Security Data Engineer wanted remotely in a U.S Company

  • Full Time
  • Remote



3-5 years minimum, hands-on experience deploying production quality code
Professional experience using Python, Java, or Scala for data processing (Python preferred)
Knowledge of and experience with data-related Python packages
Demonstrably deep understanding of SQL and analytical data warehouses (Snowflake preferred)
Hands-on experience implementing ETL (or ELT) best practices at scale.
Hands-on experience with data pipeline tools (Airflow, Luigi, Azkaban, dbt)
Experience with Salesforce, Zuora, Zendesk and Marketo as data sources and consuming data from SaaS application APIs.
Share and work in accordance with our values
Constantly improve product quality, security, and performance
Desire to continually keep up with advancements in data engineering practices
Catch bugs and style issues in code reviews
Ship large features independently
Successful completion of a background check
Ability to use GitLab
A shared interest in our values, and working in accordance with those values

What we are looking for in your Security Experience:
Strong knowledge of data security principles, best practices, and industry standards.
Experience with data protection technologies, such as encryption, tokenization, data loss prevention (DLP), and secure data storage.
Familiarity with security frameworks (e.g., NIST Cybersecurity Framework) and regulatory requirements (e.g., GDPR, HIPAA).
Proficiency in security assessment tools and techniques.
Knowledge of network protocols, firewall technologies, and intrusion detection/prevention systems (IDS/IPS).
Experience with security incident response and forensic investigation.
Ideally tertiary educated in Information Security or hold certifications preferred but not essential

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