{"id":735955,"url":"https://alion.io/job/brevian-data-engineer","title":"Data Engineer","company":{"id":669575,"name":"Brevian","domain":"brevian.ai","url":"https://alion.io/company/brevian","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"B","score":75,"open_postings":8,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":109000,"max_usd":208000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":530},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"OpenSearch","optional":false},{"name":"Terraform","optional":false},{"name":"Databricks","optional":true}],"status":"live","first_seen_at":"2024-07-18T17:06:03Z","employer_posted_date":"2024-07-18","last_verified_at":"2026-10-29T19:12:25Z","board_verified":true,"closed_at":null,"days_open":833,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":832},"description":"BREV/AN is at the forefront of revolutionizing how businesses leverage artificial intelligence. Our no-code platform empowers every business team to harness the power of production-grade AI agents, without the need for specialized skills. With BREV/AN, users can effortlessly create, customize, and train AI agents to automate tasks, analyze data, and enhance team productivity. Our commitment to security ensures each agent is equipped with advanced features to protect against prompt injections, redact sensitive information, and refine responses for maximum safety and compliance.\n Job title\nData Engineer\nPosition overview\nWe are looking for an experienced Data Engineer to join our Engineering team. The ideal candidate will have a strong background in developing scalable, high-performance data systems, with a particular focus on enterprise data systems. With our company's growing reliance on cloud technologies, especially AWS, and big data systems, your role will be pivotal in shaping the backbone of our tech infrastructure.\nKey responsibilities\nDesign, develop, and maintain scalable, high-availability Data systems.\nWork closely with the development team to integrate cloud services and solutions, specifically within the AWS ecosystem.\nImplement and manage big data systems, including but not limited to Kafka, EMR, and data pipelines, to support data-driven decision-making.\nEnsure the security and integrity of application data in compliance with industry standards.\n\nCollaborate with cross-functional teams to identify and resolve performance bottlenecks.\n\nProvide technical mentorship to junior team members.\n\nQualifications\nBasic Qualifications\nBachelor’s degree in Computer Science, Engineering, or a related field.\n\n4+ years of experience in working with Data systems and Data pipeline , preferably for enterprise-level applications.\n\nSolid experience with big data systems, including Kafka, Apache Airflow, and building data pipelines.\n\nFamiliarity with data modeling, ETL processes, and data warehousing.\n\nUnderstanding in cloud technologies like AWS (Amazon Web Services) related technologies such as Terraform, ECS, S3, RDS, and Opensearch.\n\nExperience with software development lifecycle (SDLC) practices, including coding standards, code reviews, source control management, build processes, and testing.\n\nPreferred Qualifications\nKnowledge of Large Language Models (LLMs) is a significant plus.\n\nStrong analytical skills and the ability to tackle issues with innovative solutions.\n\nSecurity background and experience developing secure applications for enterprises is a plus.\n\nAbility to work in a fast-paced and dynamic environment and have a growth mindset.\n\nWhy BREVIAN?\nWe are a very well funded seed stage startup. You get to experience the 0-1 of building a startup, working with talented engineers from Databricks, LinkedIn, MoveWorks .\nWe offer generous compensation, equity, benefits, perks and flexible time off.\nThis is an exciting opportunity to ensure generative AI delivers tremendous value safely and securely. 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