Job Description :
Position: Data Engineer

Location: Richmond, VA – 23225

Type: Contract

Duration:  6 - 12 months (Possible Extension)

Visa: GC/USC/TN/H4EAD

Interview: Phone/Skype



Notes from the call with the Manager:

Looking for 2 to 5 years of experience.

Looking for someone with a strong data warehouse development background with at least some cloud and ETL experience.  ETL experience could be with any major tool:  Talend, Ab Initio, DataStage, SSIS, etc.

Their environment is Snowflake, Red Shift, and Matillion (ETL tool



Job Description:


Author, review and approve data requirements and designs of the data warehousing and data engineering domain including ETL/data movement and pipelines, business intelligence, and analytics
Build data pipelines leveraging internal and external data sources to meet business objectives
Participate in architecting data solutions that will capture, manage, process and serve small to large data at scale
Identify and develop governance controls for systems within the data warehousing and data engineering domains and encourage the team to develop controls as well
Assist in defining and implementing standards and best practices within the data engineering domain that are communicated and leveraged by all data team members and other users of the platform and tools.  Standards and best practices include datasets, tables, columns, scripts, variables, etc.
Assist in the definition of data management processes related to data governance, stewardship, data quality, training, data retention, etc.
Define how systems should be maintained, including tools to be used for monitoring, thresholds, and runbooks and actively work on refining on-call practices
Ensure that testing is performed and documented to ensure the quality of the work being delivered
Work directly with Product Owners and end-users to develop solutions in a highly collaborative and agile environment
Work with business units to understand business objectives and how to leverage our data platform and tools to achieve those objectives




Basic Qualifications:


Bachelor’s degree in Computer Science, Computer Engineering or related experience
2+ years of experience as a Data Engineer including building ETL/data pipelines as well as data visualization and BI solutions
2+ years of experience working in a fast-paced environment; continuous deployment, test-driven development, agile methodologies
2+ years’ experience using SQL and advanced SQL techniques
2+ years’ experience building robust, highly available, and scalable services
2+ years’ experience building and deploying services in the cloud
Demonstrated track record of scaling data warehouse solution, meeting SLAs, and expertise in performance analysis
Demonstrated strategic thinking and ability to anticipate the downstream costs of critical engineering decisions




Preferred Qualifications:


2+ years’ experience building consumer-facing products
2+ years of experience with SQL and databases such as Snowflake, Redshift, Postgres
2+ years’ experience working with ETL tools such as Matillion, Informatica, Talend, Alooma, or comparable experience with Python, Java, Scala, Hadoop or Spark
2+ years of experience with Business Intelligence and Visualization tools such as Chartio, Tableau, etc.
2 + years of experience working with automated build and continuous integration systems
2+ years’ experience with database architecture, design and modeling and working with a variety of data warehousing systems