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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # JSON Loans Power BI - **Company:** CareerCircle - **Location:** Kearny, NJ, United States - **Salary:** $74,000.0 - $124,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Apache HTTP Server, Microsoft Azure, Cloud Computing, Data Cleansing, Information Engineering, Data Governance, Data Structures, Data Systems, Data Visualization, R (Programming Language), JSON, Python (Programming Language), Machine Learning, Power BI, Tensorflow, Standard Sql, Systems Integration, Tableau (Software), Extensible Markup Language (XML), Lexis, Parquet, Feature Engineering, Pytorch, Model Validation, Scikit Learn, Data Analytics, Looker Analytics, Databricks, Programming Languages - **Published:** September 24, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/ny/new-york/70375914-cffd-4f7e-9f53-779aade1d35d ## About the Role * Bachelor's degree from an accredited college/university * Based on our contractual obligations, candidate must be located within the United States and US Citizen * Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST" * 1 years of experience in data analytics, data engineering, or data science (6 months of relative intern experience may be used as part of the 1 years required experience) * Strong proficiency and development experience in Python and SQL * Proficiency working with various data structure formats (CSV/TXT, JSON, XML, Parquet, etc.) * Experience with data visualization tools (PowerBI, Tableau, Looker, etc.) * Exposure to cloud platforms (AWS, Azure, or GCP) * Strong analytical, problem-solving, and communication skills * Preference will be given to candidates located in the DMV * Travel will be 25-50% for candidates not located in the DMV What Would Be Nice to Have: * Familiarity with R a plus * Exposure to ML libraries (scikit-learn, TensorFlow, PyTorch) * Experience building fraud and/or fincrime monitoring rules in one or more programming languages * Hands-on experience developing, testing, and validating machine learning and other AI models at scale * Experience with platforms such as Databricks or Palantir * Consulting, healthcare, financial services, or public sector experience * Federal Agency experience * LexisNexis product API integration experience ## Description Loans Power BI, Dashboard Consulting Databricks TensorFlow Data Science Communication Data Analysis Apache Parquet Responsible AI Microsoft Azure Data Structures Data Governance Machine Learning Looker Analytics Data Engineering Financial Services Data Visualization Data Preprocessing Amazon Web Services Feature Engineering Business Requirements API System Integration Artificial Intelligence R (Programming Language) Python (Programming Language) Ethical Standards And Conduct Extensible Markup Language (XML) PyTorch (Machine Learning Library) Tableau (Business Intelligence Software), The AI/Data Consultant supports the design, development, and delivery of data-driven and AI-enabled solutions for clients. This role focuses on hands-on analytics, data engineering, and applied AI use cases while building consulting, client-facing, and technical fundamentals., * Support development of AI and data solutions including analytics pipelines, dashboards, and basic machine learning models * Develop, test, and tune fraud and FinCrime prevention and detection rules in a variety of programming languages * Analyze structured and unstructured datasets to generate actionable insights * Assist in data preparation, feature engineering, and model validation * Translate business requirements into technical specifications under guidance * Contribute to client deliverables, documentation, and presentations * Collaborate with data engineers, data scientists, and business stakeholders * Apply responsible AI, data governance, and security principles in delivery ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Detecting Money Laundering with AI](https://www.wearedevelopers.com/videos/111-detecting-money-laundering-with-ai) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [13 AI Tools You Have to Try](https://www.wearedevelopers.com/magazine/219-13-ai-tools-you-have-to-try)