Data Engineer (AI & Data Pod) (W2 Only) (Manhattan)
$55 - $60 per hourCloudIngest
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Role: Data Engineer (AI & Data Pod)
Location: Manhattan, NY (Hybrid 3 days a week in the office)
Experience: 8-12 years
Duration: 12 Months
Rate: $55 - $60/hr (on W2) max!
Role Summary: Builds and maintains reliable data pipelines and platforms on-site, working with the Data Architect and AI team to deliver high-quality data for analytics and AI solutions.
Key Responsibilities
- Design, build, and optimize batch and streaming data pipelines
- Implement data models and transformations defined by the Data Architect
- Ingest and integrate data from multiple source systems and APIs
- Implement data quality checks, monitoring and alerting
- Optimize performance and cost of data workloads
- Collaborate with AI Developers and analysts to provision datasets
- Maintain documentation, version control and CI/CD for data code
- Work with offshore data engineers on knowledge transfer and delivery
Required Qualifications
- 5+ years in data engineering
- Strong SQL and Python (or Scala) skills
- Experience with orchestration tools such as Airflow or Azure Data Factory
- Hands-on experience with cloud data services and big data frameworks such as Spark
- Understanding of data warehousing and lakehouse concepts
- Familiarity with Git, CI/CD, and infrastructure-as-code
- Experience supporting ML/AI data needs is a plus
Key Skills
SQL | Python | Spark | Airflow / ADF | Cloud data services | CI/CD
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