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Data Engineer

Stanley Martin Homes - Reston, VA

Posted 19 days ago

3 people have applied

Responsibilities and Duties:

  • The Data Engineer supports the maintenance, synchronization, wrangling, and migration of data across a hybrid environment.

  • Collaborates to understand, analyze, document, and efficiently implement data pipelines for event-based data replication, including micro-batch and batch-based data pipelines.

  • Establishes methods to enrich the platform with new sources of information that support analytics and web application data delivery needs.

  • Actively participates with broader team to enhance the capabilities of the data platform, including strengthening analytical workflows executing on our Business Intelligence tool (Looker).

Position Requirements:

  • 3+ years building scripts using SQL and at least one of the following: R, Python, Scala or Java.

  • 2+ years developing data flow and data orchestration workflows (e.g. Azure Data Factory).

  • 2+ years of experience using Azure Databricks to build scalable ETL pipelines.

  • Comfortable building data lake storage and data processing strategies for analytic workloads.

  • Experienced with developing automation workflows using RESTful APIs.

  • Experienced with change management workflows (Azure DevOps, Visual Studio, GitHub, TFS).

  • Familiarity with scripting and command line operations including execution using MS PowerShell.

  • Knowledgeable of techniques to automate business-oriented data capture (e.g. Power Platform).

  • Interest in developing streaming data pipelines using resources such as Azure Event Hubs, Spark-Streaming, Kafka, or Flink Streams.

  • Familiarity with Microsoft Dynamics Finance and Operations 365 highly desired.

  • Comfortable working in an Agile Kanban environment and using tools such as Jira or Trello.

  • Detailed oriented/self-motivated with the ability to learn and deploy new technology quickly.

  • Good communication skills. Able to present the technical solutions and understand business requirements.

  • Someone comfortable wearing multiple data hats on a small team, and continuously seeking new techniques to improve data processing and analytics.

  • Adhere to company safety standards and help promote a safe working environment.

  • Adhere to and promote the Mission, Vision, and Values of Stanley Martin Homes.

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