Junior Data Engineer

We are dedicated to building a cleaner more sustainable future. By applying innovative technology and data-driven insights to green environmental initiatives we help measure analyze and reduce environmental impact at scale. We are looking for a passionate forward-thinkingJunior Data Engineerto join our data team and help build the data pipelines powering our eco-focused solutions.

As a fresh graduate joining our team you will work closely with senior data engineers and analysts to design build and maintain high-volume data pipelines. You will transform raw environmental datasetssuch as energy metrics carbon emissions data and resource usageinto actionable insights. This role is ideal for a recent Computer Science graduate eager to apply modern data tooling (AWS PySpark Python) toward solving meaningful sustainability challenges.

• Pipeline Development:Design build and maintain automated batch and real-time ETL/ELT pipelines to ingest clean and transform large-scale environmental data.

• Data Processing:Utilize Python and Apache Spark (PySpark) to process structured and unstructured datasets efficiently.

• Cloud Infrastructure:Help manage and expand our cloud data infrastructure using core AWS services (e.g. S3 Glue EMR Redshift Lambda).

• Data Quality & Governance:Implement automated testing validation and monitoring to ensure data accuracy reliability and security.

• Cross-Functional Collaboration:Partner with Data Scientists Business Analysts and Sustainability Specialists to deliver clean structured data for reporting and machine learning applications.

• Education:Bachelors degree inComputer Science(or a closely related core computing field such as Computer Engineering or Software Engineering) completed within the last 012 months.

• Core Programming:Strong foundation inPythonand fundamental software engineering principles (OOP data structures algorithms version control with Git).

• Distributed Computing:Academic or hands-on project experience usingApache Spark / PySparkto process large datasets.

• Cloud Fundamentals:Working knowledge or project experience withAWScore services (S3 EC2 IAM Lambda or managed data services).

• Databases & SQL:Solid grasp of relational databases SQL query writing data modeling concepts and basic schema design.

• Coursework internship or personal project focus on environmental data sustainability clean energy or IoT telemetry data.

• Exposure to workflow orchestration tools (e.g. Apache Airflow Dagster).

• Familiarity with containerization technologies (Docker Kubernetes).

• Knowledge of CI/CD practices for data infrastructure.

• Mission-Driven Impact:Direct involvement in projects that combat climate change and advance sustainable practices.

• Mentorship & Growth:A collaborative environment with dedicated mentorship from experienced senior data engineers.