TITLE: Senior Data Engineer
LOCATION: Remote
BENEFITS: Medical, Dental & Vision, 4% match on 401(k)
OVERVIEW
The Senior Data Engineer will help design, build, and optimize modern data solutions in an Azure Databricks environment. This role focuses on creating scalable data pipelines, improving data quality, and enabling advanced analytics across the organization.
RESPONSIBILITIES
- Design and maintain data pipelines using Databricks, Spark (PySpark), and Delta Lake
- Build and optimize Azure Data Lake and lakehouse solutions
- Implement data quality, governance, and performance tuning best practices
- Partner with analysts to deliver curated, analytics-ready datasets
- Automate ingestion and deployment using Azure DevOps and CI/CD
- Participate in agile development and technical design discussions
EXPERIENCE REQUIRED
- 4+ years of experience as a Data Engineer
- Strong Python, PySpark, and SQL (SQL Server) skills
- Hands-on Databricks experience
- Experience with Azure (AWS or GCP considered)
- Git/version control and DevOps exposure
- Azure or Databricks certifications preferred
ABOUT BRIDGEVIEW
BridgeView is a talent and technology consulting company that helps business leaders build exceptional technology teams and deliver complex projects with confidence. Since 2005, BridgeView’s tenured recruiting team has built a vast network of niche technologists and executive leadership candidates to help our clients solve their most complex talent challenges. Paired with strategic consulting services, BridgeView further delivers project collaboration in the areas of people, process, and technology. This blended approach allows clients to adjust in real-time to align with their budgets while receiving Big 5 expertise to meet their objectives.
BridgeView. Within Sight.
We are an equal opportunity employer and value diversity. All employment decisions are made due to qualifications, merit, and business need. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.