Data Engineer Contractor — Cloud Pipelines & Analytics

United States Digital Space LLC; United States; Hybrid; USD 112,963 - 170,822; Full time

Job summary

The company LLP is seeking data engineers to work as contractors to build scalable data pipelines and enterprise architectures. Roles include hands-on engineering (3–7 years) and technical leadership (8+ years), with options for Hybrid, Remote, or Onsite work arrangements.

Candidates will leverage Databricks, Snowflake, and dbt to deliver end-to-end data solutions and collaborate across data science, analytics, and software teams.

Qualifications

• Hands-on Python and PySpark experience.
• Experience with Databricks, Snowflake and dbt for data pipelines.
• Knowledge of data modeling and analytics workflows.

Responsibilities

• Design, build, and maintain scalable data pipelines and architectures.
• Transform and model large datasets to support analytics.
• Collaborate with data scientists, analysts, and engineers to deliver end-to-end solutions.
• Lead offshore resources and act as technical liaison for client engagements (8+ years).

Skills

Python

PySpark

Generative AI concepts

Data modeling

Tools

Databricks

Snowflake

dbt

Azure Data Factory

Job description

The company LLP is seeking data engineers to work as contractors to build scalable data pipelines and enterprise architectures. Roles include hands-on engineering (3–7 years) and technical leadership (8+ years), with options for Hybrid, Remote, or Onsite work arrangements.

Candidates will leverage Databricks, Snowflake, and dbt to deliver end-to-end data solutions and collaborate across data science, analytics, and software teams.