Backend Engineer – Commodities

Kpler

. Build and maintain scalable ingestion and processing pipelines for sensor, rail, and waterway data using Python, Kafka, and Airflow .

Posted 10/8/2026full-timeGreeceJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining scalable data ingestion and processing pipelines using Python, Kafka, and Airflow, while effectively collaborating with cross-functional teams to deliver robust backend services and user-facing applications.

Highest-signal resume keywords

Python ProgrammingBackend Service DevelopmentCloud Deployment (AWS)Data Ingestion PipelinesRESTful API Development

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

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

Hard Skills

PythonSQLPostgresFastAPIAirflowTypeScriptVueKafkaElasticsearchTime-Series Data

Soft Skills

Problem-SolvingCollaborationCommunication

Tools & Technologies

AWSMessage QueuesStreaming PlatformsCI/CD Workflows

Industry Keywords

IoTRemote SensorGeospatial DatasetsEnergyCommoditiesLogistics Supply Chains

Tech Stack

Tools & technologies

AirflowAWSCloudElasticSearchIoTKafkaPostgresPythonSQLTypeScriptVue.js

About the role

Key responsibilities & impact

Build and maintain scalable ingestion and processing pipelines for sensor, rail, and waterway data using Python, Kafka, and Airflow
Develop backend services using FastAPI and contribute to customer-facing web applications using TypeScript and Vue
Implement data validation, system monitoring, and alerting for noisy time-series data from field hardware
Operate owned services end-to-end, including deployments, observability, and on-call rotation participation
Collaborate with data science and sensor operations teams to transform raw telemetry into usable datasets
Participate in technical design discussions, improve CI/CD workflows, and deliver tested, well-documented code
Carry sensor telemetry from field hardware to paying customers through streaming ingestion pipelines, robust APIs, and user-facing features
Unite crude pipeline remote sensors, rail, and waterway data with maritime tracking to deliver a connected view from production basin to export terminal

Requirements

What you’ll need

2 to 4 years of professional software engineering experience building and supporting production software
Strong proficiency with Python and relational databases (SQL / Postgres)
Proven experience deploying, debugging, and operating backend services in cloud environments (AWS preferred)
Hands-on exposure to message queues, streaming platforms (e.g., Kafka), and RESTful API development
Strong problem-solving skills with a high degree of agency to move from ambiguous requirements to working code
Experience with FastAPI, Airflow, TypeScript, Vue, or Elasticsearch
Prior exposure to time-series, IoT, remote sensor, or geospatial datasets
Domain interest in energy, commodities, or logistics supply chains

Benefits

Comp & perks

Full-time employment
Hybrid work arrangement
Equal opportunity, fair, inclusive, and diverse work environment