Job Description
Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—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.
Our success is powered by extraordinary people who bring our core values—Be an Owner, Growth Mindset, Run as One, Transparency —to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.
With a global presence—including 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!
How you will make an impact:
As a Data Engineer II at Iterable, you'll build reliable data pipelines and platform capabilities that power customer-facing data movement, analytics data products, and machine learning foundations.
You will own moderate-scope projects with regular guidance on newer or more ambiguous problems, while collaborating across engineering, product, infrastructure, and data science to deliver scalable, observable systems.
You will help evolve our ingestion, activation, analytics, and ML data workflows while improving reliability, data quality, and operational visibility across the platform.
How you will make a difference:
Build and operate components of 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.
Improve pipeline reliability, observability, and recovery through metrics, dashboards, alerting, retries, and durable workflow execution.
Develop and maintain Snowflake-based data pipelines and data-sharing workflows that improve freshness, correctness, and scalability for analytics products and customer-facing data delivery.
Contribute to schema evolution, data quality checks, and operational processes that reduce discrepancies and make data systems easier to support and extend.
Partner with data science and machine learning engineers to build and harden the data infrastructure behind feature generation, feature serving, model inputs, and experimentation workflows.
Make thoughtful tradeoffs across batch and streaming patterns, raw-to-curated data modeling, performance, and maintainability as systems scale.
Collaborate with cross-functional partners across product, frontend, platform, SRE, and customer-facing teams to define interfaces, debug issues, and deliver high-quality solutions end to end.
Recommend improvements to existing processes and understand resources available to overcome unforeseen issues.
Learn to proactively anticipate small roadblocks to accomplishing tasks and use knowledge of business unit processes to navigate them successfully.
We are looking for people who have:
3+ years of relevant experience in data engineering, software engineering, or adjacent platform and infrastructure roles.
Experience building and operating production data pipelines, ETL/ELT systems, or data platforms at scale.
Strong proficiency in Python and SQL, plus familiarity with at least one additional programming language such as Scala or Java.
Experience with modern data tooling and cloud platforms such as Snowflake, S3, Databricks, Postgres, Redis, or similar systems.
Familiarity with orchestration and workflow concepts, and with designing batch and/or streaming data systems.
Understanding of data modeling, schema evolution, incremental processing, testing, and observability for reliable data products.
Desire to work in a highly remote/distributed but collaborative environment.
Willingness to participate in operational support or on-call as needed.
Fluency in English (verbal and written).
Legally authorized to work in the EU.
Our Technology Stack:
Programming Languages: Python, SQL, Scala and/or Java
Data Platforms & Databases: Snowflake, Databricks, S3, Postgres, Redis
Infrastructure: AWS, Kafka, Pulsar
Other Relevant Technologies: Spark, Terraform, Docker / Kubernetes, ETL/ELT orchestration
Bonus Points
Experience with Apache Spark, feature stores, or ML platform data workflows.
Experience with Kafka, Pulsar, Airflow, or similar event-driven and workflow technologies.
Experience with AWS and infrastructure-as-code tools such as Terraform.
Experience supporting enterprise-grade data products with strict reliability, freshness, or customer delivery expectations.
Experience with end-to-end, integration, or performance testing for data-intensive systems.
Perks & Benefits:
Competitive salaries & meaningful equity
Private Medical Insurance
Life/Risk Assurance
Meal Allowance: 8.55€ per day
Balance Days (additional paid holidays)
Paid Annual Leave (22 days)
Paid Sabbatical (after 4 years tenure)
Initial laptop workstation setup
Teleworking Allowance
The base salary range for this position in Lisbon, Portugal, is €55,000 – €68,000 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 based on your experience, qualifications, and performance throughout the selection process, while also ensuring alignment with our internal equity principles.
Recruitment Disclaimer:
Please be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:
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Request 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.).
Request 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.
You may see all job vacancies on our official Iterable channels:
Official Iterable website, Careers page: https://iterable.com/careers/
Official LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/
Iterable 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 talent-ops@iterable.com upon receiving a suspicious job offer.
Criminal 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.
Iterable 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. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.