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A financial firm is seeking a Senior Analytics Engineer in Jersey City, NJ, to design and develop next-generation equity and credit analytics platforms. The role involves working with business partners to understand data requirements, designing and maintaining data pipelines, and developing robust quality control. Candidates need strong backend database skills, proficiency in Python or Java, and expertise in integrating risk and quantitative models. This position requires 10 years of experience in application design and data architecture, with a focus on finance industry experience.

<h1 class="text-3xl md:text-4xl font-extrabold mt-6 mb-4 text-gray-900 tracking-tight">Senior Analytics Engineer</h1><p class="my-4 text-gray-700 leading-relaxed">A financial firm is looking for a <strong>Senior Analytics Engineer</strong> to join their team in Jersey City, NJ.</p><p class="my-4 text-gray-700 leading-relaxed">_Compensation: $150-170K</p><p class="my-4 text-gray-700 leading-relaxed">US Citizens/GC Holders Only; No visa sponsorship</p><p class="my-4 text-gray-700 leading-relaxed">5 days onsite - Candidates must be local_</p><p class="my-4 text-gray-700 leading-relaxed"><em>Domain experience preferred, finance experience required</em></p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Responsibilities:</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Design and develop next-generation equity and credit analytics platforms.</li><li class="leading-relaxed">Work closely with business partners and analysts to understand data requirements and analyze and design the necessary data pipeline and database design.</li><li class="leading-relaxed">Design, implement and maintain data pipelines that can efficiently and reliably ingest and store data from a variety of internal and external sources.</li><li class="leading-relaxed">Develop robust quality control processing, monitoring, and workflow dashboards.</li><li class="leading-relaxed">Proficient in handling backend database work, well-versed in Python or Java, with the expertise to process and load data seamlessly into databases.</li><li class="leading-relaxed">Integrate risk and quantitative models.</li><li class="leading-relaxed">Simplify and automate existing manual data processes.</li><li class="leading-relaxed">Provide support for overnight batch jobs.</li><li class="leading-relaxed">Participate in strategic discussions.</li><li class="leading-relaxed">Work closely with a team of frontend and backend engineers, product managers, and analysts.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Qualifications:</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Bachelor's or master's degree in computer science, Engineering, Physics, Math, or related work experience.</li><li class="leading-relaxed">10 years of expertise in application design, coding, testing, maintenance, and debugging.</li><li class="leading-relaxed">Experience creating and maintaining Conceptual, Logical, and Physical data models.</li><li class="leading-relaxed">Experience in building data pipelines, designing data models, and architecting data systems from the ground up.</li><li class="leading-relaxed">Skilled in developing Python APIs and writing code for loading and processing data.</li><li class="leading-relaxed">Experience in writing complex SQL queries, stored procedures, functions, and query optimization performance tuning.</li><li class="leading-relaxed">Strong proficiency in Java, REST, Microservices, Spring Boot, and API gateway.</li><li class="leading-relaxed">Experience working with various cloud technologies, including AWS, Azure, GCP, Snowflake, Spark, and their associated tools.</li><li class="leading-relaxed">Ability to identify opportunities to reuse data and reduce redundancy across the enterprise.</li><li class="leading-relaxed">Experience with Git/GitHub.</li><li class="leading-relaxed">Experience with DevOps tools like Jira, Confluence, and CI/CD pipelines (Jenkins).</li><li class="leading-relaxed">Experience with messaging technologies such as Kafka, as well as queuing technologies and other related tools.</li><li class="leading-relaxed">Must be willing to take full ownership of projects, covering discovery, analysis, technical design and implementation, testing, and deployment tasks.</li><li class="leading-relaxed">Strong communication skills; comfortable working closely with senior quantitative analysts, risk analysts and business partners.</li><li class="leading-relaxed">A strong desire to document and share work done to aid in long term support.</li><li class="leading-relaxed">Experience working in the finance industry.</li><li class="leading-relaxed">Experience with market data vendors - Bloomberg, Markit, ICE/Client, S&P, Moodys, Fitch, Russell, Intex, JPM, Factset, State Street, CRD, and Yieldbook.</li><li class="leading-relaxed">Experience working on distributed system and handling & processing of large-scale data (trades, risk, market data etc).</li><li class="leading-relaxed">Knowledge of fixed income analytics for asset types such as corporate bonds, Treasuries, Derivatives, Sovereigns, Bank Loans, MBS, ABS, and CLO.</li><li class="leading-relaxed">Proficient in managing foundational data, including security master, entity master, and account master.</li></ul>

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As a Data Engineer at Bizee, you will be responsible for building the core data infrastructure, including designing and implementing data pipelines, creating the Master Data Repository (MDR), integrating various business systems like NetSuite, and ensuring high data quality. This hands-on role involves daily coding, owning pipelines end-to-end, and leveraging AI coding tools to accelerate development and solve complex data challenges, directly impacting finance, product, and AI initiatives.

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<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About Bizee</h3><p class="my-4 text-gray-700 leading-relaxed">Bizee (formerly Incfile) has helped over 1 million entrepreneurs start and run their businesses. We are transforming from a transaction-focused formation business to an AI-powered operating system for entrepreneurs.</p><p class="my-4 text-gray-700 leading-relaxed">We champion the everyday entrepreneur. We believe in self-determination, grit, and earned success. No fluff, no jargon, no pretense. We work hard, ship fast, and let our products speak for themselves.</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What Makes Working Here Different</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed"><strong>Build the Data Foundation:</strong> You are not maintaining legacy pipelines. You are building the Master Data Repository that powers AI, analytics, and business operations.</li><li class="leading-relaxed"><strong>Real Complexity:</strong> 50+ state jurisdictions, hundreds of thousands of customers, compliance data that changes constantly. Your pipelines will handle real-world messiness.</li><li class="leading-relaxed"><strong>AI-Native Development:</strong> We use Claude Code across engineering. You will build data pipelines faster than you thought possible.</li><li class="leading-relaxed"><strong>Business Impact:</strong> Your work directly enables Finance reporting, Product analytics, AI recommendations, and operational efficiency. Data is not a support function here.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">The Role</h3><p class="my-4 text-gray-700 leading-relaxed">As a Data Engineer, you will build the data infrastructure that powers Bizee. You will design and implement data pipelines, build the Master Data Repository (MDR), integrate with NetSuite and other business systems, and ensure data quality across the organization.</p><p class="my-4 text-gray-700 leading-relaxed"><strong>This is a hands-on building role. You will write code every day.</strong> You will own pipelines end-to-end: from source integration to transformation to serving analytics and AI systems. You report to the Technical Lead, Data Platform and work closely with Finance, Product, and AI teams.</p><p class="my-4 text-gray-700 leading-relaxed">This is a hands-on, AI-powered engineering role. You use Claude Code to accelerate pipeline development, debug data quality issues, and write transformation logic. If you have not used AI coding tools, you will learn fast here.</p><p class="my-4 text-gray-700 leading-relaxed">Reports to Technical Lead, Data Platform.</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What You'll Deliver</h3><p class="my-4 text-gray-700 leading-relaxed"><strong>In your first year:</strong></p><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed"><strong>Master Data Repository:</strong> Build core MDR entities (customers, orders, entities, compliance state) with 95%+ data quality.</li><li class="leading-relaxed"><strong>NetSuite Integration:</strong> Build reliable data pipelines between operational systems and NetSuite for financial reporting and reconciliation.</li><li class="leading-relaxed"><strong>Analytics Infrastructure:</strong> Enable self-service analytics for Finance, Product, and Operations teams with clean, documented data models.</li><li class="leading-relaxed"><strong>Data Quality:</strong> Implement data quality monitoring, alerting, and lineage tracking supporting SOC-2 compliance.</li><li class="leading-relaxed"><strong>AI Data Foundation:</strong> Build feature pipelines that power AI recommendations and compliance intelligence.</li><li class="leading-relaxed"><strong>Pipeline Reliability:</strong> 99%+ pipeline uptime with automated recovery and clear runbooks.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What You Will Own</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed"><strong>Data Pipelines:</strong> Design, build, and maintain ETL/ELT pipelines from source systems to data warehouse and analytics layer.</li><li class="leading-relaxed"><strong>Master Data Repository:</strong> Build and maintain the single source of truth for core business entities with clear data contracts.</li><li class="leading-relaxed"><strong>System Integrations:</strong> NetSuite, HubSpot, Zendesk, payment processors, and state filing systems. You connect the data dots.</li><li class="leading-relaxed"><strong>Data Quality & Governance:</strong> Monitoring, alerting, lineage, and documentation. You ensure data is trustworthy.</li><li class="leading-relaxed"><strong>Analytics Enablement:</strong> Build data models and transformations that enable business users to answer their own questions.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What We're Looking For</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed"><strong>Data Engineering Experience:</strong> 2-5+ years building data pipelines in production. You have owned pipelines end-to-end.</li><li class="leading-relaxed"><strong>SQL Mastery:</strong> You think in SQL. Complex joins, window functions, and query optimization are second nature.</li><li class="leading-relaxed"><strong>Python Proficiency:</strong> You write clean, maintainable Python for data pipelines, transformations, and tooling.</li><li class="leading-relaxed"><strong>Modern Data Stack:</strong> Experience with tools like dbt, Airflow, Snowflake, BigQuery, Fivetran, or similar. You know the ecosystem.</li><li class="leading-relaxed"><strong>ERP/Business Systems:</strong> Experience integrating with NetSuite, Salesforce, HubSpot, or similar business systems is a strong plus.</li><li class="leading-relaxed"><strong>AI Tool Adoption:</strong> You use (or are eager to use) AI coding tools like Claude Code to accelerate your work.</li><li class="leading-relaxed"><strong>Data Quality Mindset:</strong> You care about data accuracy, completeness, and timeliness. You build monitoring before someone asks.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What Will Make You Stand Out</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">You have built MDR or data warehouse solutions that became the trusted source of truth.</li><li class="leading-relaxed">Direct experience with NetSuite data integration and financial reporting pipelines.</li><li class="leading-relaxed">You have used Claude Code or similar AI tools to build data pipelines faster.</li><li class="leading-relaxed">Experience in compliance, legal tech, fintech, or regulatory-heavy industries.</li><li class="leading-relaxed">You have built data pipelines that power ML/AI systems (feature stores, training data).</li><li class="leading-relaxed">SOC-2 or similar compliance experience with data lineage and audit requirements.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">This Role Is NOT For You If...</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">You prefer dashboards and BI over building pipelines. This is an engineering role.</li><li class="leading-relaxed">You want to work on one narrow slice. You will own pipelines end-to-end.</li><li class="leading-relaxed">You are not comfortable with ambiguity. Source systems are messy; you figure it out.</li><li class="leading-relaxed">You resist AI coding tools. We expect you to adopt and use them.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What We Don't Care About</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">CS degree (show us your pipelines and SQL skills).</li><li class="leading-relaxed">Big company pedigree (show us what you have built).</li><li class="leading-relaxed">Certifications (show us your problem-solving ability).</li><li class="leading-relaxed">Years of experience (show us your impact and velocity).</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Level Expectations</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Data Engineer: <=5 years experience. You can build and own pipelines with guidance on architecture.</li><li class="leading-relaxed">Sr. Data Engineer (: 5-8+ years experience. You design systems independently and mentor others.</li></ul><p class="my-4 text-gray-700 leading-relaxed"><strong>Interview Note:</strong> We will ask you to walk through pipelines you have built, write SQL live, and discuss how you would approach a real data integration problem. If you use AI coding tools, show us how.</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Benefits</h3><p class="my-4 text-gray-700 leading-relaxed">Available benefits include: Health Care Plan (Medical, Dental & Vision), Life Insurance (Basic, Voluntary & AD&D), Virtual Wellness Resources, Work From Home</p>

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

Data Structures and Algorithms

Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

Programming Patterns

Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

Object Oriented Programming

Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.