Senior Data Engineer

Role Summary

We are seeking a highly skilled Senior Data Engineer with expertise in Fivetran, Snowflake, Dbt, AWS Glue, Python, SQL, and cloud-native data engineering. The ideal candidate will be responsible for building scalable data ingestion and transformation frameworks, enabling analytics, data products, and AI-driven initiatives across the enterprise.

7–10 years of overall experience in Data Engineering and Data Integration.

Key Responsibilities

• Design, develop, and maintain enterprise-scale data pipelines in Snowflake.

• Implement and manage data ingestion frameworks using Fivetran.

• Develop ETL/ELT workflows using Dbt, AWS Glue and PySpark.

• Build and optimize data lake solutions on AWS/Snowflake.

• Perform source-to-target mapping and support data migration initiatives.

• Implement data quality, validation, reconciliation, and monitoring frameworks.

• Develop reusable pipeline patterns and automation frameworks.

• Collaborate with architects, business stakeholders, and analytics teams to deliver trusted data products.

• Support AI and GenAI use cases by preparing and managing high-quality datasets.

• Follow DataOps, CI/CD, governance, and security best practices.

Required Technical Skills

Core Technologies

• Snowflake

• Fivetran

• Dbt

• AWS Glue

• Python

• SQL

• PySpark

Data Engineering

• ETL / ELT Development

• Data Warehousing

• Data Lake Architecture

• Source-to-Target Mapping

• Data Quality Frameworks

• Pipeline Automation

• Performance Optimization

DevOps / DataOps

• Git

• CI/CD Pipelines

• Agile Delivery

• Infrastructure Automation

Salary Range: $110,000 to $130,000 per year

Role: Engineer

Desired skills: AWS

Qualifications: BACHELOR OF COMPUTER SCIENCE

• Experience: 8 - 10 Years

• Job function: TECHNOLOGY

• Location: Dallas, TX

Salary range: $110,000–$130,000

Apply by: 2026-09-18 00:00:00