Portfolio Jobs

W​HAT​ ​YOU​’​LL​ ​DO

The Senior Data Engineer at Engine by MoneyLion must be hands on with a broad and deep data skillset who can spearhead multiple concurrent data initiatives to meet business goals and improve existing data processing pipelines. Efforts will mainly be focused around:

• Advising on, designing and developing product enabling data solutions
• Drive product critical, fast cycle POC work
• Oversee productionisation of POC work as needed
• Gain additional insights from available data sets, working with Product/Data Science when appropriate
• Work closely with Product to set requirements as well as extract insights based on business requirements
• Find improvements and help keep the data pipelines in efficient, resilient and well tuned state with the goal of reducing processing related infrastructure efforts and expenses, saving both time and money for the company
• Be a steward of the data ecosystem, getting buy-ins from stakeholders for enhancements and cleanup/organizational improvements of the data throughout the company
• Be the technical partner for non-data-engineering teams (product, data science, platform and the rest of engineering) with their data needs/requirements, actively participating in all phases, from inception of the idea to production release
• Derive efficient approaches to meet business/product goals for data as well as general engineering efforts
• Participate in the conversion of POC work into scalable, maintainable and performant production ready data pipelines. This includes designing architecture, implementation as well as providing important updates throughout the project lifecycle

W​HO​ ​YOU​ ​ARE

• Experience wrangling terabytes of big, complicated, imperfect data using scalable data processing frameworks such as Redshift, Snowflake, DBT, Amundsen, Apache Spark, Kafka, Debezium, AWS products (EMR, S3, Glue, IAM, RDS, etc)
• A strong understanding of data structures, algorithms, and effective software design
• Significant development experience with a major modern language (e.g. Python, Scala, Ruby, C/C++, etc.)
• Significant experience working with structured and unstructured data at scale and comfort with a variety of different stores (key-value, document, columnar, etc.) as well as traditional RDBMS’s and data warehouses
• Experience writing unit, functional and end to end tests
• Comfort with version control systems (e.g. Git, SVN)
• Excellent verbal and written communication skills; must work well in an agile, collaborative team
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