{"id":2964747,"url":"https://alion.io/job/inspire-brands-data-engineer","title":"Data Engineer","company":{"id":6273,"name":"Inspire Brands","domain":"inspirebrands.com","url":"https://alion.io/company/inspirebrands","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":5,"ghost_share":0,"stale_share":0.6,"repost_share":0,"time_to_fill_p50_days":43,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":75000,"max_usd":156000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":356},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false}],"status":"live","first_seen_at":"2026-10-20T23:48:18Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-22T04:08:44Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"As a Data Engineer will support the Enterprise Data Organization in building and managing the data pipeline (data ingest, data transformation, data distribution, quality rules, data storage etc.) for Azure cloud-based data platforms. You will possess strong technical, analytical, programming, and critical thinking skills.\nRESPONSIBILITIES\nDesign, develop, and maintain reliable automated data solutions based on the identification, collection, and evaluation of business requirements. This includes, but is not limited to, data models, database objects, stored procedures, and views. \nDevelop new and enhance existing data processing components (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) \nSupport and troubleshoot the data environment (including periodically on call) \nDocument technical artifacts for developed solutions \nInterface with multiple constituent groups and build sustainable relationships \nExperience with Agile practices and methodologies \nEDUCATION AND EXPERIENCE QUALIFICATIONS\n4-year degree in information systems, finance/mathematics, computer science, or similar field \n2 to 3 years of experience in data engineering \nREQUIRED KNOWLEDGE, SKILLS, OR ABILITIES\nAdvanced SQL queries, scripts, stored procedures, materialized views \nFocus on ELT to load data into database and perform transformations in database \nAbility to use analytical SQL functions \nCloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift); data modeling, analysis, programming \nExperience with DevOps models utilizing a CI/CD tool \nWork in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob) \nTalend, Apache Airflow, Azure Data Factory, and BI tools like Tableau preferred and should be able to analyze data models \nGood interpersonal skills; comfort and competence in dealing with different teams within the organization. \nVersatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions. Ability to master new skills \nProactive approach to problem solving with effective influencing skills and be able to work independently on complex projects \nInspire is a multi-brand restaurant company whose portfolio includes more than 33,300 Arby’s, Baskin-Robbins, Buffalo Wild Wings, Dunkin’, Jimmy John’s, and SONIC restaurants worldwide. We’re made up of some of the world’s most iconic restaurant brands, but we’re much more than just a restaurant company. We’re a team of hundreds of thousands who individually and collectively are changing the way people eat, drink, and gather around the table. We know that food is much more than a staple-it’s an experience. 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