Deepwatch

Data Engineer

Tampa, FL
USD 106k - 150k
Hadoop AWS Machine Learning Python Scala GCP TensorFlow PyTorch Java Spark Azure
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Description

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 tools and technologies to enhance data processing capabilities
  • Foster a culture of continuous improvement by encouraging experimentation and innovation within the team

 

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

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field or equivalent experience
  • Minimum of 5 years of experience in data engineering, with some experience supporting AI and ML projects 
  • Hands-on experience with data models, data mining, and segmentation techniques
  • Technical skills that include programming languages such as Python, Java, or Scala
  • Knowledge of big data technologies like Hadoop, Spark, and data warehousing solutions
  • Experience with cloud services like AWS, Azure, or Google Cloud
  • Experience with AI Frameworks such as TensorFlow, PyTorch, or similar frameworks a plus
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) 
  • Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues

 

ITAR Compliance

This position will have access to customer data and as such is subject to International Traffic in Arms Regulations (ITAR). Upon application, candidates will be asked to confirm that they are a U.S. Person as defined by the following:

  • A citizen of the U.S.;
  • A lawful permanent resident of the United States; 
  • A person admitted to the United States as a refugee; or
  • A person that has been granted asylum by the United States government.”

The intent of this requirement is not to verify employment eligibility overall, but to ensure compliance with import/export regulations. If you do not meet these requirements, we encourage you to apply for other open roles at Deepwatch. This information will be verified upon offer of employment.

The anticipated salary range for this role is $106,000 to $150,000 + stock options + benefits. Actual compensation may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level.

What We Offer:

Deepwatch is excited to provide benefits designed to support team members and their families. Including:

  • Medical, dental, vision, and disability insurance
  • Flexible Time Off (FTO), 9 company holidays, sick leave and 8-Weeks Paid Parental Leave
  • Unique professional development benefits, starting at $3,000 annually
  • Wellness contests and monthly educational programs
  • 401(K) retirement program with employer match
  • Learn more here: Deepwatch Benefits

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.  Please review our DEI Statement here.

Deepwatch welcomes and encourages applications from people with disabilities and accommodations are available on request for candidates taking part in all aspects of the selection process. Please inform your recruiter or contact recruiting@deepwatch.com for further information.

All Deepwatch employees are expected to:

  • Be interested in and able to work remotely from a home office when not at a corporate office
  • Pass a pre-employment background and drug screen in accordance with applicable laws

Deepwatch is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, marital status, sexual orientation, gender identity, genetic information, protected veteran status, or any other characteristic protected by law.  In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

By submitting your application, you agree that Deepwatch may collect your personal data for recruiting, global organization planning, and related purposes. The Deepwatch Privacy Policy explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over Deepwatch’s use of your personal information. 

Deepwatch
Deepwatch
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