Data Engineer

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COFENSE

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

🔒 Cybersecurity

☁️ SaaS

🤝 B2B

Cybersecurity • SaaS • B2B

COFENSE is a cybersecurity company that specializes in phishing detection and response. Its platform combines expert-supervised AI, real-time threat intelligence, security awareness training, and managed services to find and remediate email, SMS, voice, and chat phishing attacks that bypass traditional defenses. The SaaS solution integrates with existing security controls to reduce dwell time, automate remediation, and continuously train employees to lower phishing risk for enterprise customers.

📋 Description

• Responsible for integrating enterprise wide data from Cofense’s Cyber Security based Applications, Micro-services and other disparate data sources • Work with Architects & Cloud Systems Engineers in designing Data Platform and Architecture • Develop Data Pipelines on Cloud Technologies like Azure/AWS with well-defined tool frameworks • Able to develop ETL code to stream data from disparate data stores to Data Lake/Data Warehouse using Python, Azure/AWS Data Lake services • Ability to write complex SQL scripts and automate them using Python • Develop test cases and unit tests for key implementations of Data Platform by adhering to software engineering best practices and standards • Secure data end-to-end by complying data privacy rules while developing processes to move data across Applications/Data Sources and Data Lake/Data Warehouse • Help integrate Data Platform with BI tools like Power BI, Tableau, Splunk etc. • Develop data transformations to generate Facts, Summaries, Key metrics by applying business rulesets and aggregations using Python, SQL and other transformation tools • Collaborate with business users across Cofense’s departments in defining requirements, prioritize project work and deliver them timely

🎯 Requirements

• Bachelor’s degree in Computer Science or Math, Data Analytics, Data Sciences, BI or demonstrated industry experience preferred • Over 5 years of proven experience in data architecture, data modelling, and lifecycle management • Hands-on experience with relational and cloud databases, including Azure SQL Database, Microsoft SQL Server, Amazon Aurora, and Amazon Redshift • Strong background in developing Python and data technologies • Practical experience designing and developing ETL data pipelines and applications using SQL and Python • Strong expertise in writing complex SQL queries for data transformation and automating processes using Python • Experience building and consuming RESTful APIs using Python libraries • Proficient in integrating data platforms with BI tools such as Power BI and Splunk, including dashboard and report development • Solid experience working with Unix/Linux environments, including SSH tunnelling and writing/interpreting Bash scripts • Advanced proficiency in Python 3, with hands-on experience using NumPy, SciPy, Scikit-learn, and Pandas • Experience leveraging APIs to extract data and load it into databases using Python.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options