Staff Data Engineer

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $145k - $190k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 20%

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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Priority Technology Holdings, Inc. (NasdaqCM:PRTH)

WebsiteLinkedInAll Job Openings

- employees

🤝 B2B

🏢 Enterprise

💰 $50M Post-IPO Debt - Priority Commerce on 2025-08

B2B • Enterprise

Priority Technology Holdings, Inc. (NasdaqCM:PRTH) is a publicly traded holding company. No additional company-specific information was provided in the prompt; therefore this description is intentionally conservative and limited to verifiable facts. It appears to be associated with technology through its name, but precise operating subsidiaries, products, or services were not specified here.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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