Now Hiring a Data Engineer

Interested in building a large scale, modern data ecosystem as a member of a transformation focused consulting company that is working with one of the largest financial service companies in the US? Join us as we transform and modernize our clients' data environment into a robust and intelligent data ecosystem. This is a fast-moving, forward-leaning initiative to build a full featured platform which will serve as the backbone for their big data and data analytics innovations. We are looking for modern data enthusiasts who want to make a big impact, deliver great technology, and work on an exciting team. This is a remote position but must be able to commute to Chevy Chase, MD occasionally.

Profile of Success

  • Work in a team using cutting edge technologies to solve challenging business problems and build solutions
  • Interact directly with our client(s) to understand their needs and meet, or exceed their expectations by meeting delivery deadlines
  • Work in an agile environment with participation in daily stand-ups/scrum
  • Design, write, test, troubleshoot, and document data transformations
  • Learn new technologies and be aware of industry standards, best practices, and trends.


Required Skills

  • 3+ years of experience working with Scala
  • Hands on Programming experience in Scala with Spark for ETL
  • Advanced SQL skills
  • Possess Hive skills with HiveQL.
  • Experience in designing efficient and robust ETL/ELT workflows, schedulers using Oozie, and event-based triggers
  • Big Data Experience - Experience with Ab Initio, MDM, Microstrategy, Cassandra, Hadoop, Spring Cloud
  • Data Operations and Security - experience with tools like Collibra, able to establish data standards and policies
  • Proven ability to work with clients to understand requirements and envision data ingestion solutions


Desirable Skills

  • Experience with Snowflake
  • Experience with the Azure storage technologies (Azure Data Lake, Azure SQL Data Warehouse, Azure SQL Database)
  • Knowledge of Azure data movement and transformation capabilities (Azure Data Factory, Data Lake Analytics, Data Bricks, Stream Analytics)
  • Knowledge of Talend ETL
  • Microsoft related certifications such as the MCSD/MCSE