As a Data Engineer, you will be required to interpret business needs and select appropriate technologies and have experience in implementing data governance of shared and/or master sets of data. You will work with key business stakeholders, IT experts, and subject-matter experts to plan and deliver optimal data solutions. You will create, maintain, and optimize data pipelines as workloads move from development to production for specific use cases to ensure seamless data flow for the use case. You will perform technical and non-technical analyses on project issues and help to ensure technical implementations follow quality assurance metrics. You will analyze data and systems architecture, create designs, and implement information systems solutions.

Responsibilities:

Bullets of responsibilities of the role, examples:  Define and communicate a clear product vision for our client’s software products, aligning with user needs and business objectives.  Create and manage product roadmaps that reflect both innovation and growth strategies.  Partner with a government product owner and a product team of 7-8 FTEs.  Develop and design data pipelines to support an end-to-end solution.  Develop and maintain artifacts (e.g. schemas, data dictionaries, and transforms related to ETL processes).  Integrate data pipelines with AWS cloud services to extract meaningful insights.  Manage production data within multiple datasets ensuring fault tolerance and redundancy.  Design and develop robust and functional dataflows to support raw data and expected data.  Provide Tier 3 technical support for deployed applications and dataflows.  Collaborate with the rest of data engineering team to design and launch new features.   Coordinate and document dataflows, capabilities, etc.  Occasionally (as needed) support to off-hours deployment such as evening or weekends.