Data Engineer (Salesforce CRM)

Data Engineer (Salesforce CRM)

Posted Today by 1764307676

Negotiable
Outside
Remote
USA

Summary: The Data Engineer role focuses on leveraging Salesforce CRM data structures to design and maintain data pipelines. The position requires expertise in cloud and DevOps tools, with a preference for candidates familiar with Microsoft Fabric. The engagement is remote, targeting candidates in the east coast time zone, and is expected to last 10-14 weeks starting in early to mid-December.

Key Responsibilities:

  • Design and maintain data pipelines ingesting Salesforce CRM data.
  • Work with Salesforce CRM data structures.
  • Utilize Azure DevOps for repository and pipeline management.
  • Implement AWS services such as S3, EC2, and Lambda.
  • Use orchestration tools like Airflow.
  • Support migration, configuration, or pipeline deployment in Microsoft Fabric if required.

Key Skills:

  • Strong experience with Salesforce CRM data structures.
  • Hands-on experience with Azure DevOps and AWS.
  • Familiarity with Airflow or similar orchestration tools.
  • Exposure to Microsoft Fabric environments is preferred.
  • Understanding of data engineering components in Microsoft Fabric.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Engagement Details:

Job Title(s): Data Engineer

Duration: 10-14 weeks initial phase, starting early to mid-December (will break for holidays)

Location/Travel: Remote, east coast time-zone preferred

Required Expertise:

Salesforce CRM Expertise

  • Strong experience working with Salesforce CRM data structures
  • Ability to design and maintain pipelines ingesting Salesforce CRM data
  • Bonus: Experience with IQVIA CRM data feeds or pipeline integrations

Cloud, DevOps & Workflow Tools
Candidate should have hands-on experience with:

  • Azure DevOps (repos, pipeline management)
  • AWS (e.g., S3, EC2, Lambda, IAM basics)
  • Airflow (or similar orchestration tools)

Microsoft Fabric (preferred, not mandatory)

  • Exposure to or hands-on experience with Microsoft Fabric environments
  • Understanding of Fabric s data engineering components (Lakehouse, Pipelines, Dataflows, etc.)
  • Ability to support migration, configuration, or pipeline deployment in Fabric if required