Data Solutions Engineer
Higher Logic
full-time
Posted on:
Location: 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
ETLPythonSQL
About the role
- Support Higher Logic’s strategic data initiatives by designing, developing, and scaling data pipelines and models that enable analytics, business intelligence, and AI workflows using both structured and unstructured data.
- Build and maintain scalable ETL/ELT pipelines to ingest structured and unstructured data into the data warehouse.
- Develop and optimize data models to support reporting, dashboards, and operational insights.
- Write clean, efficient, and reusable SQL and Python code to transform raw data into business-ready outputs.
- Collaborate with analytics and business stakeholders to understand data requirements and deliver practical solutions.
- Monitor pipeline performance and ensure reliability, accuracy, and timeliness of data flows.
- Design frameworks for triggering AI workflows based on business rules and data events.
- Serve as a subject matter expert on data best practices, including schema design, data governance, and data security.
- Partner with cross-functional teams to align data assets with enterprise goals, AI enablement, and automation strategies.
- Drive adoption of new data tools and methodologies, such as DBT, Iceberg, or similar modern data stack technologies.
- Report directly to the Chief Data Officer and work closely with internal stakeholders across departments to ensure data is reliable, accessible, and actionable.
Requirements
- Proficiency in SQL and Python for data processing and transformation.
- Familiarity with modern data warehousing tools (e.g., DBT, Iceberg, Databricks, or similar).
- Experience working with both structured and unstructured data sources.
- Understanding of data quality, observability, and monitoring principles.
- Strong communication and collaboration skills to support cross-functional work.
- Ability to work independently and adapt to evolving data needs.