> Markdown version of [/jobs/ext/3594910-data-engagement-lead-analytics-engineering-client-delivery](https://www.wearedevelopers.com/jobs/ext/3594910-data-engagement-lead-analytics-engineering-client-delivery). 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).

---

# Data Engagement Lead (Analytics Engineering & Client Delivery)

- **Company:** SOUTH SHORE ANALYTICS LLC
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, BigQuery, Information Engineering, Data Intelligence, Python (Programming Language), SQL Databases, Tableau (Software), Snowflake, Looker Analytics
- **Published:** October 6, 2026
- **Apply:** https://www.thejobnetwork.com/job/a58ea0b3-eb7f-43ff-bfb0-c8bd7a15fc9a/data-engagement-lead-analytics-engineering-client-delivery

## About the Role

Skills you'll use every day: data engineering · analytics engineering · dbt · SQL · Snowflake / BigQuery · data warehouse implementation · client relationship management · stakeholder management · project management · consulting · data modeling · business intelligence (Omni, Looker, Tableau), * 7+ years in data engineering, analytics engineering, or data consulting, including at least 2 years as the senior-most person accountable for a client relationship - ideally at a smaller shop or team where there was no one more senior to catch mistakes or step in.
\n

 * Fluency across the modern data stack: SQL and dbt at an expert level; hands-on with Snowflake and/or BigQuery; experience with ingestion tools (Fivetran, Airbyte, dlt) and orchestration (Dagster, Orchestra, Airflow, or similar); comfortable in a BI/semantic-layer tool (Omni, Looker, Tableau). Python proficiency not required, but exposure is preferred., * Nice to have: prior experience at a boutique data consultancy; exposure to PE-backed or multi-location operators; experience with AI-enabled analytics or agentic tooling in delivery; Python for pipeline and automation work.