Senior Data Engineer, Snowflake

Job not on LinkedIn

🔥 2 minutes ago

💃 Latin America – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.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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Factor Funding Company

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 1996

📦 Logistics

🏭 Manufacturing

💼 Consulting

Logistics • Manufacturing • Consulting

Factor Funding Company is a financial services provider specializing in small business funding through various options such as accounts receivable factoring, asset-based loans, and purchase order financing. By converting invoices and receivables into immediate cash, they help businesses quickly improve cash flow without the lengthy processes associated with traditional lending. Their services cater to the needs of small businesses across multiple industries, allowing them to focus on growth and operations while alleviating cash flow concerns.

📋 Description

• Design and evolve data architectures powering intelligent products for global and Fortune 500 organizations. • Develop and maintain Python-based ETL processes. • Write efficient SQL queries to extract, manipulate, and analyze data. • Design, build, and optimize large-scale data pipelines using Databricks and Snowflake. • Automate manual processes and develop data delivery, validation, and augmentation techniques. • Collaborate with stakeholders to translate data needs into scalable solutions. • Design and develop API integrations to feed data models. • Architect and implement new features with AI/ML engineers, identifying data sources, gaps, and dependencies. • Identify bugs and performance issues, using monitoring and testing tools to ensure data integrity and quality. • Build scalable infrastructure using SQL and AWS big data technologies. • Keep data secure and compliant with international data handling rules. • Nice to have: work with graph data models or graph databases such as Neo4j.

🎯 Requirements

• 5+ years of professional experience shipping high-quality, production-ready code. • Strong computer science foundations, including data structures & algorithms, OS, computer networks, databases, and object-oriented programming. • Experience with Python. • Experience setting up data pipelines using relational SQL and NoSQL databases, including Postgres, Cassandra or MongoDB. • Strong experience with data processing and warehousing tools such as Databricks and Snowflake. • Experience with cloud platforms such as AWS, GCP, or Azure. • Experience with processing and orchestration, such as Spark or Airflow. • Proven success manipulating, processing, and extracting value from large datasets. • Expertise with version control systems, such as Git. • Strong analytic skills related to working with unstructured datasets. • Excellent verbal and written communication skills in English. • Familiarity with graph technologies or graph-based data modeling is nice to have.

🏖️ Benefits

• Ownership through equity participation. • Annual company retreat. • Education bonus for continuous learning. • Company-wide winter break. • Paid time off. • Optional in-person events and meetups. • Tailored career roadmaps. • High-performance culture.

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