Snowflake python ETL engineer at Cloud Analytics Technologies LLC Boston, MA

Ellenco Estágios e Treinamentos

Boston (MA)

Hybrid

USD 110,000 - 160,000

Full time

14 days+

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Job summary

Ellenco Estágios e Treinamentos is seeking a Snowflake Python ETL Engineer in Boston, MA for a long-term contract. You design, develop, and maintain scalable data pipelines that load data into Snowflake, collaborating with data engineers, analysts, and business stakeholders.

You will implement Python-based ETL frameworks, optimize Snowflake performance, and orchestrate workflows with Airflow, dbt, or similar tools. Strong SQL and cloud platform experience are required.

Qualifications

  • Proven experience designing scalable data pipelines in Snowflake.
  • Strong Python-based ETL development experience with Pandas/PySpark/Snowpark.
  • Advanced SQL skills focused on Snowflake environments.
  • Familiarity with ETL/ELT orchestration tools and cloud platforms.
  • Knowledge of data modeling (star/snowflake) and data governance basics.

Responsibilities

  • Design, develop, and optimize ETL/ELT pipelines using Python for Snowflake ingestion and transformation.
  • Build and manage data transformations with Snowflake SQL, Python, and Snowpark.
  • Ingest data from databases, APIs, files, and cloud storage (S3, Azure, GCS).
  • Implement data validation, quality checks, and reconciliation processes.
  • Tune Snowflake performance via clustering, partitioning, and warehouse sizing.
  • Develop reusable Python modules and ETL automation frameworks.
  • Orchestrate workflows with Airflow, Azure Data Factory, dbt, or Control-M.
  • Implement CI/CD for data workflows and manage multi-environment deployments.
  • Monitor jobs, troubleshoot failures, and ensure SLA compliance.
  • Ensure data security and governance using RBAC, masking policies, and encryption.

Skills

Snowflake Data Cloud
Python ETL development
SQL (Snowflake)
ETL/ELT tools
Cloud platforms (AWS/Azure/GCP)
Data modeling (star/snowflake)
CI/CD, Git, DevOps
Data security, governance
Snowpark

Tools

Airflow
dbt
Control-M

Job description

Job Details

Job Title: Snowflake Python ETL Engineer
Location: Boston, MA (Hybrid 3 days onsite 2 days remote per week)
Duration: Long Term Contract

Job Summary

The Snowflake Python ETL Engineer is responsible for designing, developing, and maintaining scalable data pipelines that ingest, transform, and load data into Snowflake Data Cloud. This role involves working closely with data engineers, analysts, and business stakeholders to ensure reliable, performant, and secure data processing using Python-based ETL frameworks and cloud-native technologies.

Key Responsibilities
  • Design, develop, and optimize ETL/ELT pipelines using Python to load data into Snowflake
  • Build and manage data transformations using Snowflake SQL, Python, and Snowpark
  • Ingest data from multiple sources such as databases, APIs, flat files, and cloud storage (S3, Azure Blob, GCS)
  • Implement data validation, data quality checks, and reconciliation processes
  • Optimize Snowflake performance using clustering, partitioning, caching, and warehouse sizing
  • Develop reusable Python modules and frameworks for ETL automation
  • Orchestrate workflows using tools such as Airflow, Azure Data Factory, dbt, or Control‑M
  • Implement CI/CD pipelines for data workflows and manage deployments across environments
  • Monitor ETL jobs, troubleshoot failures, and ensure SLA compliance
  • Ensure data security and governance using RBAC, masking policies, and encryption
  • Collaborate with analytics, BI, and data science teams to support reporting and advanced analytics
Required Skills & Qualifications
  • Strong experience with Snowflake Data Cloud
  • Proficient in Python for ETL development (Pandas, PySpark, Snowpark)
  • Strong SQL skills, especially in Snowflake
  • Experience with ETL/ELT tools and orchestration frameworks
  • Knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform)
  • Experience with data modeling, star/snowflake schemas
  • Familiarity with CI/CD, Git, and DevOps practices
  • Understanding of data security, governance, and compliance
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