Senior Data Engineer (Microsoft Fabric & AI)-Redmond

Artic Consulting•Redmond, WA

1d•$115,000 - $120,000

About The Position

Artic Consulting is a dynamic IT and consulting services firm, delivering digital transformation through innovative solutions in data, cloud, and business analytics. We are seeking a skilled Data Engineer with 5+ years of experience and a strong focus on the Microsoft Fabric ecosystem, who can design and implement scalable data solutions for our clients.

Requirements

Bachelor's degree in computer science, Information Systems, Engineering, or equivalent professional experience.
Minimum 3 years of experience in Power BI development and data engineering.
Strong expertise in T-SQL and KQL, with demonstrated query optimization skills.
Proficiency in Microsoft Fabric tools: Data Pipelines, Dataflows Gen2, OneLake, Notebooks.
Hands-on experience with Spark/PySpark and data integration from varied sources.
Microsoft Power BI certification (PL-300) or equivalent Microsoft certifications.

Nice To Haves

Experience debugging and optimizing advanced SQL queries, database objects, and legacy components.
Ability to implement database security models and data protection policies.
Expertise in implementing row-level security, dynamic data masking, and role-based access control within Microsoft Fabric and Power BI environments.
Familiarity with Microsoft OneLake architecture, including data cataloging, lineage tracking, item-level security, and workspace-based access management.
Proven ability to operate effectively in dynamic, client-facing environments, delivering scalable and compliant data solutions with a focus on performance and quality.

Responsibilities

Design, develop, and maintain Power BI reports, dashboards, DAX expressions, KPIs, and scorecards using both Import and Direct Query modes.
Build and orchestrate scalable ETL/ELT workflows using Fabric Data Pipelines, Dataflows Gen2, and Azure Data Factory.
Write and tune complex T-SQL and KQL queries, stored procedures, and views for performance in Synapse SQL and SQL Server environments.
Implement data models based on star/snowflake schemas and support modern data warehousing and Lakehouse architectures using Microsoft Fabric.
Integrate structured and unstructured data sources (e.g., SQL, Excel, APIs, Blob Storage), and transform them efficiently using Fabric Notebooks (Spark/PySpark) or Dataflows.
Diagnose and resolve pipeline failures, logic errors, and performance bottlenecks across the data engineering lifecycle.
Automate repetitive data processes using Azure Functions, Logic Apps, PowerShell, or Python scripting within the Fabric ecosystem.
Collaborate with stakeholders to gather business requirements and translate them into scalable data solutions.
Ensure data governance, privacy, and compliance standards (e.g., GDPR, HIPAA, ISO) are adhered to, including sensitive data handling policies.
Apply best practices for item-level security, workspace-based access models, and data lineage using Microsoft One Lake and Fabric tools.