Senior ETL & BI Data Engineer

Perkins&Will

Minneapolis (MN)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Perkins & Will is seeking an experienced Data/BI Engineer in Minneapolis to design and maintain financial data systems and ETL pipelines. You will implement SSIS-based workflows, develop T-SQL queries, and support Power BI datasets for reporting and analytics.

You will collaborate with cross-functional teams to translate business needs into scalable data solutions, ensure data quality, and integrate data from diverse sources including APIs, CSV, XML, and JSON formats.

Qualifications

  • Bachelor's or master's degree in computer science, software engineering, or related field.
  • Power BI experience with at least 2 years in BI/reporting tools.
  • Experience with Deltek APIs and integration frameworks.
  • Strong understanding of software development methodologies and project teamwork.

Responsibilities

  • Oversee the design, implementation, and maintenance of financial systems and reporting.
  • Collaborate with cross-functional teams to deliver scalable data solutions.
  • Ensure the integrity of financial data through audits and controls.
  • Develop and optimize ETL workflows using SSIS and SQL.
  • Build and maintain data models, schemas, and SQL queries for ETL and Power BI datasets.
  • Integrate data from databases, APIs, and file formats (CSV, Excel, XML, JSON).

Skills

SSIS
SQL
Power BI
C#
Python
Data modeling
ETL development
APIs
JSON/XML
Data quality

Education

Bachelor's or Master's in CS/Software Engineering or related field

Tools

Deltek API
Deltek Vision/Vantagepoint
Postman
SQL Agent

Job description

Perkins & Will is seeking an experienced Data/BI Engineer in Minneapolis to design and maintain financial data systems and ETL pipelines. You will implement SSIS-based workflows, develop T-SQL queries, and support Power BI datasets for reporting and analytics.

You will collaborate with cross-functional teams to translate business needs into scalable data solutions, ensure data quality, and integrate data from diverse sources including APIs, CSV, XML, and JSON formats.

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