Senior Software Engineer

Engineering · Full-time · CA, United States of America · Remote possible

Job description

Contrast Security Named One of the Hottest Cybersecurity Companies in the 2024 Citizens JMP Securities LLC Cyber 66 Report  Contrast recognized for its innovation in Runtime Security

Contrast Security is the world’s leading provider of security technology that enables software applications to protect themselves against cyberattacks, heralding the new era of self-protecting software. Contrast's patented deep security instrumentation is the breakthrough technology that enables highly accurate assessment and always-on protection of an entire application portfolio without disruptive scanning or expensive security experts. Only Contrast has sensors that work actively inside applications to uncover vulnerabilities, prevent data breaches, and secure the entire enterprise from development to operations to production.

About the Position

Contrast is seeking a Sr. Software Engineer - Data Platform to join our growing engineering team.The ideal candidate will have a strong background in data engineering and architecture and experience modernizing and scaling data platforms. You will be responsible for designing, implementing, and maintaining a robust data architecture that supports our business objectives. We are an innovative startup dedicated to leveraging cutting-edge technology to drive growth and efficiency. Our team is passionate about transforming data into actionable insights, and we are on a mission to modernize our data architecture to support our rapid growth. 

Responsibilities

  • Data Architecture Design: Design and implement scalable and efficient data architectures that support our business needs.
  • Data Pipeline Development: Develop and maintain data pipelines for ETL (Extract, Transform, Load) processes to ensure data is readily available for analysis and decision-making.
  • Cloud Integration: Integrate and manage data platforms on cloud services such as AWS, Azure, or GCP.
  • Performance optimization: Optimize data storage and retrieval processes for performance and cost-efficiency.
  • Collaboration: Work closely with data scientists, analysis, and other stakeholders to understand data needs and deliver solutions that meet those needs.
  • Data Governance: Implement and enforce data governance and security policies to ensure data privacy and compliance. Monitoring and troubleshooting: Monitor data platform performance and troubleshoot any issues that arise.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Information Technology or a related field.
  • Experience: 3+ years of experience in data engineering or a related role
  • Proficiency in SQL and NoSQL databases
  • Experience with ETL tools and processes
  • Strong programming skills in languages such as Java & Python
  • Experience with cloud platforms such as AWS, GCP, or Azure
  • Familiarity with data warehousing solutions such as Snowflake, Redshift, or BigQuery
  • Knowledge of big data technologies like Hadoop, Spark or Kafka
  • Experience with containerization and orchestration tools such as Docker and Kubernetes
  • Familiarity with CI/CD pipelines and DevOps practices
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration skills
  • Ability to work in a fast-paced, dynamic environment

We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.

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