Sr. Data Engineer

BrickRed Systems; Bellevue (WA); On-site; USD 140,000 - 190,000; Full time

Job summary

BrickRed Systems is seeking an experienced Sr. Data Engineer to design, build, and operate production-grade data pipelines and lakehouse data products.

The role focuses on device supply chain, reverse logistics, procurement, network supply chain, and real-time control tower capabilities, with hands-on work in Databricks, Python, Salesforce automation, ETL, SQL, and Azure Data Factory. The ideal candidate will have enterprise data engineering experience and expertise in medallion architecture and

Qualifications

• 5-10 years of Data Engineering experience in large enterprise environments.
• Strong hands-on experience with Data Engineering, Databricks, ETL, SQL and Python.
• 7+ years of experience with Azure Data Factory and Salesforce.
• 7+ years of experience with ETL and SQL.
• 5+ years of IT experience with Python.
• Experience with Databricks for data engineering and pipeline development.
• Experience with pipeline orchestration using Azure Data Factory, Databricks Workflows or Apache Airflow.
• Strong SQL skills for data validation, transformation logic and source-system analysis.
• Experience designing and implementing production-grade data pipelines.
• Experience working with lakehouse and medallion architecture.
• Experience with Microsoft Fabric or Azure Synapse Analytics.

Responsibilities

• Design and build production-grade data pipelines covering ingestion to gold-layer data products.
• Develop and maintain scalable ETL pipelines using Databricks, Azure Data Factory, SQL and Python.
• Apply medallion architecture (Bronze, Silver, Gold) across data products.
• Follow Fabric IQ certification standards where applicable.
• Collaborate with System Analysts to implement field-level transformations and data quality checks.
• Build data pipelines supporting device supply chain, reverse logistics, procurement, network supply chain and real-time control tower capabilities.
• Work with Salesforce automation and data integration requirements.
• Perform data wrangling to create reliable datasets.
• Collaborate with business, technology and product teams to deliver data solutions.
• Support ML Engineers and Data Scientists with relevant datasets.
• Conduct data and ML experiments to support business problems and product objectives.
• Fine-tune solutions and identify opportunities to improve performance and quality.
• Test solutions against business criteria.
• Document technical artifacts and communicate results with stakeholders.
• Support deployment and integration of data-driven solutions into production environments.
• Participate in product release planning and execution.
• Establish goals and success criteria with cross-functional teams.

Skills

Data Engineering

Databricks

ETL pipelines

SQL

Python

Azure Data Factory

Salesforce automation

Lakehouse

Medallion architecture

Airflow

Tools

Azure Data Factory

Salesforce

Job description

We are seeking an experienced Sr. Data Engineer with strong expertise in Databricks, Python, Salesforce Automation, ETL, SQL, and Azure Data Factory to design, build, and operate production-grade data pipelines and lakehouse data products.

The role supports data products across device supply chain, reverse logistics, procurement, network supply chain, and real-time control tower capabilities. The ideal candidate will have strong enterprise data engineering experience and hands-on expertise building scalable pipelines using medallion architecture, Azure Data Factory, Databricks, SQL, and Salesforce.

Key Responsibilities

• Design and build production-grade data pipelines covering source ingestion, bronze landing, silver transformation, and gold-layer data product delivery.
• Develop and maintain scalable ETL pipelines using Databricks, Azure Data Factory, SQL, and Python.
• Apply medallion architecture (Bronze, Silver, Gold) consistently across data product development.
• Follow Fabric IQ certification standards across applicable data product builds.
• Collaborate with System Analysts to implement field-level transformations, business rules, and data quality checks.
• Build and operate data pipelines supporting device supply chain, reverse logistics, procurement, network supply chain, and real-time control tower capabilities.
• Work with Salesforce automation and data integration requirements.
• Perform data wrangling and transformation activities to create reliable and usable datasets.
• Collaborate with business, technology, and product teams to understand requirements and deliver data solutions.
• Support ML Engineers and Data Scientists with relevant datasets and data engineering activities.
• Conduct data and ML-related experiments where required to support business problems and product objectives.
• Fine-tune solutions and identify opportunities to improve performance and data quality.
• Test solutions against defined business acceptance criteria.
• Document relevant technical artifacts and communicate results with business stakeholders.
• Support deployment and integration of data-driven solutions into production environments.
• Participate in product release planning and execution.
• Establish goals and success criteria while collaborating with cross-functional teams.

Required Qualifications

• 5-10 years of Data Engineering experience with a strong track record delivering production data pipelines in large enterprise environments.
• Strong hands-on experience with Data Engineering, Databricks, ETL, SQL, and Python.
• 7+ years of experience with Azure Data Factory and Salesforce.
• 7+ years of experience with ETL and SQL.
• 5+ years of IT experience with Python.
• Strong experience with Databricks for data engineering and pipeline development.
• Experience with pipeline orchestration using Azure Data Factory, Databricks Workflows, or Apache Airflow.
• Strong SQL skills for data validation, transformation logic, and source-system analysis.
• Experience designing and implementing production-grade data pipelines.
• Experience working with lakehouse and medallion architecture.
• Experience with Microsoft Fabric or Azure Synapse Analytics.
• Strong understanding of data quality, transformation, and enterprise data engineering practices.
• Strong collaboration skills with business, technology, product, and system-analysis teams.
• Ability to work independently in a large enterprise environment.

Preferred Qualifications

• Experience with Microsoft Fabric, Fabric IQ, and OneLake.
• Experience with Databricks Workflows or Apache Airflow.
• Experience with Salesforce data integration and automation.
• Experience supporting ML models and data science initiatives.
• Experience with data products supporting supply chain, logistics, procurement, or real-time operational capabilities.
• Experience with data quality frameworks and governance standards.
• Strong understanding of modern lakehouse architecture and enterprise data platforms.

ABOUT BRICKRED SYSTEMS

BrickRed Systems is a global leader in next-generation technology consulting and workforce solutions, specializing in delivering high-quality talent across digital, engineering, marketing, analytics, finance, operations, and business transformation domains. With a strong emphasis on innovation, scalability, and client success, BrickRed Systems helps organizations solve complex business challenges by providing skilled professionals across strategy, technology, creative, and operational functions. BrickRed fosters a culture of continuous learning, collaboration, and excellence, enabling professionals to contribute to high-impact global initiatives while advancing their careers.