Data Engineer II

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 engagementall with enterprise-grade security and compliance. Today nearly 1200 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 valuesBe 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. Thats why weve been recognized as one of Incs Best Workplaces and Fastest Growing Companies and were recognized on Forbes list of Americas Best Startup Employers in 2022. Notably Iterable has also been listed on Wealthfronts Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.

With a global presenceincluding offices in San Francisco Denver London Sydney and Lisbon plus remote employees worldwidewe 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. Lets shape the future of customer engagement together!

How you will make an impact:

As a Data Engineer II at Iterable youll 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.

• 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.

• 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.

• 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

• 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.

• 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 isper 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 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.

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