Data Engineer
Job Location: Seattle, Washington, United States (SL)
Job Role :
We are looking for a skilled and delivery-oriented Data Engineering Lead with strong technical expertise in data engineering, hands-on experience with Microsoft Azure, and the ability to manage a small team of data engineers. The candidate will be responsible for translating client requirements into actionable technical tasks, overseeing data pipeline development, ensuring high-quality deliverables, and maintaining alignment with business objectives and delivery timelines. The candidate should also have experience in digital marketing measurement, A/B testing frameworks, and leveraging AI tools to improve productivity and operational efficiency.
Responsibilities :
1. Team Leadership and Delivery Management
• Lead a team of 3-4 data engineers, providing technical guidance and delivery oversight.
• Track progress, manage risks and dependencies, and ensure timely, high- quality delivery.
• Drive team collaboration, accountability, and continuous improvement.
2. Client Engagement
• Engage with clients and stakeholders to understand business requirements and objectives.
• Translate requirements into actionable technical tasks and delivery plans.
• Ensure alignment across clients and engineering teams on scope, priorities, progress, and timelines.
• Proactively communicate delivery status, risks, and dependencies.
3. Data Engineering and Development
• Design, develop, and optimize scalable data pipelines using SQL, Python,and PySpark.
• Implement robust data integration, transformation, and validation processes.
• Troubleshoot pipeline issues and ensure data quality, performance, and reliability.
• Adhere to engineering best practices for coding, testing, and documentation.
4. Azure and Microsoft Fabric
• Develop and manage data engineering solutions using Azure services,
• including ADLA, ADLS, Azure Synapse Analytics, and Microsoft Fabric.
• Build, monitor, and optimize data pipelines to ensure reliable and timely execution.
• Manage Power BI dashboards and reporting assets within Microsoft Fabric workspaces.
• Collaborate with analytics teams to support business reporting and data accessibility.
5. Digital Marketing Measurement and Experimentation
• Support marketing measurement for digital products involving campaign analytics, and performance reporting.
• Apply knowledge of A/B testing frameworks, experiment design/, control groups, and KPI evaluation.
• Ensure data quality and availability for marketing measurement, experimentation, and business insights.
• Translate measurement requirements into scalable data solutions.
6. AI-Enabled Productivity and Innovation
• Leverage AI tools to enhance development efficiency, troubleshooting, and documentation.
• Identify automation opportunities to streamline engineering workflows.
• Ensure responsible AI usage, including data privacy, security, and output validation.
Required skills :
SQL, Python, pyspark, MS Azure,Azure Data Services, Microsoft Fabric, Power BI.
Base pay range : USD $157,000 - USD $ 175,500 annually. This range reflects Base salary only - it excludes Incentive and benefits - and is a good-faith estimate for this level and location that may vary based on experience, skills, and where the role is performed.
Communication : This role requires fluent spoken and written English to communicate directly with client stakeholders - a job-related requirement of the client-facing work itself, not of any candidate's background or origin.
