Data Engineer

  • Location: Richmond, VA
  • Type: Contract
  • Job #32447

Data Engineer

– Local Richmond, VA candidates only, please.
– This is a hybrid position. Candidates will alternate each week, reporting on site/remote.


  • Design, Develop and maintain secure, consistent and reliable ETL solutions supporting critical business processes across the various Business Units.
  • Ensure data solutions are compliant with enterprise security standards
  • Work in complex multi-platform environments on multiple project assignments.
  • Develop and perform tests and validate data flows and prepare ETL processes to meet complex business requirements, including designing and implementing of complex end-to-end solutions using BI platforms.
  • Coordinate with analysts and developers to ensure jobs designed and developed meet minimum support standards and best practices before migration into the production environment.
  • Partner with various infrastructure teams, application teams, and architects to generate process designs and complex transformations to various data elements to provide the Business with insights into their business processes.
  • Uses strategies such as Indexing and partitioning to fine tune the data warehouse and big data environments to improve the query response time and scalability.
  • Define and capture metadata and rules associated with ETL processes.
  • Assist production support team in providing resolutions to production job failures, data issues and performance tuning
  • ETL Development and Process Support, may require weekend/off business hours work.


  • Talend (ETL), SQL, Snowflake


  • Data Warehousing, Data Modelling, Big Data Performance Tuning


  • Strong understanding of Data warehousing (Dimensional Modeling, ETL etc.) and RDBMS concepts
  • Minimum 5 years working experience with Talend ETL tool
  • Minimum 5 years working experience in SQL, Stored Procedures and Table Design
  • Minimum 5 years working experience in SQL Query optimization and ETL Data loading Performance tuning
  • Minimum 2 years working experience in Snowflake Cloud Data warehouse
  • Experience with SAP technologies like SAP BW and SAP BW4HANA a big plus
  • Experience as a Data Engineer in Hadoop Platforms on components like HIVE, KAFKA, NiFi, Spark etc is a big plus.
  • Minimum 2 years working experience in shell scripting
  • Experience with cloud technologies(AWS, Azure, GCP) is big plus
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