Data Engineer

*Data Engineer* ** ** *Job Location:* ** *Seattle, Washington, United States (SL)* ** ** *About LatentView* ** ** LatentView Analytics is a global data analytics and AI solutions company that partners with Fortune 500 and high-growth clients to turn data into competitive advantage. Our teams combine deep technical expertise with business context to ship measurable outcomes — not just models and dashboards — across industries. ** *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.