Senior Manager, Software Engineering – Data Acquisition

WEX

. lead our team in acquiring and processing high-volume data .

Posted 5/15/2026full-timeRemote • California, Illinois, Maine, Massachusetts, Washington • 🇺🇸 United StatesSenior💰 $175,600 - $204,300 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureCloudETLGoGoogle Cloud PlatformJavaKafkaKubernetesNoSQLPulsarPythonScalaSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data acquisitionAI-assisted engineering workflowsspecification-driven engineeringreal-time data pipelinesbatch data pipelinescloud platformsdata ingestion architecturesprogramming languagesdatabase technologiesETL/ELT tools

Soft Skills

leadershipmentoringteam managementcontinuous improvementcollaboration

Certifications

Bachelor's degreeMaster's degree