Data Engineer

Apptad Inc.

Bellevue, WA, United States

25 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Compensation

$124,800.0 - $166,400.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Query Performance Code Review Information Engineering Data Governance Extract Transform Load (ETL) Data Security Dimensional Modeling Meta-Data Management Query Optimization Power BI Azure Data Factory Git

+5 more

Microsoft Fabric Data Lineage Star Schema Data Pipelines Databricks

Job description

Design, develop, and maintain enterprise semantic models in Microsoft Fabric.
Build scalable data pipelines using Microsoft Fabric, Databricks, and Azure data services.
Develop and optimize data models, including dimensions, facts, hierarchies, relationships, and reusable business metrics.
Implement Row-Level Security (RLS) and Object-Level Security (OLS) to enforce secure data access.
Create and optimize DAX measures and semantic models for enterprise reporting and analytics.
Develop ETL/ELT pipelines to ingest, transform, and publish data from multiple enterprise data sources.
Ensure data quality, lineage, governance, and metadata management across the data platform.
Optimize query performance for large-scale analytical workloads.
Collaborate with business stakeholders to translate reporting and analytics requirements into scalable data solutions.
Support enterprise compliance initiatives, including SOX controls, audit readiness, and secure handling of sensitive data.
Participate in code reviews, documentation, testing, and production support.

Requirements

8+ years of experience in Data Engineering.
Strong hands-on experience with Microsoft Fabric.
Strong experience with Databricks.
Expertise in Data Modeling (Dimensional Modeling, Star Schema, Snowflake Schema, Semantic Models).
Experience building scalable ETL/ELT pipelines.
Strong SQL development and query optimization skills.
Experience with Azure Data Services (ADF, ADLS, Synapse/Fabric).
Knowledge of DAX, Power BI Semantic Models, and enterprise reporting.
Experience implementing RLS and OLS security models.
Familiarity with data governance, data lineage, and metadata management.
Experience with Git and CI/CD deployment practices.