{"id":1159276,"url":"https://alion.io/job/ujet-data-engineer","title":"Data Engineer","company":{"id":171964,"name":"UJET","domain":"ujet.cx","url":"https://alion.io/company/ujet","size_band":"1-10","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":140000,"max":160000,"currency":"USD","period":"year","gross":null,"usd_annual":160000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Argo Workflows","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google GKE","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Looker","optional":false},{"name":"LookML","optional":false},{"name":"MySQL","optional":false},{"name":"Python","optional":false},{"name":"Ruby on Rails","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Edge AI","optional":true},{"name":"Google Cloud Run","optional":true},{"name":"Ruby","optional":true}],"status":"live","first_seen_at":"2026-09-23T22:43:27Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T04:20:09Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Us\nUJET leads the way in AI-powered contact center innovation, delivering a future-proof, cloud platform that redefines the customer experience with cutting-edge AI, true multimodality, and a mobile-first approach. We infuse AI across every aspect of your customer journey and contact center operations, to drive automation and efficiency. UJET's AI solutions empower agents, optimize customer journeys, and transform contact center operations for elevated experiences and actionable insights. Built on a cloud-native architecture with a unique CRM-first approach, UJET ensures unmatched security, scalability, and prioritized data insights (without storing PII). Designed for effortless use, UJET partners with businesses to deliver exceptional interactions, smarter decision-making, and accelerated growth in the AI-driven world.\nLearn more at www.ujet.cx.\nOpportunity\nUJET is looking for a Data Engineer to join our growing Data Platform team. You'll own our data systems end to end: CDC replication out of production MySQL, the pipelines and jobs that shape data in BigQuery, the Terraform-managed infrastructure underneath, and the Looker models on top. dbt is central to how we work. You'll build models yourself and set the patterns that let analysts, product partners, and engineers ship their own safely. You should be comfortable debugging a replication issue in the morning and tuning a Looker explore in the afternoon.\nThis data powers reporting for thousands of customer tenants, including embedded Looker analytics for enterprise customers, and the internal metrics our Operations and Finance teams run the business on. Over the coming year, our focus is data trust and reliability, platform modernization, and treating data as a product. You'll help shape all three.\nOur Stack\n Sources and ingestion: Cloud SQL (MySQL) and BigQuery via GCP Datastream (CDC)\n Warehouse and transformation: BigQuery, dbt (dbt Labs)\nOrchestration: GKE-based, using Kubernetes CronJobs and Argo Workflows\nSemantic layer and reporting: Looker / LookML \nLanguages: Python and SQL; core application infra is Ruby on Rails and Go\nWhat You'll Do\nData platform enablement\nBuild and evolve the data platform foundations that make it easy and safe for others to ship dbt work (project structure, environments, permissions, patterns, documentation)\nEstablish and maintain standards and guardrails for dbt development (testing strategy, source freshness, documentation, code review practices)\nImprove the developer experience for data workflows, including CI/CD, automated checks, and repeatable deployment patterns\nManage data infrastructure as code with Terraform, including pipelines, IAM, and environments\nIngestion and CDC\nImprove and troubleshoot CDC replication from MySQL to BigQuery with Datastream\nBuild tooling for backfills, drift detection, and reconciliation between source databases and the warehouse\nContribute to infrastructure decisions on data ingestion and platform evolution, including latency, throughput, and alternative CDC approaches\nTrusted metrics and analytics\nPartner with Analytics and Finance to define and deliver trusted metrics and dashboards in Looker\nBuild and maintain analytics-ready datasets that support self-serve reporting and experimentation\nSupport customer-facing, multi-tenant reporting with a focus on correctness, tenant isolation, and query performance\nData modeling and transformation (dbt + BigQuery)\nDevelop and optimize BigQuery data models for analytics and product use cases\nImplement ELT best practices in dbt, including testing, documentation, and versioning\nPipelines, reliability, and cost\nDesign, build, and maintain scalable data pipelines using Python, dbt, and containerized jobs on GKE\nEnsure data quality, reliability, and observability for critical datasets and reporting\nOptimize performance and cost across BigQuery and data pipelines\nCross-functional delivery\nIntegrate data workflows with backend services and APIs\nWork with Product and Engineering to translate business needs into data solutions\nRequirements\n5+ years of software engineering experience, with deep data platform experience\nStrong programming skills in Python\nStrong SQL skills and experience with analytical data modeling\nHands-on experience with BigQuery (or a similar cloud data warehouse)\nProduction experience with dbt (dbt Labs), including building models yourself\nExperience building or improving the infrastructure around data workflows (reliability, observability, CI/CD, permissions, environments, deployment patterns)\nExperience with infrastructure as code, preferably Terraform\nExperience with a major cloud platform (GCP preferred)\nStrong software engineering fundamentals (testing, version control, code reviews)\nPreferred Qualifications\nExperience with GCP services (Datastream, Cloud Storage, Cloud Run, and Pub/Sub)\nChange data capture experience (GCP Datastream or MySQL binlog/GTID replication)\nExperience with Kubernetes-based orchestration (Argo Workflows or similar)\nExperience with Looker (LookML, semantic modeling, dashboards)\nFamiliarity with Ruby on Rails or Go, which power the application-layer services our data platform depends on\nExperience collaborating with Product to gather requirements and translate business needs into data solutions\nCompensation\nAnnual US Hiring Range: $140,000 - $160,000*\n*A candidate's actual placement within this range will depend on geographic location, work experience, education, and/or skill level. \n#LI-Remote\nWhy UJET?\nImpactful Work: Be at the forefront of innovation, directly shaping the future of customer experience. \nDynamic Culture: Join a collaborative, inclusive team that values big ideas, creative solutions, and powerful relationships.\n Comprehensive Benefits: Medical, dental, vision, 401(k) plan, wellness benefits, and more.\nUJET is an Equal Opportunity Employer\nUJET provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.\nCompliance Responsibilities\nSecurity, data protection and compliance (SDPC) are paramount to the success of our partnerships. All roles at UJET require compliance with legal and regulatory requirements and acceptance and adherence to all policies and standards within UJET. Personnel acknowledges they are personally responsible for reporting any suspected violations or abuse and are required to complete SDPC training and fulfill role-specific SDPC responsibilities.\nAI Use in Our Hiring Process\nUJET uses artificial intelligence (AI) technology to assist with the initial review and filtering of job applications against the qualifications listed in this posting. AI does not make hiring decisions, does not conduct interviews, and has no authority to reject or advance a candidate on its own. All application review decisions, candidate screening, and interviews are conducted by members of our human recruiting and hiring teams.\nReasonable Accommodation\nIf you would like to request a reasonable accommodation as part of the application process, including an alternative to AI-assisted screening, please contact .\nWork Authorization & Sponsorship\nApplicants must be legally authorized to work in the country in which this position is located, without the need for current or future employer-sponsored visa sponsorship. UJET does not sponsor employment visas for this role.","description_format":"text","description_chars":7659,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Call Center Services","Contact Center Software"],"lifecycle":[{"event":"open","at":"2026-09-23T22:59:23Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":23,"reasons":["conf:0","win:early"],"computed_at":"2026-09-24T04:36:17Z"},"pay":{"stated_usd_annual":160000,"is_top_pay":false},"html_url":"https://alion.io/job/ujet-data-engineer","json_url":"https://alion.io/job/ujet-data-engineer.json","meta":{"generated_at":"2026-09-24T04:36:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}