Senior Manager, Software Engineering – Data Acquisition

🕒 May 15

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Logo of WEX

WEX

5001 - 10000 employees

Founded 1983

🚗 Transport

💸 Finance

💳 Fintech

💰 $310M Post-IPO Debt on 2020-06

Transport • Finance • Fintech

WEX is a global commerce platform specializing in various business solutions to address operational challenges. They provide services in managing and mobilizing fleets with their fuel card systems, offering comprehensive fleet management and analytics. Additionally, they focus on business payments solutions that streamline processes across industries, enhancing efficiency and security. WEX is also involved in employee benefits administration, helping organizations effectively manage health and reimbursement accounts. Their diverse range of services caters to numerous sectors, emphasizing innovation, sustainability, and effective solutions for business growth.

📋 Description

• lead our team in acquiring and processing high-volume data • drive the evolution toward AI-augmented, spec-driven software development • recruit, mentor, and lead a high-performing team of software engineers focused on data acquisition • pioneer the adoption of AI-assisted software development across engineering teams • establish and enforce a specification-first development methodology • drive the migration to automated, metadata-driven, and declarative engineering architectures • define and execute the technical roadmap for all data acquisition pipelines and systems • provide authoritative technical direction on the design, development, and maintenance of data ingestion frameworks • partner closely with Product Management, Data Science, Data Governance, and other engineering teams • institute and champion continuous improvement in engineering processes, tools, and methodologies • guarantee the high availability and performance of all data acquisition systems

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field • 10+ years of experience in software engineering • At least 5+ years in a management role overseeing software engineering or data acquisition teams • Experience implementing AI-assisted engineering workflows in production software organizations • Deep understanding of specification-driven engineering • Deep expertise in building and managing high-volume, real-time and batch data pipelines (e.g., Kafka, Kinesis, Pulsar) • Proficiency with cloud platforms (e.g., AWS, Azure, GCP) • Experience designing scalable, serverless, or containerized data ingestion architectures (e.g., Kubernetes, EKS/AKS/GKE) • Strong knowledge of various data sources, integration patterns (APIs, web scraping, messaging queues), and ETL/ELT tools • Expertise in programming languages such as Java, Python, Scala, or Go • Solid understanding of database technologies (SQL, NoSQL, Data Warehouses like Snowflake, Redshift, etc.)

🏖️ Benefits

• health, dental and vision insurances • retirement savings plan • paid time off • health savings account • flexible spending accounts • life insurance • disability insurance • tuition reimbursement

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