Python Job: Data Engineer

Spiff (https://spiff.com), recently named one of the most innovative Fintech companies, is on a mission to inspire, enable, and reward peak business performance. Why? Commission plans are used by modern companies to reward and drive good behavior using more advanced rules or combinations of rules such as quota attainment, accelerators, and other types of variable earnings. Great Commission plans motivate Salespeople to sell more to the right companies. In order to help companies and reps to reach their full potential, we take the manual labor and complexity of current commission processes and completely automate them. Finance teams used to spend hours each month trying to prepare commissions, communicate them to their reps, deal with discrepancies, and then get those paid on time. Spiff automates that full process. We connect to the client's systems; CRM, ERP & Payroll to reduce the work and amount of errors. Spiff gives powerful, real-time data and insights to reps, managers, and executives about their commissions.

Who we are looking for...

We’re looking for an awesome Data Engineer to join our growing team and help us deliver intuitive and delightful experiences to our customers. This is a remote job; we will consider candidates based in the US or in Argentina.

As a Data Engineer, you will design and build data pipelines that support data science product features into our core application. These pipelines will be well tested and scalable to meet both streaming and batch processing of data, so that we can provide useful insights and predictions from complex systems. The data engineers at Spiff enjoy the challenge of creating something new that can be relied on in terms of data quality as well as ease of integration throughout the organization .

What you’ll contribute in this role…

• Work alongside our Data Scientist and other Data Engineers to help make use of the data Spiff collects and creates

• Create pipelines starting with Data Warehouse, apply logic/algorithms, and deliver results to the desired destination

• Identify ways to improve data reliability, efficiency, and quality

• Deploy sophisticated analytics programs, machine learning, and statistical methods

• Work within the Agile framework to manage team progress towards key results

  
  

What experience you’ll bring to Spiff…

Experience or interest in the following areas would be especially helpful

• 3-5 years of experience as a Data Engineer (beyond Data/BI Analysts).

• Cloud architecture experience (Google Cloud Platform preferably, AWS, Azure)

• Strong Python coding skills with a demonstrated ability to code, test and deploy independently.

• Experience building production grade code to handle process/manipulate large scale data (Apache Beam/ Dataflow, workflow orchestration, cloud deployment)

• Strong notions on System Architecture, connecting various independent systems

• Knowledge of how Data moves (Stream vs Batch, methods to send data through services, Data Collection, storage, access and analytics at scale)

• Experience or strong notions on using Data at scale

• Build and maintain ETL processes for large scale data

• Familiarity with databases (Postgres, MySQL, etc)

  
  

Bonus Points

• You find yourself learning new technologies because they are interesting to you

• Background in enterprise software development or deployment

• Interest in Startups/Tech/Finance. Our team loves the startup community, and a genuine interest in the space is huge.

• You’ve worked at a rapidly growing startup, especially early stage

  
  

What types of perks and benefits we offer…

• Competitive Salary and Equity
• Health Benefits
• Remote First & Friendly Company

Come join the best team in the space! We’re building amazing software to solve a massive sales and finance gap, and you’ll be a major part of our success.

At Spiff, we're committed to building a diverse and inclusive organization that reflects the ever-changing world around us. We strive for an equitable workplace where everyone feels welcome regardless of gender identity or sexual orientation; race or ethnicity; age; physical ability; socio-economic status; religious beliefs; political views or affiliations; or any other factor that can be used to make someone feel excluded from the workplace experience.

Our unwavering commitment to this mission is founded on the idea that varied perspectives drive innovation.

We know that fostering a diverse and inclusive team has a positive impact on our products and services, and helps us better serve our customers, employees, and community stakeholders. That's why we're building a culture where differences are celebrated and an environment where people from all backgrounds are treated with respect and given the freedom to be their authentic selves