United States onlyThis position is posted by Jobgether on behalf of a partner company. We are currently looking for a Manager, Data Engineering in the United States.
The Manager, Data Engineering will lead a team responsible for designing, building, and maintaining scalable data infrastructure and pipelines that support enterprise-wide decision-making. This role provides technical leadership while collaborating with data scientists, analysts, and cross-functional teams to ensure data integrity, availability, and security. You will oversee the development and optimization of ETL processes, implement best practices for data governance, and evaluate emerging technologies to enhance data processing capabilities. The position requires a hands-on, problem-solving mindset, with an emphasis on mentoring team members and delivering high-quality, reliable data solutions. You will have the opportunity to influence data strategy, drive innovation, and ensure the organization leverages data effectively to achieve its goals. This role supports a collaborative, inclusive, and high-performing environment.
Accountabilities:
- Lead and mentor a team of data engineers, fostering innovation, collaboration, and continuous improvement
- Design, implement, and optimize scalable data pipelines and ETL processes to meet evolving business needs
- Collaborate with data scientists, analysts, and stakeholders to gather requirements and deliver data solutions
- Ensure data quality, governance, security, and compliance with industry standards and best practices
- Evaluate and integrate new tools, platforms, and technologies to enhance data infrastructure and processing capabilities
- Monitor and maintain data system performance, troubleshooting and resolving issues proactively
- Proven experience in data engineering, with a strong understanding of data architecture, ETL processes, and pipeline design
- Proficiency in programming languages such as Python, Java, or Scala
- Experience with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (Hadoop, Spark)
- Strong leadership skills, with experience managing and mentoring data engineering teams
- Excellent communication and collaboration skills, with the ability to work effectively across technical and non-technical teams
- Knowledge of data governance, security, and compliance best practices
- Competitive salary with consideration for experience and qualifications
- Health, dental, and vision insurance coverage
- Paid time off and flexible leave policies
- 401(k) plan with company matching
- Remote work flexibility with opportunities for hybrid collaboration
- Professional development and career growth opportunities
- Inclusive and collaborative work culture that values diversity and innovation
Requirements:
Benefits:
Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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