NinjaHoldings
Overview
Staff Data Engineer role at NinjaHoldings. The company focuses on digital banking and lending products (CreditNinja and NinjaCard) and analytics services (NinjaEdge). Offices in Chicago, Miami, and remote opportunities worldwide. Job Summary: As a (Sr.) Staff Data Engineer, you will define the technical strategy for enterprise data systems, leveraging Snowflake and dbt to ensure scalability and extensibility aligned with the organization’s long-term business roadmap. You will provide architectural leadership while remaining a highly effective individual contributor (IC), directly building and optimizing data pipelines, Snowflake environments, and dbt transformations. The role combines strategic vision with hands-on execution to design robust data solutions and independently implement critical components to support analytics, reporting, and operational needs. You will lead through analysis, design, collaboration, and mentorship, driving data excellence across the organization. Possible Data Domains include: Analytics & Reporting; Data Integration; Governance & Compliance; Operational Data. Key Responsibilities
Provide architectural leadership across interdependent data engineering teams, systems, and business units, focusing on Data Platform solutions. Design and connect data systems to deliver clean, discoverable, and high-quality data across analytics, operations, and product teams using scalable data sharing and modular transformation practices. Partner with business stakeholders to enhance the data stack, addressing needs such as data governance, compliance, performance optimization, and advanced analytics. Elevate teammates’ expertise in cloud data architecture, transformation workflows, and data modeling best practices. Contribute to the design and review of critical data components, including schemas, models, and data pipelines. Provide critical thinking, technical innovation, and meticulous attention to detail as a trusted advisor and mentor to your team. Support quality assurance, validation, and performance testing to ensure data system reliability, functionality, and efficiency. Ideal Candidate Will Have
10+ years of experience in data architecture or data engineering, with hands-on experience building data pipelines or optimizing data platforms 5+ years of hands-on experience with modern cloud-based data platforms (preferably Snowflake) including SQL scripting, data ingestion pipelines, change data capture, orchestration, and data sharing 3+ years of experience with modern data transformation frameworks (preferably dbt), focused on modular data modeling and automated testing Experience contributing in an Agile environment, building cloud-based data solutions with Snowflake as the core platform Proven track record of leading data projects from inception to completion and mentoring data engineers or analysts Deep understanding of scalable data architectures (data lakes, warehouses, lakehouses) Experience designing and implementing data pipelines with tools like Fivetran, Airflow, or Matillion Strong knowledge of data governance, security practices, and compliance frameworks within Snowflake and dbt Data-driven, analytical, and effective communicator who grasps the big picture while focusing on critical details Natural problem solver who uses first principles to define meaningful solutions Additional Pluses
Experience in fintech, healthcare, or e-commerce Familiarity with additional cloud data tools (AWS Redshift, Google BigQuery, Azure Synapse) or BI platforms (Tableau, Power BI) Snowflake SnowPro Core/Advanced Architect or dbt Analytics Engineering Certification Experience building data systems in growth-stage companies Strong leadership with an ownership mentality Benefits
Competitive salary and benefits package Flexible, remote work Fun, fast-paced environment Dynamic start-up culture Impactful role in a growth-stage company Office in downtown Chicago (optional) Equal opportunity employer Applicants must be legally authorized to work in the U.S. without the need for current or future visa sponsorship. Important Notice
Please review communications to ensure they are from official NinjaHoldings channels. If you have questions or to confirm authenticity, email hr@ninjaholdings.com.
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Staff Data Engineer role at NinjaHoldings. The company focuses on digital banking and lending products (CreditNinja and NinjaCard) and analytics services (NinjaEdge). Offices in Chicago, Miami, and remote opportunities worldwide. Job Summary: As a (Sr.) Staff Data Engineer, you will define the technical strategy for enterprise data systems, leveraging Snowflake and dbt to ensure scalability and extensibility aligned with the organization’s long-term business roadmap. You will provide architectural leadership while remaining a highly effective individual contributor (IC), directly building and optimizing data pipelines, Snowflake environments, and dbt transformations. The role combines strategic vision with hands-on execution to design robust data solutions and independently implement critical components to support analytics, reporting, and operational needs. You will lead through analysis, design, collaboration, and mentorship, driving data excellence across the organization. Possible Data Domains include: Analytics & Reporting; Data Integration; Governance & Compliance; Operational Data. Key Responsibilities
Provide architectural leadership across interdependent data engineering teams, systems, and business units, focusing on Data Platform solutions. Design and connect data systems to deliver clean, discoverable, and high-quality data across analytics, operations, and product teams using scalable data sharing and modular transformation practices. Partner with business stakeholders to enhance the data stack, addressing needs such as data governance, compliance, performance optimization, and advanced analytics. Elevate teammates’ expertise in cloud data architecture, transformation workflows, and data modeling best practices. Contribute to the design and review of critical data components, including schemas, models, and data pipelines. Provide critical thinking, technical innovation, and meticulous attention to detail as a trusted advisor and mentor to your team. Support quality assurance, validation, and performance testing to ensure data system reliability, functionality, and efficiency. Ideal Candidate Will Have
10+ years of experience in data architecture or data engineering, with hands-on experience building data pipelines or optimizing data platforms 5+ years of hands-on experience with modern cloud-based data platforms (preferably Snowflake) including SQL scripting, data ingestion pipelines, change data capture, orchestration, and data sharing 3+ years of experience with modern data transformation frameworks (preferably dbt), focused on modular data modeling and automated testing Experience contributing in an Agile environment, building cloud-based data solutions with Snowflake as the core platform Proven track record of leading data projects from inception to completion and mentoring data engineers or analysts Deep understanding of scalable data architectures (data lakes, warehouses, lakehouses) Experience designing and implementing data pipelines with tools like Fivetran, Airflow, or Matillion Strong knowledge of data governance, security practices, and compliance frameworks within Snowflake and dbt Data-driven, analytical, and effective communicator who grasps the big picture while focusing on critical details Natural problem solver who uses first principles to define meaningful solutions Additional Pluses
Experience in fintech, healthcare, or e-commerce Familiarity with additional cloud data tools (AWS Redshift, Google BigQuery, Azure Synapse) or BI platforms (Tableau, Power BI) Snowflake SnowPro Core/Advanced Architect or dbt Analytics Engineering Certification Experience building data systems in growth-stage companies Strong leadership with an ownership mentality Benefits
Competitive salary and benefits package Flexible, remote work Fun, fast-paced environment Dynamic start-up culture Impactful role in a growth-stage company Office in downtown Chicago (optional) Equal opportunity employer Applicants must be legally authorized to work in the U.S. without the need for current or future visa sponsorship. Important Notice
Please review communications to ensure they are from official NinjaHoldings channels. If you have questions or to confirm authenticity, email hr@ninjaholdings.com.
#J-18808-Ljbffr