Software Developer IV

Job not on LinkedIn

🕒 August 25

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

💵 $100k - $120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 7%

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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JDPA LIMITED

WebsiteLinkedInAll Job Openings

- employees

🚘 Automotive

🛡️ Insurance

💼 Consulting

Automotive • Insurance • Consulting

JDPA LIMITED is a provider of data, analytics, and software solutions serving the automotive ecosystem and adjacent financial and insurance sectors. It offers vehicle valuations, market and retail intelligence, quality and customer-experience benchmarks, digital marketing and advisory services to OEMs, dealers, insurers and lenders. JDPA LIMITED combines proprietary customer and VIN data with advanced analytics and SaaS products to help clients improve product design, retail performance, risk management, and finance operations.

📋 Description

• Work hands-on with quantitative data to create new capabilities and improve existing ones • Develop data products solving critical problems for the auto industry • Own end-to-end responsibility for business-critical projects • Ensure technical excellence across the team • Drive organizational capability through knowledge transfer and mentorship • Immerse daily in automotive industry data, including complex business rules and data management • Own the full development lifecycle: architecture, development, testing, and bug resolution • Collaborate with stakeholders to define data requirements and translate business problems into technical solutions • Engineer robust, extensible data pipelines using Snowflake, Dataproc, Airflow, Cloud Composer, and BigQuery • Design, troubleshoot, and execute repeatable data processes • Identify bottlenecks and optimize efficiency and reliability • Analyze complex issues and communicate findings to business leadership • Enforce engineering best practices and identify security vulnerabilities • Mentor junior engineers on technologies, processes, and industry domain knowledge • Lead cross-functional initiatives across Consulting, New Product Development, Data, and Engineering teams • Serve as a strategic technical advisor for data-driven business solutions

🎯 Requirements

• Bachelor's degree in Statistics, Mathematics, Econometrics, Operations Research, Quantitative Marketing, Finance, Engineering, or similar field • 6+ years of full-time quantitative analytics and data engineering experience • Expert in SQL and Python • Proficiency in modern cloud data platforms, including GCP BigQuery and Snowflake • Highly skilled in ETL processes with demonstrated efficiency and accuracy outcomes • Hands-on experience with Airflow, Cloud Composer, and Dataproc • Experience integrating complex, multi-source datasets with multiple dimensions and layers of complexity • Track record of resolving data quality issues creatively and effectively • Ability to flag anomalies and inconsistencies using strong judgment • Ability to translate technical analysis into clear business insights • Effective written and verbal communication • Subject matter expertise or ability to quickly develop deep domain knowledge in industry-specific business rules and processes • Proficient with AI-assisted development tools such as Copilot, Cursor, or Claude Code • Ability to judge when to accept, edit, or reject AI-generated output • Skilled at providing effective context, including codebase conventions, requirements, and constraints • Experience using AI to accelerate test authoring, documentation, and routine refactoring • Awareness of AI tool limitations, including hallucinated APIs, outdated patterns, security pitfalls, and need for human verification • Self-directed and detail-oriented, able to own work from requirements through release • Strong communication and problem-solving skills • Comfortable working across technical and business stakeholders • Supports team growth through peer reviews, pairing, and mentorship

🏖️ Benefits

• Accommodation support during the recruitment and selection process • Diverse and inclusive workplace commitment