Data Engineer, Cybersecurity

This role is for a Data Engineer specializing in Cybersecurity, offering a 12+ month W2 contract. Required skills include 7+ years in data pipelines, Python, SQL, and cloud platforms. Experience with data governance and visualization tools is essential. 100% remote (USA only).
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
480
🗓️ - Date discovered
January 16, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Remote
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
United States
🧠 - Skills detailed
#Data Lake #Visualization #Fivetran #Airflow #Data Governance #PySpark #Tableau #Data Ingestion #Streamlit #Spark SQL #Snowflake #Spark (Apache Spark) #Cybersecurity #Metadata #Cloud #Storytelling #Data Management #Automation #Python #Databricks #SQL (Structured Query Language) #Data Science #dbt (data build tool) #Data Engineering #Plotly #Data Storytelling #Security #"ETL (Extract #Transform #Load)"
Role description
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Job Description

Looking for a DataEngineer (Cybersecurity).

12+ Months contract

W2 only

100% remote (Must be in USA)

Qualifications
• 7+ years of experience in building data engineering pipelines on both on-premise and cloud platforms (Snowflake, Databricks)
• Strong experience coding in Python, PySpark, SQL and building automations.
• Knowledge of Cybersecurity, IT infrastructure and Software concepts.
• Knowledge of IT Asset Management, ITIL, ITSM practices will be a plus.
• 3+ years of experience using data warehousing / data lake techniques in cloud environments.
• 3+ years of developing data visualizations using Tableau, Plotly, Streamlit
• Experience with ELT/ETL tools like dbt, Airflow, Cribl, Glue, FiveTran, AirByte, etc.
• Experience on capturing incremental data changes, streaming data ingestion and stream processing.
• Experience in processes supporting data governance, data structures, metadata management.
• Solid grasp of data and analytics concepts and methodologies including data science, data engineering, and data story-telling.