{"id":59299,"url":"https://alion.io/job/splice-data-engineer-ii-remote-us","title":"Data Engineer II (Remote US)","company":{"id":7351,"name":"Splice","domain":"splice.com","url":"https://alion.io/company/splice","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":94952,"max":118690,"currency":"USD","period":"year","gross":null,"usd_annual":118690},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-14T19:37:45Z","employer_posted_date":"2026-08-14","last_verified_at":"2026-10-17T08:27:50Z","board_verified":true,"closed_at":null,"days_open":63,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":63},"description":"WHO WE ARE: \nSplice is a creative platform for people who make music. Serious producers choose Splice Sounds to bring their ideas to life. A subscription to Splice inspires and accelerates creative success for digital music creators with an industry-leading catalog of sounds and samples and an expanding AI stack. With a rent-to-own marketplace of DAWs and plugins, the Splice experience seamlessly integrates into any music production workflow, regardless of DAW (Digital Audio Workstation). Via Splice, an unparalleled team of sound designers and sample creators are fueling the success of a growing global community of chart-topping producers, students, and DIY creators.\nHOW WE WORK: \nAt Splice, DISCO is a rallying cry for collaboration, accountability, and unity within our organization; Direct, Inclusive, Splice Together, Creator Centric, and Optimistic. Our shared success depends on our ability to support one another, work well together, and communicate directly. By embracing flexibility and a unified approach, we can navigate anything that’s thrown at us.\nSplice embraces a culture of remote work. You’ll see your colleagues showing up from across the US and the UK. In order to keep us working well as a team, we have regular communication, including Town Halls, departmental all-hands and get-togethers.\nWhen you join Splice, you join a network of colleagues, peers, and collaborators. Are you ready?\nJOB TITLE: Data Engineer II \nLOCATION: REMOTE- US\n\nTHE ROLE: \nWe're looking for a Data Engineer II to join Splice's Data Engineering team and help scale the platform that powers creator payouts, revenue reporting, and product analytics across Splice's product lines.\nData Engineering builds and maintains the reliable foundation that makes trusted data possible, enabling teams across Splice to work from a governed, consistent source of truth. We are accountable for the warehouse and pipeline foundation; ingestion, transformations, and the standards and quality guardrails that keep data consistent, timely, and usable. This is a mid-level, high-ownership role: engineers here carry features from technical design through delivery, monitoring, and documentation, and participate in our on-call rotation.\nThe work requires hands-on data engineering experience. Our stack; BigQuery, SQLMesh, Python, Dagster- is distinct from Splice's web engineering stack, and effective contribution requires domain expertise in data pipeline systems, not general software engineering background.\nTEAM INFORMATION: \nYou'll be joining Splice's Data Engineering team, a small, embedded platform team responsible for the pipelines, transformations, and warehouse infrastructure the rest of the company depends on. Our systems support finance-critical processes (contributor payouts, GAAP revenue reporting), product analytics, and data reliability for customer-facing features like recommendations. We operate with a shared on-call rotation and a strong bias toward observable, well-documented, durable systems.\nWHAT YOU’LL DO: \nPipeline Development & Transformation\nBuild and maintain data models in SQLMesh, including incremental strategies, testing, and documentation\nContinuously improve and evolve our orchestration and transformation infrastructure as the platform scales\nModernize legacy pipeline jobs in Python and SQLMesh, reducing technical debt over time\nReliability & Observability\nParticipate in on-call rotation; triage and resolve incidents including ETL failures, data unavailability, and core metric breakage\nBuild introspectable software: define alert thresholds, emit metrics and logs, produce dashboards, and establish closed-loop escalation paths\nImprove observability across the platform so failures are caught early and resolved quickly\nFinance & Revenue Pipelines\nExtend and maintain pipelines powering creator payouts and GAAP-compliant revenue reporting across Splice's product lines\nBuild pipeline support for new revenue streams as Splice launches them\nPlatform Quality & Optimization\nImprove query performance and reduce compute costs in BigQuery\nContribute to ingestion platform work and product analytics infrastructure\nUphold our definition of done: validation complete, documentation updated, monitoring in place before closing a ticket\nJOB REQUIREMENTS:\n3+ years of hands-on data engineering experience in a production environment\nProficiency in SQL - window functions, CTEs, query optimization, execution plan analysis\nProficiency in Python for pipeline logic, data transformation, and testing (maintainable code, not just scripts)\nExperience with a modern transformation framework - SQLMesh, dbt, or equivalent - including incremental models, testing, and documentation\nProduction experience with a cloud data warehouse (we use BigQuery); understands partitioning, clustering, and cost management\nExperience with at least one workflow orchestrator (Dagster, Airflow, Prefect, or equivalent)\nDemonstrated ability to build observable, reliable data systems - alerting, dashboards, and data quality checks\nComfortable owning small-to-medium features from technical design through delivery with limited guidance\nSPLICE BENEFITS: \nCompensation & Equity: Competitive pay with annual reviews and equity opportunities.\nTime Off: Unlimited PTO to recharge and thrive.\nHealth & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents.\n Retirement Savings: 401(k) plan with immediate vesting and company match.\nParental Support: 12 weeks of fully paid parental leave for non-birthing parents, and 18-20 weeks for birthing parents.\nFlexible Work Options: Work remotely or connect at our office hubs and creative spaces worldwide.\nProfessional Growth: Annual learning budget, leadership programs, and team ambassador opportunities.\nCommunity & Connection: Inclusive events, team meet-ups, and vibrant Employee Resource Groups.\nThe national pay range for this role is $94,952 - $118,690. Individual compensation will be commensurate with the candidate's experience.\nSplice is an Equal Opportunity Employer \nSpliceprovides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.","description_format":"text","description_chars":6456,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Parental leave","Retirement plans","Unlimited PTO"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Media & Entertainment","Audio Production","Music Industry","Audio & Music Software"],"lifecycle":[{"event":"open","at":"2026-08-14T19:37:45Z"}],"visa":[],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.405,"p_room":0.36,"age_days":63,"expected_fill_days":41,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":118690,"is_top_pay":false},"html_url":"https://alion.io/job/splice-data-engineer-ii-remote-us","json_url":"https://alion.io/job/splice-data-engineer-ii-remote-us.json","meta":{"generated_at":"2026-10-17T11:13:30Z","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":14616,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":7351},"rest":"https://alion.io/mcp/rest/get_company?id=7351"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsplice-data-engineer-ii-remote-us"},{"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%2Fsplice-data-engineer-ii-remote-us"},{"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%2Fsplice-data-engineer-ii-remote-us"},{"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/splice-data-engineer-ii-remote-us\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsplice-data-engineer-ii-remote-us"}]}