> Markdown version of [/jobs/ext/3639305-analytics-engineer-ii-marketing-technology-remote](https://www.wearedevelopers.com/jobs/ext/3639305-analytics-engineer-ii-marketing-technology-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Analytics Engineer II, Marketing Technology - Remote

- **Company:** Digital Insurance LLC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $95,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Data Analysis, Automation of Tests, Microsoft Azure, Business Intelligence Development, Cloud Database, Cloud Storage, Information Systems, Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Dataspaces, Data Systems, Relational Databases, Database Queries, Dimensional Modeling, Microsoft Dynamics, Power BI, Salesforce.Com, SQL Databases, Data Streaming, Tableau (Software), Data Processing, Azure Data Factory, Snowflake, Git, Information Technology, Domo, Hubspot, Software Version Control, Data Pipelines, Api Management
- **Published:** October 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=238a27c5210ae789

## About the Role

Must be eligible to work in the United States without the need for work visa or residency sponsorship., * 2-4 years of experience in analytics engineering, business intelligence, or data engineering

 * Strong SQL skills and experience with cloud data warehouses (Snowflake preferred)
 * Experience building ETL/ELT processes
 * Experience with Domo, Power BI, Tableau, or similar BI platforms
 * Understanding of dimensional modeling and relational databases
 * Experience with Git or version control
 * Working understanding of data security and privacy best practices
 * Strong written and verbal communication, including explaining findings to non-technical stakeholders Strong prioritization skills and the ability to manage multiple requests with minimal supervision
*, * Marketing or sales analytics experience

 * Salesforce, HubSpot, Microsoft Dynamics, and API integrations
 * Azure Data Factory or Azure Blob Storage; Coalesce or similar tools
 * CI/CD and automated testing for data pipelines
 * Exposure to preparing datasets for ML/AI; familiarity with data governance frameworks Bachelor's degree in computer science, data science, information systems, or a related field (equivalent experience considered)
*

Desired Characteristics
Curious about how data supports business decisions, takes initiative, troubleshoots methodically, values documentation and responsible data handling, and is eager to grow technical, business, and AI/ML knowledge.

## Description

The Analytics Engineer II sits on the Marketing Technology team and develops, maintains, and improves the data solutions that support Marketing and growth reporting. The role combines data engineering, business intelligence, and analytics development to create trusted datasets, maintain reliable pipelines, and deliver operational reporting. Working closely with the Sr. Growth Analytics Manager, you will build a strong understanding of OneDigital's data ecosystem and help improve our data products over time. You will use AI-assisted tools to accelerate pipeline development, testing, and documentation, while retaining accountability for governance decisions, data quality judgment, and business context., Data Engineering & Integration

 * Develop, maintain, and optimize SQL transformations in Snowflake for Marketing and Sales reporting
 * Build and support ETL/ELT pipelines and integrations across Salesforce, HubSpot, Microsoft Dynamics, Azure, and APIs
 * Follow established CI/CD practices and execute test cases to validate changes before production
 * Monitor scheduled jobs and troubleshoot production issues

Data Quality, Governance & Security

 * Monitor data quality, investigate discrepancies, and build automated validation and reconciliation processes
 * Maintain documentation for datasets, data flows, lineage, and transformation logic
 * Apply access controls and follow privacy and handling requirements (PII/PHI) in accordance with company policy, escalating gaps or exceptions to the Sr. Growth Analytics Manager

Business Intelligence Development

 * Build and maintain dashboards and reports in Domo and Power BI based on business requirements
 * Develop reusable datasets and semantic models, including clean, structured datasets that support AI and predictive modeling
 * Optimize dashboard performance and usability

Analytics Partnership

 * Partner with the Sr. Growth Analytics Manager to translate business requirements into technical solutions
 * Treat recurring datasets and dashboards as products: gather feedback, prioritize enhancements, and document intended use
 * Coordinate with cross-functional data owners when upstream changes could affect Marketing reporting Support ad hoc analytical requests
*