Senior Data Engineer - Snowflake, dbt & AWS

Realign Llc; Dallas (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

Realign Llc in Dallas, TX seeks a Data Engineer to design, build, and optimize scalable data pipelines and models using Snowflake, dbt, Fivetran, SQL, Python, and AWS. You will join enterprise data modernization initiatives and own end-to-end data products.

The role requires 5+ years in data engineering with hands-on Snowflake and dbt experience; collaboration with architects, analytics, and stakeholders; data quality, governance, and CI/CD practices.

Qualifications

• 5+ years in Data Engineering with at least 3 years of hands-on Snowflake and dbt experience.
• Design, develop, and optimize scalable data pipelines, data models, and reusable data products.
• Experience with Snowflake CoCo and modern cloud data engineering practices is desirable.
• Data ingestion experience with Fivetran or similar ELT tools.

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.

Skills

Data Warehousing

ETL/ELT Development

Data Modeling

Source-to-Target Mapping

Data Quality & Reconciliation

Performance Tuning

Tools

Snowflake

dbt

Fivetran

SQL

Python

Job description

Realign Llc in Dallas, TX seeks a Data Engineer to design, build, and optimize scalable data pipelines and models using Snowflake, dbt, Fivetran, SQL, Python, and AWS. You will join enterprise data modernization initiatives and own end-to-end data products.

The role requires 5+ years in data engineering with hands-on Snowflake and dbt experience; collaboration with architects, analytics, and stakeholders; data quality, governance, and CI/CD practices.