
Manager, Data Engineering
Keeper Security, Inc.
full-time
Posted on:
Location Type: Remote
Location: Remote • California • 🇺🇸 United States
Visit company websiteJob Level
SeniorLead
Tech Stack
Amazon RedshiftAWSCloudNoSQLPythonSQLTableau
About the role
- Lead, mentor and develop a high-performing team of data engineers and data analysts.
- Define and communicate the strategic vision for data infrastructure that enables self-service analytics and accelerates time to insight
- Oversee the design and development of scalable data pipelines to ingest, transform and deliver high-quality data from various sources
- Implement data quality frameworks, monitoring systems and validation processes to ensure accuracy, consistency and reliability
- Partner with data scientists, analysts and software engineers to design and implement complex data models and analytical solutions
- Guide the development and automation of data processing workflows
- Maintain hands on technical proficiency to accurately assess task complexity, review code and validate time estimates
- Drive performance management processes including goal setting, feedback cycles and performance improvement plans when needed
- Foster a culture of transparency where team members surface risks and delays early
- Collaborate with non-technical stakeholders to gather requirements, communicate technical concepts and deliver actionable, data-driven insights
- Drive continuous improvement, operational excellence and innovation within the Data Engineering team
Requirements
- 10+ years of professional experience in data engineering or software engineering, including 4+ years in a leadership or management role
- Strong expertise in building and optimizing large-scale data pipelines using modern data technologies (in AWS)
- Experience with cloud-based data warehousing solutions (Amazon Redshift, dbt, Tableau)
- Proficiency in SQL and Python along with strong knowledge of data modeling principles
- Solid understanding of database systems, including SQL, NoSQL and distributed database concepts
- Experience with data security, privacy principles and regulated data environments
- Strong foundation in software engineering principles, version control, testing and deployment best practices
- Proven track record of building accountability systems and improving team velocity/predictability
- Experience estimating data engineering work and managing against deadlines in a fast paced environment
- Hands on technical skills sufficient to review pull requests, validate architectural decisions and assess technical complexity
- Bachelor’s degree in Computer Science, Engineering, Statistics or a related field
- Keeper is FedRAMP authorized; therefore all applicants must be a U.S. Person
Benefits
- Medical, Dental & Vision (inclusive of domestic partnerships)
- Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life
- Voluntary Short/Long Term Disability Insurance
- 401K (Roth/Traditional)
- A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc)
- Above market annual bonuses
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringsoftware engineeringdata pipelinesSQLPythondata modelingNoSQLcloud-based data warehousingdata securitydata privacy
Soft skills
leadershipmentoringcommunicationcollaborationperformance managementgoal settingtransparencycontinuous improvementoperational excellenceinnovation