Remote Data Engineer - SSIS/SSAS & Power BI

Netrolynx AI; United States; Remote; USD 115,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Flexible Spending Accounts (FSA)

Paid parental leave

Safe Harbor 401(k)

Paid time off

Life/AD&D insurance

Pet insurance

Phone/internet stipend

Tuition reimbursement

Job summary

GrabJobs is seeking a highly skilled Data Engineer to design, develop, and implement data solutions that support our business operations. You will work remotely, applying SSIS/SSAS, SQL, and Power BI to turn raw data into actionable insights and collaborate with technical and business teams.

The role requires 8+ years in data engineering, strong SQL and data modeling expertise, cloud experience (AWS/Azure), and the ability to build robust dashboards while ensuring data quality and security.

Qualifications

• 8+ years of professional data engineering experience.
• Bachelors in Computer Science, Information Technology, or related field.
• Experience with Java and JavaScript.

Responsibilities

• Implement a robust SSAS environment to support analytics and reporting.
• Redesign existing reports for an analysis services environment with accuracy.
• Gather requirements with clients' technical teams to develop tailored data solutions.
• Apply data modeling methods including tabular, relational, and multidimensional approaches.
• Transform data into actionable insights and pre-aggregate for performance.
• Document data models and maintain architecture records.
• Update data models to reflect evolving business needs.
• Develop new reports and dashboards based on customer requirements.
• Optimize data workflows and pipelines for quality and performance.
• Ensure security standards and best practices in data management.

Skills

Data engineering

Java

JavaScript

SQL

Data modeling

Education

Bachelor's degree in Computer Science / IT

Tools

SSIS

SSAS

Power BI

SQL Server

AWS

Azure

Job description

GrabJobs is seeking a highly skilled Data Engineer to design, develop, and implement data solutions that support our business operations. You will work remotely, applying SSIS/SSAS, SQL, and Power BI to turn raw data into actionable insights and collaborate with technical and business teams.

The role requires 8+ years in data engineering, strong SQL and data modeling expertise, cloud experience (AWS/Azure), and the ability to build robust dashboards while ensuring data quality and security.