Senior Data Engineer - Remote

Insight Global

Minneapolis, MN, United States

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

6 years minimum

Working hours

Regular working hours

Job source

juju.com

Tech stack

Business Analytics Applications Data Analysis Microsoft Azure Business Intelligence Development Information Engineering Extract Transform Load (ETL) Data Migration Data Mining DevOps Python (Programming Language) PostgreSQL Performance Tuning

+12 more

Query Optimization Cloud Platform System AWS Lambda Git Event Driven Architecture Infrastructure Automation Frameworks Deployment Automation Data Management Software Version Control Data Pipelines Serverless Computing Legacy Systems

Job description

We are seeking a Senior Data Engineer with strong experience in data extraction, transformation, and analytics to support enterprise reporting and system modernization initiatives. This role will play a critical part in sunsetting legacy systems, extracting and consolidating data, and enabling high-quality reporting through Power BI and Tableau.

You will work closely with analytics, engineering, and business stakeholders while building and maintaining cloud-native data solutions on Azure., * Design, build, and maintain scalable data pipelines using Python and cloud-native services

Extract, transform, and load (ETL/ELT) data from legacy and sunsetting systems into modern analytics platforms
Develop and optimize AWS Lambda-style serverless workloads (or equivalent patterns) using Python
Model, store, and query structured data in PostgreSQL
Support and enable business reporting and analytics, partnering with BI teams using Power BI and Tableau
Ensure data accuracy, consistency, and availability for reporting and downstream analytics
Collaborate with stakeholders to understand reporting requirements and translate them into technical solutions
Implement and maintain DevOps best practices, including CI/CD pipelines, infrastructure automation, and monitoring
Manage source control and collaboration using Git
Work closely with Azure services to build reliable, secure, and scalable data platforms
Monitor and troubleshoot data pipelines, ensuring performance, reliability, and cost efficiency

Requirements

6+ years of experience as a Data Engineer, Analytics Engineer, or similar role
Strong proficiency in Python for data engineering and automation
Hands-on experience with PostgreSQL (schema design, query optimization, performance tuning)
Experience with serverless or event-driven architectures (e.g., Lambda-style functions)
Solid DevOps experience, including CI/CD pipelines and deployment automation
Proficiency with Git and collaborative development workflows
Experience working in cloud environments, with a strong preference for Microsoft Azure
Proven experience supporting reporting and analytics platforms, especially Power BI and Tableau
Experience extracting and migrating data from legacy or decommissioned systems
Strong understanding of data quality, governance, and reliability best practices