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New Relic · 3 days ago

Senior Data Engineer

Portland, OR

Full-time

Hybrid

Senior Level

$142K/yr - $177K/yr

5+ years exp

New Relic is a global team of innovators dedicated to shaping the future of observability. They are seeking a Senior Data Engineer to drive business understanding and leverage data for insights, working closely with ML and Data teams to create robust data solutions.

AnalyticsApplication Performance ManagementCloud ComputingIT InfrastructureMobileSaaSSoftware

Comp. & Benefits

No H1B

Responsibilities

Deeply understand business processes, objectives, and challenges to identify key business metrics and opportunities for data-driven improvement

Proactively identify and analyze business anomalies, conducting root cause analysis and recommending corrective actions

Define and document clear, actionable business rules to ensure data quality, consistency, and integrity across systems

Collaborate closely with ML and Data Engineering teams to translate business requirements into technical specifications for data pipelines, models, and analytical solutions

Lead the definition and scoping of data-driven projects, including business use cases, success criteria, and key deliverables

Develop and implement robust data validation and quality checks to ensure the accuracy and reliability of business-critical data

Design and build insightful dashboards and reports that provide business stakeholders with actionable insights and monitor key performance indicators

Contribute to internal and customer-facing data product strategy, focusing on business value and user adoption

Lead incident response for data quality or business rule issues, conducting root cause analysis and implementing preventative measures

Qualification

Data analysisSQLData visualizationData governanceDBTAnalytical skillsCommunication skillsInterpersonal skillsCollaboration

Required

5+ years of experience in data analysis, with a strong emphasis on business analysis and defining business rules

Proven ability to deeply understand business processes and translate complex business problems into data analysis requirements

Strong analytical skills with experience in identifying anomalies, trends, and patterns in large datasets

Proficiency in SQL for data extraction, manipulation, and analysis

Experience with data visualization tools (e.g., Tableau, Looker, Power BI) for creating impactful dashboards and reports

Excellent communication and interpersonal skills, with the ability to effectively collaborate with business stakeholders, ML engineers, and data engineers

Ability to think productively and partner with business and AI teams to drive data-driven solutions

Familiarity with data governance principles and best practices

Must have DBT