Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Dallas, TX, United States
Posted
Yesterday
AWSETLSnowflakeKafkaPythonTerraformdbt
Job Description
We are seeking a Senior Data Engineer to join a growing enterprise data team within a leading financial services organization in the North Dallas area. This full-time opportunity requires onsite collaboration four days per week and offers the chance to play a key role in a large-scale data modernization initiative. The organization is making significant investments in modern data platforms, cloud technologies, and enterprise data products, creating an exciting environment for engineers who want to build scalable solutions, influence technical direction, and help shape the future of a rapidly expanding data organization.
This team is being built from the ground up under new data leadership with a mission to centralize data, modernize analytics capabilities, and deliver scalable data products across the business. The ideal candidate is a well-rounded data engineer with experience across data ingestion, ETL/ELT development, data warehousing, and cloud technologies. You'll have the opportunity to work throughout the entire data lifecycle while helping establish engineering standards, best practices, and enterprise-scale solutions built on Snowflake and AWS.
Required Skills & Experience
5+ years of Data Engineering experience
Strong Snowflake experience including warehouse sizing, clustering, partitioning, and performance optimization
Experience with Fivetran data ingestion and CDC pipelines
Strong dbt experience including staging, intermediate, and mart layer development
ETL/ELT pipeline development experience Desired Skills & Experience
Data warehouse architecture experience
Analytics engineering expertise
Data governance and data quality experience
Experience building enterprise data products
Kafka or streaming platform experience
What You Will Be Doing
Tech Breakdown
20% Data Ingestion & Fivetran
10% Python/PySpark Development
10% DevOps, Terraform & CI/CD
Daily Responsibilities
80% Hands-On Engineering
10% Architecture & Technical Design
10% Team Collaboration
The Offer
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Retirement Benefits
Paid Time Off
Life Insurance
Professional Development Opportunities
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
This team is being built from the ground up under new data leadership with a mission to centralize data, modernize analytics capabilities, and deliver scalable data products across the business. The ideal candidate is a well-rounded data engineer with experience across data ingestion, ETL/ELT development, data warehousing, and cloud technologies. You'll have the opportunity to work throughout the entire data lifecycle while helping establish engineering standards, best practices, and enterprise-scale solutions built on Snowflake and AWS.
Required Skills & Experience
5+ years of Data Engineering experience
Strong Snowflake experience including warehouse sizing, clustering, partitioning, and performance optimization
Experience with Fivetran data ingestion and CDC pipelines
Strong dbt experience including staging, intermediate, and mart layer development
ETL/ELT pipeline development experience Desired Skills & Experience
Data warehouse architecture experience
Analytics engineering expertise
Data governance and data quality experience
Experience building enterprise data products
Kafka or streaming platform experience
What You Will Be Doing
Tech Breakdown
- 35% Snowflake & Data Warehousing
20% Data Ingestion & Fivetran
10% Python/PySpark Development
10% DevOps, Terraform & CI/CD
Daily Responsibilities
80% Hands-On Engineering
10% Architecture & Technical Design
10% Team Collaboration
The Offer
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Retirement Benefits
Paid Time Off
Life Insurance
Professional Development Opportunities
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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