{"id":3788862,"url":"https://alion.io/job/stuller-data-engineer","title":"Data Engineer","company":{"id":2699462,"name":"Stuller","domain":"stuller.com","url":"https://alion.io/company/stuller","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lafayette, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"AWS","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-11-04T21:05:53Z","employer_posted_date":null,"last_verified_at":"2026-11-04T21:05:53Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Description\n\nWith constant innovation, cutting-edge technology, and fast-paced development, we're looking for talented professionals to join our Information Technology team to help us continue delivering an unparalleled customer experience. The Data Engineering department oversees the standardization, management, and adoption of services that support key technology initiatives, while also collaborating on cloud architecture, automation, data pipeline development, and data modeling to support business intelligence and data science goals. This team plays a critical role in leveraging data assets to drive actionable insights and innovation across the organization. \n\nThe Data Engineer is responsible for building and maintaining data pipelines that move and transform data from Stuller's systems into its cloud data warehouse. Working with senior team members, this role follows established data modeling patterns to support business intelligence, analytics, and data science. This role provides the opportunity to develop end-to-end data solutions using a modern data engineering technology stack. The Data Engineer will write and test dbt models, gain exposure to the semantic layer and analytics engineering practices, and develop reliable solutions through regular design and code reviews.\nKey Responsibilities\nBuild, test, and maintain ETL/ELT pipelines that move data from ingestion to consumption using established tools and patterns, including Airflow.\nWrite and test dbt models under the guidance of senior team members.\nWrite performant SQL while following established schema conventions in the Snowflake data warehouse.\nTransform and integrate data from multiple sources into models that support reporting and analytics.\nSupport semantic layer development and analytics engineering practices under senior team guidance.\nMonitor data workflows, troubleshoot issues, and help identify and resolve data quality concerns.\nFollow established data security, governance, testing, and deployment practices.\nDevelop awareness of warehouse compute costs and avoid wasteful query patterns.\nCollaborate with analytics and data science teams to understand and support their data needs.\nComplete well-defined tasks reliably, participate in regular design and code reviews, incorporate feedback, and escalate blockers appropriately.\nMinimum Qualifications\nBachelor's degree in Computer Science or a related technical field, or equivalent relevant experience.\nFoundational understanding of SQL and relational database concepts.\nExposure to ETL/ELT concepts and pipeline tools, including Airflow.\nBasic familiarity with dbt or a similar transformation framework, or a strong aptitude to learn.\nUnderstanding of core data warehouse concepts, including schemas, roles, and warehouses.\nAwareness of the cost implications of compute-intensive queries.\nStrong problem-solving skills and attention to quality and detail.\nStrong communication skills within a team setting.\nAbility to manage assigned work, follow established guidelines, incorporate feedback through regular reviews, and escalate blockers appropriately.\nDemonstrated curiosity, reliability, integrity, and commitment to continuous learning.\nPreferred Qualifications\nHands-on experience with Snowflake, AWS, or Python.\nExperience with data modeling in analytics environments.\nFamiliarity with semantic layers or analytics engineering practices.\nExperience with Agile development practices.","description_format":"text","description_chars":3446,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Consumer Goods","Jewelry","Precious Stones"],"lifecycle":[{"event":"open","at":"2026-11-05T04:55:51Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B 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