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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineering Manager - **Company:** LaSalle Network - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $180,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Data Governance, Data Transformation, Snowflake, TIBCO (Software), Databricks - **Published:** September 3, 2026 - **Apply:** https://www.thelasallenetwork.com/jobs/senior-data-engineering-manager-161644/#ce_apply_wrapper ## About the Role Must-Haves * Strong hands-on experience with the Microsoft Azure stack (Data Factory, Synapse, and similar tools) * Solid data ingestion and pipeline development background * Strong fact and dimension modeling experience * Familiarity with Master Data Management principles (specific platform experience not required, e.g. Informatica, Tibco, or similar all welcome) * Excellent communication skills, particularly around setting expectations and navigating changing priorities Nice-to-Haves * Experience with Databricks (Snowflake or similar platforms also considered if you can demonstrate the ability to flex) * Experience with DBT or similar data transformation tooling * Experience managing or mentoring contractors, particularly in a remote setting * Background working in a startup or fast-paced technology environment * Exposure to data governance practices and collaboration with governance teams Leadership * Open to candidates transitioning from a strong individual contributor or lead role into people management for the first time, as long as management is a path you're intentionally pursuing * Comfortable ramping quickly in a growing, evolving environment ## Description We're building out our data engineering function from the ground up and looking for a hands-on technical leader to help us scale. This is a newly created leadership role for someone who wants to stay close to the technical work while also building and managing a team. You'll be joining a fast-paced, well-funded startup environment with real intensity and speed, so this role is best suited for someone excited by that pace rather than surprised by it., * Lead data engineering work from ingestion through the silver layer, including fact and dimension modeling, data cleansing, and pipeline architecture * Operate in a hands-on capacity (targeting a 50/50 technical to managerial split initially, shifting toward more management as the team matures) * Manage and coordinate with engineering leads across multiple contracting teams, serving as the final technical decision-maker while collaborating closely with those teams * Weigh in on Master Data Management strategy, including build vs. buy decisions, golden record creation, and governance approaches * Partner with the data governance function to ensure alignment, without owning governance directly * Balance short, medium, and long-term priorities while managing a substantial backlog of in-flight projects * Communicate proactively around timelines, risks, and unexpected issues across multiple stakeholder groups, You'll manage a senior data engineer, with an additional engineering hire planned, and will work closely with engineering leads across multiple contracting partners. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Should Tech Managers Be Developers First? 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