Overview

About SecurityScorecard: SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, the culture has been recognized by Inc Magazine as a Best Workplace, Crain’s NY as a Best Places to Work in NYC, and Fast Company’s World’s Most Innovative Companies for 2023. SecurityScorecard is funded by investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Team

Be part of an exciting and growing Technology team focused on product development. Our team emphasizes collaboration and shared responsibilities; you will be hands-on involved in the entire Software Development Life Cycle. Our team is growing and so will you. Check out our tech blog and let us know if you are our next star.

About the Role

What you will do

We are looking for a Senior Data Engineer who thrives on building commercial products and plays a key role in delivering reliable, scalable, and maintainable applications. You will own projects end-to-end, collaborating with Product Managers to define requirements, implement solutions, and ensure ongoing success post-deployment. You’ll focus on simplicity while contributing technical insights to enhance the system’s performance, stability, and user experience.

- Participate in all stages of the software development life cycle, from design and development to deployment and maintenance.
- Contribute to the product and technical roadmap by providing data-driven insights and articulating trade-offs between technical options and business goals.




- Support and mentor junior engineers on the team through code reviews, pairing, and technical guidance.
- Follow clean code principles, using best practices to write secure, testable, and well-documented software.
- Work closely with a global team, including engineers and product managers, to build a stable, high-performance platform.
- Implement comprehensive testing and performance tuning to ensure system stability and uptime.

Responsibilities

- Translate requirements, estimate effort, and address or escalate blockers as needed.
- Write clean, maintainable code that adheres to best practices in readability, design patterns, reusability, and testing.
- Own end-to-end projects, understanding and contributing to all aspects (infrastructure, application tiers, and data tiers).
- Continuously monitor performance metrics and recommend improvements or refactors.

Tech Stack

- Scala, Apache Spark, Python
- Airflow
- ScyllaDB, PostgreSQL, ClickHouse, Hive, Redis, Kafka, Kafka Connect
- Docker, Jenkins, Terraform, AWS

Required Qualifications

- 5+ years of experience in Data Engineering and building/maintaining big data pipelines
- 3+ years in agile environments (ideally Scrum), collaborating with cross-functional teams
- Proficient in Spark
- Experience with strongly-typed languages (Java or Scala preferred)
- Experience designing, building, and maintaining RESTful APIs and integrating with external services
- Participate in code reviews to ensure best practices and code quality
- Ability to write and maintain unit and integration tests based on acceptance criteria
- Proficiency with Git for collaborative development and code management

Preferred Qualifications

- Understanding of building scalable and high-performance back-end systems,



optimized for low-latency and high-throughput
- Experience with varied data formats (flat files, XML, JSON, relational, parquet)
- Experience in functional programming languages (Scala preferred)
- Experience in Cyber Security

Communication and Collaboration

- Strong attention to documentation and maintaining standards across projects
- Ability to present and defend technical decisions with confidence
- Skilled at estimating project complexity from early documentation and discussions
- Excellent written and verbal communication skills to articulate technical challenges and solutions

Benefits

Specific to each country, we offer a competitive salary, stock options, health benefits, and unlimited PTO, parental leave, tuition reimbursements, and more. The estimated total compensation range for this position is $75,000 - $92,000 (base plus bonus). Presente compensation is based on factors including affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may be eligible for annual performance-based incentive compensation awards and equity, among other benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. Hiring decisions are based on merit and do not discriminate based on race, color, religion, national origin, sex or gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status or any other protected category in accordance with applicable law. We also consider qualified applicants regardless of criminal histories, and we provide reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance due to a disability, please contact Any information you submit will be processed in accordance with the Company’s privacy policy and applicable law. SecurityScorecard does not accept unsolicited resumes from employment agencies and does not provide immigration sponsorship for this position. #LI-DNI

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📌 Senior Data Engineer (Argentina)
🏢 AlleyCorp
📍 Argentina