{"id":1264781,"url":"https://alion.io/job/bridgenext-senior-data-engineer","title":"Senior Data Engineer","company":{"id":2442558,"name":"Bridgenext","domain":"bridgenext.com","url":"https://alion.io/company/bridgenext","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["AR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":93000,"max_usd":209000,"period":"year","method":"global_role_seniority_cell","sample_n":1536},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure Data Factory","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Google BigQuery","optional":false},{"name":"IAM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"GitHub Actions","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-09-25T22:01:31Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-29T16:34:21Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Company Overview\nAt Bridgenext, we engineer Growth Operating Systems. Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that function, but no system that wins. We help growth-hungry companies close that gap by turning fragmented platforms, siloed teams, and disconnected data into one integrated Growth OS. More than a technology company or marketing agency, we're a global digital consultancy with experts in engineering, data, AI, creative and more.\nOur teams are made up of experts who believe in engineering impact, starting with putting people at the center of everything we do. Every team member directly shapes our work, culture, and values. Nothing matters more to us than a kind, respectful, fulfilling environment that supports everyone. Our flexible, inclusive culture gives you the autonomy, resources, and opportunities to thrive.\nPosition Description\nWe are seeking a Senior Data Engineer to accelerate our healthcare client's Business Data Architecture modernization. This role is hands-on and delivery-focused: you will design and build scalable ingestion and transformation pipelines across a centralized Medallion architecture (Bronze/Silver/Gold) on Google Cloud Platform (GCP) using BigQuery, dbt, and Fivetran, along with custom API-based connectors where needed.\nYou will work closely with internal platform leadership and domain stakeholders to create a governed “data factory” that reduces metric drift, improves auditability, and accelerates time-to-insight through reliable, monitored pipelines and code-based metric definitions.\nWorkplace: This is a remote role open to candidates based in Argentina only\nWhat You’ll Do:\nPipeline Engineering & DeliveryDesign, implement, and maintain robust ELT pipelines into BigQuery using Fivetran and custom API-based connectors\nBuild and operationalize bronze, silver, and gold data layers supporting enterprise analytics\nDevelop and manage dbt models, transformations, and orchestration workflows\nImplement orchestration using Cloud Composer (Managed Airflow) for scheduling, dependency management, and pipeline coordination\n\nData Quality, Validation, and ObservabilityImplement automated data validation, reconciliation, and testing frameworks\nBuild logging, monitoring, error handling, and alerting frameworks for data pipelines\nOptimize BigQuery performance using partitioning, clustering, and cost tuning\n\nSecurity, Governance, and Access ControlsDefine and implement IAM roles, data access policies, and AD group structures\nApply data classification, governance, and lineage standards\nEnsure traceability and auditability through version control and structured deployment practices\n\nPlatform Engineering & Delivery EnablementContribute to CI/CD workflows using GitHub and modern deployment practices\nSupport Infrastructure-as-Code (Terraform) patterns including environment set up and lifecycle management\nDevelop and maintain detailed technical documentation, lineage, and pipeline designs\n\nMust Have Skills:\n5+ years of data engineering experience with enterprise-scale pipeline delivery\nStrong hands-on experience with GCP and BigQuery\nProven expertise with dbt (required)\nExperience with Fivetran and API-based ingestion frameworks\nStrong Python skills including API integrations\nExperience with data quality rules, validation frameworks, and testing\nProficiency with GitHub and CI/CD workflows\nStrong data modeling and ELT design experience\nExperience with data lineage, governance, and metadata\nFamiliarity with healthcare data and compliance environments\nPreferred Skills:\nExperience with Terraform (IaC)\nFamiliarity with Harness CI/CD and GitHub Actions\nExperience with Snowflake and Azure Data Factory (ADF)\nKnowledge of data mesh and domain-based data stewardship\nExperience with data classification and access governance frameworks\nProfessional Skills:\nSolid written, verbal, and presentation communication skills\nStrong team and individual player\nMaintains composure during all types of situations and is collaborative by nature\nHigh standards of professionalism, consistently producing high quality results\nSelf-sufficient, independent requiring very little supervision or intervention\nDemonstrate flexibility and openness to bring creative solutions to address issues \nBridgenext is an Equal Opportunity Employer","description_format":"text","description_chars":4372,"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":"Argentina","iso":"AR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-09-25T22:01:31Z"}],"liveness":{"score":97,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.968,"p_room":1,"age_days":4,"expected_fill_days":20,"reasons":["conf:13","urgency","velocity","win:early"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/bridgenext-senior-data-engineer","json_url":"https://alion.io/job/bridgenext-senior-data-engineer.json","meta":{"generated_at":"2026-09-30T22:24:50Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"search","counted_by":"address","units_charged":0,"used_today":0,"day_limit":null,"remaining_today":null,"minute_limit":null,"resets_at":"2026-10-01T00:00:00Z"}}}