Data engineer

Iterable, Inc.; United States; Hybrid; USD 62,000 - 76,000; Full time

Benefits offered by this job

Private Medical Insurance

Meal Allowance

Balance Days

Annual Leave

Sabbatical

Laptop Provided

Teleworking Allowance

Job summary

Iterable, Inc. ищет инженера данных для разработки и эксплуатации конвейеров в Лиссабоне. Вы будете работать с Python, SQL, Snowflake и Databricks, проектировать качественные пайплайны и обеспечивать масштабируемость и надежность.

Требуется 3+ лет опыта, владение английским и готовность к работе в ЕС. Предоставляется гибридная/удаленная работа и поддержка инфраструктуры через Terraform и Airflow.

Qualifications

• 3+ года опыта в data engineering/инфраструктуре
• Опыт построения Production data pipelines и ETL/ELT
• Умение работать с Python и SQL, знание Scala/Java приветствуется

Responsibilities

• Строить и поддерживать компоненты конвейеров данных, включая источники, трансформации и синхронизацию
• Повышать надежность пайплайнов через мониторинг, алерты и retry
• Сопровождение Snowflake- и облачных пайплайнов, участие в проектировании моделей данных
• Сотрудничество с командами data science, frontend, platform и SRE для End-to-End решений
• Участвовать в эксплуатации и поддержке инфраструктуры к разрастанию систем

Skills

Python

SQL

Distributed systems

Cloud data tooling

Tools

Snowflake

S3

Databricks

Postgres

Redis

Kafka

Pulsar

Airflow

Terraform

Job description

Описание:

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.

Задачи:

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.

Требования:

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. Будет плюсом: 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

Условия:

• 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).