What are the responsibilities and job description for the Data Engineer position at Photon?
Job Details
We have below opening for Data Engineer | Onsite - Vancouver, Washington, USA, for C2C please share your own W2 Candidate to
Job Title: Data Engineer
Location: Vancouver, Washington
Job Summary:
We are looking for a skilled Data Engineer with strong experience in Databricks, Azure, and SQL to join our growing data team. The ideal candidate will have a solid understanding of data warehousing concepts, dimensional modeling, and data lakes, with a passion for designing and optimizing high-performance data solutions. Experience with Power BI is a plus.
We are looking for a skilled Data Engineer with strong experience in Databricks, Azure, and SQL to join our growing data team. The ideal candidate will have a solid understanding of data warehousing concepts, dimensional modeling, and data lakes, with a passion for designing and optimizing high-performance data solutions. Experience with Power BI is a plus.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines using Azure and Databricks.
- Ensure data integrity, accuracy, and security across all stages of the data lifecycle.
- Implement and manage data lake and data warehouse architectures.
- Apply dimensional modeling and best practices in data warehousing to support reporting and analytics.
- Collaborate with data scientists, business analysts, and software developers to gather requirements and deliver data-driven solutions.
- Develop and tune ETL/ELT processes for performance and reliability on large-scale datasets.
- Monitor, troubleshoot, and optimize data processing jobs.
- Contribute to the design of analytics and reporting solutions; Power BI experience is a plus.
Required Skills and Qualifications:
- 5 years of experience in data engineering or a related role.
- Proficient in Databricks, Azure Data Services (Data Factory, Azure SQL, Data Lake Storage).
- Strong knowledge of SQL and experience with complex queries and performance tuning.
- Hands-on experience with data warehousing, dimensional modeling, and data lake architectures.
- Strong understanding of ETL/ELT processes and data pipeline orchestration.
- Familiarity with data governance, security, and compliance best practices.
- Experience working with large-scale, distributed data systems.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
