{"id":2876779,"url":"https://alion.io/job/dow-jones-staff-data-engineer","title":"Staff Data Engineer","company":{"id":58531,"name":"Dow Jones","domain":"dowjones.com","url":"https://alion.io/company/dow-jones","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":24,"ghost_share":0,"stale_share":0.958,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":160000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Cortex","optional":false},{"name":"FinOps","optional":false},{"name":"GDPR","optional":false},{"name":"LLM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SOC 2","optional":false},{"name":"Terraform","optional":false},{"name":"Alation","optional":true},{"name":"AWS","optional":true},{"name":"Collibra","optional":true},{"name":"dbt","optional":true},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-10-19T21:42:57Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-20T17:09:21Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Description:\nStaff Engineer, Snowflake Platform\nDow Jones, Data Architecture & Platform Engineering\nNew York, United States | Job ID: TBD | Internal career level: Staff Engineer\nDow Jones is a global provider of news and business information, delivering content to consumers and organizations\naround the world across multiple formats, including print, digital, mobile and live events.\nAbout the team\nThe Data Architecture & Platform Engineering team runs the data infrastructure behind Dow Jones products,\nanalytics, and AI across B2B, B2C, and internal use cases. We own the Snowflake footprint which serves as the\nfoundation of all DJ structured data, the surrounding platforms and patterns, and the governance framework. We\nbuild for scale, reliability, security, and cost efficiency.\nThe role\nThis is an individual-contributor leadership role focused on Snowflake infrastructure at the Dow Jones enterprise\nscale. You'll own the platform end to end: account architecture and administration, security and access control, and\nthe DevOps machinery that makes Snowflake safe and easy to use across dozens of teams and every business unit.\nYou will own the Snowflake platform's AI story: efficient, cost-managed access to Cortex and other AI features,\noptimized patterns for LLM-assisted workflows, and standards that let engineers across DJ build with AI on top of\ngoverned data.\nYou'll ship the hard parts yourself, set the standards other teams follow, and mentor the engineers who work in and\naround Snowflake. You lead through influence: design reviews, working code, written arguments, and mentoring.\nYou'll partner with security, compliance, finance, product, and engineering leaders to turn DJ's data-platform goals\ninto infrastructure that holds up over time.\nYou'll split your time between hands-on Snowflake work on the highest-stakes projects; standards and platform-level\ndecisions; and mentoring engineers across levels.\nWhat you'll do\nOwn the Snowflake footprint across Dow Jones: accounts, warehouses, roles, databases, and the operating model behind them.\nDesign and evolve RBAC, column and row-level policies, masking, tagging, and data classification for every business unit.\nBuild and maintain the DevOps pipeline for Snowflake: Terraform, CI/CD for schema and object changes, automated testing, and change management.\nSet and enforce standards for security, network policies, private connectivity, SSO, SCIM, and secrets management.\nOptimize cost and performance: resource monitors, warehouse right-sizing, query analysis, credit budgeting, and FinOps reporting.\nDesign for reliability at DJ scale: replication, failover, disaster recovery, incident response, and observability across the platform.\nExplore and implement emerging AI tooling to accelerate our modern data engineering practices.\nLead architecture and design reviews for major Snowflake initiatives.\nAnticipate scalability, reliability, security, and cost problems before they land.\nHunt technical debt in the platform to reduce complexity so downstream teams get more done with less.\nDebug the problems no one else can. Lead during incidents and get to root cause fast.\nMentor engineers across levels, including senior and staff peers, through design guidance, code review, pairing, and documentation.\nContribute to how the org grows engineers: development practices, career frameworks, communities of practice.\nCommunicate through design docs, wiki, and tech talks; tailor the message for engineers, product, security, and executives. What we're looking for\n7+ years in data engineering, platform engineering, or infrastructure roles, with time spent at large or enterprise-scale companies.\nThought-leader of AI and opinionated about how to make it work effectively at scale on a data platform. Dow Jones invests heavily in AI and expects Staff engineers to shape how it lands.\nDeep, hands-on Snowflake experience running a production account at scale: administration, RBAC, security posture, cost, and performance.\nStrong Terraform experience (Snowflake provider or equivalent) and CI/CD for data infrastructure.\nTrack record designing and operating data platforms that serve many teams, business units, or downstream systems.\nSecurity fluency: RBAC design, data masking, access policies, private connectivity, SSO and SCIM, audit posture.\nFluency with observability, monitoring, incident response, and on-call for data infrastructure.\nStrong Python for platform tooling, automation, or service work.\nExperience working in regulated or audited environments (SOC 2, SOX, GDPR, or equivalent).\nBachelor's degree in Computer Science, Engineering, or equivalent experience.\nAbility to influence across teams and functions without formal authority, backed by strong writing and speaking. Nice to have\ndbt, Airflow, or comparable orchestration and transformation experience.\nSnowflake certifications (SnowPro Advanced: Administrator or Data Engineer).\nSerious Snowflake cost optimization or FinOps work.\nData governance, metadata, or lineage tooling (Collibra, Atlan, Alation, or similar).\nCloud platform depth (AWS especially) and platform operations at scale.\nNear-real-time or event-driven data processing.\nPrior experience developing engineers through mentoring, design reviews, or communities of practice. Our Benefits\nComprehensive healthcare plans.\nPaid time off.\nRetirement plans.\nComprehensive insurance plans.\nEducation benefits.\nFamily care benefits.\nCommuter transit program.\nSubscription discounts.\nEmployee referral program. Inclusion and Diversity\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex,\nnational origin, protected veteran status, or disability status. Dow Jones is committed to providing reasonable\naccommodation for qualified individuals with disabilities in our job application and/or interview process.\nIf you need assistance or accommodation in completing your application or participating in the interview process\nbecause of a disability, please contact . Please put \"Reasonable\nAccommodation\" in the subject line.\nCurrent Colleagues\nIf you are currently employed by Dow Jones, please apply internally via the Workday internal careers site.\nEqual Opportunity Employer\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law. EEO/Disabled/Vets\nReasonable Accommodation\nWe are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at . Please put \"Reasonable Accommodation\" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.\nPlease refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.\nBusiness Area:\nDow Jones - Technology\nJob Category:\nSoftware Product Engineering\nUnion Status:\nNon-Union roleBase Pay Range: 160,000 $ - 200,000 $\nWe’re committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate’s experience, skills, location, and other relevant factors.\nFor bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.\nFor benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.","description_format":"text","description_chars":8008,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Publishing","News Agencies","RegTech, AML & Compliance","Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-10-19T21:42:57Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 6","filings_12m":6,"filings_prev_12m":4,"green_card_filings_12m":0,"median_offered_wage_usd":102500,"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)"],"filings_for_role_12m":0}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":1,"expected_fill_days":26,"reasons":["conf:12","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":{"stated_usd_annual":200000,"is_top_pay":true},"html_url":"https://alion.io/job/dow-jones-staff-data-engineer","json_url":"https://alion.io/job/dow-jones-staff-data-engineer.json","meta":{"generated_at":"2026-10-21T17:57:35Z","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":25267,"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":58531},"rest":"https://alion.io/mcp/rest/get_company?id=58531"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdow-jones-staff-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%2Fdow-jones-staff-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%2Fdow-jones-staff-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/dow-jones-staff-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdow-jones-staff-data-engineer"}]}