Data Engineer: Portfolio Integration & Decision Support

WLG; Norfolk (VA); On-site; USD 110,000 - 160,000; Full time

Job summary

WLG in Norfolk, VA, is seeking a hands-on Data Engineer to design and build end-to-end data pipelines, models and dashboards for program governance. You will integrate data from multiple sources, apply quality controls and deliver trustworthy decision support for portfolio management.

Requirements include a university degree in a related field, 3+ years in data integration and engineering with SQL, and experience delivering BI products.

Qualifications

• Three+ years in data integration and engineering with hands-on work in the last two years.
• Experience designing, building and deploying data pipelines and data models.
• Proven ability to deliver BI products and dashboards for decision support.

Responsibilities

• Hands-on data integration, engineering and analysis across the portfolio.
• Design, build, test and maintain repeatable pipelines ingesting data from multiple sources.
• Build data models, business rules and quality controls for trustworthy outputs.
• Prototype digital data-collection apps to replace spreadsheet-heavy reporting.
• Create dashboards and visualisations showing programme status and dependencies.
• Apply descriptive and diagnostic analysis and predictive techniques where needed.
• Integrate portfolio data with enterprise sources via approved mechanisms.
• Identify and fix data quality, lineage and governance issues.
• Document sources, models and procedures to enable others to operate the system.

Skills

Data integration

SQL

Data modelling

Business intelligence

English communication

Education

University degree in data science or related field

Job description

WLG in Norfolk, VA, is seeking a hands-on Data Engineer to design and build end-to-end data pipelines, models and dashboards for program governance. You will integrate data from multiple sources, apply quality controls and deliver trustworthy decision support for portfolio management.

Requirements include a university degree in a related field, 3+ years in data integration and engineering with SQL, and experience delivering BI products.