Data Engineering Manager

Stanley Martin Homes

$134K — $149K *
Real Estate & Construction
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's Degree in Computer Science, Electrical and Computer Engineering, Data Science, or a related technical field.
  • 6 years of industry experience in data engineering, including 3 years in real estate construction.
  • Proficient in homebuilder ERP platforms like NEWSTAR and HomebuilderOne.
  • Deep hands-on experience with cloud data platforms such as Snowflake, Databricks, AWS Redshift, or Azure Synapse.
  • Proficiency in using Python, SQL, and other data processing tools.

Responsibilities

  • Ensure scalability, reliability, and performance of the enterprise data platform.
  • Lead development of data warehouses and data lakes on cloud-native data platforms.
  • Architect and script large-scale data pipelines using tools like Snowflake and Azure.
  • Secure critical datasets related to home sales and mortgage trends.
  • Establish and maintain data governance policies for data quality.
  • Stay updated on industry trends and innovative solutions to enhance data capabilities.
  • Collaborate with internal teams to ensure data correctness from internal and vendor systems.

Benefits

  • Access to high-quality health care options through Aetna, MetLife, and EyeMed.
  • 401(K) plan with up to $5K employer match and Health Savings Account (HSA).
  • Three weeks of paid parental leave and Flexible Spending Account (FSA) for dependent care.
  • 12 weeks of paid maternity leave through Short-Term Disability Plan.
  • Wellness benefits including mental health resources via Employee Assistance Program.
  • Tuition and certification reimbursement for continued education.
  • 15 days of vacation, increasing with tenure, and 6 days of paid sick leave.
  • Discounts on buying a Stanley Martin home and interest rate reductions with mortgage partners.
  • Early access to paycheck through Dayforce Wallet and identity theft protection.
  • Support for local charities with matching donations and designated leave.
Full Job Description
Position Title: Data Engineering Manager

Location: Reston, VA

I: Essential Job Functions:
  • 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). (2%)


II: Education and Experience Required:
  • 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.


III. Special Skills Required:
  • 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.


Salary: $134,000.00 to $149,100.00 per year. Telecommuting Permitted.

To apply for this position, please forward your resume to [redacted] with "Data Engineering Manager (VA-4795)" in the subject line. No telephone calls, please.

What's In It For Me:
  • Access to competitively priced, high-quality health care options through Aetna, MetLife and EyeMed, along with employer-paid Short Term and Long Term disability, basic life and AD&D insurance (including employee-paid life, Legal Resources, and Aflac supplemental options)
  • Plan for the future by investing in a 401(K), with up to $5K employer match, invest even more with our Health Savings Account (HSA)
  • Put your family first with benefits, including 3 weeks of paid parental leave and a Flexible Spending Account (FSA) for dependent care
  • 12 weeks of paid maternity leave through our Short-Term Disability Plan
  • Receive well-rounded wellness benefits, including free and low-cost mental health resources and support services through our Employee Assistance Program
  • Continue your education with tuition and certification reimbursement
  • Rest and relax with 15 days of vacation (increases with tenure) and 6 days of paid sick leave
  • Protect yourself from identity theft or travel mishaps with our no-cost coverage
  • Receive great discounts on buying a Stanley Martin home and discounts with our partners in mortgage and title services as well as cell phone service through Verizon
  • Get access to your paycheck early with an advanced pay option through Dayforce Wallet
  • Support local charities that are important to you through our Giving Back Program; with up to $250 match, 8 hours leave and more

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