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Software Engineer - Python

Job in New York, New York County, New York, 10261, USA
Listing for: Randstad USA
Full Time position
Listed on 2026-08-22
Job specializations:
  • Software Development
Salary/Wage Range or Industry Benchmark: 124000 - 158000 USD Yearly USD 124000.00 158000.00 YEAR
Job Description & How to Apply Below
Location: New York

Software Engineer with heavy Python dev skills

Start: 2 weeks from date of offer

Location:

Remote

Length of

Contract:

7 months

Hourly Pay: 90-115 p/hr on W2

* W2 Contract Only*

* No 3rd Party Applicants*

Looking for a Software Engineer that has heavy Python coding skills. This project will be geared toward Security but this resource does not have to have a Security background / experience.

Musts
  • Python Coding - 1st interview is a coding test
  • SQL or Power Shell Scripting

Build the future of data. Join the Snowflake team. The Anti‑abuse team at Snowflake is responsible for protecting Snowflake and our customers from abuse on the Snowflake platform. You will have the opportunity to help set the direction of the anti‑abuse roadmap and Product Security while working closely with other teams  an Anti‑Abuse Security Engineer, you will design, build, and operate systems that protect our platform, customers, and data from abuse, misuse, and fraud.

You’ll work at the intersection of security engineering, data analytics, and machine learning, developing prevention controls, detections, and automation that mitigate abuse activity across our ecosystem. We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our “get it done” culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.

AS

AN ANTI-ABUSE SECURITY ENGINEER AT SNOWFLAKE, YOU WILL
  • Understand the abuse risks faced by Snowflake and our customers
  • Design and deploy the anti‑abuse controls for Snowflake features, including compromised account detections, data exfiltration detections, LLMs, the newest, highest‑risk features such as Snowflake Intelligence, data sharing, and future engineering challenges as Snowflake grows
  • Work directly with senior engineers and management to illustrate abuse risks, threats, exploits, to guide business decisions
  • Research, plan, and build anti‑abuse architectures for Snowflake products and features
  • Provide designs and reference implementations for new anti‑abuse features
  • Research new services, controls, or features that can help protect the product and our customers from abuse
OUR IDEAL ANTI-ABUSE SECURITY ENGINEER WILL HAVE
  • Bachelor’s degree in Computer Science or related technical field or equivalent practical experience
  • 4+ years of experience with anti‑abuse App Sec, threat modeling, and/or secure
  • Understanding of common abuse patterns (e.g., ATO, scraping, spam, fraud, privilege misuse)
  • Proficiency in Python, SQL, or a similar language for building detections and data
  • In-depth knowledge of anti‑abuse solutions, cloud, application security, network security, and/or infrastructure security, LLMs
  • Applied knowledge of securing AWS, Azure, and other public cloud providers
  • Experience performing source code reviews across various languages (e.g. Java, Go)
  • Working knowledge of malware detection and best practices
  • Ability to assess engineering designs and architecture diagrams for abuse risks
  • Ability to assess abuse risks within an application or feature
  • Experience communicating abuse risks and roadmaps to senior leadership
  • Experience designing and implementing anti‑abuse solutions
  • Experience contributing to the security anti‑abuse community such as presenting at conferences or meetups
BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING
  • Master’s degree or PhD in Computer Science or related technical field
  • Skilled in writing, debugging, and optimizing SQL queries to support data‑driven decisions and operations
  • Experience with cloud environments (AWS, GCP, Azure) and their security/abuse detection tooling
  • Familiarity with ML‑based detection systems, feature engineering, or anomaly
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