Senior Data Engineer

We’re seeking a Sr. Software Engineer – Data & BI to design, develop, and optimize scalable cloud-based data pipelines and analytics solutions using Azure Data Factory, Databricks, and Lakehouse architecture. This role partners closely with business teams to translate data needs into high-quality, secure, and scalable solutions while supporting Power BI reporting initiatives.

Key Responsibilities:

• Design, build, and maintain ETL/ELT pipelines with ADF and Databricks, including complex transformations using PySpark.
• Integrate data from cloud and on-prem systems, APIs, CRM, and telematics sources.
• Develop robust data models, schemas, and curated datasets optimized for analytics and BI.
• Maintain data governance, security, and lineage using Unity Catalog.
• Collaborate with business partners to gather requirements and translate into scalable solutions.
• Build and maintain Power BI dashboards; optimize datasets for reporting and KPI tracking.
• Contribute to version control, CI/CD, and deployment best practices.
• Mentor junior engineers and troubleshoot pipeline or infrastructure issues.

Required Skills:

• Expertise in Azure Data Factory, Databricks, PySpark, Azure Data Lake, and Lakehouse architecture.
• Strong Python and SQL skills; experience with diverse data source integration.
• Understanding of BI concepts and Power BI fundamentals.
• Excellent collaboration, communication, and problem-solving skills.

Preferred

Skills:

• Power BI dashboard creation and DAX/Power Query experience.
• Familiarity with Azure Synapse, Microsoft Fabric, and IaC tools (ARM, Terraform).

Qualifications:

• Bachelor’s in Computer Science, Information Systems, Engineering, or related field.
• 6–8 years of experience in data engineering, analytics engineering, or cloud data roles.

Compensation: $110,000 to $125,000 annually

Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications