WEX
About The Role
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. The Software Engineer 2 – Data Acquisition (Data Engineer) will design and build robust, scalable, and extensible pipelines that feed the entire data ecosystem at WEX. Your work will span batch, streaming, and event‑driven ingestion, ensuring quality, performance, and governance are embedded in every step.
WEX is undergoing a data platform transformation, and this team builds the foundation that powers analytics, automation, and product intelligence across all business domains. If you’re passionate about scaling data platforms from the ground up, this role offers a chance to 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 a 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 the ability to write maintainable, production‑ready code.
Hands‑on experience with ETL/ELT pipelines, schema management, and data modeling concepts.
Familiarity with streaming technologies such as Kafka, Kinesis, or 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. Non‑sales roles are typically eligible for a quarterly or annual bonus based on the role and applicable plan. WEX’s comprehensive and market‑competitive benefits support your personal and professional well‑being and 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.
Seniority level: Mid‑Senior; Employment type: Full‑time; Job function: Engineering and Information Technology (Software Development).
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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. The Software Engineer 2 – Data Acquisition (Data Engineer) will design and build robust, scalable, and extensible pipelines that feed the entire data ecosystem at WEX. Your work will span batch, streaming, and event‑driven ingestion, ensuring quality, performance, and governance are embedded in every step.
WEX is undergoing a data platform transformation, and this team builds the foundation that powers analytics, automation, and product intelligence across all business domains. If you’re passionate about scaling data platforms from the ground up, this role offers a chance to 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 a 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 the ability to write maintainable, production‑ready code.
Hands‑on experience with ETL/ELT pipelines, schema management, and data modeling concepts.
Familiarity with streaming technologies such as Kafka, Kinesis, or 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. Non‑sales roles are typically eligible for a quarterly or annual bonus based on the role and applicable plan. WEX’s comprehensive and market‑competitive benefits support your personal and professional well‑being and 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.
Seniority level: Mid‑Senior; Employment type: Full‑time; Job function: Engineering and Information Technology (Software Development).
#J-18808-Ljbffr