Integration/Data Engineer - Level I

Job Requirements Washington, DC Public Trust Polygraph Unspecified Career Level not specified Salary not specified Join Premium to unlock estimated salaries Job Description Integration/Data Engineer - Level I Position Responsibilities (including but not limited to): Build data engineering pipelines to support data ingestion, data conditioning/cleansing, and data integration/aggregation to enable use case and data product development. Configure data analytics processes to integrate data from various VA systems into Customer Experience Insights (CXI) data warehouse. Implement systems integration use cases to enable seamless data exchange among various VA systems. Engage with data scientists, data analysts, and data stewards to understand the functional and technical data integration and management requirements; develop technical specifications to illustrate/capture the requirements. Develop automated scripts for data extraction, conditioning, and integration of large data sets into actionable insights for informed client decision-making - and maintain developed models. Support ad-hoc data analytics requests by quickly understanding requirements and mapping those requirements to data attributes; deliver ad-hoc data reports based on client reporting specifications. Support data analytic product capabilities by studying information needs specific to the client; conferring with users; and following a hybrid agile software development lifecycle.

Required Qualifications:

1+ years of experience in Python/Spark programming for implementing data operations such as connectivity, data manipulation, data integration and publication. 1+ years of experience in SQL or related query languages. 1+ years of experience developing ETL pipelines and troubleshooting data load issues. 1+ years of experience in Databricks for data engineering, systems integration, or machine learning projects. 1+ years' experience in data warehousing projects and understanding of implementation of dimensional modelling concepts such as fact and dimension tables. 1+ years of experience working with GitHub for code management and deployment. 1+ years of experience working with Agile development frameworks. 1+ years of prior experience with data analytics with at least 2+ years of experience working in an IT environment. 1+ years of prior consulting experience. 1+ years of prior work experience in or with the Federal government. Ability to quickly adapt and excel in a fast-paced environment. Experience working with Microsoft Word, PowerPoint, Excel, and Visio. Strong organizational and collaboration skills. Strong written and verbal communication skills to support business writing, reporting, team and client collaboration, and professional correspondence. Must hold a minimum of a bachelor's degree.

Preferred Qualifications:

3+ years of prior experience working in data and analytics environments. 3+ years of experience with data engineering and ETL development. 2+ years of experience in Azure cloud services (e.g., Synapse, Containers, ADF, Azure DevOps). 1+ years of experience developing data analytics products e.g., Power BI. 1+ years of prior experience in healthcare environments/clients. Experience with systems integrations e.g., API integrations. Experience with VA systems e.g., CX Insights, Lighthouse APIs, Medallia. Experience in/familiar with Jira. Strong organizational and management skills.

Clearance Requirements:

Must be a US Citizen with ability and willingness to acquire a U.S.

Public Trust group id:

10290999 Apply now