Senior Data Engineer

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Position: Senior Data Engineer

Location: Chicago Loop

About Raise

Raise is the largest, most trusted marketplace where our mission is to help consumers make their money worth more. Shoppers can buy discounted gift cards to over 3,000 brands or sell their unwanted gift cards for cash through our mobile applications and website.

Raise partners with retailers to offer a new type of digital payment, and since our launch in 2013, we have saved consumers over $125M to date. Raise is headquartered in Chicago with an office in New York.

About The Position

Raise is looking for a Senior Data Engineer to be part of our Engineering Team. As a Senior Data Engineer, you will be part of the core team that is responsible for empowering the company with data. The position will be working on our transactional, streaming, and analytics platform ensuring the tools and systems are designed for scale to help our engineers, product managers and analysts make better decisions and drive insights with data. The individual has a background in distributed applications, data streaming and NoSQL and SQL databases.

 Responsibilities

  • Select, build and configure solutions that use open source platforms and tools such as Kafka, Nifi, Hive, Map Reduce alongside NoSQL technologies to enable reliable, trustworthy, and approachable data and tune them for performance at scale.
  • Help our analysts and engineers build and optimize data pipelines to understand our large and ever-growing user base and make better decisions.
  • Implement data pipelines to automate the ingestion, transformation, and augmentation of both structured and unstructured data sources, and provide best practices for pipeline operations.
  • Work with Business Analysts, Application Developers and Data Scientists to implement solutions using agile methodologies.

Skills & Qualifications

  • 2+ years of experience in handling large datasets working with a messaging system such as Apache Kafka, Rabbit MQ, or other streaming processing tools with technologies like Spark Streaming or Flink, and NoSQL datastores.
  • 5+ years of high availability, concurrent, large-scale distributed infrastructures
  • 7+ years of strong programming expertise in Java, Python, SQL
  • 3+ years working in a highly collaborative environment
  • Expertise in leading cloud technologies like Amazon Web Services
  • Ability to communicate technical concepts, possibilities, and limitations to a non-technical audience (product managers, designers)
  • Test-driven development experience
  • High attention to detail and constructive attitude in peer code reviews
  • Bachelor’s in Computer Science, Computer Engineering or comparable experience

Benefits

  • Comprehensive benefits package including health, dental, vision, 401(K) with match, disability and life insurance
  • Competitive PTO
  • Raise Gives Back- 8 paid hours allotted annually for volunteer opportunities
  • Pre-tax commuter program
  • Paid parental leave

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Equal Opportunity Employer M/F/D/V

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Location

36 S Wabash , Chicago, IL 60603

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