{"id":3630145,"url":"https://alion.io/job/maxana-data-engineer","title":"Data Engineer","company":{"id":4495936,"name":"Maxana","domain":"maxanapay.com","url":"https://alion.io/company/maxana","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"D","score":52,"open_postings":10,"ghost_share":0.8,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":5500,"max":6800,"currency":"USD","period":"month","gross":null,"usd_annual":81600},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"HIPAA","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"CI/CD","optional":true}],"status":"live","first_seen_at":"2026-07-29T00:00:00Z","employer_posted_date":"2026-07-29","last_verified_at":"2026-11-04T15:24:23Z","board_verified":true,"closed_at":null,"days_open":98,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":98},"description":"Maxana is hiring a Data Engineer on behalf of a fast-growing digital health platform in the U.S. You'll join their data team as a full-time contractor, building the pipelines and infrastructure that power analytics, product features, and clinical/operational decision-making. This is a fully remote role open to candidates based in Latin America, working U.S.-overlapping hours.\nWhat you'll do:\n- Design, build, and maintain scalable data pipelines (batch and streaming)\n- Develop and optimize data models in a modern cloud data warehouse\n- Build robust ELT/ETL workflows and manage orchestration (e.g., Airflow, Dagster, or similar)\n- Partner with analytics, product, and engineering teams to deliver clean, trusted datasets\n- Implement data quality checks, monitoring, and alerting across pipelines\n- Handle sensitive data responsibly and help uphold privacy and compliance standards (e.g., HIPAA-aligned practices)\n- Contribute to the evolution of the platform's overall data architecture\nRequirements\n- 4+ years of professional data engineering experience\n- Expert-level SQL and strong Python skills\n- Hands-on experience with a modern cloud data stack (e.g., Snowflake, BigQuery, or Redshift; dbt; Airflow or similar orchestration)\n- Experience with cloud platforms (AWS, GCP, or Azure)\n- A track record of building reliable, well-documented pipelines at scale\n- Strong written and spoken English (daily collaboration with a U.S.-based team)\n- Based in Latin America with reliable ability to work U.S.-overlapping hours\nNice to have:\n- Experience in healthcare, health tech, or other regulated data environments\n- Familiarity with streaming technologies (Kafka, Kinesis, Pub/Sub)\n- Experience with infrastructure-as-code and CI/CD for data workflows\n- Exposure to ML pipelines or feature engineering\nBenefits\n- $5,500 - 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