Diverse Lynx
Role
-
Data Engineer Location
- Seattle, WA (Onsite) Experience - 8+Years
Job Description. • Design, build, and deploy data extraction, transformation, and loading processes and pipelines from various sources including databases, APIs, and data files. • Develop and support data pipelines within a Cloud Data Platform, such as Databricks • Build data models that reflect domain expertise, meet current business needs, and will remain flexible as strategy evolves • Monitor and optimize Databricks cluster performance, ensuring cost-effective scaling and resource utilization • Demonstrates ability to communicate technical concepts to non-technical audiences both in written and verbal form. • Demonstrates strong understanding with coding and programming concepts to build data pipelines (e.g. data transformation, data quality, data integration, etc.). • Demonstrates strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing). • Implement and maintain Delta Lake for optimized data storage, ensuring data reliability, performance, and versioning • Automate CI/CD pipelines for data workflows using Azure DevOps • Collaborate with cross-functional teams to support data governance using Databricks Unity Catalog
Essential Skills: • 7+ years of experience in data engineering or a related field • Expertise with programming languages such as Python/PySpark, SQL, or Scala • Experience working in a cloud environment (Azure preferred) with strong understanding of cloud data architecture • Hands-on experience with Databricks Cloud Data Platforms Required • Experience with workflow orchestration (e.g., Databricks Jobs, or Azure Data Factory pipelines) Required
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
-
Data Engineer Location
- Seattle, WA (Onsite) Experience - 8+Years
Job Description. • Design, build, and deploy data extraction, transformation, and loading processes and pipelines from various sources including databases, APIs, and data files. • Develop and support data pipelines within a Cloud Data Platform, such as Databricks • Build data models that reflect domain expertise, meet current business needs, and will remain flexible as strategy evolves • Monitor and optimize Databricks cluster performance, ensuring cost-effective scaling and resource utilization • Demonstrates ability to communicate technical concepts to non-technical audiences both in written and verbal form. • Demonstrates strong understanding with coding and programming concepts to build data pipelines (e.g. data transformation, data quality, data integration, etc.). • Demonstrates strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing). • Implement and maintain Delta Lake for optimized data storage, ensuring data reliability, performance, and versioning • Automate CI/CD pipelines for data workflows using Azure DevOps • Collaborate with cross-functional teams to support data governance using Databricks Unity Catalog
Essential Skills: • 7+ years of experience in data engineering or a related field • Expertise with programming languages such as Python/PySpark, SQL, or Scala • Experience working in a cloud environment (Azure preferred) with strong understanding of cloud data architecture • Hands-on experience with Databricks Cloud Data Platforms Required • Experience with workflow orchestration (e.g., Databricks Jobs, or Azure Data Factory pipelines) Required
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.