{"id":2817673,"url":"https://alion.io/job/clear-street-senior-data-engineer","title":"Senior Data Engineer","company":{"id":326786,"name":"Clear Street","domain":"clearstreet.io","url":"https://alion.io/company/clearstreet","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":78,"open_postings":8,"ghost_share":0,"stale_share":0.875,"repost_share":0,"time_to_fill_p50_days":46,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":150000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Argo Workflows","optional":true},{"name":"Datadog","optional":true},{"name":"Fivetran","optional":true},{"name":"Kubernetes","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-10-18T14:34:50Z","employer_posted_date":"2026-10-18","last_verified_at":"2026-10-21T04:02:01Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Description\nClear Street is modernizing the brokerage ecosystem. Founded in 2018, Clear Street is a diversified financial services firm replacing the legacy infrastructure used across capital markets.\nWe started from scratch by building a completely cloud-native clearing and custody system designed for today's complex, global market. Our platform is fully integrated with central clearing houses and exchanges to support billions in trading volume per day. We've agonized about our data model abstractions, created horizontal scalability, and crafted thoughtful APIs. All so we can provide a best-in-class experience for our clients.\nBy combining highly-skilled product and engineering talent with seasoned finance professionals, we're building the essentials to compete in today's fast-paced markets.\nThe Team:\nThe mission of the Clear Street Active team is to provide best execution for every asset class in every market. Active is building a new, state-of-the-art, cloud-based trading platform giving high-performance traders access to liquidity venues across multiple asset classes, cutting-edge charting, and sophisticated order handling.\nThe Active Data team owns how the business understands itself, and increasingly how it decides what to do next. Data flows into our warehouse from ad platforms, product analytics, CRM and support systems, and the brokerage's own systems. It flows back out to the platforms that message our customers, bid for new ones, and manage relationships with them. Every hop is a place where data can be duplicated, delayed, or quietly redefined, and an error that leaves the warehouse does not stay a reporting problem. It spends ad budget on the wrong people, sends a customer the wrong message, or misstates a regulated number. Moving data is table stakes. Keeping it true as it travels is the problem this role owns. It is a small team with a wide surface area, and we are scaling it as the platform grows toward tens of thousands of accounts.\nThe Role:\nThree areas of the business depend on this role, and you will own the data for all of them:\nGrowth. Bring in spend, clicks, and conversions from every paid, affiliate, and organic channel, reconcile them against our own records, and send funded-account outcomes back to the ad platforms, so bidding optimizes for customers who actually fund and trade.\nLifecycle and the user journey. Resolve each customer's identity from a first anonymous visit through sign-up, KYC, funding, and first trade, and keep lifecycle messaging, CRM, and support systems in step with what actually happened.\nBrokerage data. Model account opening, KYC, funding and transfers, and trading from the platform's own systems, with the precision a regulated broker-dealer needs.\nAcross all three, you will:\nOwn data integrity in both directions. Prove that every feed arrived complete and on time, and that every outbound sync landed what it should. A duplicated conversion inflates ad spend, a stale attribute sends the wrong message, and a broken join misstates funded accounts to leadership.\nOwn the warehouse layers in dbt: raw landing, staged and identity-resolved models, and the curated models that analysts, data scientists, dashboards, and internal AI agents read from. Every model has a declared grain and tests.\nEstablish data contracts with product engineering and with the owners of the platforms we depend on, so an upstream change is caught at the boundary instead of silently nulling a field three models downstream. You will define these rather than inherit them.\nOwn governance: role-based access, PII masking, retention, and auditability, including self-serve tools that do not become a way around permissions.\nChoose deliberately between batch, change-data-capture, and streaming, based on what each consumer actually needs.\nPartner with Marketing, Product, and Operations to get the events and fields the business needs captured. This role is measured on whether the business's numbers are right and on time, not on pipelines delivered.\nWhat We Value:\nEngineers measured on whether the numbers are right, not on what was shipped\nVery high agency. Much of the work here begins before the requirement is clear: the source has no documentation, the field you need was never captured, and the team that owns it is busy shipping. We need someone who chases a dependency into another team and ships something reliable without a spec.\nSkepticism about data, including your own pipelines. Check grain, joins, and completeness before you trust a number.\nA preference for boring, observable systems over clever ones\nClear communication with non-engineers: able to explain to a marketer why yesterday's number moved, and to negotiate a schema change with a product team the same afternoon\nPragmatism: ship the version that works now, and improve it deliberately rather than waiting for the ideal one\nRequirements:\nMinimum five years in data engineering or analytics engineering, with production pipelines you were on the hook for when they broke\nDeep proficiency in SQL and Python, and production experience with dbt in a layered warehouse: raw, staged, and curated models with a declared grain, tests, and incremental builds\nHands-on experience bringing in third-party and application data through managed connectors, event pipelines, and change-data-capture, and handling what goes wrong with each: schema drift, resyncs, duplicates, and late or missing records\nExperience sending data back out, through reverse ETL, audiences, or conversion feeds, and owning its correctness after it leaves the warehouse\nData quality in practice: reconciliation against systems of record, freshness and volume monitoring, and the fix that stops an incident from recurring\nData governance in practice: role-based access, PII masking, retention, and an audit trail you could show a regulator\nFamiliarity with fintech or brokerage data: account opening and KYC, funding and transfers, trades and settlement, and why superficially similar balance or status fields are not interchangeable\nSelf-starter who operates well without a large team to escalate into\nNice To Haves:\nIdentity resolution across web, app, and account data: anonymous visitors, multiple devices, and more than one account per person\nMarketing data: ad-platform APIs, conversion APIs, click IDs, and attribution\nLifecycle and CRM tooling, where the pipeline ends in a campaign rather than a table\nSemantic layers for BI tools and AI agents\nWorkflow orchestration (Argo Workflows, Airflow, or similar), and enough Kubernetes to debug your own jobs\nData retention and audit requirements in a regulated environment (SEC, FINRA)\nExperience being an early data engineering hire on a team that scaled\nScope: This role owns the data: pipelines into and out of the warehouse, the models in it, and who can see what. The trading systems, the core clearing ledger, and company infrastructure (cloud, Kubernetes, networking) are owned by engineering and infrastructure teams, and you will work closely with them.\nActive Data Stack: Snowflake, dbt, SQL, Python, Fivetran, Segment, Argo Workflows, Datadog\nWe Offer:\nThe opportunity to join a small and growing team of good people, where you can make a difference.\nA new, high-quality code base with little technical debt and room to build new services and features.\nA meritocratic philosophy that champions collaboration.\nCompetitive compensation, benefits, and perks.\nAt Clear Street, we offer competitive compensation packages, company equity, 401k matching, gender neutral parental leave, and full medical, dental and vision insurance. In-office benefits include lunch stipends, fully stocked kitchens, happy hours, a great location, and amazing views.\nThe Base Salary Range for this role is $150,000 - $250,000. \nOur top priority is our people. We're continuously investing in a culture that promotes collaboration. We help each other through challenges and celebrate each other's successes. We believe that modern workplaces succeed by virtue of having high-performance workforces that are diverse - in ideas, in cultures, and in experiences. We are proud to be an equal opportunity employer and put in the effort to make such a workplace a daily reality. #LI-Remote","description_format":"text","description_chars":8238,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Parental leave","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Stock Exchanges & Market Infrastructure","Online Brokerage & Trading Platforms"],"lifecycle":[{"event":"open","at":"2026-10-18T14:46:11Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker","cap_exempt":false,"checked_at":"2026-10-21T06:25:45+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":46,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-10-21T05:46:15Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/clear-street-senior-data-engineer","json_url":"https://alion.io/job/clear-street-senior-data-engineer.json","meta":{"generated_at":"2026-10-21T06:54:27Z","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":9767,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"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":326786},"rest":"https://alion.io/mcp/rest/get_company?id=326786"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fclear-street-senior-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%2Fclear-street-senior-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%2Fclear-street-senior-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-street-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fclear-street-senior-data-engineer"}]}