Data Engineer

California, Maryland, United StatesOnsiteContractPosted 2 months agoVisa sponsorship available

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Role summary

We are seeking an Associate Data Engineer with strong experience in Snowflake and Microsoft Azure to design, build, and optimize scalable cloud-based data solutions. This role focuses on developing robust data pipelines, ensuring data quality, and enabling high-performance analytics for business stakeholders. Key responsibilities include designing and developing ETL/ELT pipelines using Azure Data Factory, building Snowflake objects, integrating data into Azure Data Lake Storage, implementing data quality checks, optimizing performance and cost, applying security best practices, and collaborating with cross-functional teams. Familiarity with CI/CD tools and monitoring tools is also expected.

Position Overview

Key Responsibilities

- Design, develop, and maintain
ETL/ELT pipelines
using
Azure Data Factory (ADF)
and related Azure services
- Build and manage
Snowflake
objects including databases, schemas, tables, views, streams, tasks, and stored procedures
- Integrate data from multiple sources into
Azure Data Lake Storage (ADLS)
and Snowflake (structured & semi-structured)
- Implement data quality checks, monitoring, and error handling across pipelines
- Optimize performance and cost across Snowflake and Azure (query tuning, clustering, warehouse sizing)
- Apply security and governance best practices (Azure RBAC, Key Vault, networking, Snowflake roles/access controls)
- Collaborate with data analysts, data scientists, and business teams to deliver end-to-end data solutions
- Leverage CI/CD tools (Azure DevOps, GitHub Actions) for deployment, version control, and testing
- Monitor pipelines using Azure tools (Azure Monitor, Log Analytics) and Snowflake performance insights

Required Qualifications

- Hands-on experience with
Snowflake
(advanced SQL, performance tuning, streams, tasks, stored procedures)
- Strong experience building production-grade data pipelines on
Microsoft Azure (ADF required)
- Proficiency in
SQL
and at least one programming language (
Python or PowerShell
)
- Solid understanding of
data warehousing, dimensional modeling, and ETL/ELT concepts
- Experience with
Azure Data Lake Storage (ADLS)
and Snowflake integration
- Familiarity with monitoring/logging tools in Azure and Snowflake

Preferred Qualifications

- Experience with
Azure Synapse, Databricks, or Azure Functions
- Exposure to
AI/ML data pipelines
(feature engineering, model training datasets, inference pipelines)
- Familiarity with
Azure Machine Learning, Cognitive Services, or Azure OpenAI

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