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# Data Engineering Manager

- **Company:** Ben Fitzgerald Real Estate Services, L.L.C.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $74,000.0 - $98,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, BigQuery, Computer Programming, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Dataspaces, Data Systems, Python (Programming Language), Power BI, Cloud Services, Standard Sql, Tableau (Software), Google Cloud, Snowflake, Apache Spark, Model Validation, Kubernetes, Information Technology, Data Analytics, Real Time Data, Looker Analytics, Data Pipelines
- **Published:** August 4, 2026
- **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/senior-data-engineer-manager/10504220

## About the Role

* Bachelor's or Master's degree in Computer Science, Engineering, Data Systems, or a related quantitative field.
 * 7+ years of professional experience in data engineering, data platform development, or related fields - including managing data teams.
 * Deep experience with modern cloud data ecosystems (e.g., Snowflake, BigQuery, AWS/Azure/GCP data services).
 * Expertise building and optimizing ETL/ELT pipelines using tools like dbt, Apache Airflow, Spark, or similar orchestration frameworks.
 * Strong SQL and programming skills (Python, Scala, or similar languages).
 * Experience with data modeling, schema design, and real-time data ingestion strategies.

 * Excellent communication skills, with the ability to translate complex analyses to non-technical stakeholders.

 * Demonstrated ability to manage multiple priorities in a fast-paced, remote environment.

Preferred Qualifications

 * Experience managing internationally distributed teams.

 * Familiarity with cloud data platforms (e.g., Snowflake, AWS, GCP) and modern analytics stacks.

 * Experience with statistical modeling or data science techniques.

## Description

As the Senior Data Engineering Manager, you will:

Team Leadership & Strategy

 * Lead, mentor, and grow a distributed analytics team across multiple time zones.

 * Establish priorities, set goals, and manage performance to foster a high-performing analytics organization.

 * Develop and implement analytics standards, best practices, and processes to ensure quality and consistency.

Platform & Pipeline Engineering

 * Architect, build, and maintain scalable ETL/ELT pipelines, event streams, and ingestion frameworks to support analytics, product features, and ML applications.
 * Oversee the design and implementation of cloud-native data infrastructure (data warehouses, lakes, transformation layers, and orchestration).
 * Ensure high data quality, consistency, governance, and observability across all data systems.

 * Oversee and guide the development of dashboards, automated reports, and analytics tools using BI platforms (e.g., Tableau, Looker, Power BI).

 * Ensure robust data pipelines, reliable metrics, and scalable reporting solutions in collaboration with data engineering.

Project Delivery

 * Prioritize analytics projects, balance roadmap demands, and ensure timely delivery.

 * Champion analytical excellence, including experiment design, KPI definition, and model validation.


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