Job Requirements
Washington, DC
Public Trust Polygraph Unspecified
Career Level not specified
Salary not specified
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Job Description
Integration/Data
Engineer - Level I
Position
Responsibilities (including but not limited to):
Required
Qualifications:
Preferred
Qualifications:
Clearance
Requirements:
Must be a US Citizen with ability and
willingness to acquire a U.S. Public Trust
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
