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Google Reverse Engineer Jobs in Arizona (NOW HIRING)

Ameware Group

Data Engineer

Snowflake, AZ · Remote

$97.80K - $117.40K/yr

Experience with ETL/Reverse ETL platforms (Hevo, Hightouch, Census). Knowledge of dbt or Great ... AppsFlyer, Google Ads, Facebook Ads, TikTok Ads). Implement processes for data validation ...

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Google Reverse Engineer information

What are the key skills and qualifications needed to thrive as a Google Reverse Engineer, and why are they important?

To thrive as a Google Reverse Engineer, you need strong expertise in computer science fundamentals, assembly language, binary analysis, and experience with reverse engineering tools—often supported by a related degree or equivalent experience. Familiarity with tools like IDA Pro, Ghidra, and debuggers, as well as certifications such as OSCP or CREST CRT, is typically expected. Analytical thinking, problem-solving, and meticulous attention to detail are essential soft skills for uncovering vulnerabilities and understanding complex software. These skills enable reverse engineers to identify security flaws, improve product security, and protect organizational assets from potential threats.

What are some common challenges faced by Google Reverse Engineers when analyzing complex software systems?

Google Reverse Engineers often encounter challenges such as dealing with heavily obfuscated code, undocumented protocols, and rapidly evolving software environments. They need to carefully dissect binaries and proprietary code to understand functionality, which can be time-consuming and require creative problem-solving. Collaboration with security analysts and software developers is common, as insights from reverse engineering can inform vulnerability mitigation and product improvements. Staying up-to-date with the latest tools and techniques is essential for overcoming these obstacles efficiently.

What is a Google Reverse Engineer?

A Google Reverse Engineer is a professional who analyzes Google’s software, products, or services to understand their inner workings, often by studying how code functions without access to the original source code. This process can involve deciphering algorithms, protocols, or security mechanisms to enhance compatibility, improve security, or uncover vulnerabilities. Reverse engineers typically use specialized tools and techniques to deconstruct and analyze Google software, all while adhering to legal and ethical standards. Their work is important in cybersecurity, software development, and interoperability research.

What is the difference between Google Reverse Engineer vs Security Analyst?

AspectGoogle Reverse EngineerSecurity Analyst
Required CredentialsTechnical degrees, cybersecurity certifications, reverse engineering skillsCybersecurity certifications, analytical skills, sometimes degrees in IT or related fields
Work EnvironmentTech companies, cybersecurity firms, research labsCorporate security teams, government agencies, consulting firms
Employer & Industry UsagePrimarily in tech and cybersecurity industriesAcross various industries including finance, government, and tech
Common Search & Comparison IntentUnderstanding technical skills and reverse engineering rolesAssessing security roles and responsibilities

Google Reverse Engineers focus on analyzing and dissecting software, malware, and security vulnerabilities through reverse engineering techniques. Security Analysts monitor, detect, and respond to security threats within organizations. While both roles require cybersecurity knowledge, reverse engineers are more technical and research-oriented, whereas security analysts focus on threat management and defense strategies.

What are popular job titles related to Google Reverse Engineer jobs in Arizona? For Google Reverse Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Google Reverse Engineer jobs in Arizona look for? The top searched job categories for Google Reverse Engineer jobs in Arizona are:
What cities in Arizona are hiring for Google Reverse Engineer jobs? Cities in Arizona with the most Google Reverse Engineer job openings:
Google Reverse Engineer jobs near you

Data Engineer

Ameware Group

Snowflake, AZ • Remote

$97.80K - $117.40K/yr

Full-time

Posted 5 days ago

Job description

Client: NDA (USA) Location: remote (LATAM & Europe) Employment: full-time (40 hours per week) Our client is a well‐known US‐based rewards marketplace that helps users earn for engaging with digital offers, while delivering strong value to advertisers through performance‐driven solutions. We are looking for a skilled and detail‐oriented Data Engineer who will play a key role in building and maintaining scalable data infrastructure within the AWS ecosystem. The ideal candidate has solid hands‐on experience with Apache Airflow, Snowflake, and Python, and knows how to design efficient, fault‐tolerant pipelines.

This role is perfect for someone who enjoys solving complex data challenges, optimizing workflows, and collaborating across product and engineering teams. Requirements 3–5 years of proven experience as a Data Engineer , with strong expertise in designing and maintaining production‐grade data pipelines. 2+ years of experience with Apache Airflow (MWAA) , including building and debugging complex DAGs, and applying best practices for error handling and idempotency.

2+ years of practical experience with Snowflake , including advanced SQL (MERGE, COPY INTO), query tuning, and orchestration tasks. 3+ years of experience with Python , including object‐oriented programming, Pandas , and concurrent execution (e.g., ThreadPoolExecutor for parallel data processing). 3+ years of experience writing complex SQL queries (CTEs, window functions, stored procedures) and optimizing them for large datasets.

2+ years of experience working with AWS (S3, IAM, Lambda). Experience with Infrastructure as Code tools (Terraform or CloudFormation) is a strong plus. Strong understanding of ETL/ELT principles , data modeling (star schema, slowly changing dimensions), and data quality management.

Experience troubleshooting production data issues, including debugging race conditions, performance bottlenecks, and data inconsistencies. Excellent communication skills, attention to detail, and a proactive, team‐oriented mindset. Nice to have Experience with marketing and mobile attribution data sources (e.g., Adjust, Singular, AppsFlyer).

Familiarity with Looker or other BI visualization tools. Experience with ETL/Reverse ETL platforms (Hevo, Hightouch, Census). Knowledge of dbt or Great Expectations.

Certifications in Snowflake, AWS, or Airflow will be a plus. Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using Python, Apache Airflow (MWAA), and Snowflake. Build data ingestion workflows from multiple sources, including AWS S3, Aurora MySQL, MongoDB, BigQuery, and third‐party APIs (Singular, AppsFlyer, Google Ads, Facebook Ads, TikTok Ads).

Implement processes for data validation, cleansing, and deduplication to ensure high accuracy and reliability. Apply a declarative and idempotent approach to pipeline design to support reliable backfills and recovery. Set up monitoring, logging, and alerting systems (e.g., Slack notifications) for data operations and pipeline performance tracking.

Collaborate with Data, Product, and Engineering teams to translate business needs into reliable technical solutions. Continuously optimize data workflows and SQL queries for performance and cost efficiency. Ensure adherence to data quality and governance standards across all processes.

We offer Remote work in an international company in the USA. Competitive salary in the USD. Flexible working hours to help you manage your work/life balance.

Fully remote service/support Career and professional growth. Warm and friendly attitude to every specialist. #J-18808-Ljbffr

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