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 outputvalidation.

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.