{"id":2581705,"url":"https://alion.io/job/total-perform-forward-deployed-data-engineer","title":"Forward Deployed Data Engineer","company":{"id":4417143,"name":"Perform","domain":"totalperform.com","url":"https://alion.io/company/totalperform","size_band":"1-10","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":116000,"max_usd":222000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1181},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Azure","optional":false},{"name":"Claude Code","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"LLM","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Embeddings","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-09-14T20:28:53Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-10-15T10:45:30Z","board_verified":true,"closed_at":null,"days_open":30,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":30},"description":"Role Overview\nThe data engineer role has changed. Building a pipeline, handing it off, and waiting for someone else to confirm the data is right no longer creates much value. The engineers who matter now go deep into the business domain, understand the problem directly, and use AI tools to move from question to working solution in hours rather than sprints.\nWe are seeking a Senior Forward Deployed Data Engineer who operates as a hybrid technical product owner. You will build and operate the data platform on Azure Databricks, and you will also sit with business stakeholders, interrogate the problem, and own the outcome end to end. You will not wait for requirements to arrive. You will go find them, validate them, and ship, using Claude Code and agentic development patterns to collapse the distance between understanding a business problem and solving it in production.\nThis is what it means to shift the engineer left into the business. You are not a pipeline builder waiting on a ticket. You are the person who understands how physician network growth, member engagement, and operational performance actually work, and who builds the data infrastructure that makes the entire analytics function faster and sharper.\nThis position supports a healthcare organization, so US residency is required and experience handling regulated data is valued.\nWhat You Will Do\nOwn the Data Platform\nDesign, build, and operate the data platform on Azure Databricks, covering ingestion, transformation, storage, and serving layers that power analytics, AI models, and operational reporting.\nBuild and maintain pipelines across the business ecosystem, including Salesforce, SQL Server, Snowflake, third-party sources, and a new cloud-native payments platform.\nEngineer for quality and trust through validation checks, anomaly detection, lineage tracking, and documentation that every downstream consumer can rely on.\nWrite clean, version-controlled, production-grade code. Think like a software engineer building a product, not a script runner maintaining jobs.\nOwn architecture decisions across storage, transformation, orchestration, and serving, balancing delivery speed against long-term maintainability.\nGo Deep Into the Business Domain\nPartner directly with stakeholders across physician growth, member services, finance, and operations to understand how data drives decisions, then build for those decisions rather than for abstract requirements.\nAct as technical product owner for your domain areas. Own the backlog, prioritize by business impact, and ship iteratively without waiting for a PM to sequence your work.\nTranslate ambiguous business questions into data models, feature tables, and curated datasets that analysts and data scientists can build on immediately.\nPush back on vague requirements until they are sharp enough to build against.\nClose the loop. Follow your data through to the dashboard, the model, or the operational workflow and validate that it is actually driving the outcome.\nCommunicate tradeoffs, limitations, and timelines clearly to technical and non-technical audiences alike.\nDrive AI-First Engineering Practices\nUse Claude Code and agentic development as your primary workflow, including AI-driven pipeline generation, automated testing, and rapid prototyping, to ship at a pace traditional approaches cannot match.\nBuild data infrastructure that is AI-ready: well-documented, semantically clear, and structured so that AI tools and agents can reason over it effectively.\nSupport data workflows behind AI and LLM applications, including curated context, retrieval-ready datasets, and the evaluation data needed to measure whether those systems are working.\nScout, evaluate, and adopt emerging AI tools and platforms that make the data team faster, separating real value from hype through hands-on testing.\nShare what you learn. Document patterns, run demos, and help the broader team adopt AI-first workflows with confidence.\nHandle Data Responsibly\nApply appropriate handling, access control, and compliance practices for sensitive and regulated healthcare data.\nWho You Are\nA data engineer who refuses to stay in the technical silo. You go find the business problem rather than waiting for it to arrive as a ticket.\nSomeone who thinks like a product owner. You prioritize by impact, ship incrementally, and own the outcome, not just the pipeline.\nThe kind of engineer who was already using AI tools to write, test, and deploy code before anyone asked, and who knows when the output needs a human eye.\nEqually comfortable writing a Spark transformation, debugging a Salesforce data sync, presenting findings to leadership, and pushing back on a vague requirement.\nPragmatic over perfectionist. You optimize for business impact and speed to value rather than theoretical elegance.\nA strong collaborator who elevates the people around you through clear communication, reusable patterns, and generous knowledge sharing.\nRequired Qualifications\nBS in Computer Science, Data Science, or a related field, with 6 or more years in data engineering or a hybrid data engineering and analytics role.\nDeep hands-on experience with Azure Databricks, including notebooks, Delta Lake, Unity Catalog, and production-scale pipelines.\nStrong Python and SQL, with experience in PySpark and distributed data processing.\nExperience building and operating pipelines that serve analytics, ML models, and operational systems, not only batch ETL jobs.\nDirect experience working with business stakeholders to define requirements, shape data products, and deliver measurable outcomes.\nActive, daily use of AI coding tools as a force multiplier, with Claude Code as the primary platform and familiarity across other leading models.\nData architecture experience, including designing systems rather than only implementing against someone else's design.\nExperience building data products for marketing or growth teams, such as customer segmentation, campaign attribution, or engagement and retention analytics.\nStrong communication skills and a track record of presenting technical work to non-technical audiences.\nProven ability to take an ambiguous business problem and turn it into a working data solution with minimal direction.\nNice to Have\nHealthcare, PHI, or other regulated-industry data experience.\nExperience with Salesforce data models and integrations.\nExperience with payments platforms or financial data pipelines.\nExperience with MCP, agent architectures, RAG, embeddings, or vector databases.\nExperience with data governance, cataloging, access control, and compliance frameworks.\nExperience with LLM evaluation, observability, prompt optimization, and AI system cost management.\nExperience with BI and visualization tooling, or building analytics for non-technical users.\nExperience in a forward-deployed, consulting, client-facing, startup, or highly autonomous engineering environment.\nIdeal Candidate\nThe ideal candidate is a senior data engineer who understands the business, not only the platform. They move comfortably between data, AI, product, and operations, and they can hold a productive conversation with someone who has no technical background at all.\nYou should be able to carry a problem through the full arc:\nBusiness Question → Discovery → Data Architecture → Platform and Pipelines → Production → Adoption → Optimization\nThe ability to build reliably, understand why the data matters, and work directly with stakeholders matters as much as technical depth.\nYour partner for AI, consulting, software development, and nearshore staffing.","description_format":"text","description_chars":7571,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-15T02:06:47Z"}],"visa":[],"liveness":{"score":35,"band":"fade","label":"Fading","p_open":1,"p_active":0.635,"p_room":0.55,"age_days":30,"expected_fill_days":23,"reasons":["conf:3","win:tail"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/total-perform-forward-deployed-data-engineer","json_url":"https://alion.io/job/total-perform-forward-deployed-data-engineer.json","meta":{"generated_at":"2026-10-15T12:12:15Z","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":18730,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":4417143},"rest":"https://alion.io/mcp/rest/get_company?id=4417143"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftotal-perform-forward-deployed-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%2Ftotal-perform-forward-deployed-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%2Ftotal-perform-forward-deployed-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/total-perform-forward-deployed-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftotal-perform-forward-deployed-data-engineer"}]}