Data Engineering Manager

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$116,543 national median

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Data Engineering Manager United States Dragos is on a relentless mission to defend industrial organizations that provide us with the necessities of modern civilization; running water, functioning electricity, and safe industrial working environments. As the market leader in ICS/OT Cybersecurity, we are dedicated to arming our customers with best-in-class technology, threat intelligence, and services to protect their systems as effectively and efficiently as possible. We're a remote-first culture with operations in North America, Europe, the Middle East, and APAC. We're looking for mission-oriented teammates who embody our core values of authenticity, transparency, and trust. Are you ready to make a difference? Come join a mission that can save the world! About the Role : We are looking for a Data Engineering Manager to lead our data engineering team. The ideal candidate should have deep technical knowledge of data integration processes, exceptional leadership skills, and a proven ability to develop high-performing teams. Key responsibilities include fostering a collaborative culture, driving career growth, and aligning strategy with the overall engineering vision. Responsibilities : - Lead and mentor a team of data engineers, driving their technical growth and professional development. - Champion the vision and execution of scalable data processing systems. - Collaborate with product and engineering teams to consistently define data architecture and solution strategies. - Foster a strong technical community by developing close relationships amongst Engineering Managers. - Establish and drive engineering best practices, coding standards, and performance optimization strategies. - Provide guidance during software design, development, testing, and release. -

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