[Hiring] Senior Data Engineer @Allshore Talent

Role Description

As our client’s organization continues to grow and expand our support for internal clients, we are seeking an experienced Senior Data Engineer with strong hands-on expertise in modern data engineering tools and cloud-based analytics platforms. This role will work across two internal departments, with Databricks serving as the highest-priority and most critical skillset for immediate consideration. The ideal candidate is a proactive problem solver with deep technical experience, the ability to work autonomously, and a strong track record of building scalable data pipelines in enterprise environments.

Key Responsibilities

• Facilities Department (Primary Scope)
  • Design, develop, and optimize scalable data pipelines using Databricks (highest priority)
  • Build, automate, and maintain ETL/ELT workflows aligned with organizational standards
  • Support data modeling, data quality, and pipeline orchestration within cloud environments
  • Collaborate with cross-functional teams to deliver reliable, production-ready data solutions
  • Leverage Microsoft Fabric for analytics, data integration, or reporting needs (medium priority)
  • Provide support for legacy systems when needed, including SQL Server, SSIS, SSRS, and SSAS
• Family History Department (Secondary Scope)
  • Develop and maintain data integrations and pipelines involving Oracle database environments
  • Work with various Data Services to ensure accessibility, accuracy, and reliability of datasets
  • Partner with internal stakeholders to refine requirements and optimize data workflows

Qualifications

• Extensive hands-on experience with Databricks, including Spark, Delta Lake, and notebook-based development
• Strong proficiency in Python, PySpark, SQL, and distributed data processing
• Demonstrated experience with cloud data engineering in enterprise settings
• Experience with Microsoft Fabric, Power BI, or Fabric-aligned tooling
• Working knowledge of legacy Microsoft data stack (SQL Server, SSIS, SSRS, SSAS)
• Experience working with Oracle databases and associated data services
• Ability to develop scalable, secure ETL/ELT pipelines using best practices
• Strong documentation, communication, and stakeholder-management skills

Nice-to-Have Skills

• Experience migrating or modernizing legacy BI/data systems
• Background in data quality frameworks, testing, or monitoring
• Familiarity with Azure Data Factory, Synapse, or other Microsoft cloud analytics components

Who You Are

• You are a senior-level data engineer who excels in fast-paced environments
• You can work independently as a contractor without requiring heavy oversight
• You are comfortable partnering with multiple stakeholder groups and adapting to shifting priorities
• You bring a strong sense of ownership, accountability, and problem-solving

Engagement Details

• Independent contractor role
• 35 to 40 hours per week
• Hourly rate: 23.75 USD to 25 USD, depending on experience
• Fully remote position