1888 Sql Server Developer jobs in Suffern, NY

      Data Architect: Python-Driven Data Solutions & SQL Mastery

      Virtusa

      New York, NY 10025

      Onsite

      • Experience with API development using FastAPI or Django
      • Strong proficiency in Python
      • Data Architect
      • Expertise in relational databases such as Postgres, SQL Server, or MySQL
      • Excellent communication skills
      • Ability to collaborate with cross-functional teams
      • Experience with DevOps concepts
      SmartExplore AI is experimental.
      Sr. Staff AI Server Manufacturing Software Test Developer

      ZT Systems group

      Secaucus, NJ 07094

      $138,000-$184,000/yr
      Education AssistanceHealth InsurancePaid Time OffRetirement Benefit
      Apply Directly
      Senior Quantitative Developer

      Fidelity Investments

      Secaucus, NJ 07094

      Hybrid~ 39 minEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

      • Expert-level software engineering skills in C++, with proficiency in Python, shell scripting, SQL, and Linux (preferably in a command-line environment)
      • Bachelor's degree in a quantitative field such as Financial Engineering, Physics, Applied Mathematics, Computer Science, or a closely related discipline, with at least six (6) years of experience as a Senior Quant Developer or in a similar role
      • Experience with cloud technologies, particularly AWS, and container orchestration platforms such as EKS
      • Experience in quantitative analytics, ideally in the fixed income market, including interest rate modeling and interest rate derivatives
      • Strong skills in quantitative finance, with an emphasis on applying numerical methodologies to financial problems, including finite-difference methods for PDE solvers, tree models, Monte Carlo simulation, and optimization techniques for curve fitting
      • Strong proficiency in object-oriented programming (OOP) principles and hands-on experience implementing design patterns in production code
      • Deep understanding of probability theory, linear regression, and time-series analysis
      • Familiarity with Secure Software Development Life Cycle (SSDLC) practices and implementation
      • Full-stack software development knowledge and critical thinking skills to design optimal solutions for high-performance fixed income analytics
      • Experience implementing CI/CD and DevOps best practices, including Continuous Integration and Continuous Deployment pipelines (using Linux and Jenkins), and code versioning with GitHub
      • Strong presentation and communication skills, with the ability to effectively engage with quantitative researchers and investment professionals
      SmartExplore AI is experimental.
      Recommended
      Apply Directly
      Lead Data Scientist - Spectrum Reach

      Spectrum

      New York, NY 10036

      Urgently Hiring

      • 7+ years of experience in SQL, R or Python programming
      • Expertise with SQL and large datasets, including efficient data transformation and storage at scale
      • Bachelor's degree in computer science, statistics, operations research or equivalent combination of education and experience
      • Solid theoretical foundation in major machine learning models including regression, classification, clustering, neural networks and large language models
      • Command of advanced mathematics including calculus, PDEs, probability and statistics, with ability to independently learn new concepts
      • Effective synthesis and presentation skills for sharing results and recommendations
      • Proficiency with commercial cloud platforms such as AWS, Azure or GCP
      • Demonstrated commitment to expanding skill set and fostering learning within the team
      • 7+ years of experience in data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA or Engineer
      • Experience with multi-series time series forecasting at scale
      • Mastery of R and/or Python for advanced analytics and AI/ML applications
      • Strong understanding of data architecture and data warehousing
      • Ability to communicate complex findings to varied audiences
      SmartExplore AI is experimental.

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