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# Associate Data Solutions Engineer

- **Company:** Higher Logic
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Governance, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, Digital Assets, Python (Programming Language), SQL Databases, Data Streaming, Unstructured Data, Data Pipelines, Automation Anywhere, Databricks
- **Published:** June 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c7d26b83abe78b1d

## About the Role

Do you have experience in SQL?, * 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.

## Description

The Associate Data Solutions Engineer supports 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. This role is critical in building our data warehouse and enabling AI capabilities across the organization and reports directly to the Chief Data Officer. The engineer works closely with internal stakeholders across departments to ensure data is reliable, accessible, and actionable for both operational and strategic use., * 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.
 * All other duties as assigned.


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