Data Engineer II

Iterable; United States; Remote; USD 61,000 - 76,000; Full time

Benefits offered by this job

Competitive salaries & meaningful data

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

Job summary

Iterable is recruiting a Data Engineer II to build reliable data pipelines and platform capabilities powering customer data movement and analytics. You will own moderate-scope projects and collaborate with engineering, product, infrastructure, and data science teams to deliver scalable, observable systems.

You will evolve ingestion, activation, analytics, and ML data workflows, improving data quality, reliability, and operational visibility across the platform.

Qualifications

• 3+ years in data engineering, software engineering, or related platform roles.
• Experience building and operating production data pipelines at scale.
• Strong Python and SQL skills; familiarity with Scala or Java.
• Hands-on with Snowflake, Databricks, S3, Postgres, Redis.
• Experience with orchestration tools and batch/streaming data systems.
• Understanding of data modeling, schema evolution, and observability.
• Comfort working in a highly remote/distributed but collaborative environment.

Responsibilities

• Build and operate components of the next-gen data ingestion and activation platform.
• Improve pipeline reliability, observability, and recovery with metrics and dashboards.
• Develop Snowflake-based data pipelines and data-sharing workflows.
• Contribute to schema evolution and data quality checks.
• Collaborate with data science to support feature generation and ML workflows.
• Make design tradeoffs for batch vs streaming and scalable data models.
• Work with cross-functional partners to define interfaces and deliver end-to-end solutions.
• Identify process improvements and anticipate roadblocks in advance.
• Proactively navigate business-unit processes to deliver tasks successfully.

Skills

Python

SQL

Scala

Java

Snowflake

Databricks

S3

Postgres

Redis

Airflow

Kafka

Pulsar

Spark

Docker

Kubernetes

Terraform

Data modeling

Observability

Tools

Docker

Kubernetes

Terraform

Job 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.

Our 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.

With 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!

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.

Compensation Range: €55K - €68K