Data Engineer – Data Analytics, Business Intelligence

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☕ Washington – Remote

☕ Washington – Remote

💵 $135k - $145k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

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Blueprint

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

🛒 Retail

Retail • Financial Services • Health & Life Sciences

Blueprint is a technology consulting firm that helps organizations modernize their data platforms and accelerate AI adoption. They specialize in Databricks and lakehouse solutions, data migrations (including Snowflake-to-Databricks), data governance and Unity Catalog, cloud and infrastructure, generative AI (AI Factory), analytics, application development, and video analytics. Blueprint focuses on delivering fast time-to-value with accelerators like the Lakehouse Optimizer and Augmented FinOps, serving enterprise clients across regulated and data-intensive industries.

📋 Description

• Partner with engineering, operations, program management, and business stakeholders to understand objectives, define reporting requirements, and deliver analytics solutions that support informed decision-making. • Analyze large, complex datasets to identify trends, anomalies, performance gaps, risks, and opportunities for operational improvement. • Conduct data quality assessments, validation, and verification activities to ensure accuracy, completeness, consistency, and integrity across multiple data sources. • Design, implement, automate, and maintain scalable data collection, transformation, validation, and reporting processes. • Develop and maintain dashboards, KPI scorecards, reports, and self-service analytics solutions that provide visibility into operational performance, program health, technical metrics, and business outcomes. • Build data validation frameworks, monitoring processes, and quality controls to proactively identify and resolve data issues. • Collaborate with technical teams to enhance data models, reporting structures, metadata management practices, and overall data governance initiatives. • Translate complex technical findings into clear, concise, and actionable recommendations for both technical and executive audiences. • Drive process improvements through automation, standardization, and implementation of scalable analytics and reporting solutions. • Support root cause investigations by leveraging data to identify drivers of operational issues, risks, and performance challenges. • Document methodologies, business requirements, reporting processes, and data quality standards to ensure consistency and scalability.

🎯 Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Analytics, or a related technical field. • 5–7 years of professional experience in data analytics, business intelligence, reporting, data quality management, or a related discipline. • 4+ years of experience conducting data quality validation and verification to ensure data accuracy, completeness, and consistency across multiple systems and sources. • 4+ years of experience analyzing large datasets to identify trends, anomalies, risks, gaps, and opportunities for improvement. • 3+ years of experience developing dashboards, reports, and visualizations using Power BI, Tableau, or similar business intelligence platforms. • Experience designing and implementing data quality monitoring, validation, and governance processes. • Experience automating manual workflows using scripting, workflow automation, or data integration technologies. • Strong analytical, troubleshooting, problem-solving, and investigative skills. • Excellent written and verbal communication skills with the ability to present complex findings to both technical and non-technical audiences. • Demonstrated success delivering scalable solutions that improve operational visibility, efficiency, and data reliability.

🏖️ Benefits

• Medical, dental, and vision coverage • Flexible Spending Account • 401k program • Competitive PTO offerings • Parental Leave • Opportunities for professional growth and development