Data Engineer

Northern Base; Dallas (TX); On-site; USD 110,000 - 180,000; Full time

Job summary

Northern Base is seeking a skilled Data Engineer in Dallas to design, develop, and optimize scalable data pipelines using Snowflake, dbt, and AWS. The role emphasizes modern data engineering practices and CoCo capabilities to accelerate delivery of trusted data products.

The candidate should bring 5+ years in data engineering with hands-on Snowflake and dbt experience, strong SQL, Python, and data modeling skills, and the ability to collaborate with analytics and governance teams to ensure data

Qualifications

• 5+ years in Data Engineering with hands-on Snowflake and dbt experience
• Strong experience designing, developing and optimizing scalable data pipelines
• Experience with ELT tools like Fivetran and cloud data platforms

Responsibilities

• Design, develop, and maintain scalable ELT/ETL pipelines using Snowflake and dbt
• Data ingestion with Fivetran or similar ELT tools
• Perform source-to-target mapping and implement data transformation frameworks
• Develop and optimize Snowflake databases, schemas, and data pipelines
• Implement data quality controls, reconciliation processes, and monitoring frameworks
• Optimize query performance, warehouse utilization, and overall platform efficiency
• Collaborate with architects, stakeholders, and analytics teams to deliver trusted data products
• Support DataOps and CI/CD practices for data engineering solutions
• Leverage Snowflake CoCo capabilities to accelerate data engineering activities
• Ensure compliance with security, governance, and data management standards

Skills

Snowflake

dbt

Fivetran

SQL

Python

Data Warehousing

ETL/ELT

Data Modeling

Source-to-Target Mapping

Data Quality

Performance Tuning

Snowflake CoCo

Security & Governance

Snowpipe

Streams & Tasks

Query Optimization

Warehouse Management

Tools

AWS

S3

Lambda

Terraform

Job description

Job Description

We are seeking a highly skilled Data Engineer with strong expertise in Snowflake, dbt, Fivetran, SQL, Python, and AWS to support enterprise data modernization initiatives. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines, data models, and reusable data products. Experience with Snowflake CoCo and modern cloud data engineering practices is highly desirable.

Experience

5+ years in Data Engineering with at least 3 years of hands‑on experience in Snowflake and dbt.

Key Responsibilities

• Design, develop, and maintain scalable ELT/ETL pipelines using Snowflake and dbt.
• Data ingestion experience with Fivetran or similar ELT tools.
• Perform source-to-target mapping and implement data transformation frameworks.
• Develop and optimize Snowflake databases, schemas, and data pipelines.
• Implement data quality controls, reconciliation processes, and monitoring frameworks.
• Optimize query performance, warehouse utilization, and overall platform efficiency.
• Collaborate with architects, business stakeholders, and analytics teams to deliver trusted data products.
• Support DataOps and CI/CD practices for data engineering solutions.
• Leverage Snowflake CoCo capabilities to accelerate data engineering activities.
• Ensure compliance with security, governance, and data management standards.

Required Technical Skills

• Snowflake
• dbt (Core / Cloud)
• Fivetran
• SQL (Advanced)
• Python
• Data Engineering
• Data Warehousing
• ETL / ELT Development
• Data Modeling
• Source-to-Target Mapping
• Data Quality & Reconciliation
• Performance Tuning
• Snowflake Expertise
• Snowpipe
• Streams & Tasks
• Data Sharing
• Role-Based Security
• Query Optimization
• Warehouse Management

Nice to Have:

• Cloud Technologies Experience
• AWS (Preferred)
• S3
• Lambda
• Cloud-native Data Services
• Terraform