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Senior Data Engineer (SQL, DBT, Snowflake, ADF)

TekShapersNew York, NY🇺🇸United StatesPosted 1 Sept 2026

Why This Role Stands Out

Advance your career by designing cutting-edge data solutions with a focus on SQL, DBT, Snowflake, and ADF, leveraging AI tools for enhanced productivity. This on-site role in New York is ideal for experienced data engineers eager to make a significant impact within the investment management sector. Apply now to join a dynamic team and contribute to innovative data strategies.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
New York, NY, United States
Posted
11 hours ago
SQLETLScrumSnowflakeAgileAzureGitPythonStakeholder Managementdbt

Job Description

Senior Data Engineer (SQL, DBT, Snowflake, ADF)

Duration: 6+ Months

Location: New York, NY

Work Mode: Onsite

F2F interview required.

 

The Senior Data Engineer will design, develop, and optimize data solutions to support business processes and analytics within Investment Management. This role requires deep expertise in modern data engineering practices, cloud-native development, and advanced data transformation techniques. The engineer will work extensively with SQL, DBT, Snowflake, Azure Data Factory (ADF), Python, and job scheduling tools, while leveraging Azure Function Apps and Gen AI tools such as Cortex AI and GitHub Copilot for automation and productivity.

 

Management and Analytics.

  • Key Skills & Requirements
  • 10–12 years of hands-on Data Engineering experience with strong coding skills.
  • Strong expertise in SQL, Python, DBT, Snowflake, and Azure Data Factory (ADF).
  • Experience with Snowpark, Snowsight, and complex data transformation workflows.
  • Hands-on experience with ETL/ELT pipelines, dimensional modeling, and data warehousing.
  • Experience with job schedulers, Azure Function Apps, API integrations, and pipeline orchestration.
  • Strong knowledge of Git, CI/CD, DevSecOps, and Agile/Scrum.
  • Familiarity with Gen AI tools, including Snowflake Cortex AI and GitHub Copilot/Agent Skills, for development automation and productivity.
  • Strong understanding of data governance, security, and compliance.
  • Excellent troubleshooting, communication, stakeholder management, and collaboration skills.

 

Key Responsibilities

  • Design and implement scalable ADF, DBT, Python, and Snowflake data pipelines.
  • Develop and optimize SQL/DBT/Python/Snowpark transformation logic and data models.
  • Integrate job schedulers, APIs, ADF, and Azure Function Apps for automation and orchestration.
  • Leverage Gen AI tools to improve development speed, code quality, and automation.
  • Ensure data solutions meet governance, security, and compliance standards.
  • Collaborate with business and technical teams to translate requirements into scalable solutions.
  • Provide technical leadership and mentor junior data engineers.
  • Participate in Scrum ceremonies and continuous improvement initiatives.

 

 

Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

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