Data Engineer

Voloridge-posted 3 months ago

Full-time • Mid Level

Jupiter, FL

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Voloridge Investment Management is an award-winning, rapidly growing quantitative investment management firm based in Jupiter, FL. Our quantitative systems are fundamentally dependent on quality data. The Data Engineer must understand the many different and evolving use cases for data at Voloridge and design systems that supply a variety of data sets for advanced analytics.

Collaborate effectively with Stakeholders, Project Managers, Software Engineers, Data Architects, Data Analysts, QA Analysts, DBAs and other Data Engineers
Build and maintain data pipelines based on functional and architectural specifications
Ensure that data pipelines incorporate best practices related to high performance, fault tolerance, instrumentation, logging and data driven functionality
Ensure that data pipelines are scalable, maintainable, extensible, and not overly engineered
Produce and maintain engineering and operational documentation
Analyze complex data problems and engineer elegant solutions
Develop and maintain knowledge expertise in current technology stack
Stay abreast of emerging technologies, make relevant recommendations, and participate in technology modernization projects
Work in an Agile SDLC environment
Participate in engineering standards and best-practices evolution
Participate in an 24x7 on-call rotation
Assist Data Analysts in troubleshoot data issues
Be able to work daily onsite in our Jupiter, FL office

5+ years of experience building ETL/ELT data pipelines using on-premises SQL Server 2017 Enterprise Edition, or newer
Proficient understanding of relational data modeling
Good TSQL performance tuning skills
Experience writing both historical and incremental ETL/ELT data pipelines
Solid understanding of traditional Agile SDLC best practices, ceremonies, and tools
Solid understanding of source control concepts (such as branching, feature branches, pull requests) and tools (such as GitHub, BitBucket, Azure DevOps)
Experience writing Python
Experience writing PowerShell
Experience building data pipelines using third-party external data sources
Experience working on a team of 3 or more data engineers
Experience being responsible for the mission critical data solutions
Strong initiative, collaboration, accountability, impartiality and communication
Bachelor’s degree in Computer Science, Information Systems, related discipline, or equivalent experience

Experience writing ETL/ELT which leverages data change detection technologies, such as SQL Server Change Tracking and/or Change Data Capture
Experience using Python libraries such as Polars, Pandas, Numpy, CSV, TraceBack, JSON, PyODBC, TurbODBC, Math
Experience with cloud-based data management solutions such as Snowflake, Redshift
Experience working with DevOps functionality such as CI / CD
Experience working with trading / financial / investment / accounting data
Experience using productivity tools such as Red Gate and SentryOne
Experience with open-source database engines such as Clickhouse, ArcticDB, PostGreSQL
Experience writing design documentation such as ERDs, Data Flow Diagrams, Process Flow Diagrams
Experience writing operational documentation such as Run Books
Experience collaborating with project managers, QA testers, and end-users
Master’s Degree in Computer Science, Information Systems, or related discipline

Highly competitive base salary
Profit sharing bonus
Health, dental, vision, life, and disability insurance
401K

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