{"id":3135445,"url":"https://alion.io/job/hirevouch-junior-data-engineer","title":"Junior Data Engineer","company":{"id":4415880,"name":"hireVouch","domain":"hirevouch.com","url":"https://alion.io/company/hirevouch","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"CATS","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Vaughan, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":45000,"max_usd":93000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Airflow","optional":true},{"name":"CI/CD","optional":true},{"name":"Dagster","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-10-23T05:34:23Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-27T15:26:21Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About Us\nWe 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-thinking Junior Data Engineer to join our data team and help build the data pipelines powering our eco-focused solutions.\nPosition Overview\nAs 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 datasets-such as energy metrics, carbon emissions data, and resource usage-into 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.\nKey Responsibilities\nPipeline Development: Design, build, and maintain automated batch and real-time ETL/ELT pipelines to ingest, clean, and transform large-scale environmental data.\n\nData Processing: Utilize Python and Apache Spark (PySpark) to process structured and unstructured datasets efficiently.\n\nCloud Infrastructure: Help manage and expand our cloud data infrastructure using core AWS services (e.g., S3, Glue, EMR, Redshift, Lambda).\n\nData Quality & Governance: Implement automated testing, validation, and monitoring to ensure data accuracy, reliability, and security.\n\nCross-Functional Collaboration: Partner with Data Scientists, Business Analysts, and Sustainability Specialists to deliver clean, structured data for reporting and machine learning applications.\n\nRequired Qualifications\nEducation: Bachelor’s degree in Computer Science (or a closely related core computing field, such as Computer Engineering or Software Engineering) completed within the last 0-12 months.\n\nCore Programming: Strong foundation in Python and fundamental software engineering principles (OOP, data structures, algorithms, version control with Git).\n\nDistributed Computing: Academic or hands-on project experience using Apache Spark / PySpark to process large datasets.\n\nCloud Fundamentals: Working knowledge or project experience with AWS core services (S3, EC2, IAM, Lambda, or managed data services).\n\nDatabases & SQL: Solid grasp of relational databases, SQL query writing, data modeling concepts, and basic schema design.\n\nNice-to-Have / Preferred Qualifications\nCoursework, internship, or personal project focus on environmental data, sustainability, clean energy, or IoT telemetry data.\n\nExposure to workflow orchestration tools (e.g., Apache Airflow, Dagster).\n\nFamiliarity with containerization technologies (Docker, Kubernetes).\n\nKnowledge of CI/CD practices for data infrastructure.\n\nWhat We Offer\nMission-Driven Impact: Direct involvement in projects that combat climate change and advance sustainable practices.\n\nMentorship & Growth: A collaborative environment with dedicated mentorship from experienced senior data engineers.","description_format":"text","description_chars":3019,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-23T05:34:23Z"}],"visa":[],"liveness":{"score":54,"band":"ok","label":"Likely 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