Technology

In Person Interview Must | Senior Snowflake Data Engineer SQL, REST APIs & Power BI | Contract | New York City, NY Hybrid (Locals Or near by candidates only)

Anagha Techno SoftNew York, NY🇺🇸United StatesPosted Oct 22, 2026

Quick Overview

Seniority

Mid Senior

Work mode

On Site

Location

New York, NY, United States

Posted

21 hours ago

PL/SQLSQLETLSnowflakeData PipelineRESTAzurePower BIAzure Data Factory

Job Description

Senior Snowflake Data Engineer SQL, REST APIs & Power BI | Contract | New York City, NY Hybrid

Senior Snowflake Data Engineer SQL, REST APIs & Power BI

Job Type: Contract
Duration: 12+ Months
Location: New York City, NY Hybrid (3 Days Onsite per Week) - Local Or near by candidates Only

In person Interview Must

Job Overview

We are seeking an experienced Snowflake Data Engineer with strong hands-on expertise in Snowflake data warehousing, SQL/PL-SQL, data modeling, API integration, and Power BI semantic modeling.

The ideal candidate will have experience building scalable data solutions, ingesting structured and semi-structured data from multiple sources, and integrating cloud data platforms with enterprise applications. Candidates should also have working knowledge of Microsoft Azure and strong data engineering fundamentals.

Ideal Candidate

A hands-on Snowflake Data Engineer who combines strong SQL/PL-SQL and data modeling skills with semi-structured data ingestion, REST API integration, Power BI semantic modeling, and Azure knowledge.

Key Responsibilities

Design, develop, and maintain scalable data warehouse solutions using Snowflake.
Configure and optimize Snowflake virtual warehouses for workload performance and resource utilization.
Develop and maintain Snowflake data models to support enterprise reporting and analytics.
Build data ingestion pipelines for structured and semi-structured data, including JSON, Avro, and Parquet.
Integrate external applications and data sources using REST APIs and web services.
Develop, optimize, and troubleshoot complex SQL queries, stored procedures, and PL/SQL code.
Implement data transformation, validation, reconciliation, and quality checks.
Support Power BI semantic model development and data integration for reporting and analytics.
Work with Microsoft Azure services to support cloud-based data ingestion, storage, and processing.
Troubleshoot data pipeline failures, performance issues, and data inconsistencies.
Collaborate with data engineers, analysts, architects, and business stakeholders to deliver reliable data solutions.
Maintain technical documentation and follow established development and data quality standards.

Required Qualifications

5+ years of hands-on Snowflake experience.
Strong experience with Snowflake virtual warehouses and data warehouse configuration.
Proven experience in Snowflake data modeling and warehouse development.
Experience ingesting and processing semi-structured data into Snowflake.
Strong understanding of REST APIs and application/data integration.
Hands-on expertise in SQL and PL/SQL.
Experience developing or supporting Power BI semantic models.
Knowledge of Microsoft Azure and cloud data engineering concepts.
Strong analytical, debugging, problem-solving, and communication skills.
Ability to work onsite in New York City three days per week.
Willingness to attend an in-person client interview.

Preferred Qualifications

Experience with Azure Data Factory and Azure Data Lake Storage.
Familiarity with Snowflake features such as VARIANT, FLATTEN, stages, and Snowpipe.
Experience developing ETL/ELT pipelines and implementing data transformation workflows.
Knowledge of Power BI, DAX, and semantic model optimization.
Experience with data quality frameworks, monitoring, and performance tuning.