WEX · 1 day ago
Principal Data Engineer
Maine, United States
Full-time
Remote
Senior Level, Lead/Staff
$156K/yr - $208K/yr
10+ years exp
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Responsibilities
Collaborate with partners and stakeholders to understand customers’ business challenges and key requirements.
Design, test, code, and instrument complex data products, systems, platforms, and pipelines. Ensure high-quality, scalable, reliable, secure, cost-effective, and user-friendly solutions.
Utilize data to drive decisions by effectively measuring and analyzing outcomes.
Develop and maintain CI/CD automation using tools like GitHub Actions.
Implement Infrastructure as Code (IaC) using tools like Terraform, including provisioning and managing cloud-based data infrastructure.
Apply software development methodologies such as TDD, BDD, and Microservice/Event-Oriented Architectures to ensure efficiency, reliability, quality, and scalability.
Support live data products, systems, and platforms by promoting proactive monitoring, ensuring high data quality, rapid incident response, and continuous improvement.
Analyze data, systems, and processes independently to identify bottlenecks and opportunities for improvement. Lead complex problem diagnostics and drive timely resolutions.
Mentor peers and foster continuous learning of new technologies within the team and the broader organization, consistently upholding high technical standards.
Attract top industry talent; contribute to interviews and provide timely, high-quality feedback.
Serve as a role model by adhering to team processes and best practices, ensuring your solutions effectively solve customer and business problems in a reliable and sustainable way.
Collaborate with or lead peers in completing complex tasks, ensuring timely and effective execution.
Lead a Scrum team with hands-on involvement, ensuring high-quality and timely development and delivery aligned with agile best practices.
Own large, complex systems, platforms, and products, driving future developments and ensuring they deliver measurable business value.
Lead and actively participate in technical discussions, ensuring the team stays at the forefront of industry advancements.
Design and build high-performance, reliable systems with attention to detail and craftsmanship.
Complete large, complex tasks independently, seeking feedback from senior peers to maintain high quality.
Proactively identify and communicate project dependencies.
Review peer work, providing constructive feedback to promote continuous improvement.
Build scalable, secure, and high-quality big data platforms and tools to support data transfer, ingestion, processing, serving, delivery, and data governance needs.
Design and build efficient systems, platforms, pipelines, and tools for the entire data lifecycle, including ingestion, cleaning, processing, enrichment, optimization, and serving, leveraging the data platform. Develop systems for high-quality, user-friendly data delivery for internal and external use.
Develop data quality measurement and monitoring techniques, metadata management, data catalogs, and Master Data Management (MDM) systems.
Use data modeling techniques to design and implement efficient, easy-to-use data models and structures.
Become a deep subject matter expert in your functional area, applying best practices.
Apply creative problem-solving techniques to assess unique circumstances and suggest or implement solutions.
Leverage data and AI technologies to enhance productivity and solution quality, influencing peers to adopt these practices.
Lead team initiatives by applying your extensive experience and technical expertise to drive decisions on methods and approaches to complex issues.
Hold yourself and your team accountable for delivering high-quality results aligned with defined OKRs (Objectives and Key Results).
Provide strategic advice to senior leadership on highly complex situations, leading teams through initiatives that achieve excellent results.
Offer thought leadership on business initiatives by applying deep technical and industry expertise.
Qualification
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Required
Bachelor's degree in Computer Science, Software Engineering, or a related field, OR demonstrable equivalent deep understanding, experience, and capability.
10+ years of experience in large-scale software engineering.
A technically deep, innovative, empathetic, and passionate technical leader capable of delivering on business needs.
Strong problem-solving skills, with excellent communication and collaboration abilities.
Highly self-motivated and eager to learn, consistently adopting new technologies to improve productivity and the quality of deliverables.
Extensive experience in architecture design, creating simple, high-quality, performant, and efficient solutions for large, complex problems.
Deep expertise in CI/CD automation.
Rich experience in combined engineering practices and Agile development, with a track record of leading teams to adopt these methods effectively.
Extensive experience and strong implementation skills in programming languages such as Java, C#, Golang, and Python, including coding, automated testing, measurement, and monitoring, ensuring high productivity.
Expertise in data processing techniques, including data pipeline/platform development, SQL, and database management.
Extensive experience in data ingestion, cleaning, processing, enrichment, storage, and serving, using tools such as ELT, SQL, relational algebra, and databases.
Experience with cloud technologies, including AWS and Azure.
Strong understanding of data warehousing and dimensional modeling techniques.
Passionate about solving customer and business problems through innovative solutions.
Understanding of data governance principles.
Preferred
Proven expertise in designing and implementing scalable, reliable, and cost-effective data architectures, including data lakes, lake houses, and data warehouses, to support analytics, real-time processing, and AI/ML applications.
Extensive experience building and optimizing high-throughput data ingestion frameworks for diverse data types (structured and unstructured) using tools like Kafka, Spark, AWS Glue, and Apache NiFi, with strong ETL/ELT proficiency.
Hands-on experience with AWS, Azure, or GCP managed services for data storage, compute, and orchestration, along with Infrastructure as Code (IaC) for scalable provisioning.
Expertise in efficient data modeling and schema design for analytical and transactional data, focusing on optimal data retrieval and storage practices.
Deep knowledge of event-driven and streaming architectures to enable real-time data processing and responsive data products.
Benefits
Health, dental and vision insurances
Retirement savings plan
Paid time off
Health savings account
Flexible spending accounts
Life insurance
Disability insurance
Tuition reimbursement
Company
WEX
Wex is a financial technology service provider for fleet, travel and healthcare industries.
5001-10000 employees
H1B Sponsorship
WEX has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (7)
2022 (16)
2021 (23)
2020 (18)
Funding
Current Stage
Public CompanyTotal Funding
$400MKey Investors
Warburg Pincus
2020-06-30Post Ipo Equity· $90M
2020-06-30Post Ipo Debt· $310M
2005-02-16IPO
Leadership Team
Melissa Smith
Chair and Chief Executive Officer
David Cooper
CTO
Recent News
2024-11-28
2024-10-24
Company data provided by crunchbase
