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Senior Data Software Engineer

Senior Data Software Engineer

Location: Baltimore, MD


Job Description:

We are seeking candidates for a Senior Data Software Engineer opportunity for one of our Financial Clients in the Baltimore market.  We are looking for an accomplished Senior Engineer who is committed to building and supporting data pipelines that are used by our client’s Global Investment Risk team. This is a hands-on role and the ideal candidate is someone who is passionate about data, reporting, and has a strong desire to create best in class enterprise solutions. This team will have team members in Baltimore and London England.


Our client has made a big investment into the future of our technology and data. We have a big vision of what we can achieve and have ambitious plans to get there. Our client holds collaboration as a core tenet of how they accomplish their goals. You should be interested in a team-oriented approach; curious and enthusiastic learners.  They are a group of diverse thinkers, all working together to with different perspectives to create optimal solutions to continue to propel our client to great heights. 


You must demonstrate a willingness to overcome technical challenges in a fast-paced environment. The role will provide architecture, design, and implementation expertise to a cross-functional team. You will play a key role in supporting and modernizing the legacy Microsoft stack and platform into a modern platform that leverages AWS.


Core Attributes:

  • High achiever who combines ambition with humility and is happy to let their performance do the talking   
  • Leadership: Maintain high standards and help to create an environment where people can do their best work 
  • Craft-like approach to building software; takes pride in engineering excellence and instills these values within the team and others
  • A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review or pairing, unit testing, refactoring and related approaches 
  • Excellent problem-solving and critical-thinking skills; demonstrated ability to employ fact-based decision-making to resolve complex problems, by applying experience and business knowledge
  • Possess a passion for technology and staying sharp in your craft by keeping on top of new technologies, tools and trends
  • Strong interpersonal skills; able to establish and maintain a close working relationship with Portfolio Managers, Quantitative researchers, Analysts and senior business people alike 
  • High energy, a results-driven person with strong interpersonal skills with the ability to work well with global teams, including time-zone flexibility
  • Ability to thrive in a complex, fast-paced, and highly technical environment


  • Collaborate with your engineering manager to enable a fit-for-purpose application portfolio consistent with the target architecture and operating model
  • Come up with innovative ways to enhance our systems and to make our data-related processes more efficient 
  • Participate in time-sensitive projects, and collaborate with your global colleagues to deliver new initiatives 
  • Enable improvement of the engineering team through the shaping of tools, processes, and standards
  • Produce comprehensive, usable dataset documentation and metadata
  • Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers
  • Ensure the validity and accuracy of security-level analytics and risk exposures within the portfolio management and analytics systems, driving consistency and transparency
  • Devise innovative ways to enhance our systems and to make our data-related processes more efficient 



  • 7+ years of progressive engineering experience with 2+ years related to data engineering, microservices, frameworks and/or platform development
  • 5+ years of coding experience and solid working knowledge of at least one language such as C# or Java
  • 5+ years of business systems analysis or experience working with data and analyzing data
  • Experience designing and delivering frameworks focused on data pipelines, data catalogs, data distribution, and/or advanced analytics
  • Proficient with a range of open-source frameworks and development tools -. .Net Framework (Standard/ Core), AWS Lambda and Step Functions, SNS, SQS, S3, NoSQL databases, Git/ Unity, Angular/Backbone/ReactJS etc.
  • Knowledge of reporting and ETL tools such as SSRS, Informatica, etc.
  • Experience of front office software development with an Asset Management, Hedge fund or Investment Bank
  • Solid working knowledge of Risk analytics platforms (e.g. MSCI, Bloomberg PORT, Barclay’s POINT) and derivatives
  • Experience building containerized applications and deploying to public or private clouds, such as Amazon Web Services (AWS) or similar providers.
  • Open source involvement such as a well-curated blog, accepted contribution, or community presence



Strong academic record and BA/BS in Computer Science, Math, Engineering or related technical degree.

Job Features
Job Category Senior Data Software Engineer
Duration 24 Months
Job Location Baltimore, MD

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