Senior Data Engineer
Datavant
- Location
- US
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 160,000–200,000/yr
Posted 2mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Lead the design and evolution of scalable data platform infrastructure, orchestration frameworks, and modeling patterns
- Drive complex, cross-functional initiatives with broad scope
- Mentor and guide engineers across the team
- Facilitate technical discussions and architecture decisions
- Partner closely with stakeholders across Product, Engineering, Analytics, and Operations
- Design and maintain reliable, observable, and reusable data workflows
- Establish and evolve standards for testing, monitoring, incident response, operational reliability, security, and cost optimization
- Review and guide code, infrastructure, and architectural decisions
Requirements
- 7+ years of progressive experience in software development or data engineering
- Demonstrated leadership in complex technical initiatives and cross-functional collaboration
- AI-first mindset with hands-on experience leveraging AI-assisted engineering tools
- Deep expertise in modern data modeling and transformation practices
- Strong experience designing reusable pipeline frameworks and orchestration strategies using dbt, Apache Airflow, Python, and cloud-native technologies
- Strong experience designing and operating cloud-based data platforms in AWS, Azure, or GCP
- Experience leading platform reliability initiatives
- Strong familiarity with CI/CD pipelines, GitOps workflows, automated testing strategies, and modern software engineering best practices
- Strong technical leadership and communication skills
- Ability to lead through ambiguity, balance competing priorities, and drive high-impact initiatives
Preferred
- Prior experience in healthcare or another highly regulated industry
- Experience administering and optimizing Snowflake or similar cloud data warehouse platforms
- Hands-on experience with modern data stack technologies such as dbt, Fivetran Airflow, Kafka, Spark, Databricks, or streaming/event-driven architectures
- Strong understanding of data governance, privacy, lineage, and compliance frameworks
- Background as a Database Administrator, Data Analyst, Analytics Engineer, or similar data-focused role
- Experience building self-service data platforms, reusable developer tooling, or internal platform capabilities
- Experience supporting multi-cloud or hybrid-cloud infrastructure and networking patterns
Skills
- Python
- SQL
- dbt
- Airflow
- Terraform
- AWS
- Azure
- GCP
- Snowflake
- Fivetran
- Kafka
- Spark
- Databricks
- Claude Code
- Cursor
- GitHub Copilot
- ChatGPT
- GitOps
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