Data Engineer

Come join Deepwatch’s team of world-class cybersecurity professionals and the brightest minds in the industry. If you're ready to challenge yourself with work that matters, then this is the place for you. We're redefining cybersecurity as one of the fastest growing companies in the U.S. – and we have a blast doing it!

Who We Are

Deepwatch is the leader in managed security services, protecting organizations from ever-increasing cyber threats 24/7/365. Powered by Deepwatch’s cloud-based security operations platform, Deepwatch provides the industry’s fastest, most comprehensive detection and automated response to cyber threats together with tailored guidance from dedicated experts to mitigate risk and measurably improve security posture. Hundreds of organizations, from Fortune 100 to mid-sized enterprises, trust Deepwatch to protect their business. 

Our core values drive everything we do at Deepwatch, including our approach to tackling tough cyber challenges. We seek out tenacious individuals who are passionate about solving complex problems and protecting our customers. At Deepwatch, every decision, process, and hire is made with a focus on improving our cybersecurity solutions and delivering an exceptional experience for our customers. By embracing our values, we create a culture of excellence that is dedicated to empowering our team members to explore their potential, expand their skill sets, and achieve their career aspirations, which is supported by our unique annual professional development benefit.

Deepwatch recognition includes:

• 2023, 2022 and 2021 Great Place to Work® Certified
• 2023 and 2022 Forbes America’s Best Startup Employers
• 2023 and 2022 Fortress Cybersecurity Award
• 2023 $180M Series C investment from Springcoast Capital Partners, Splunk Ventures, and Vista Credit Partners of Vista Equity Partners
• 2022 Cigna Healthy Workforce Silver Designation
• 2022 Cybersecurity Excellence Award for MDR

Data Engineer 

Location: This job is available to work in one of our hub locations: Tampa, FL; Denver, CO; DC metro area, CA (Bay area), Austin, TX and will be hybrid

Deepwatch is seeking a highly skilled Data Engineer to join our dynamic team. Reporting directly to the VP, MXDR Solutions Architecture, you will play a crucial role in managing and optimizing data architecture to support AI and machine learning models. The position requires collaboration with data scientists, AI engineers, and business stakeholders to meet technical and analytical needs. You will also perform data analysis to uncover business insights, maintain dashboards, and leverage advanced statistical techniques.

In this role you’ll get to support:

Data Architecture Management:

• Design and implement scalable, high-performance data architectures that support AI and machine learning models
• Develop and maintain data pipelines to ensure seamless data flow from various sources to data storage and processing systems
• Optimize data storage solutions for performance, cost, and scalability

ETL Processes:

• Develop, test, and maintain robust ETL processes to extract, transform, and load data from diverse sources
• Ensure data is processed efficiently and accurately, minimizing latency and maximizing throughput
• Automate ETL workflows to improve efficiency and reduce manual intervention

Data Quality Assurance:

• Implement data validation and cleansing procedures to ensure data integrity and consistency
• Monitor data quality metrics and perform regular audits to identify and resolve data issues
• Collaborate with data governance teams to establish and enforce data quality standards

Collaboration:

• Work closely with data scientists to understand their data needs and provide the necessary data infrastructure
• Partner with AI engineers to integrate data pipelines with machine learning models and AI applications
• Liaise with business stakeholders to gather requirements and translate them into technical specifications

Data Analysis:

• Perform exploratory data analysis to uncover insights and trends that inform business decisions
• Develop and maintain dashboards and reports to visualize key metrics and performance indicators
• Utilize statistical and machine learning techniques to analyze data and generate predictive models

Innovation:

• Stay abreast of the latest advancements in AI, machine learning, and data engineering technologies
• Evaluate and implement new