WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Data Engineer

Insight Global
Seattle, WA, United States
1 day ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source
www.juju.com

Tech stack

Microsoft Azure Data Validation Information Engineering Data Systems Database Queries Microsoft Dynamics Enterprise Data Management Data Ingestion Apache Spark Microsoft Fabric Data Pipelines

Job description

This Data Engineer will serve as the technical owner of the data ingestion and transformation platform supporting a large-scale Dynamics 365 financial system implementation. The individual will be responsible for building and maintaining Microsoft Fabric Lakehouse pipelines, managing Dataverse/Fabric Link integrations, and ensuring enterprise data flows reliably from source systems into reporting environments. The role requires hands-on expertise with data pipeline development, monitoring, data quality validation, and Azure-based analytics technologies. This person will work closely with Business Data Analysts and BI teams to deliver scalable, well-governed data solutions that power mission-critical reporting and analytics across the organization.

Requirements

4+ years of Data Engineering experience in production environments

Strong Microsoft Fabric experience (Lakehouse, Bronze/Silver/Gold architecture)

Experience building and maintaining data pipelines using Fabric Data Factory, Spark, or Fabric-native tools

Strong SQL skills for data validation, reconciliation, and troubleshooting

Experience with data quality testing, monitoring, and alerting

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.juju.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:37 min

Classifying and anonymizing data during system design

Reto Kaeser · LIVE

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

1:06 min

Ingesting streaming data securely with managed hubs

Eldert Grootenboer +1 · WWC 2023

2:50 min

Exploring the Microsoft Fabric workspace foundation

Alexandra Mihai Alexandra Mihai +2 · Europe 2026 Virtual

4:15 min

Bridging operational and analytical systems using formal data contracts

Matthias Niehoff Matthias Niehoff · WWC 2024

1:46 min

Traditional data architecture before Microsoft Fabric

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · WWC 2025

Videos

See all
From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
WWC Europe 2026 • about 1 month ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

When React Meets Reality: Building a Real-Time Control Room for Autonomous Vehicles thumbnail
27:22
Europe 2026 Virtual • about 1 month ago

When React Meets Reality: Building a Real-Time Control Room for Autonomous Vehicles

Mykhailo Naumenko

PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents thumbnail
26:58
WWC 2025 • 12 months ago

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents

Dr. Alexander Wachtel, Hanna Schwab

Modern Data Architectures need Software Engineering thumbnail
29:25
WWC 2024 • almost 2 years ago

Modern Data Architectures need Software Engineering

Matthias Niehoff

The Data Mesh as the end of the Datalake as we know it thumbnail
37:21
LIVE • about 5 years ago

The Data Mesh as the end of the Datalake as we know it

Mario Meir-Huber

Related articles

See all