Senior 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

The Senior Data Engineer will innovate and create in a fast-paced organization that contributes to game-changing projects and technologies that get deployed in the cloud. As a senior data engineer at Deepwatch, you are proficient in designing and developing advanced data warehouse and data lake solutions to end-to-end data requirements for a variety of supported applications. You will be working with large, complex, and diverse data sets to meet real-world needs for Deepwatch and their customers, including end-user applications, business intelligence, artificial intelligence, and machine learning solutions. You will be working closely with business owners, analysts, subject matter experts, data scientists, architects and strategists to define the needs, in conjunction with other data experts on the team, to design and develop production solutions.

The successful candidate will possess technical skills that will allow you to be a technical data expert within our ecosystem as well as directly to end subject matter experts, line managers and executives. You will be able to drive discussions with senior technical and management personnel within the organization to showcase the needs and value of the data environment.

In this role, you’ll get to:

• Ideate. Work with experts to help define and execute on the evolving company-wide data requirements, which will drive impacts both internally and externally
• Innovate. Work with large, complex data sets to develop data pipelines, quality processes and solutions that meet or exceed expectations. In addition, you will look for new technologies and approaches to continually push the team towards novel and simpler ways to build solutions.
• Production. Help drive scalable solutions across the multitude of internal and external customers. Drive operational excellence through metrics driven approach.
• Interact. Work with Deepwatch’s internal stakeholders to gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture
• Problem Solve.  Provide alternate data solutions to complex problems, assessing the pros and cons of each solution. Continuously optimize solutions to improve overall data platform performance, availability and fault tolerance

To be successful in this role, you’ll need to demonstrate:

• 6+ years of data engineering, data warehousing, data modeling, and/or ETL/ELT experience
• Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Experience communicating with users, other technical teams, and management to col