Lead Data Engineer — Remote, Paid Training

DHL; Santa Fe (NM); On-site; Confidential; Full time

Benefits offered by this job

Remote work options

Hybrid home/office flexibility

Paid training & conference attendance

Relocation support

Housing assistance

Childcare assistance

Job summary

DHL is seeking a Senior/Lead Data Engineer to design, build, and optimise data and analytics pipelines. You will work with software developers, data scientists, and analysts to deliver scalable data delivery architectures.

The role supports a global data platform with remote work options and flexible full-time/part-time arrangements. Located in Santa Fe, USA, with relocation support for international assignments possible.

Qualifications

• Multi-year experience as a Data Engineer or Software Developer.
• Proficiency in two or more languages from Python/Scala/Java/Kotlin/Go/Rust/C#/C/C++.
• Strong grasp of functional, event-driven, asynchronous, fault-tolerant paradigms.
• Experience building and maintaining large data pipelines and engineering tools such as Airflow, Azure Data Factory, NiFi, Flume, Beam.

Responsibilities

• Design, build and optimise data and analytics pipelines for product and analytics initiatives.

Skills

Data engineering

Multi-year experience

Programming languages

Functional programming

Event-driven design

Asynchronous systems

Fault-tolerant design

Tools

Airflow

Azure Data Factory

NiFi

Flume

Beam

Spark

Kafka

Prometheus

Job description

DHL is seeking a Senior/Lead Data Engineer to design, build, and optimise data and analytics pipelines. You will work with software developers, data scientists, and analysts to deliver scalable data delivery architectures.

The role supports a global data platform with remote work options and flexible full-time/part-time arrangements. Located in Santa Fe, USA, with relocation support for international assignments possible.