{"id":467330,"url":"https://alion.io/job/tetrascience-senior-scientific-data-engineer","title":"Senior Scientific Data Engineer","company":{"id":179669,"name":"TetraScience","domain":"tetrascience.com","url":"https://alion.io/company/tetrascience","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":85,"open_postings":5,"ghost_share":0,"stale_share":0.6,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cambridge, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Databricks","optional":false},{"name":"Jupyter Notebook","optional":false},{"name":"LIMS","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false}],"status":"live","first_seen_at":"2026-09-17T00:00:00Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-25T02:51:54Z","board_verified":true,"closed_at":null,"days_open":38,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":38},"description":"About TetraScience\nTetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft.\nIn connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you.\nOur core values are designed to guide our behaviors, actions, and decisions such that we operate as one. We are looking to add high-performance team members that authentically and unconditionally embrace our values:\nTransparency and Context - We trust our people will make the right decisions and overcome any challenges when given data and context.\nTrust and Collaboration - We believe there can only be trust when there is transparency. We are committed to always communicating openly and honestly.\nFearlessness and Resilience - We proactively run toward challenges of all types. We embrace uncertainty and we take calculated risks.\nAlignment with Customers - We are completely committed to ensuring our customers and partners achieve their missions and treat them with respect and humility.\nCommitment to Craft - We are passionate missionaries. We sweat the details, as the small things enable the big things.\nEquality of Opportunity - We seek out the best of the best regardless of gender, ethnicity, race, or age; We seek out those who embody our common values but bring unique and invaluable perspectives, talents, and advantages.\nWhat You Will Do\nYou will be leading the Scientific Data Engineering (SDE) Team and helping build Tetra Data and productizable solutions, which is the foundation of the Data Engineering layer. We are looking for a data engineer who is experienced, hands-on, and can also provide mentorship to junior team members. As a Senior Scientific Data Engineer, you should be comfortable leading internal design sessions and architecting solutions. You will work directly with Product Managers and Solution Architects to gather business and data design objectives, resulting in production-based solutions. As a Senior Scientific Data Engineer, you will be a team-focused leader, have excellent data engineering skills, supervise and collaborate on project executions, and have a high commitment to customer success by delivering mission-critical implementations.\nOur success is defined by collaboration. You will have tremendous support to achieve your objectives, from a variety of teams, both internal and external.\nWork with Product Managers and Solution Architects to understand business requirements, gather insight into potential positive outcomes, recommend potential outcomes, and build a solution based on consensus.\nTake ownership of building data models, prototypes, and integration solutions that drive customer success.\nUse AI agents to build comprehensive data schemas and parsers for pre-clinical data (main data sources: R&D lab instruments, manufacturing, CRO, CDMO, ELN, LIMS) with various data formats: .xlsx, .pdf, .txt, .raw, .fid, many other vendor binaries\nExtract reusable schema components and parsing functions, and productize them into Python libraries\nBuild high-quality data pipelines with full unit test and integration test coverage to produce high-fidelity data\nBuild data applications, reports, and dashboards using React, Streamlit, Jupyter notebook, etc.\nWork closely with product managers, project managers, business analysts, data architects, and ML engineers to deliver best-in-class data products\nDrive value for the customers - verify the solution fulfills their requirements and provides value\nQuality gatekeeper: design with quality backed by unit tests, integration tests, and utility functions.\nLead team-wide process/technology improvements on product quality and developer experience\nRally the team to finish Agile Sprint commitments. Actively surfacing team inefficiencies and striving to resolve them.\nDriven by results. Have the pragmatic urgency to resolve blockers, unclear requirements, and make things happen.\nProvide mentorship to junior SDEs and show leadership in every front\nRequirements\n8+ years of building data products as a Data Engineer or similar fields\n8+ years working in Python and SQL with a focus on data\nExperience leading projects, managing requirements, and handling timelines\nExperience managing multiple customer-focused implementation projects across cross-functional teams, building sustainable processes, and managing delivery milestones\nExperience with data plotting dashboarding tools like React and/or Streamlit is strongly preferred\nExperience working with pre-clinical data and lab scientists is strongly preferred\nExcellent communication skills, attention to detail, and the confidence to take control of project delivery.\nQuickly understand a highly technical product and effectively communicate with product management and engineering.\nBenefits\n100% employer paid benefits for all eligible employees and immediate family members.\n401K.\nUnlimited paid time off (PTO).\nCompany paid Life Insurance, LTD/STD.\nThe salary range for this position is $140K-$200K USD. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate’s specific experience, localized market data, and internal team equity.\nThis position isn't eligible for visa sponsorship","description_format":"text","description_chars":5824,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Scientific & Lab Software"],"lifecycle":[{"event":"open","at":"2026-09-06T12:22:22Z"},{"event":"close","at":"2026-09-16T19:16:13Z"},{"event":"reopen","at":"2026-09-17T21:33:42Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":187500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":45,"band":"ok","label":"Likely open","p_open":1,"p_active":0.816,"p_room":0.55,"age_days":37,"expected_fill_days":36,"reasons":["conf:2","wave","velocity","win:tail"],"computed_at":"2026-10-24T06:02:35Z"},"pay":{"stated_usd_annual":200000,"is_top_pay":true},"html_url":"https://alion.io/job/tetrascience-senior-scientific-data-engineer","json_url":"https://alion.io/job/tetrascience-senior-scientific-data-engineer.json","meta":{"generated_at":"2026-10-25T05:15:47Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":7141,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":179669},"rest":"https://alion.io/mcp/rest/get_company?id=179669"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftetrascience-senior-scientific-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftetrascience-senior-scientific-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftetrascience-senior-scientific-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/tetrascience-senior-scientific-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftetrascience-senior-scientific-data-engineer"}]}