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Data Engineer - Hybrid:

Data Engineer – Hybrid:

Our direct client, a fast-growing FinTech firm in New York City, is looking for a Data Engineer to join the team, who can help build the infrastructure to make data a central part of the firm’s business.  Data driven decisions are very critical for the business, as a result, we are looking for engineers that will not only be able to use the data but also understand it and help make actionable decisions. Data Engineers quickly grasp complex and fluid business problems and solve them with robust and creative analyses after having built highly performant and highly scalable infrastructure to warehouse the data. If you love using the latest technologies, working on creative software projects, and/or thinking about innovative new business plans in your spare time, read on.

3 days onsite work in the NYC midtown office is expected with some flexibility.  Base salary is in the $120-150K range DOE, plus generous bonus and stock options. 

How You Will Fulfill Your Potential

  • Leverage open-source technologies and cloud solutions to build elegant features that our platform users love
  • Develop and automate large scale, high-performance data platform infrastructure to drive the business growth and enable data-driven organization
  • Design and develop reusable components and frameworks for ingestion, cleansing, and data quality
  • Streamline the ingestion of raw data from various sources into our Data Lake and Data Warehouse
  • Design data models for optimal storage and retrieval that represent the product entities and meet business requirements
  • Coordinate closely with sales and product development teams daily to push firm’s strategy and improve the overall profitability

What We’re Looking For

  • Bachelor’s Degree in Computer Science, Data Science, Mathematics, Statistics or other quantitative area or related field
  • 5+ years of experience with open-source technologies or object-oriented/functional programming, strong ability to write easy-to-scale, high-quality code
  • Experienced in at least 1 numeric research framework (python/pandas, R/Splus, Octave/Matlab)
  • Familiarity with OLAP (Redshift, Snowflake) and OLTP (PostgreSQL, MongoDB) databases.
  • Familiarity with various database designs (Relational, Columnar, NoSQL)
  • Some background in probability/statistics
  • Detail-oriented, ability to multitask and work in a fast-paced environment
  • Ability to work independently while also being a strong team player
  • Excellent written and verbal communication
  • Passionate about programming and cutting-edge technologies

Preferred Qualifications

  • Master’s in Computer Science, Data Science or related field
  • Professional experience with Python and JVM based languages such as Scala, Java, and Kotlin
  • Experience building data-pipelines, data-lakes and data warehouses.
  • Good knowledge of financial markets and financial instruments
  • Experience with AWS solutions such as Lambda, S3, Kinesis, ElastiCache
  • Familiarity with AWS and infrastructure-as-code (terraform or cloud formation)
  • Familiarity with the use and restrictions of PII data for analysis, research, development, and testing
  • Full-time or internship experience as a data engineer in the financial technology industry is a plus

Job ID: 5334

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