shell Scripting, * Education: Minimum of a Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree / M.B.A. preferred). * Experience: 5+ years of hands-on experience building ETL pipelines, data processing systems, and large-scale data analytics solutions. Core Technical Stack: * Strong expertise in Python (and/or C++). * Strong expertise in AWS cloud environments. * Advanced SQL and performance tuning. * Experience with relational databases (MySQL, PostgreSQL, Snowflake, etc.). * Strong proficiency in Linux/UNIX and Bash shell scripting. * Data Processing: Significant experience handling large volumes of structured and unstructured data from diverse sources; familiarity with markup languages (JSON, XML, YAML). Preferred / Nice-to-Have Skills: * Experience with NoSQL and Time Series (OneTick) databases. * Familiarity with AI/ML technologies (LLM-based agents, AWS Bedrock, n8n workflow automation). * Knowledge of market data protocols (FIX, exchange order books). * Experience with Big Data frameworks (Spark, Kafka, Hadoop ecosystem). * Prior mentorship or technical guidance provided to junior engineers. * Background in the financial sector. ## Description We are seeking a Senior Data Engineer to join our team in Princeton, NJ. In this role, you will lead the design, development, and implementation of robust ETL solutions, advanced data models, and scalable business intelligence systems. You will collaborate closely with Quantitative, Risk, and Business stakeholders to analyze requirements, build enterprise datasets, and deliver high-performance data analytics platforms that drive core business strategy., * Requirements & Architecture: Gather technical and business requirements, defining concepts, information needs, and database models to build enterprise-grade analytics solutions. * ETL & Data Pipelines: Hands-on development of ETL pipelines, internal/external data feeds, and reporting infrastructure. * Analytics & Surveillance: Build surveillance patterns and deep analytics processing solutions against large-scale data stores. * Data Modeling: Design and implement data models, reports, visualizations, and analytics frameworks to support dynamic business intelligence capabilities. * Stakeholder Collaboration: Partner directly with Quantitative, Risk, and Business teams to develop enterprise datasets and client-facing data products. * Production Support: Maintain and support critical production systems, including off-hours support when necessary. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [CI/CD with Github Actions](https://www.wearedevelopers.com/videos/856-ci-cd-with-github-actions) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)