Senior Data Engineer - job 1 of 2
Skills
- Experience designing and developing SQL or Python data pipelines
- Proficiency building big data pipelines with structured and unstructured data
- Familiarity with modern data orchestration tools such as DBT, AWS Glue, Apache NiFi, and Airflow
- Knowledge of test-driven development practices
- Experience with GitLab code development workflows
- Ability to develop infrastructure as code using tools like CloudFormation or Terraform
Responsibilities
- Architect, build, and deploy data acquisition initiatives across multiple tenants
- Participate in all stages of data pipeline development from brainstorming to deployment and troubleshooting
- Design, develop, deploy, and maintain data services and pipelines on AWS
- Implement best practices and automation for continuous data ingestion and pipeline workflows
- Manage multiple tasks under changing requirements and deadlines
- Prepare and present proofs of concept, solutions evaluations, and recommendations to stakeholders including executives
Education
- Relevant professional experience of 3+ years
- Background in data engineering or related technical fields
Benefits
- Top-tier medical, dental, and vision plans with employer-contributed health savings account and additional coverage options
- 8 weeks of parental leave
- Discounted pet insurance and Care.com membership with emergency backup care
- 15 days paid vacation, 6 federal holidays, 4 floating holidays
- TechEleX program offering choice of Mac or PC devices with replacement every 3 years plus option to keep old device
- Monthly internet reimbursement
- 3 days paid professional development annually with allowance for classes, conferences, certifications
- Employee wellness initiatives including Headspace membership and mental health coverage
Average salary estimate
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