Data Engineer – Snowflake Pipelines & Governance

Robotics Technologies LLC

Raleigh (NC)

On-site

USD 120,000 - 180,000

Full time

4 hours ago
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Job summary

Robotics Technologies LLC is seeking a senior data engineer to design, build, and operate secure, scalable data pipelines using Snowflake, DBT Cloud, Airflow, and Terraform. You will integrate diverse data sources, implement robust data governance, and drive cost-optimized architectures in a collaborative team environment.

You should have strong Python/SQL skills, experience with cloud services, and certifications in relevant technologies.

Qualifications

  • Strong hands-on experience building metadata-driven, automated, secured data pipelines.
  • Experience designing, building, and operating secure, cost-efficient Snowflake pipelines.
  • Hands-on DBT Cloud pipelines with macros and testing; maintain lineage.
  • Experience with Snowflake objects and performance tuning/cost optimization.
  • Experience using Astronomer Airflow and Terraform for IaaC automation.
  • Data pipelines across SQL Server, Oracle, Mainframe-DB2 and Snowflake sources.
  • Experience with AWS services: S3, Lambda, SQS, SNS, Glue, RDS.
  • Proficiency in Python, PySpark, and advanced SQL for ingestion frameworks.
  • Logging/monitoring experience with Snowflake ACCOUNT_USAGE and Splunk/Datadog.
  • Tokenization, RBAC, masking policies for data access controls.
  • Release management and disaster recovery planning; production readiness.
  • One or more certifications in relevant technology fields.

Skills

Team Player
Communication
Problem Solving
Partnership and Collaboration
Attention to Detail

Education

Certifications in relevant technologies

Tools

Snowflake
dbt Cloud
Astronomer Airflow
Terraform
Python
PySpark
SQL
AWS services
Splunk
Datadog
Kafka
Iceberg
Power BI

Job description

Robotics Technologies LLC is seeking a senior data engineer to design, build, and operate secure, scalable data pipelines using Snowflake, DBT Cloud, Airflow, and Terraform. You will integrate diverse data sources, implement robust data governance, and drive cost-optimized architectures in a collaborative team environment.

You should have strong Python/SQL skills, experience with cloud services, and certifications in relevant technologies.

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