Senior Data Engineer
New
Fully remote work across the United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- SQLETLGCPMicrosoft SQL ServerTableauCI/CDData modelingdbt
Requirements
- 5+ years of experience in data engineering with strong SQL and ETL development skills
- Hands-on experience with SSIS and SQL Server–based data warehouse environments
- Strong proficiency in Google BigQuery or similar cloud data warehouses
- Experience with DBT or other modern data transformation frameworks
- Solid understanding of dimensional modeling and data warehousing principles
- Proven experience migrating on-prem data pipelines to cloud platforms
- Familiarity with GCP services such as Cloud Storage, Dataflow, Pub/Sub, Composer, and IAM
- Experience supporting BI tools such as Tableau is highly preferred
- Familiarity with Git-based CI/CD practices for data pipelines
- Exposure to infrastructure-as-code tools like Terraform is a plus
- Strong problem-solving mindset with a focus on automation, scalability, and data reliability
- Excellent collaboration skills and ability to work across BI, analytics, and engineering teams
Responsibilities
- Lead the migration of SSIS-based ETL pipelines to cloud-native workflows using DBT and GCP tools (Dataflow, Dataform, Cloud Composer)
- Design, build, and optimize scalable data models in BigQuery following dimensional modeling best practices
- Maintain and enhance SQL-based transformations to ensure performance, accuracy, and reliability in cloud environments
- Collaborate with BI teams to align data marts with Tableau reporting and analytics requirements
- Ensure data quality, lineage, integrity, and observability through testing, documentation, and monitoring practices
- Support the decommissioning of legacy on-prem systems and design hybrid transitional architectures where needed
- Establish engineering best practices and mentor junior data engineers in cloud data development patterns
- Partner with cross-functional teams to support secure, efficient, and well-governed data pipelines
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