Build schema validation, completeness checks, reconciliation, duplicate prevention, and audit logging into shared ingestion components.
Support safe retries, replay, backfills, and schema evolution so failures can be recovered without losing or incorrectly duplicating data.
Design batch, CDC, and streaming ingestion patterns that meet agreed freshness, throughput, and recovery requirements. Evaluate performance, source-system impact, and operating cost when selecting and extending ingestion technologies.
Ensure traceability, lineage, and security through integration with control plane and governance systems.
Lead design and code reviews, maintain technical specifications and architectural decisions, and mentor engineers in reusable platform design.
Establish automated testing and CI/CD practices for ingestion code, connector configuration, and infrastructure, with validation before production deployment.
Partner with the established production support process on complex escalations, root-cause analysis, and preventive engineering improvements.
What You Bring
Required
B.Sc. in Computer Science, Engineering, or related technical field; M.Sc. a plus but not required.
8+ years of software engineering experience, including delivery of production distributed systems or data platforms and demonstrated technical leadership across team boundaries.
Strong programming skills in Python, Java, Scala, or another systems-focused language.
Experience with data integration and ingestion pipelines—you understand what it means to bring data in from source systems, transform it, and deliver it reliably downstream.
Solid grasp of engineering fundamentals, including version control, modular design, testing, and performance tuning.
Demonstrated experience designing and operating production integrations that handle schema evolution, failure recovery, observability, and secure access.
Ability to lead architecture decisions, explain engineering tradeoffs, resolve dependencies across teams, and guide implementation through production adoption.
Practical experience using AI-assisted engineering tools for design, coding, testing, or documentation, with validation of generated outputs for correctness, security, and maintainability.
A collaborative mindset—comfortable working across domains, products, and infrastructure layers.
A strong sense of ownership and accountability—you care deeply about building systems that last.
Preferred
Experience building reusable connectors, metadata-driven ingestion services, or configuration-driven onboarding capabilities.
What Success Looks Like
During your first year, you will work with engineering and product leadership to establish baselines and agree on outcomes such as:
Reducing onboarding lead time and manual effort through shared connectors and configuration-driven patterns.
Increasing adoption of reusable ingestion capabilities across sources and teams.
Meeting agreed completeness and freshness criteria, with reliable reconciliation and recovery.
Improving deployment quality and reducing recurring failures through automated testing and actionable observability.
The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.
Pay Range: $140,600.00 - $173,100.00
