Senior Manager, Data Engineering

🔥 21 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $135k - $175k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 3%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Lead the Data Engineering team and set the technical direction for the data platform • Own the architecture, reliability, performance, and evolution of Snowflake, PostgreSQL, and data pipelines • Lead the transition to a Medallion architecture and establish standards for data ingestion, transformation, modeling, testing, documentation, and consumption • Own and evolve the modern data stack, including Snowflake, dbt, Fivetran, Meltano, PostgreSQL, AWS, and related technologies • Partner with application engineering teams on transactional database design, schema changes, performance, scalability, and reliability • Work with Engineering, Analytics, Product, Finance, Risk, Marketing, and other business teams to turn data needs into reusable solutions • Establish engineering practices around data quality, automated testing, observability, lineage, security, documentation, and incident response • Improve self-service access to data • Monitor and optimize the platform for performance, scalability, and cost • Build a long-term roadmap balancing current business needs with future platform needs, including AI use cases • Lead, mentor, and develop a strong team of Data Engineers • Set technical standards and expectations while giving engineers ownership • Participate in architecture and design decisions and provide technical support when needed • Help prioritize work based on business impact, technical risk, reliability, and long-term value • Create a culture of data quality, testing, documentation, and operational reliability • Communicate technical decisions, tradeoffs, risks, and investments to technical and nontechnical teams

🎯 Requirements

• 6+ years of experience in Data Engineering, Data Platform Engineering, Database Engineering, or a related field • 2+ years of experience leading or managing Data Engineers or other technical teams • Strong experience with Snowflake, dbt, SQL, and modern ELT or ETL architectures • Strong understanding of PostgreSQL or similar relational databases, including schema design, indexing, query performance, and reliability • Experience with data ingestion and integration tools such as Fivetran, Meltano, or similar technologies • Experience with dimensional modeling, Medallion architecture, or other modern warehouse design patterns • Strong understanding of data quality, automated testing, observability, lineage, governance, and security • Experience operating cloud based data platforms and understanding performance and cost tradeoffs • Ability to think at both the architecture level and the implementation level when needed • Strong communication skills and the ability to work effectively across Engineering, Analytics, business teams, and leadership • Experience with Python or Ruby for automation, tooling, or data processing • Experience in financial services or another regulated industry • Experience supporting analytics or AI applications • Experience with data catalogs, data contracts, or master data management • Experience leading a significant warehouse or data platform modernization effort • Experience using AI and automation to improve engineering productivity, monitoring, documentation, or data quality

🏖️ Benefits

• Flexible Paid Time Off • Health Benefits with generous medical, dental and vision insurance plans • 401(k) with matching contribution • Paid Family Leave • Annual Wellness & WFH Subsidies • Employee Referral Program • Remote first culture with convenient downtown office in the heart of the city