{"id":1149488,"url":"https://alion.io/job/iterable-staff-data-engineer","title":"Staff Data Engineer","company":{"id":11773,"name":"Iterable","domain":"iterable.com","url":"https://alion.io/company/iterable","size_band":"501-1000","is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":87,"open_postings":3,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":60,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":82500,"max":108000,"currency":"EUR","period":"year","gross":true,"usd_annual":123276},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Docker","optional":true},{"name":"Gmail","optional":true},{"name":"Kubernetes","optional":true},{"name":"Spark","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-23T15:12:08Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T20:36:47Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Iterable is the AI customer engagement platform, built for enterprise scale, loved by teams, and trusted by global brands like Redfin, SeatGeek, Priceline, Calm, and Box. Our platform empowers organizations to activate customer data from any source, design seamless cross-channel experiences, and optimize engagement with Nova Intelligence, the AI layer of our platform, all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.\nOur success is powered by extraordinary people who bring our core values to life every day: Be an Owner, Growth Mindset, Run as One, and Transparency. And the market has noticed: G2 recognizes Iterable as a Leader globally, spanning the Americas, EMEA, APAC, ANZ, and Latin America, with category leadership in Personalization, Marketing Automation, Push Notifications, and Mobile Marketing, and a 4.5/5-star rating from hundreds of users. Gartner named Iterable a Challenger in the Gartner Magic Quadrant for Multichannel Marketing in both 2024 and 2025. We’ve also earned TrustRadius Top Rated honors in 2024 and 2025, were named a TrustRadius Buyer’s Choice for 2026, and were featured in Snowflake’s Modern Marketing Data Stack 2026.\nWith a global presence that includes offices in San Francisco, Denver, London, Sydney, and Lisbon, plus remote employees worldwide, we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!\nHow you will make an impact:\nAs a Staff Data Engineer at Iterable, you'll build reliable data pipelines and platform capabilities that power customer-facing data movement, analytics data products, and machine learning foundations.\nYou will lead large-scope or high-impact projects, drive technical decisions through ambiguity, and collaborate across engineering, product, infrastructure, and data science to deliver scalable, observable systems.\nYou will help evolve our ingestion, activation, analytics, and ML data workflows while improving reliability, data quality, operational visibility, and long-term maintainability across the platform.\nHow you will make a difference:\nOwn the architecture and end-to-end delivery of critical workflows in our next-generation data ingestion and activation platform, including source connectors, staging and transformation workflows, diffing and incremental sync logic, and integrations with Iterable bulk APIs.\nDefine and apply high-availability, fault-tolerance, and recovery patterns for data-intensive systems, including graceful degradation, retries, replayability, backfills, idempotency, and durable workflow execution.\nLead the design of Snowflake-based data pipelines and data-sharing workflows that improve freshness, correctness, scalability, and operability for analytics products and customer-facing data delivery.\nEstablish technical standards for schema evolution, data quality, observability, testing, and lifecycle management so data systems are easier to extend, debug, and support at scale.\nPartner with data science and machine learning engineers to architect robust data infrastructure behind feature generation, feature serving, model inputs, and experimentation workflows.\nDrive technical tradeoffs across batch and streaming patterns, raw-to-curated data modeling, latency, performance, cost, availability, and maintainability as systems scale.\nCollaborate with cross-functional partners across product, frontend, platform, SRE, and customer-facing teams to define interfaces, resolve complex production issues, and align solutions with broader platform direction.\nIdentify architectural gaps and operational risks early, and turn them into concrete roadmaps, design proposals, and execution plans.\nCreate reusable abstractions, platform capabilities, and engineering patterns that raise the leverage of the broader team beyond immediately owned systems.\nProvide technical leadership through design reviews, implementation guidance, incident reviews, and mentorship for senior and mid-level engineers.\nInfluence roadmap and prioritization discussions by connecting platform investments to reliability, scalability, and long-term engineering efficiency.\nWe are looking for people who have:\n8+ years of relevant experience in data engineering, software engineering, or adjacent platform and infrastructure roles.\nDeep experience designing and operating production data pipelines, ETL/ELT systems, or data platforms at scale.\nStrong proficiency in Python and SQL, plus familiarity with at least one additional programming language such as Scala or Java.\nExperience with modern data tooling and cloud platforms such as Snowflake, S3, Databricks, Postgres, Redis, or similar systems.\nStrong experience with orchestration and workflow concepts, and with designing batch and/or streaming data systems.\nDeep understanding of data modeling, schema evolution, incremental processing, testing, observability, and operational excellence for reliable data products.\nA track record of owning ambiguous, high-impact technical initiatives from problem definition through adoption and operational maturity.\nExperience designing for high availability, resilience, and recovery in systems with strict reliability or customer delivery expectations.\nExperience influencing technical direction across teams and building alignment without direct authority.\nDesire to work in a highly remote/distributed but collaborative environment.\nWillingness to participate in operational support or on-call as needed.\nFluency in English (verbal and written).\nLegally authorized to work in the EU.\nOur Technology Stack:\nProgramming Languages: Python, SQL, Scala and/or Java\nData Platforms & Databases: Snowflake, Databricks, S3, Postgres, Redis\nInfrastructure: AWS, Kafka, Pulsar\nOther Relevant Technologies: Spark, Terraform, Docker / Kubernetes, ETL/ELT orchestration\nBonus Points\nDesigning highly available, fault-tolerant data platforms\nDisaster recovery, replay, idempotency, and backfill patterns\nMulti-tenant or enterprise-scale data delivery\nPlatform standardization and reusable framework design\nLeading architecture across multiple teams\nOperational excellence for business-critical workflows\nWhat we offer \nCompetitive salaries & meaningful equity\nPrivate Medical Insurance\nLife/Risk Assurance\nMeal Allowance: 8.55€ per day\nCommunity Days (days for us to give back to the community) \nPaid Annual Leave (22 days)\nGlobal Lifestyle Reimbursement Account\nPaid Sabbatical\nComplete laptop workstation\nThe base salary range for this position in Lisbon, Portugal, is €82,500 - €108,000 per year (gross). This range is provided in anticipation of the requirements of the EU Pay Transparency Directive (2023/970), which EU member states are implementing into national law, and reflects the expected compensation at the start of employment for this role.The final offer will be determined by your experience, qualifications, and performance throughout the selection process, while ensuring alignment with our internal equity principles.\nRecruitment Disclaimer:\nPlease be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:\nSend job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.\nRequest money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).\nRequest or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.\nYou may see all job vacancies on our official Iterable channels:\nOfficial Iterable website, Careers page: https://iterable.com/careers/\nOfficial LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/\nIterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at  upon receiving a suspicious job offer.\nCriminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.\nIterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. 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