Data Engineering Lead – Data, Cloud and AI
Electric Mind
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • United States
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Salary
💰 $170,000 - $220,000 per year
Job Level
About the role
- Contribute and validate the data and analytics architecture
- Establish engineering standards and best practices
- Design and build scalable data platforms and solutions using cloud-native services and cloud data platforms
- Expertise in implementing Data Products
- Implement ingestion, transformation, and orchestration pipelines
- Optimize performance and cost
- Implement and Integrated to CI/CD pipelines
- Observability and reliability best practices and enablement
- Enable ML pipelines and understanding of model deployment and monitoring
- Collaborate with data scientists and architects
Requirements
- 10+ years data engineering experience
- Strong Python and SQL skills
- Experience with at least one cloud provider (GCP priority)
- Knowledge of ML workflows and platform engineering
- Experience with DevOps and automation
- Experience in GCP data services (BigQuery, Dataflow, Vertex AI, Pub/Sub)
- Experience building framework-based capabilities
- Experience in Snowflake or Databricks
- Streaming architectures
- Experience leveraging AI/LLM code assists
- Modern data modeling approaches
Benefits
- Competitive salary
- Mentorship opportunities
- High-impact, high-visibility programs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLData ProductsCI/CDML pipelinesData ingestionData transformationData orchestrationStreaming architecturesModern data modeling
Soft Skills
collaborationcommunicationproblem-solvingleadershiporganizational skills