sparq

Senior Data Engineer

sparq

full-time

Posted on:

Location Type: Hybrid

Location: United States

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About the role

  • Design and implement scalable and high-performance data pipelines using Snowflake or Matillion, DBT, and the Microsoft Data Stack (Azure SQL Database, Azure Data Factory, Azure Synapse Analytics).
  • Collaborate with cross-functional teams to gather requirements, define project scope, and develop data models.
  • Provide technical leadership and mentorship to junior data engineers, guiding them in best practices and coding standards.
  • Conduct code reviews to ensure quality, performance, and adherence to best practices.
  • Serve as a subject matter expert in Snowflake or Matillion, DBT, and the Microsoft Data Stack, staying abreast of industry trends and advancements.
  • Troubleshoot and optimize existing data pipelines and processes to improve performance and reliability.
  • Create and maintain technical documentation, including architecture diagrams, design documents, and implementation guides.

Requirements

  • 5+ years of experience in data engineering, with a focus on cloud-based data platforms.
  • Extensive hands-on experience with either Snowflake or Matillion, DBT, and the Microsoft Data Stack (Azure SQL Database, Azure Data Factory, Azure Synapse Analytics).
  • Proficiency in SQL and Python for data manipulation and transformation.
  • Experience with other cloud platforms such as AWS, GCP, or Azure is a plus.
  • Strong problem-solving skills and the ability to troubleshoot and optimize data pipelines and processes.
  • Excellent communication and interpersonal skills, with the ability to effectively collaborate with both technical and non-technical stakeholders.
  • Prior experience in a leadership or mentorship role is highly desirable.
  • Demonstrated ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
Benefits
  • Opportunity to collaborate with a diverse group of colleagues in a fun, creative environment
  • Progressive career journey and opportunity for advancement
  • Continuous development through training, mentorship and certification programs
  • Exposure to modern technologies across various industries in an agile environment
  • Flexibility to work remotely, onsite or a hybrid of both as desired in certain locations
  • Competitive salary + bonus opportunities
  • Robust benefits package, matching 401(k) plan, and substantial PTO
  • Tuition reimbursement
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringdata pipelinesSQLPythonSnowflakeMatillionDBTAzure SQL DatabaseAzure Data FactoryAzure Synapse Analytics
Soft Skills
problem-solvingcommunicationinterpersonal skillscollaborationleadershipmentorshipadaptabilitytime managementproject scope definitiontechnical documentation