Senior Data Engineer

🔥 52 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

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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Oportun

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

💼 Consulting

🛡️ Insurance

💳 Fintech

Consulting • Insurance • Fintech

Oportun is a financial technology company that specializes in providing affordable personal loans and savings solutions. They are recognized as Bankrate's #1 app for saving money in 2024. Oportun offers personal loans ranging from $300 to $10,000 for various financial needs such as bills, repairs, and deposits, with quick funding and affordable payments. The company provides a unique app that helps users manage their loans and saves money intelligently. Oportun also focuses on financial education and offers tools like loan calculators and prequalification services, which do not impact credit scores. Although Oportun is not a bank, they ensure deposits are FDIC insured through partner banks.

📋 Description

• Design and implement scalable, efficient, and reliable data architectures • Build and maintain data pipelines, ETL processes, and integration solutions for large volumes of structured and unstructured data • Optimize data pipelines, databases, data warehouses, and data lakes for performance, reliability, scalability, and security • Partner with stakeholders to understand data requirements and translate business needs into data models and solutions • Establish and improve data quality standards, validation rules, documentation, and governance practices • Implement monitoring and observability practices • Provide technical leadership on architecture, scalability, reliability, monitoring, integration, and extensibility • Lead and contribute to code reviews • Mentor junior engineers • Own production issues, including troubleshooting, root-cause analysis, escalation, and long-term resolution • Independently lead multiple features and projects, coordinate work across engineers, and keep stakeholders informed • Evolve engineering tools, platforms, and practices • Use AI tools to improve engineering productivity, analysis, documentation, and problem-solving

🎯 Requirements

• 8+ years of experience in data engineering, with strong experience in data architecture, ETL, and database management • Strong programming skills in Python or PySpark, plus experience with Java or Scala • Experience building complex end-to-end data pipelines and data integration solutions • Strong knowledge of SQL and experience with relational and NoSQL database technologies • Experience with big data technologies such as Spark, Kafka, Hadoop, or similar platforms • Experience with orchestration and scheduling tools such as Airflow, Databricks, Jenkins, or similar technologies • Experience designing and operating scalable, reliable, and secure data systems • Familiarity with cloud platforms such as AWS, Azure, or GCP and associated data services • Experience working in Agile environments such as Scrum, Lean, or Kanban • Strong problem-solving and decision-making skills • Experience mentoring junior engineers and contributing to technical leadership within a team • Strong written and verbal communication skills with the ability to work effectively across technical and non-technical teams • Openness to experimenting with AI tools and willingness to learn • Bachelor's or Master's degree in Computer Science, Data Science, or a related field (nice to have) • Databricks experience or certification (nice to have) • Experience with AWS Redshift, S3, Azure SQL Data Warehouse, or comparable cloud data services (nice to have) • Experience implementing data governance, data quality, or observability frameworks (nice to have) • Experience leading cross-functional or multi-month engineering initiatives (nice to have) • Experience using AI-assisted engineering tools (nice to have)

🏖️ Benefits

• Competitive compensation and benefits package designed to support physical, financial, and professional well-being • Medical Insurance • Savings Fund • Life Insurance • Internet and Electricity Allowance • Paid time off such as vacation and parental leave