{"id":3305435,"url":"https://alion.io/job/gofasti-1184-senior-data-engineer","title":"1184 - Senior Data Engineer","company":{"id":6368,"name":"GoFasti","domain":"gofasti.com","url":"https://alion.io/company/gofasti","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":93,"open_postings":4,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":8,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["AR","BR","CO","MX","AI","AG","AW","BS","BB","BZ","BM","BO","VG","BQ","KY","CL","CR","CW","DM","DO","EC","SV","FK","GF","GD","GP","GT","GY","HT","HN","JM","MQ","MS","NI","PA","PY","PE","PR","KN","LC"],"hiring_countries_total":48,"salary":{"min":3000,"max":4500,"currency":"USD","period":"month","gross":null,"usd_annual":54000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-27T00:14:15Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-29T06:06:29Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"We Make Remote Work Remarkable\nTopTalent from LatAm\nHello! We are GoFasti, a Talent-as-a-Service. GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe.\nWe need an English-fluentSenior Data Engineer, based in Latin America, available to work remotely.\nWe are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who's constantly learning and improving their skills.\nAre you the one we are looking for?\nResponsibilities:\nDesign, build, and maintain data pipelines and analytics solutions in Databricks.\n\nWrite and optimize SQL (including Spark SQL) and Python code for data processing and analysis.\n\nWork with developers and IT teams to deliver data analytics projects.\n\nApply DevOps practices and CI/CD methods to data workflows.\n\nBuild and support Power BI reports and dashboards.\n\nContribute to data modeling, data management and data governance standards.\n\nRoll up your sleeves on day-to-day technical work, not only design and oversight.\n\nRequirements:\nMinimum 5 years of experience as a Data Analyst, Data Engineer, or similar role.\n\nBackground in software development and IT projects related to data analytics.\n\nPractical programming knowledge in SQL and Python, and experience working with developers.\n\nGood understanding of DevOps tools and CI/CD methods.\n\nExtensive hands-on experience with Databricks.\n\nAdvanced user-level experience with cloud services and platforms.\n\nExperience with visualization tools such as Power BI.\n\nSolid understanding of data modeling, data management and data governance.\n\nFluent, business-level English.\n\nIt's a plus:\nExperience with Spark SQL.\n\nExposure to SAP S/4HANA or other ERP data.\n\nCompensation:\nThe salary range offered for this position varies from (USD) $3,000 - $4,500 per month, depending on seniority and skillset.\n\nThis position is for a full time contract, through a payroll platform.\n\nThe talent will work remotely allocated at our client.\n\nHere are the steps for this process:\nApplication review/approval > Screening interview with GoFasti's team > We build and send your profile to our client > Profile review/approval by client > Interview with the client > Hiring and onboarding.\nOnce you apply for the job, our team will review your resume. 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