WEX Inc. Logo

WEX Inc.

Software Engineer 2 - Data Acquisition

Reposted 9 Days Ago
In-Office
12 Locations
Mid level
In-Office
12 Locations
Mid level
The role involves designing and implementing data ingestion pipelines, developing components for data transformation, improving platform observability, and collaborating with data consumers.
The summary above was generated by AI
About the Role

The Data Acquisition Team is the entry point to WEX’s Data-as-a-Service (DaaS) platform—responsible for ingesting, validating, and orchestrating raw data from dozens of internal systems and third-party providers.

As a Software Engineer 2 - Data Acquisition (Data Engineer), you’ll play a key role in designing and building robust, scalable, and extensible pipelines that feed the entire data ecosystem at WEX. You’ll work across multiple data domains and ingestion patterns—batch, streaming, and event-driven—while ensuring quality, performance, and governance are embedded in every step.

WEX is undergoing a data platform transformation—and this team builds the foundation. Every pipeline you create contributes directly to powering analytics, automation, and product intelligence across all business domains.

If you’re passionate about scaling data platforms from the ground up, this is your chance to help shape how WEX ingests and leverages its most valuable asset: data.

What You’ll Do
  • Design and implement moderately complex ingestion pipelines that integrate with internal and external systems.
     

  • Develop reusable components for data transformation, validation, and logging.
     

  • Contribute to both batch and streaming ingestion flows, ensuring scalability and maintainability.
     

  • Support platform observability by enhancing monitoring, alerting, and error-handling features.
     

  • Participate in design discussions, code reviews, and incident investigations.
     

  • Partner with data consumers to understand requirements and translate them into ingestion solutions.
     

  • Improve automation and testing coverage to reduce manual effort and increase pipeline reliability.
     


What You Bring
  • B.Sc. in Computer Science, Engineering, or related technical field (M.Sc. preferred). Equivalent experience considered.

  • 2–4 years of experience as a data or software engineer, ideally working with data pipelines or distributed systems.
     

  • Solid programming skills in Python, Java, or Scala, with ability to write maintainable, production-ready code.
     

  • Hands-on experience with ETL/ELT pipelines, schema management, and data modeling concepts.
     

  • Familiarity with streaming (e.g., Kafka, Kinesis, Spark Streaming) or batch frameworks.
     

  • Understanding of CI/CD, version control, and testing practices.
     

  • Exposure to observability practices such as logging, metrics, and tracing.
     

  • Strong sense of accountability and eagerness to take ownership of assigned deliverables.

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: $94,000.00 - $125,000.00

Top Skills

Ci/Cd
ETL
Java
Kafka
Kinesis
Python
Scala
Spark Streaming

Similar Jobs

26 Minutes Ago
Hybrid
Toronto, ON, CAN
Internship
Internship
Fintech • Machine Learning • Payments • Software • Financial Services
As an Associate Software Engineer, you'll collaborate within Agile teams, develop software applications using modern technologies, and participate in the software development life cycle while focusing on continuous learning.
Top Skills: AngularAWSCloudwatchEc2EspressoGoIamJavaScriptKotlinLambdaMockitojunitrunnerNew RelicNode.jsReactRoute53S3Security GroupsSplunkSwiftTypescriptXctest
30 Minutes Ago
Remote or Hybrid
6 Locations
Senior level
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The Horizon Practice Lead will enhance CrowdStrike's security business in Canada by collaborating with sales, marketing, and product teams, driving initiatives, and engaging customers on security products.
Top Skills: Cloud SecurityCybersecurityMarketingSales
4 Hours Ago
Easy Apply
Hybrid
Toronto, ON, CAN
Easy Apply
Mid level
Mid level
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software • Big Data Analytics • Automation
The Technical Content Writer will create and manage customer-facing documentation, ensuring quality standards and collaborating with internal teams to produce effective training materials and support content.
Top Skills: Ai PromptsHTML

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account