Experienced Data Engineer

Experienced Data Engineer Monroeville, PA 5 DAYS AGO 22656684 Summary Monroeville, PA In-Person Competitive Salary 4 Years Experience Bachelor's degree No Commission 40.00 hours per week / Day Shift / Full-Time

Description Location:

Monroeville, Pennsylvania Job Title:

Experienced Data Engineer Status:

Full-time Professional Annual Salary Range:

$88,000 - $166,300 •Salary commensurate with education and experience. Job Summary As a Data Engineer at BPMI, you will work under limited supervision and performs moderately complex critical technical functions to execute the BPMI mission in areas including, but not limited to, driving the adoption of data science and analytics into standard project execution methods and procedures that enhance the organization's operational and engineering outcomes. In this role, the employee develops scalable data systems that improve the quality, accessibility, and insight of information across BPMI. They collaborate with cross-functional teams to turn business and technical data into actionable solutions that ensure accuracy, consistency, and compliance with standards. Work includes designing and maintaining data pipelines, lakes, warehouses, and reports, as well as preparing and organizing data to support predictive and prescriptive analytics.

Essential Duties:

Evaluate and design data pipelines, warehouses, and integration strategies that ensure scalability, reliability, and compliance with BPMI standards. Analyze existing and future datasets for both technical (from system development concepts through the end-of-life system support) and business (business and logistics data analysis) functions. Develop and implement robust extract, transform, and load (ETL) processes to manage data movement across environments. Collaborate with data owners to scope problems and deliver solutions that improve engineering decision making and simplify business processes. Recommend improvements to database architecture and storage solutions based on performance, security, and future scalability needs. Troubleshoot complex data issues, perform root cause analyses, and resolve integration and quality problems proactively. Model and optimize data structures that support analytics, dashboards, and predictive modeling. Create visualization and graphic user interfaces using Power BI or code development. Innovate data engineering practices by introducing automation, orchestration, and monitoring tools that streamline operations. Justify proposed approaches with impact assessments and technical rationale grounded in data analysis and organizational requirements. Create comprehensive documentation to ensure knowledge transfer and consistency a To view the full job description please use the link below.

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