Data Engineer
Listed on 2026-11-06
-
IT/Tech
Data Engineering, Data Analyst
Seattle, Washington, United States (SL)
Latent View Analytics is a global dataanalytics and AI solutions company that partners with Fortune 500 andhigh-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.
We are looking for askilled and delivery-oriented Data Engineering Lead with strong technical expertise in data engineering, hands-on experience with Microsoft Azure, andthe 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- 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.
- 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.
- 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.
- 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 work spaces.
- Collaborate with analytics teams to support business reporting and data accessibility.
- 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.
- 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.
Base payrange: 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, andwhere the role is performed.
Communication:
Thisrole 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.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).