Staff Data Engineer at Headspace building privacy - first data platforms for mental health support. Leading data engineering strategies and mentoring team members to enhance data - driven decision making.
About the role
- Data Engineer II designing and building data pipelines for analytics at Honeywell. Collaborating with data scientists and product owners in a hybrid work setting in Charlotte, NC.
Responsibilities
- Design & build pipelines to ingest, transform, and publish structured/unstructured data from SFDC, EDW, ADLS, Event Hub, and APIs into Databricks/Snowflake, following Delta Lake and Unity Catalog standards
- Model data (star/snowflake, CDC, SCD, dimensional views) to support analytics (e.g., commercial pipeline metrics, quote/discount modeling)
- Operationalize ML/analytics pipelines including bronze→silver→gold processing, joins with model/market indicators, and serving outputs to applications/APIs
- Harden platforms: CI/CD with Azure DevOps; monitor jobs/clusters; optimize PySpark/SQL performance; enforce data governance (quality, privacy, lineage, access)
- Partner & document: collaborate with product owners and data science; write runbooks and technical specs; contribute to weekly updates and stewardship forums
Requirements
- Min 4 years of experience in data engineering, ETL, or database development/administration
- Hands‑on Azure Databricks, CI/CD & DevOps, and Snowflake experience
- Strong Python, SQL, PySpark; comfort with both structured and unstructured data
- Experience with Agile delivery
- Bachelor’s degree in a technical discipline such as science, technology, engineering, mathematics
- Experience with at least one NoSQL store (e.g., HBase/Cassandra/MongoDB)
- Familiarity with Hadoop ecosystem (HDFS, Spark), and data integration/ETL tools
- Exposure to ML ops tooling (MLflow), AKS‑backed API services, and integration patterns between Databricks, Snowflake, and application layers
- Demonstrated contributions to data quality/stewardship initiatives (lineage, metadata, GDM frameworks)
- Clear communication and ability to present technical trade‑offs to stakeholders
- Working knowledge of SFDC data model and commercial processes (opportunities, quotes, quote line items)
Benefits
- Comprehensive benefits package including employer-subsidized Medical, Dental, Vision, and Life Insurance
- Short-Term and Long-Term Disability
- 401(k) match
- Flexible Spending Accounts
- Health Savings Accounts
- EAP
- Educational Assistance
- Parental Leave
- Paid Time Off (for vacation, personal business, sick time, and parental leave)
- 12 Paid Holidays
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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