SpyCloud
Overview
SpyCloud is on a mission to make the internet a safer place by disrupting the criminal underground. SpyCloud's solutions thwart cyberattacks and protect more than 4 billion accounts worldwide. Cybersecurity is an exciting, evolving space, and being at the forefront of the fight to disrupt cybercrime makes SpyCloud a special place to work. If you're driven to align your career with a fantastic mission, look no further!
Are you passionate about building scalable data solutions and working with cutting-edge AWS technologies like
Amazon Bedrock
and
Amazon Redshift ? We’re looking for a
Senior Data Engineer
to lead the design and development of high-performance data systems, enabling AI-driven insights and real-time analytics.
In this role, you'll play a key part in shaping our data infrastructure, driving best practices, and mentoring a team of engineers—all while delivering impactful solutions that power our products.
Our Stack:
Programming Languages: Python, GO and TypeScript
Frameworks: FastAPI, React, Remix, Vite
Relational Databases: MySQL, PostgreSQL
NoSQL Databases: ElasticSearch, DynamoDB
Infrastructure: AWS, Docker, Terraform
Operating Systems: Linux, Windows
What You'll Do
Data & Feature Development
— Design, develop, and deploy robust data pipelines, APIs, and backend services.
Optimize and scale AWS Redshift for analytical workloads, ensuring high performance.
Leverage
Amazon Bedrock
to build and integrate Generative AI-powered solutions.
Ensure high-quality results and timely delivery of product roadmap milestones.
Technical Leadership
Drive architectural decisions and design scalable data solutions.
Provide technical guidance on best practices for AWS Bedrock, Redshift, Kinesis, Kafka, and Spark.
Troubleshoot and resolve complex data-related issues.
Foster a culture of technical excellence, innovation, and collaboration.
Team Collaboration & Growth
Work closely with cross-functional teams to align data initiatives with business goals.
Mentor and support junior engineers, fostering a culture of continuous learning.
Identify opportunities to improve team processes and engineering standards.
Requirements
Professional Experience
— 5+ years of experience in designing and delivering scalable data engineering solutions.
Technical Proficiency
—
Expertise in AWS Redshift for high-performance data processing and analytics.
Hands-on experience with Amazon Bedrock and Generative AI technologies.
Strong programming skills in Python, Java, or Scala.
Deep knowledge of RESTful APIs, data modeling, and relational (SQL) + NoSQL databases.
Experience with streaming data technologies such as Amazon Kinesis or Apache Kafka.
Familiarity with open-source data processing frameworks like Apache Spark, Flink, or Storm.
Strong grasp of software engineering best practices, including CI/CD, testing, and version control (GitHub, AWS CodeBuild, GitHub Actions).
Cloud & Infrastructure
— Deep expertise in AWS services: Redshift, API Gateway, Lambda, EMR, EC2, ECS; experience with serverless architectures, containerization, and distributed data processing.
Communication & Problem-Solving
— Excellent problem-solving skills with a proactive approach to troubleshooting; strong written and verbal communication for technical and non-technical audiences.
SpyCloud is not sponsoring visas at this time.
Benefits & Perks U.S.-Based Benefits + Perks (for Full Time Employees): SpyCloud offers a comprehensive benefits package, including 401(k) with employer contribution; health, vision, and dental insurance; HSA with employer contribution; employer-paid life, short-term and long-term disability; generous PTO and holidays; flexible and remote-friendly options.
401(k) with Employer Contribution
Health, Vision, and Dental Insurance
Health Savings Account (HSA) available with Employer Contribution
Employer Paid Life, Short-term, and Long-term Disability Insurance
Generous PTO Plan and 16 paid holidays per year
U.K.-Based Benefits + Perks (for Full Time Employees): Retirement Savings Plan with Employer Contribution; Private Health Insurance and Healthcare Cashplan; Employer Paid Life Insurance and Income Replacement; Generous Holiday Plan and 14 paid holidays per year
About SpyCloud SpyCloud is on a mission to disrupt the cycle of cybercrime. As the leader in Cybercrime Analytics, our solutions thwart cyberattacks that originate from stolen data, including account takeover, ransomware, and online fraud. More than 550 customers and partners trust SpyCloud to protect users' identities, prevent targeted attacks, and unmask adversaries attempting to harm businesses and their customers.
Our mission is to make the internet a safer place by disrupting the criminal underground. Together with our customers and partners, we aim to end criminals' ability to profit from stolen information.
SpyCloud is an Equal Employment Opportunity and Affirmative Action employer. All employment decisions are based on merit and business needs. We do not discriminate on the basis of protected characteristics. We encourage women, minorities, individuals with disabilities, and protected veterans to apply.
If you need assistance or accommodation due to a disability, you may contact us.
Culture & Compliance Our culture is driven to disrupt the cybercriminal economy while keeping customer accounts safe. We value collaboration, accountability, and a thoughtful, inclusive environment. Our recruitment policies emphasize security from recruitment fraud; and we provide guidance to applicants on safe practices.
#J-18808-Ljbffr
Are you passionate about building scalable data solutions and working with cutting-edge AWS technologies like
Amazon Bedrock
and
Amazon Redshift ? We’re looking for a
Senior Data Engineer
to lead the design and development of high-performance data systems, enabling AI-driven insights and real-time analytics.
In this role, you'll play a key part in shaping our data infrastructure, driving best practices, and mentoring a team of engineers—all while delivering impactful solutions that power our products.
Our Stack:
Programming Languages: Python, GO and TypeScript
Frameworks: FastAPI, React, Remix, Vite
Relational Databases: MySQL, PostgreSQL
NoSQL Databases: ElasticSearch, DynamoDB
Infrastructure: AWS, Docker, Terraform
Operating Systems: Linux, Windows
What You'll Do
Data & Feature Development
— Design, develop, and deploy robust data pipelines, APIs, and backend services.
Optimize and scale AWS Redshift for analytical workloads, ensuring high performance.
Leverage
Amazon Bedrock
to build and integrate Generative AI-powered solutions.
Ensure high-quality results and timely delivery of product roadmap milestones.
Technical Leadership
Drive architectural decisions and design scalable data solutions.
Provide technical guidance on best practices for AWS Bedrock, Redshift, Kinesis, Kafka, and Spark.
Troubleshoot and resolve complex data-related issues.
Foster a culture of technical excellence, innovation, and collaboration.
Team Collaboration & Growth
Work closely with cross-functional teams to align data initiatives with business goals.
Mentor and support junior engineers, fostering a culture of continuous learning.
Identify opportunities to improve team processes and engineering standards.
Requirements
Professional Experience
— 5+ years of experience in designing and delivering scalable data engineering solutions.
Technical Proficiency
—
Expertise in AWS Redshift for high-performance data processing and analytics.
Hands-on experience with Amazon Bedrock and Generative AI technologies.
Strong programming skills in Python, Java, or Scala.
Deep knowledge of RESTful APIs, data modeling, and relational (SQL) + NoSQL databases.
Experience with streaming data technologies such as Amazon Kinesis or Apache Kafka.
Familiarity with open-source data processing frameworks like Apache Spark, Flink, or Storm.
Strong grasp of software engineering best practices, including CI/CD, testing, and version control (GitHub, AWS CodeBuild, GitHub Actions).
Cloud & Infrastructure
— Deep expertise in AWS services: Redshift, API Gateway, Lambda, EMR, EC2, ECS; experience with serverless architectures, containerization, and distributed data processing.
Communication & Problem-Solving
— Excellent problem-solving skills with a proactive approach to troubleshooting; strong written and verbal communication for technical and non-technical audiences.
SpyCloud is not sponsoring visas at this time.
Benefits & Perks U.S.-Based Benefits + Perks (for Full Time Employees): SpyCloud offers a comprehensive benefits package, including 401(k) with employer contribution; health, vision, and dental insurance; HSA with employer contribution; employer-paid life, short-term and long-term disability; generous PTO and holidays; flexible and remote-friendly options.
401(k) with Employer Contribution
Health, Vision, and Dental Insurance
Health Savings Account (HSA) available with Employer Contribution
Employer Paid Life, Short-term, and Long-term Disability Insurance
Generous PTO Plan and 16 paid holidays per year
U.K.-Based Benefits + Perks (for Full Time Employees): Retirement Savings Plan with Employer Contribution; Private Health Insurance and Healthcare Cashplan; Employer Paid Life Insurance and Income Replacement; Generous Holiday Plan and 14 paid holidays per year
About SpyCloud SpyCloud is on a mission to disrupt the cycle of cybercrime. As the leader in Cybercrime Analytics, our solutions thwart cyberattacks that originate from stolen data, including account takeover, ransomware, and online fraud. More than 550 customers and partners trust SpyCloud to protect users' identities, prevent targeted attacks, and unmask adversaries attempting to harm businesses and their customers.
Our mission is to make the internet a safer place by disrupting the criminal underground. Together with our customers and partners, we aim to end criminals' ability to profit from stolen information.
SpyCloud is an Equal Employment Opportunity and Affirmative Action employer. All employment decisions are based on merit and business needs. We do not discriminate on the basis of protected characteristics. We encourage women, minorities, individuals with disabilities, and protected veterans to apply.
If you need assistance or accommodation due to a disability, you may contact us.
Culture & Compliance Our culture is driven to disrupt the cybercriminal economy while keeping customer accounts safe. We value collaboration, accountability, and a thoughtful, inclusive environment. Our recruitment policies emphasize security from recruitment fraud; and we provide guidance to applicants on safe practices.
#J-18808-Ljbffr