Senior Data Engineer — Snowflake, dbt, Fivetran on AWS

Motion Recruitment; Dallas (TX); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

Retirement Benefits

Paid Time Off

Life Insurance

Professional Development Opportunities

Job summary

Motion Recruitment is seeking a Senior Data Engineer for a growing enterprise data team in the North Dallas area. This full-time role requires onsite collaboration four days per week and offers the chance to shape a large-scale data modernization initiative.

The ideal candidate will have 5+ years of data engineering experience, deep Snowflake expertise, and hands-on work with Fivetran, dbt, and ETL/ELT pipelines across data ingestion, warehousing, and cloud platforms.

Qualifications

• 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.

Responsibilities

• Hands-On engineering work across the data lifecycle.
• Contribute to architecture and technical design discussions.
• Collaborate with teams to deliver enterprise-scale data solutions.

Skills

Data engineering

Snowflake

Fivetran

dbt

ETL/ELT

Data warehousing

Cloud technologies

Analytics engineering

Data governance

Data quality

Enterprise data products

Kafka/Streaming

Tools

Snowflake

Fivetran

dbt

Python

PySpark

Terraform

CI/CD

Job description

Motion Recruitment is seeking a Senior Data Engineer for a growing enterprise data team in the North Dallas area. This full-time role requires onsite collaboration four days per week and offers the chance to shape a large-scale data modernization initiative.

The ideal candidate will have 5+ years of data engineering experience, deep Snowflake expertise, and hands-on work with Fivetran, dbt, and ETL/ELT pipelines across data ingestion, warehousing, and cloud platforms.