{"id":4129549,"url":"https://alion.io/job/clear-capital-data-engineer","title":"Data Engineer","company":{"id":1216,"name":"Clear Capital","domain":"clearcapital.com","url":"https://alion.io/company/clear-capital","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Reno, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120000,"max":153700,"currency":"USD","period":"year","gross":null,"usd_annual":153700},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Iceberg","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Airflow","optional":true},{"name":"Amazon Aurora","optional":true},{"name":"Amazon EKS","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"AWS Lambda","optional":true},{"name":"dbt","optional":true},{"name":"Docker","optional":true},{"name":"DynamoDB","optional":true},{"name":"Git","optional":true},{"name":"IAM","optional":true},{"name":"Kubernetes","optional":true},{"name":"Master Data Management","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-12T00:32:40Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T02:07:17Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Clear Capital is building the future of real estate data. Our goal is knowing more about a property than anybody else and in the process, making home ownership valuations more fair and equitable for millions of people.\nEvery project our data team works on ships as a product or directly supports one that does. We are not a reporting team, our work moves Clear Capital's revenue.\nAs a Data Engineer, you will design, build, and operate the data pipelines and platforms behind our data & analytics products. You will work closely with the entire engineering organization to turn large, messy, multi-source datasets into reliable, product-ready data.\nYou will also be a force multiplier for your team. You will raise the technical bar through design reviews, mentorship, and clear documentation, and you will anticipate what others need before they ask.\nWhat You Will Work On\nDesign, build, and maintain ELT pipelines that ingest data from APIs, object stores, databases, and streaming or queue-based sources.\nBuild scalable data models and transformations that serve analytics, machine learning, and operational use cases.\nOwn and improve existing production data pipelines, including modernizing legacy workflows.\nStandardize and match data across sources, including entity resolution and address normalization.\nBuild and maintain data quality checks, monitoring, and alerting so issues are caught early.\nPartner with ML, BI, and data operations teams to understand their needs and deliver the data they rely on.\nChampion engineering best practices: code review, testing, documentation, and version\nWho We Are Looking For\nBachelor's degree in a technical field, or equivalent practical experience.\n3-5+ years of overall experience in software or data engineering.\n3+ years of professional Python development.\nStrong understanding of data modeling, data lake architecture, and master data management concepts.\nFamiliarity with ELT standards and best practices.\nHands-on experience with AWS services such as IAM, S3, Glue, RDS or Aurora, EKS, SQS, DynamoDB, and Lambda.\nExperience with workflow orchestration (e.g., Airflow) and SQL-based transformation (e.g., dbt).\nExperience with containerization and orchestration (e.g., Docker, Kubernetes).\nProficiency with Git and collaborative development on a shared codebase.\nComfortable with the command line.\nPreferred\nExperience with open table formats such as Apache Iceberg.\nExperience working with MLS, real estate, property, or other large public-record datasets.\nExperience building platforms or internal tools that other engineers use.\nExperience with data lake or lakehouse architectures at scale.\nWhy Join Us\nYour work ships to customers and directly drives revenue. It is not BI or internal reporting.\nWork on data that affects how people value and finance their homes.\nPartner closely with product management on a roadmap that you help shape.\nShape the architecture and standards for a growing data platform.\nWhat You Can Expect\nCompensation: The base salary for this position ranges from $120,000 to $153,700 annually, depending on your location, experience, and qualifications. Additional compensation offerings include company profit-sharing bonus program, communication stipends, and referral bonuses. \nInclusive benefits package offering: Comprehensive medical, dental, and company paid vision insurance, 401(k) retirement plan with employer match, voluntary life and AD&D insurance options, voluntary supplemental insurances for accident, critical illness, and legal services, paid time off (PTO) and paid holidays, employee assistance and wellness programs, company paid short term disability coverage, company contributions to health saving funds (with participation in the high deductible health plan. We offer company paid access to Galileo for virtual primary care and Rula for virtual mental health resources.\nThrough our Anniversary Program, we celebrate the meaningful milestones and long tenure that reflect how much we value your contributions and commitment to our team.\nCareer and skill development resources to help advance your career and personal growth.\nA mission-driven environment where your work makes a measurable impact on the real estate industry.\nWhat We Value\nWherever it Leads, Whatever it Takes® - No matter how remote, complex, or unexpected. Our commitment never wavers.\nHire NICE people - Skills can be taught but character shines through. We seek those who bring integrity, kindness, and grit.\nLift others up - We lead with empathy and strive to improve the lives of those around us.\nSweat the details - Excellence lives in the little things. Getting it just so is how we make a big impact.\nRaise the bar - We don’t settle for industry standards, we redefine them.","description_format":"text","description_chars":4754,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Retirement plans","Vision insurance","Wellness"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Real Estate","PropTech","Real Estate Appraisal"],"lifecycle":[{"event":"open","at":"2026-11-12T02:07:17Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 2","filings_12m":2,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":142500,"route":null,"cap_exempt":false,"checked_at":"2026-11-11T07:38:50+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":49,"reasons":["conf:3","win:early"],"computed_at":"2026-11-12T05:13:23Z"},"pay":{"stated_usd_annual":153700,"is_top_pay":true},"html_url":"https://alion.io/job/clear-capital-data-engineer","json_url":"https://alion.io/job/clear-capital-data-engineer.json","meta":{"generated_at":"2026-11-12T05:13:23Z","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":11466,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":1216},"rest":"https://alion.io/mcp/rest/get_company?id=1216"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fclear-capital-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fclear-capital-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fclear-capital-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/clear-capital-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fclear-capital-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4129549}},{"tool":"search_jobs","arguments":{"company":"clearcapital.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4129549},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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