1743 Remote Web Development jobs in Bayonne, NJ

      New, Posted 1 day ago
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      Senior Application Developers

      ADP Technology Services

      Roseland, NJ 07068

      ~ 31 min OnsiteUrgently Hiring

      • ADP will also accept a master's deg + 3 yrs of rel'd exp
      • Bach's deg in Comp Sci, Comp Engg, Info Sys, or a rel'd field + 5 yrs of rel'd exp req
      • 3 yrs of exp must incl: Java, J2EE; Java spring boot; SOA; OOAD; OOP; Angular; Typescript/Javascript; Eclipse; Spring Tools; VSC IDE; ORMs, incl. MyBatis; Restful & SOAP-based web servcs, incl. JSON & XML; Unit tstng frwks, incl. Junit & Jest; SQL Data Store-MySQL; AWS RDS; Python; Kubernetes; Jenkins CI/CD frwk; PyCharm IDE; Docker
      SmartExplore AI is experimental.
      New, Posted 20 hours ago
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      Retention Representative - Entry Level

      EchoStar

      Newark, NJ 07102

      $20.50/hr
      ~ 20 min OnsiteUrgently HiringBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

      • Employment is contingent on successful completion of a pre-employment screen, to include a drug test and an acceptable driving record
      • Smartphone/device with active network connection
      • Must have competitive spirit, determination, resilience, persuasive personality, growth mindset, and operate with integrity
      • On-site; hours may include evenings, weekends or holidays
      • 100% inbound calls from new and existing customers; No outbound, no cold calling
      • Base Pay: $43,000/yr
      • High school diploma/GED required
      • Pre-employment screen
      • On-Target Earnings: $70,000($20.50/hr with uncapped commission, top earners $100k+)
      SmartExplore AI is experimental.
      New, Posted 1 day ago
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      Principal Quant Developer

      Fidelity Investments

      Secaucus, NJ 07094

      Hybrid~ 22 minEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

      • Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
      • Skilled in Batch and API technologies: such as batch scheduling (using Autosys and Airflow) and create REST APIs (using FAST API and Flask) leveraging AWS resources including Lambda, S3, EKS and EC2.
      • Thoughtfully apply advanced analytics and quantitative concepts to support investment needs and develop new solutions.
      • Domain knowledge in either equities, fixed income or alternative asset classes
      • Deep understanding of quantitative techniques and methods, statistics and econometrics – including probability, linear regression and time series data analysis
      • Experience implementing CI/CD and DevOps best practices. Perform Continuous Integration (CI) and Continuous Deployment (CD) pipelines (using Linux and Jenkins), code versioning using GitHub.
      • Demonstrated knowledge of mathematics, statistics, and quantitative finance
      • Lead the implementation of a research project through the entire software development lifecycle using a full-stack implementation.
      • Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
      • A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field and six (6) years of experience as a Senior Quant Developer or similar role.
      • Expert in Python with experience across the development stack (full stack)
      • Alternatively, a Master's degree (or equivalent foreign education) in the same fields, accompanied by four (4) years of experience as a Lead Quantitative Development or similar role.
      • A creative problem solver and a curiosity fueled by keeping up with advanced methodologies and industry trends, especially in the finance community
      • Exposure to object-oriented programming (OOP) and design patterns
      • Analyze and design systems to implement quantitative models for systematic financial investments using R and Python. This includes developing time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms to build investment strategies.
      • This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques.
      SmartExplore AI is experimental.

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