CTC
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Job title:
Data Engineer
Duration: 12+ Months
Schedule: Mon - Friday 8am - 5pm EST
Job Summary
Our Data Engineers design, build, and optimize scalable data solutions that support enterprise analytics, operations, and strategic initiatives. These roles focus on modern data engineering practices, including Azure cloud services, Databricks, Spark, Python, SQL, automation, CI/CD, and data governance. They also collaborate across technical and business teams to deliver reliable, secure, and innovative data products. Some assignments may support specialized platforms such as Palantir Foundry or specific business domains (e.g., sourcing, transportation, or supplier data).
Required Skills
2–7+ years of experience in data engineering, analytics, platform integration, or related fields
Strong hands-on experience with:
Azure (data services, Functions, cloud integration)
Python and distributed computing concepts
Experience designing and supporting modern data pipelines and architectures
Strong SQL and database background (SQL/NoSQL)
Experience with orchestration or message-based systems
Experience with Terraform, GitHub, GitHub Actions, and CI/CD workflows
Experience with automation tools or frameworks (e.g., Ansible, Jenkins, Puppet)
Ability to monitor and optimize Databricks clusters and workflows
Familiarity with cataloging and lineage tools (Purview, Unity Catalog)
Understanding of data modeling, ingestion, integration patterns, and SDLC
Ability to design scalable, secure, high-quality data solutions
Strong analytical, problem-solving, and communication skills
Ability to work independently, stay organized, and manage multiple priorities
Experience collaborating with technical and business stakeholders
Ability to mentor junior team members
Experience with Palantir Foundry or similar enterprise data platforms
Consulting or advisory background
Familiarity with supplier, sourcing, or transportation data domains
Career Details
Mid-Senior level
Contract
IT Services and IT Consulting
#J-18808-Ljbffr
Data Engineer
Duration: 12+ Months
Schedule: Mon - Friday 8am - 5pm EST
Job Summary
Our Data Engineers design, build, and optimize scalable data solutions that support enterprise analytics, operations, and strategic initiatives. These roles focus on modern data engineering practices, including Azure cloud services, Databricks, Spark, Python, SQL, automation, CI/CD, and data governance. They also collaborate across technical and business teams to deliver reliable, secure, and innovative data products. Some assignments may support specialized platforms such as Palantir Foundry or specific business domains (e.g., sourcing, transportation, or supplier data).
Required Skills
2–7+ years of experience in data engineering, analytics, platform integration, or related fields
Strong hands-on experience with:
Azure (data services, Functions, cloud integration)
Python and distributed computing concepts
Experience designing and supporting modern data pipelines and architectures
Strong SQL and database background (SQL/NoSQL)
Experience with orchestration or message-based systems
Experience with Terraform, GitHub, GitHub Actions, and CI/CD workflows
Experience with automation tools or frameworks (e.g., Ansible, Jenkins, Puppet)
Ability to monitor and optimize Databricks clusters and workflows
Familiarity with cataloging and lineage tools (Purview, Unity Catalog)
Understanding of data modeling, ingestion, integration patterns, and SDLC
Ability to design scalable, secure, high-quality data solutions
Strong analytical, problem-solving, and communication skills
Ability to work independently, stay organized, and manage multiple priorities
Experience collaborating with technical and business stakeholders
Ability to mentor junior team members
Experience with Palantir Foundry or similar enterprise data platforms
Consulting or advisory background
Familiarity with supplier, sourcing, or transportation data domains
Career Details
Mid-Senior level
Contract
IT Services and IT Consulting
#J-18808-Ljbffr