Data Engineer-5

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

Data Engineering

Cloud Technologies Experience

Job Type: Full Time

Job Category: IT

Job Description

Role: Data Engineer

Location: Dallas, TX

FTE

Role Summary

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

Data Platform

• 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

Required Skills

DevOps Engineer