{"id":135725,"url":"https://alion.io/job/huzzle-data-engineer","title":"Data Engineer","company":{"id":720230,"name":"Huzzle","domain":"huzzle.com","url":"https://alion.io/company/huzzle-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":95,"open_postings":550,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":125,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["AR","MX","PK","PH","ZA"],"hiring_countries_total":5,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":65000,"period":"year","method":"role_country_seniority_unknown","sample_n":24},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-06-23T00:00:00Z","employer_posted_date":"2026-06-23","last_verified_at":"2026-10-17T22:33:15Z","board_verified":true,"closed_at":null,"days_open":117,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":116},"description":"About Huzzle\nAt Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI.\nUnlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.\nJob Type: Full-time\nLocation: Remote\nJob Summary\nAs a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure. You will work closely with data analysts, data scientists, software engineers, and business stakeholders to ensure reliable, accessible, and high-quality data across the organization.\nThis is an excellent opportunity for professionals who enjoy solving complex data challenges and building systems that support business intelligence, analytics, and machine learning initiatives.\nKey Responsibilities\nDesign, develop, and maintain scalable ETL and ELT pipelines. \nBuild and optimize data architectures, databases, and data warehouses. \nIntegrate data from multiple sources, APIs, and third-party platforms. \nEnsure data quality, consistency, reliability, and security. \nMonitor and troubleshoot data pipelines and workflows. \nCollaborate with analytics, engineering, and business teams to understand data requirements. \nImplement data governance and best practices for data management. \nOptimize data storage, processing performance, and query efficiency. \nSupport reporting, business intelligence, and analytics initiatives. \nDocument data models, workflows, and technical processes.\nRequirements\n3+ years of experience in data engineering, data warehousing, or related roles. \nStrong proficiency in SQL and database management. \nExperience with Python, Java, Scala, or similar programming languages. \nHands-on experience with ETL/ELT tools and data pipeline development. \nKnowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform. \nExperience with modern data warehouses such as Snowflake, Redshift, BigQuery, or Databricks. \nFamiliarity with orchestration tools such as Airflow or Prefect. \nUnderstanding of data modeling, data governance, and data quality principles. \nExperience working with large datasets and distributed systems is preferred. \nStrong analytical, problem-solving, and communication skills. \nAbility to work independently in a remote, collaborative environment.\nBenefits\nCompetitive salary: Based on experience, technical expertise, 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