Position: 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 $100M to date. Raise is headquartered in Chicago with an office in New York.
About The Position
Raise is looking for a Data Engineer to be part of our Engineering Team. As Data Engineer, you will be part of the core team that is responsible for empowering the company with data. The position will focus on designing and scaling our streaming data platform and helping 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
- Build and configure solutions that use Apache Kafka alongside stream processing, relational and 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 Apache Kafka, streaming processing with technologies like Spark Streaming or Flink, and NoSQL datastores.
- 5+ years of high availability, concurrent, large-scale distributed infrastructures
- 5+ 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
- Knowledge of statistical algorithms for data analysis.
- 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
- Minimum 15 days PTO plus 11 paid holidays
- Raise Gives Back- 8 paid hours allotted annually for volunteer opportunities
- Pre-tax commuter program
- Paid parental leave
- $5,000 adoption credit
- Breakfast and healthy snacks provided every day and catered lunch on Fridays
Apply Today
Equal Opportunity Employer M/F/D/V
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