Staff Data Engineer

Priority Technology Holdings, Inc. (NasdaqCM:PRTH)

. Lead the technical design of large-scale data systems, pipelines, and platform capabilities across multiple domains and engineering teams .

Posted 10/13/2026full-timeRemote • United StatesLead💰 $145,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data architecture, large-scale data platform design, and cloud-based data solutions, with a strong focus on Snowflake and data engineering best practices. Capable of leading technical design, mentoring engineers, and driving architectural decisions across multiple domains and teams.

Highest-signal resume keywords

Data ArchitectureSnowflake ExpertiseData Pipeline DesignCloud-Based Data PlatformsData Quality and Observability

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData WarehousingETL/ELT ArchitectureData ModelingPython ProgrammingJava ProgrammingWorkflow OrchestrationPerformance OptimizationBatch and Streaming Data ProcessingCI/CD Practices

Soft Skills

Technical LeadershipMentoringCommunication SkillsProblem SolvingCollaboration

Tools & Technologies

AWS Data ServicesKafkaDebeziumSpark/PySparkAirflowAPIsSFTPCross-Cloud IntegrationsData Quality ToolsMonitoring Tools

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s Degree in Computer Science

Industry Keywords

FintechPaymentsCommerceFinancial ServicesRegulated EnvironmentsAI/ML Data ArchitecturesData GovernanceMetadata ManagementSecure Data SharingPlatform Transformation

Tech Stack

Tools & technologies

AirflowAWSCloudETLJavaKafkaPySparkPythonSpark

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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