Managing Engineer, Data Engineering

🕒 October 5

🇺🇸 United States – Remote

💵 $120k - $193.7k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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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Allstate

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1931

💼 Consulting

📦 Logistics

🛡️ Insurance

💰 Post-IPO Equity on 2014-01

Consulting • Logistics • Insurance

Allstate is an industry leader in providing insurance solutions, focusing on home, auto, device, and identity protection. With a commitment to customer well-being, Allstate aims to instill peace of mind and financial security for its customers. The company also emphasizes community impact and sustainability through various initiatives, showcasing their dedication to social responsibility and positive change.

📋 Description

• Lead, mentor, and coach Data Engineers and support their technical and professional development • Establish engineering standards and promote best practices, collaboration, accountability, knowledge sharing, and continuous improvement • Lead the design, development, implementation, and support of scalable batch and streaming data solutions • Develop reusable patterns for data ingestion, transformation, storage, and access • Integrate data from APIs, databases, event streams, third-party platforms, and enterprise systems • Participate in architecture discussions, solution design, code reviews, troubleshooting, and complex problem-solving • Promote version control, automated testing, continuous integration, automated deployment, and infrastructure automation • Establish standards for data quality, validation, monitoring, lineage, and observability • Optimize data pipelines, databases, queries, and storage solutions for performance and cost • Support production operations and lead critical incidents, root-cause analysis, and preventative improvements • Partner with Product Managers, Architects, Engineers, Analysts, and business stakeholders to deliver data solutions • Translate business and product needs into technical roadmaps and defined engineering work • Lead or contribute to planning, prioritization, estimation, and delivery activities • Manage risks, dependencies, resource needs, and competing priorities • Communicate progress, technical recommendations, risks, and dependencies to stakeholders and leaders • Promote data governance, metadata management, data lineage, classification, and data quality • Ensure compliance with security, privacy, governance, and regulatory requirements • Support cloud modernization, data platform transformation, innovation, automation, and responsible use of generative and agent-based AI tools • Depending on position level, support or lead hiring, onboarding, performance feedback, career development, and workforce planning • This job has supervisory duties

🎯 Requirements

• 5 or more years of experience designing, developing, and supporting data solutions, data pipelines, or enterprise software systems (5+ years opportunity) • 1 or more years of experience providing technical leadership, mentorship, coaching, or project leadership (5+ years opportunity) • 7 or more years of experience designing, developing, and supporting data solutions, data pipelines, or enterprise software systems (7+ years opportunity) • 3 or more years of experience leading, mentoring, or managing technical professionals (7+ years opportunity) • Experience guiding engineers through technical mentorship and knowledge sharing • Experience with coaching, performance management, career development, hiring, and team development • Strong hands-on experience developing data pipelines using Python, Java, Scala, or a comparable programming language • Experience designing and supporting batch or streaming data solutions • Experience with Apache Spark, Apache Kafka, Apache Flink, dbt, or comparable technologies • Strong knowledge of SQL, NoSQL databases, data modeling, and data storage or architecture concepts • Experience integrating data from APIs, databases, event streams, third-party platforms, and enterprise systems • Experience with automated testing, continuous integration and delivery, deployment automation, observability, and DevOps practices • Experience with Docker and Kubernetes • Strong communication, collaboration, decision-making, and stakeholder management skills • Ability to influence technical outcomes and balance hands-on engineering, people leadership, and delivery accountability • Background investigation required • Reliable internet with minimum speeds of 50 MB download and 5 MB upload • Dedicated, private home workspace with appropriate desk and seating • Allstate generally does not sponsor individuals for employment-based visas for this position

🏖️ Benefits

• Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse • Monthly connectivity reimbursement for employees eligible to work from home • Remote work arrangement