Lead Business Operations Data Engineer

🕒 August 12

🏢🏡 Broomfield – Hybrid

💵 $146k - $183k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Quantinuum

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2021

🤖 Artificial Intelligence

🔒 Cybersecurity

🔬 Science

💰 Corporate Round on 2024-01

Artificial Intelligence • Cybersecurity • Science

Quantinuum is the world’s largest integrated quantum company, specializing in the development of powerful quantum computers and advanced quantum software solutions. The company aims to push the boundaries of what’s possible in quantum computing, focusing on applications across various industries, including materials science, cybersecurity, and complex molecular simulations. With a commitment to making quantum computing accessible and impactful, Quantinuum is a leader in advancing commercial quantum technologies.

📋 Description

• Partner with the Platform technical team and Offering Management on resource demand planning and capacity analytics, including platform systems usage, census forecasting, and materials and services needs • Analyze and report on machine uptime, throughput rates, job success/failure rates, and customer commitment fulfillment • Build and maintain time reporting and census analytics, auditing data for completeness and accuracy • Own platform usage reporting, including SOX-compliant financial reporting, active user and project counts, system reliability indicators, and feature adoption metrics • Design, develop, and maintain scalable ETL/ELT pipelines from operational systems and enterprise tools • Implement monitoring, observability, and alerting for data pipelines and platform health • Architect and implement robust data models and data integration solutions • Transform raw data into analytics-ready tables and semantic layers using dbt or similar frameworks • Maintain and evolve data warehouses and reporting layers • Ensure data accuracy, lineage, documentation, and auditability • Partner with engineering and platform teams on data architecture, governance, access patterns, integrations, and engineering practices • Deliver self-service analytics dashboards and datasets • Communicate insights through narratives, visuals, and recommendations for technical and non-technical audiences • Own the data analytics strategy and roadmap for resource forecasting and platform usage • Provide authoritative reporting and BI dashboards for leadership investment decisions

🎯 Requirements

• Bachelor’s degree minimum • Minimum 8+ years of experience in data engineering, analytics engineering, business intelligence, or operational analytics • Experience owning data pipelines, data models, and executive-facing reporting in a business-critical environment • Must be a U.S. Person: U.S. citizen, permanent resident or green card holder, or worker granted asylum or refugee status • Must not be a People's Republic of China national or Russian national unless also a U.S. citizen • Advanced SQL proficiency, including complex joins, window functions, analytical modeling, query optimization, and performance tuning • Experience designing, building, and maintaining production-grade ETL/ELT pipelines and analytical models • Experience with Python or another scripting language • Experience with cloud data warehouses, data platforms, or Lakehouse environments • Experience with analytics engineering, dimensional modeling, semantic layers, reusable metrics, and self-service analytics • Experience with Git-based workflows, code review, documentation, and repeatable deployment practices • Experience with data quality testing, validation, monitoring, lineage, and auditability • Experience building leadership dashboards and reports • Strong communication skills and cross-functional collaboration • Ability to define and influence technical standards for data systems • Experience delivering varied analytics • Familiarity with Power BI, Tableau, Grafana, or equivalent • Experience with dbt or similar analytics engineering frameworks • Experience with Airflow, Dagster, Prefect, Azure Data Factory, or equivalent • Experience supporting SOX, financial, compliance, or audit-sensitive reporting • Experience analyzing system reliability, usage, or operational performance metrics • Ability to identify insights and recommend improvements • Experience optimizing data platforms for performance, cost, reliability, scalability, and observability • Safety-sensitive placement requires a pre-employment drug test

🏖️ Benefits

• A competitive salary and innovative, game-changing work • Flexible work schedule • Employer subsidized health, dental, and vision insurance • 401(k) match for student loan repayment benefit • Equity • 401k retirement savings plan • 12 Paid holidays • Generous vacation + sick time • Paid parental leave • Employee discounts