Engineering Manager, Technical Operations - Dat...
@ Talentify.io

Hybrid
$215,000
Hybrid
Full Time
Posted 22 days ago

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XXXXXXXX XXXXXXXXXXX XXXXXXXXX***** @talentify.io
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Job Details

Why Consider This Job Opportunity

Enjoy a competitive salary up to $215,000 per year, bonus eligibility, equity grants, comprehensive wellness programs, and a remote-friendly, flexible work culture. Professional growth and development accompany this Great Place to Work Certified™ opportunity.

What To Expect (Job Responsibilities)

  • Provide strategic leadership to empower a team of data engineers.
  • Drive cost optimization across data infrastructure and efficiency measures.
  • Oversee design and implementation of scalable pipelines, ETL processes, and analytics solutions.
  • Manage resource allocation, budgeting, and forecasting for projects.
  • Develop KPIs and metrics for performance and cost optimization success.

What Is Required (Qualifications)

  • Bachelor's degree in Computer Science, Engineering, or related field; Master's preferred.
  • 7+ years in data engineering/analytics with 3+ years in management.
  • Strong understanding of data pipeline architectures, cloud infrastructure, and cost optimization.
  • Experience in managing budgets, AWS, GCP, Azure, OCI environments, Apache Airflow, DBT, and SQL.

How To Stand Out (Preferred Qualifications)

  • Background in cybersecurity or handling security-related data.
  • MBA or advanced degree in a quantitative field.
  • Proven record of significant cost-saving initiatives in data infrastructure.
  • Experience speaking at industry conferences or publishing on data engineering topics.

Key skills/competency

  • cybersecurity
  • cost optimization
  • data engineering
  • cloud infrastructure
  • leadership
  • AWS
  • analytics
  • ETL
  • pipelines
  • management
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How to Get Hired at Talentify.io

🎯 Tips for Getting Hired

  • Research Talentify.io culture: Study mission, values, and latest news.
  • Customize your resume: Highlight data engineering and cost optimization experience.
  • Showcase leadership: Emphasize team empowerment and management skills.
  • Prepare cloud examples: Detail AWS, GCP, Azure, OCI projects.

📝 Interview Preparation Advice

Technical Preparation

Review data pipeline architectures.
Study cloud cost optimization methods.
Practice ETL process setup.
Refresh SQL and Apache Airflow skills.

Behavioral Questions

Describe managing remote teams.
Explain cost optimization challenges.
Discuss leadership in data projects.
How do you empower team autonomy?

Frequently Asked Questions