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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineering Manager - **Company:** Stanley Martin - **Location:** Reston, VA, United States (Remote available) - **Experience:** Experienced - **Salary:** $134,000.0 - $149,100.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Big Data, Business Software, Continuous Integration, Data Architecture, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Migration, Data Warehousing, Software Debugging, Distributed Data Store, Github, Apache POI, Jinja (Template Engine), Python (Programming Language), Microsoft Dynamics, NoSQL, Windows PowerShell, Cloud Services, Scala (Programming Language), SQL Databases, Web Applications, Enterprise Data Management, Electrical and Computer Engineering, Azure Data Factory, Snowflake, Data Lakes, Pyspark, Kubernetes, Information Technology, Apache Flink, Apache Kafka, Data Management, Database Replication, Tools for Reporting, Data Delivery, Restful APIs, Azure Synapse Analytics, Looker Analytics, Data Pipelines, Powerapps, Jenkins, Amazon Redshift, Databricks - **Published:** July 18, 2026 - **Apply:** https://dejobs.org/x/x/B7797B7C0FC045D0A31675685CF49573/job/ ## About the Role * Master's Degree in Computer Science, Electrical and Computer Engineering, Data Science, or a related technical field plus 6 years of industry experience in data engineering with 3 of those years applying to real estate construction., * Proficient in homebuilder ERP platforms such as NEWSTAR and HomebuilderOne, which objective of establishing data warehousing, ETL/ELT, and data quality checks. * Experience with Microsoft Dynamics Finance and Operations 365, Lifecycle Services, Synapse Link, Power Apps, and BYOD required. * Deep hands-on experience with cloud data platforms: Snowflake, Databricks, AWS Redshift, or Azure Synapse. * Experience with data migration and conversion tools like SnowConvert * Proficient in using Python, Jinja, SQL, NoSQL, PowerShell, PySpark, Scala, and secure REST services. * Proficiency in using cloud platforms like Azure, GCP, or AWS. * Expertise in designing modern data architecture using tools like Coalesce, Fivetran, dbt Labs, Snowflake, Azure Data Factory, and Orchestra. * Familiarity with BI and reporting tools like Looker, Sigma, Workiva, and Vena * Deep knowledge of large-scale distributed data architecture patterns and data governance principles. * Deep expertise in strategizing, planning, program management, and technical architecture for large-scale data modernization. * Deep expertise in building data pipelines, data warehouses, and BI solutions for the homebuilding industry. * Proficiency in developing and debugging complex data pipelines, ETLs, and workflows on cloud platforms optimized for high volumes of homebuilding data. * Expertise in Open-source Data Technologies in processing, storage, data quality - Iceberg, Delta Lake, Apache Flink, Kafka. * Proficiency with CI/CD tooling like Jenkins, Airflow, Kubernetes, and Git/GitHub to enable robust development pipelines for business applications. ## Description * Ensure the scalability, reliability, and performance of the company's enterprise data platform. (15%) * Leading development of data warehouses and data lakes on cloud-native data platforms. (13%) * Architecting, and scripting large-scale data pipelines, and leveraging tools like Snowflake, Databricks, Azure Cloud (Azure Data Factory, Functions etc.), and ADLS to support business applications in the environment.(10%) * Securing critical datasets related to customer POI, home sales data, and mortgage trends. (11%) * Establish and maintain data governance policies and procedures to ensure data quality and integrity. (13%) * Stay at the forefront of industry trends and emerging technologies, continuously evaluating, and adopting innovative solutions to enhance the company's data capabilities.(8%) * Collaborate with the internal teams to integrate and oversee internal and vendor data systems ensuring data correctness. (8%) * Support the Enterprise Data Analytics Platform (EDAP) team in their mission to build a best-in-class data platform for a growing homebuilder. (6%) * Responsible for developing transformation logic and supporting data management efforts using resources on Microsoft Azure. (5%) * Support the maintenance, synchronization, wrangling, and migration of data across a hybrid environment. (3%) * Collaborate to understand, analyze, document, and efficiently implement data pipelines for even-based data replication, including micro-batch and batch-based data pipelines. (3%) * Establish methods to enrich the platform with new sources of information that support analytics and web application data delivery needs. (3%) * Actively participate with broader team to enhance capabilities of the data platform, including strengthening analytical work flows executing on Staley Martin's Business Intelligence tool (Looker). 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