Senior Data Engineer

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NinjaHoldings

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

NinjaHoldings is a pioneering company offering transformative and innovative financial solutions, focusing on digital lending and financial services for underserved Americans. As original entrepreneurs and data scientists, they have developed digital money platforms to empower individuals often overlooked by traditional banks. Through their brands like CreditNinja and NinjaCard, they provide a comprehensive suite of digital banking and lending products, with incentives and rewards that help guide customers towards financial improvement. Additionally, their NinjaEdge brand offers B2B solutions for companies, enhancing customer understanding via bespoke underwriting, fraud detection, and analytics services.

📋 Description

• Supervise junior members of the data engineering team. • Guiding, planning, and reviewing the team's work • Create and maintain optimal data pipeline architecture • Assemble large, complex data sets that meet functional / non-functional business requirements • Extend our machine learning platform by designing tools that interface with cloud services, our current code base, and provide new flexibility in model building • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python, and AWS • Build analytics tools to provide actionable insights into key business performance metrics, as well as supporting the needs of the analytics team • Create data-handling tools for analytics and data scientist team members that assist them in building and optimizing our decision-making process

🎯 Requirements

• 5+ years of experience in a Data Engineer role • Bachelor's degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field • Advanced working SQL knowledge and experience working with relational databases (including Postgres and MySQL), query authoring (SQL), as well as working familiarity with a variety of databases • Experience building data pipelines, architectures, and data sets from raw, loosely structured data • A history of focusing on test driven design and results for repeatable and maintainable processes and tools • Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management • Working knowledge of message queuing, stream processing, and highly scalable data stores • Strong project management and organizational skills and the ability to work independently in a fast-paced, quickly changing environment • Ability to keep up with several projects at once and understand the impact of projects within a larger system • Experience supporting and working with cross-functional teams in a dynamic environment • Experience managing junior engineers and guiding a team of engineers through project planning, execution, and quality control stages • Candidate should have experience using the following software/tools: • Experience with object-oriented design in Python • Experience with data pipeline and workflow management tools • Experience with AWS cloud services: EC2, RDS, Redshift, Glue, S3

🏖️ Benefits

• Flexible, remote work • Fun, fast-paced work environment • Dynamic start-up culture • Equal opportunity employer