More jobs:
Data Engineer; Azure & Snowflake - Fulltime
Job in
Seattle, King County, Washington, 98127, USA
Listed on 2026-02-07
Listing for:
Saransh Inc
Full Time, Seasonal/Temporary
position Listed on 2026-02-07
Job specializations:
-
IT/Tech
Data Engineer, Cloud Computing
Job Description & How to Apply Below
Overview
Role: Data Engineer (Azure and Snowflake)
Location: Seattle, WA (Onsite)
Job Type: Full Time
Must Have
Skills:
Snowflake, Azure, SQL
- The ideal candidate will be passionate about working with cutting-edge technologies to solve complex data engineering challenges.
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent experience).
- Proven experience as a Data Engineer with expertise in Azure, Databricks, DBT, and Snowflake.
- Strong experience with Azure Data Factory, Azure Databricks, Azure Data Lake, and other Azure cloud services for data integration and processing.
- Proficiency with DBT for implementing data transformation workflows, creating models, and writing SQL-based scripts.
- Expertise in working with Snowflake for data warehousing, including experience with schema design, performance tuning, and optimization.
- Strong experience with Apache Spark and working in Databricks for large-scale data processing.
- Solid programming skills in SQL (advanced), Python, and Scala for developing data pipelines and transformation logic.
- Experience with ETL/ELT processes, data orchestration, and automating data workflows using Azure and DBT.
- Knowledge of data governance, security, and best practices for cloud data architectures.
- Familiarity with version control systems like Git, and experience in Agile environments.
- DBT Certifications or experience with advanced features such as DBT testing, macros, and hooks.
- Azure, Databricks or Snowflake certifications
- Experience with Snowflake performance tuning, including optimization of queries, schemas, and data partitioning.
- Familiarity with CI/CD practices and experience building automated pipelines for data workflows.
- Knowledge of cloud cost optimization in Azure and Snowflake for better resource utilization.
- Seniority level:
Entry level - Employment type:
Full-time - Job function:
Information Technology - Industries: IT Services and IT Consulting
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