Job Description
Senior Data Engineer (Python, Snowflake Development)
NYC Need Local in person Interview
Long Term
Contract
Design, build, and deploy end-to-end data pipelines for large-scale data processing.
Develop and maintain backend data services and APIs to support data consumption.
Perform Snowflake data modeling, including schema design, optimization, and performance tuning.
Implement ELT/ETL processes for structured and semi-structured data sources.
Optimize data storage, query performance, and cost efficiency in Snowflake.
Ensure data quality, reliability, security, and governance across pipelines.
Collaborate with Data Scientists, Analysts, and Business stakeholders to understand data needs.
Implement monitoring, logging, and alerting for data pipelines.
Support CI/CD pipelines for data engineering deployments.
Document data flows, architectures, and best practices.
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Required Skills & Qualifications
10+ years of experience in Data Engineering or related roles.
Strong hands-on experience with Snowflake (data modeling, performance tuning, security).
Expertise in SQL and data transformation techniques.
Proficiency in Python and/or Java for backend data processing.
Experience building scalable ETL/ELT pipelines.
Knowledge of data orchestration tools (Airflow, Azure Data Factory, or similar).
Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
Familiarity with CI/CD, Git, and DevOps practices.
Strong problem-solving and communication skills.
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Nice to Have
Experience with streaming technologies (Kafka, Kinesis).
Exposure to dbt or modern transformation frameworks.
Experience in large-scale enterprise or regulated environments.
Knowledge of data governance and metadata management tools.
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