{"id":1407411,"url":"https://alion.io/job/workana-senior-data-engineer","title":"Senior Data Engineer","company":{"id":2402,"name":"Workana","domain":"workana.com","url":"https://alion.io/company/workana","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":true,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":94,"open_postings":25,"ghost_share":0,"stale_share":0.04,"repost_share":0,"time_to_fill_p50_days":65,"computed_at":"2026-09-30T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"contractor","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Indianapolis, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":105000,"max_usd":206000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":769},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Airflow","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"BigQuery","optional":true},{"name":"Dagster","optional":true},{"name":"Databricks","optional":true},{"name":"GCP","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Prefect","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-28T18:24:37Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-01T02:09:34Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Workana is the largest remote work platform for talent in Latin America. Our division focuses on matching exceptional professionals with leading and innovative companies around the globe.\nAbout the client\nOur client is a fast-growing life sciences and biotechnology company operating at the intersection of computational research, data platform engineering, and advanced analytics. They develop production-grade data systems designed to support complex scientific research, clinical trial analytics, and machine learning workloads. We are looking for an experienced Senior Data Engineer to join their engineering team and take technical ownership of their data platform architecture.\nRole overview\nAs a Senior Data Engineer, you will own the end-to-end architecture, design, and implementation of scalable data platforms and processing pipelines. You will work directly with scientists, researchers, and machine learning engineers to translate complex domain requirements into technical solutions that power downstream analytics and production ML systems.\nWe are looking for a senior technical owner who can operate autonomously, drive best practices across distributed processing and data modeling, and collaborate effectively with international stakeholders in an English-speaking environment.\nSelection process\nThe process usually consists of 4 stages and takes on average 4 weeks to be completed, depending on eventual additional technical rounds or take-home tests.\nInitial interview with Workana's recruiting team; \nTechnical interview with Workana's technical team;\n Client Cultural fit interview;\n Final interview with C-level.\nAs Workana has multiple clients, if you pass the first round with Workana's recruiting team, you may also be considered for other relevant opportunities if the initial opportunity does not move forward.\nResponsibilities\nArchitect, build, and maintain production-grade data platforms and scalable ELT/ETL pipelines. \nIngest, transform, and model complex structured and unstructured scientific and clinical datasets. \nDefine data architecture patterns, engineering standards, and best practices across the team. \nCollaborate with scientists, ML engineers, and business stakeholders to turn domain needs into data solutions. \nDesign data infrastructure that supports machine learning training, inference, and analytics workloads. \nEnsure data quality, lineage, reproducibility, security, and system observability. \nOptimize pipeline performance, architectural bottlenecks, and infrastructure cost efficiency. \nParticipate in technical design discussions, code reviews, and architectural decision-making. \nRequirements\n5+ years of experience in data engineering, data platform engineering, or data-intensive software engineering. \nAdvanced professional experience with Python and SQL. \nStrong experience designing and owning production-grade distributed data architectures. \nSolid understanding of ETL/ELT patterns, data modeling, orchestration, and data observability. \nStrong software engineering fundamentals, including testing, CI/CD, version control, and system design. \nExperience handling large, complex, and heterogeneous datasets in cloud environments. \nAbility to work independently, manage technical ambiguity, and take ownership of deliverables. \nBonus points\nExperience with cloud platforms (AWS, GCP, or Azure) and technologies like Spark, Databricks, Snowflake, or BigQuery. \nExperience with workflow orchestrators such as Apache Airflow, Dagster, or Prefect. \nDomain experience in life sciences, clinical trials, genomics, or drug discovery datasets. \nExposure to data governance, lineage, or operating within regulated data environments. \nBenefits\nCompetitive salary with travel expenses covered when travel is required.\nFlexible work arrangements (Hybrid in Indianapolis, IN, or Fully Remote within the U.S. East Coast with occasional travel).\nDynamic career growth with innovative, high-impact enterprise projects. \nLong-term independent contractor agreement.","description_format":"text","description_chars":4010,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Biotechnology","Science & Engineering"],"lifecycle":[{"event":"open","at":"2026-09-28T18:24:37Z"}],"liveness":{"score":54,"band":"ok","label":"Likely open","p_open":1,"p_active":0.542,"p_room":1,"age_days":1,"expected_fill_days":65,"reasons":["conf:1","agency","velocity","win:early","comp:brand"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/workana-senior-data-engineer","json_url":"https://alion.io/job/workana-senior-data-engineer.json","meta":{"generated_at":"2026-10-01T02:56:32Z","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":"crawler","counted_by":"address","units_charged":1,"used_today":2320,"day_limit":5000,"remaining_today":2680,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}