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Engineers who find a new job through Functional Works average a 15% increase in salary 🚀

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Haskell Engineer

Remote within
  • EST (-3/+3 hours)

17 November, 2021

Compensation

$120K - 150K + Equity

Remote within

    Timezones
    • EST (-3/+3 hours)

    Contract type

    Full time
    Remote working

    Technologies & frameworks

    • SQL
    • Haskell
    • PostgreSQL

    Benefits & perks

    • Remote working
    • Health insurance
    • Unlimited vacation
    • 401(k)
    • Promote from within
    • Flexible schedules
    • Stock options
    • Dental / vision
    • Maternity & paternity leave
    Building an intelligent query engine to better connect financial datasets with quant investors

    Role overview

    Responsibilities

    • Collaborate in the design, implementation, deployment, and maintenance of business-critical software
    • Optimize the performance of our data analytics DSL and implement new language features 
    • Design and implement data models, runtime DB queries, migrations and backend application logic
    • Capture and analyze system logs and performance metrics from production environments to diagnose and solve issues
    • Work with with customer support team in responding to issues and answering client questions

    Qualifications

    • We don't believe in hard and fast hiring criteria because great candidates can come from all backgrounds, but here are some attributes that we frequently find useful for the kinds of engineering problems that we work on:
    • Self-starters who prioritize delivering working software solutions to real world problems and are comfortable with aggressively prioritizing and cutting out distractions to achieve the biggest impact amidst competing concerns
    • Several years of commercial software experience with Haskell or other functional languages being a significant plus
    • Strong working knowledge of SQL and an ability to use it to gain business insights from large datasets (familiarity with financial data a significant plus)
    • Experience designing and implementing production DSLs
    • Ability to collaborate cross-functionally with other teams responsible for client interactions, devops & monitoring, etc
    • 10-49
    • Red Bank, NJ, US

    Investment managers across the globe are struggling to integrate and utilize multiple data sources in their investment research process. This data wrangling is crippling investment research efforts to generate alpha - an unacceptable state in today’s competitive marketplace. We are experts in automating data management, programmatically generating real-time data queries, and providing intuitive tools for data access for portfolio managers, researchers, analysts, and data scientists. With accurate and efficient data access, your team can spend drastically less time on data management, and much more time on revenue-generating work. Our staff of data engineers and investment practitioners have spent the last 8 years building a technology platform that provides researchers with access to a normalized, concordant version of their disparate data sources - meaning from any vendor, instrument, or asset class, whether the data is externally sourced or internally derived. Your investment team can explore and extract their desired data using our intuitive tools, including a comprehensive data catalog, or our API functionality. This data is then delivered neatly packaged into any analytic endpoint, such as Jupiter Notebooks, BI tools, data virtualization platforms, or into our own built-in analytic environment. This drastically increases workflow efficiency. For example, one major asset manager improved processing time from 8 hours to 13 minutes for a dense data analytics request saving over $400k per year. Designing technology to ‘automate’ this process is extremely difficult. It requires uniting two areas of expertise - functional programming expertise to create an intelligent query engine, and financial data expertise to embed the business logic of the data into this engine. In essence, we designed an intelligent AI-powered engine that dynamically interprets a user’s data requests, generates optimized queries in real time, and applies the necessary math/logic to deliver ready to analyze data without any pre-processing requirements.

    View 1 job
    Engineers who find a new job through Functional Works average a 15% increase in salary.

    Compensation

    $120K - 150K + Equity

    Remote within

      Timezones
      • EST (-3/+3 hours)

      Contract type

      Full time
      Remote working

      Technologies & frameworks

      • SQL
      • Haskell
      • PostgreSQL

      Benefits & perks

      • Remote working
      • Health insurance
      • Unlimited vacation
      • 401(k)
      • Promote from within
      • Flexible schedules
      • Stock options
      • Dental / vision
      • Maternity & paternity leave

      Get hired!

      Sign up now and apply for roles at companies that interest you.

      Engineers who find a new job through Functional Works average a 15% increase in salary.

      Start with GitHubStart with Stack OverflowStart with Email

      Get hired!

      Sign up now and apply for roles at companies that interest you.

      Engineers who find a new job through Functional Works average a 15% increase in salary.

      Start with GitHubStart with Stack OverflowStart with Email

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