WEX Inc. Logo

WEX Inc.

Software Engineer 2 - Data Acquisition

Posted 5 Days Ago
In-Office or Remote
13 Locations
Mid level
In-Office or Remote
13 Locations
Mid level
Design and implement data ingestion pipelines, develop reusable components, support observability, and partner with data consumers to enhance data integration.
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

Elt
ETL
Java
Kafka
Kinesis
Python
Scala
Spark Streaming

Similar Jobs

46 Minutes Ago
In-Office or Remote
8 Locations
Senior level
Senior level
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
Lead a regional team of Technical Architects to oversee architecture delivery for customer implementations, ensuring alignment with standards and best practices.
Top Skills: Integration TechnologiesMiddleware ToolsRelational DatabasesRestful ApisSftpSoapSQL
2 Hours Ago
Remote or Hybrid
Canada
Junior
Junior
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
As a Senior QA Engineer, ensure high quality by leading testing efforts, creating test plans, and collaborating with teams to resolve issues.
Top Skills: Android StudioC#Charles ProxyEspressoFirebaseJenkinsKotlinSwiftTestflightXcodeXctest
2 Hours Ago
Remote
Canada
Senior level
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
As a Senior Software Engineer in the Payments team, you will design and maintain fullstack payment systems and collaborate with cross-functional teams while mentoring others.
Top Skills: AWSDatabricksDockerGoGrpcJavaScriptKafkaReactSnowflakeTypescript

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