Staff Data Engineer

Vaga não está no LinkedIn

🕒 2 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $145.000 - $190.000 / ano

⏰ Tempo Integral

🔴 Especialista

🚰 Engenheiro de Dados

👻 Score fantasma 20%

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Priority Technology Holdings, Inc. (NasdaqCM:PRTH)

SiteLinkedInTodas as Vagas

- funcionários

🤝 B2B

🏢 Corporativo

💰 $50.000.000 Post-IPO Debt - Priority Commerce em 2025-08

B2B • Enterprise

Priority Technology Holdings, Inc. (NasdaqCM:PRTH) é uma empresa holding de capital aberto. Nenhuma informação específica adicional sobre a empresa foi fornecida na solicitação; portanto, esta descrição é intencionalmente conservadora e limitada a fatos verificáveis. A empresa parece estar associada à tecnologia por meio de seu nome, mas subsidiárias operacionais precisas, produtos ou serviços não foram especificados aqui.

Descrição

• Lead the technical design of large-scale data systems, pipelines, and platform capabilities across multiple domains and engineering teams • Define reusable architecture patterns, engineering standards, and best practices for ingestion, transformation, orchestration, data quality, and data delivery • Design scalable solutions across Snowflake and supporting cloud technologies, emphasizing reliability, performance, maintainability, and cost efficiency • Partner with Data Engineering, Analytics Engineering, QA, Software Engineering, and business teams to translate complex requirements into sustainable technical solutions • Provide technical leadership for batch, CDC, streaming, API, and file-based data ingestion patterns • Drive architecture for outbound data delivery through data sharing, APIs, SFTP, cross-cloud integrations, and other distribution mechanisms • Support data products including Reporting Platform, DataBridge, AI-enabled applications, and MCP-based data services • Establish and improve observability, monitoring, automated testing, data quality, CI/CD, and operational readiness practices • Identify platform limitations, technical debt, and scalability risks, driving long-term solutions • Lead technical reviews for high-impact initiatives and align architectural decisions with enterprise standards • Mentor senior and junior engineers through design reviews, technical guidance, and knowledge sharing • Partner with engineering and business leadership on roadmap planning, architecture decisions, technical tradeoffs, and investment priorities • Support complex production incidents and drive root-cause resolution and reliability improvements • Evaluate emerging technologies and introduce approaches that improve scalability, automation, developer productivity, or business capabilities

🎯 Requisitos

• 8–12 years of experience in data engineering, software engineering, data platform engineering, or a related technical field • Deep expertise in data architecture, distributed data processing, data warehousing, and large-scale data platform design • Strong hands-on experience with Snowflake, including architecture, performance optimization, security, governance, and cost management • Strong data querying skills and coding proficiency in Python, Java, or similar programming languages • Strong experience with data modeling, ETL/ELT architecture, workflow orchestration, and performance optimization • Experience designing and operating production-grade batch, streaming, or CDC-based data pipelines • Strong experience with cloud-based data platforms and modern data engineering architectures • Demonstrated ability to design scalable technical solutions across multiple systems and domains • Experience establishing engineering standards, reusable frameworks, or architecture patterns adopted by multiple teams • Strong understanding of data quality, observability, monitoring, CI/CD, and operational reliability • Demonstrated ability to operate independently on highly ambiguous and complex technical problems • Experience mentoring engineers and influencing technical decisions without direct management authority • Strong communication skills with the ability to explain complex technical concepts, tradeoffs, and recommendations to technical and non-technical stakeholders • Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience • Preferred: experience with AWS data services, distributed processing technologies, and event-driven architectures • Preferred: experience with Kafka, Debezium, Spark/PySpark, Airflow, or similar platforms • Preferred: experience designing external data sharing and delivery solutions across Snowflake, APIs, SFTP, and cross-cloud environments • Preferred: experience with fintech, payments, commerce, financial services, or other highly regulated environments • Preferred: familiarity with AI/ML data architectures, AI-enabled applications, agentic workflows, or MCP-based integrations • Preferred: experience designing platforms or frameworks enabling self-service data engineering or workflow automation • Preferred: experience with governance, lineage, metadata management, access controls, and secure data-sharing patterns • Preferred: experience leading modernization, migration, or platform transformation initiatives • Preferred: Master’s degree in Computer Science, Engineering, Data Science, or a related technical discipline

🏖️ Benefícios

• Bonus programs • 401(k) match • Employee Stock Purchase Program (ESPP) • HSA and FSA options • Financial wellness resources and employee discount programs • Medical, dental, and vision coverage • Mental health support for employees and dependents through Lyra Health • Family planning and women’s health benefits through Carrot • Gym membership reimbursement and virtual wellness programs (including yoga) • 3 weeks PTO to start, with unlimited PTO after year one • Education expense reimbursement • Leadership development programs • Certified Payments Professional (CPP) certification support