Azure ETL Data Engineer

PeopleNTech LLC

Santa Clara, CA

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JOB DETAILS

SALARY

SKILLS

Automation, Computer Programming, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Analysis, Data Lake, Data Management, Data Modeling, Data Quality, Data Storage, Database Extract Transform and Load (ETL), Database Technology, DevOps, Git, Identify Issues, Information/Data Security (InfoSec), Microsoft .NET, Microsoft C# (C Sharp), Microsoft Windows Azure, Needs Assessment, Performance Management, Performance Tuning/Optimization, Query Optimization, Relational Databases (RDBMS), Reporting Dashboards, Root Cause Analysis, SQL (Structured Query Language), SQL Databases, Scalable System Development, Snowflake Schema, Star Schema, Stored Procedures, Validation Testing

LOCATION

Santa Clara, CA

POSTED

30 days ago

Role: Azure ETL Data Engineer
Location: McLean VA 22102
Max Rate: $50/hr

Key Responsibilities

Design, develop, and maintain scalable data pipelines using Azure Data Factory / Azure Data Pipelines (ADT).
Build and optimize ETL workflows to extract, transform, and load data from multiple structured and unstructured sources.
Develop data integration services and backend components using .NET (C#).
Write and optimize complex SQL queries, stored procedures, and performance-tuned database solutions.
Implement data quality checks, validation frameworks, and monitoring dashboards.
Work with cross-functional teams (Data Analysts, Architects, DevOps) to understand data needs and deliver robust solutions.
Ensure data security, compliance, and governance across pipelines and storage layers.
Troubleshoot data pipeline issues and drive root-cause analysis and resolutions.
Contribute to architecture discussions and recommend improvements for performance, scalability, and cost efficiency.

Required Skills & Qualifications

8+ years of professional experience as a Data Engineer or similar role.
Strong programming skills in .NET / C# for backend or data integration components.
Deep expertise in SQL including query optimization, indexing, stored procedures, and relational database concepts.
Proven experience building ETL pipelines and data workflows.
Hands-on experience with Azure Data Factory / Azure Data Pipelines (ADT) (heavy/advanced experience required).
Knowledge of Azure storage services such as Azure SQL DB, Synapse, Data Lake Storage (ADLS), Blob Storage.
Familiarity with CI/CD pipelines, Git, and deployment automation.
Understanding of data modeling concepts (star schema, snowflake, SCD, normalization).

About the Company

PeopleNTech LLC

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