Data Engineer II

United States Digital Space LLC; Deutschland; Remote; EUR 55.000 - 68.000; Vollzeit

Benefits dieser Stelle

Equity

Private Medical Insurance

Life Insurance

Meal Allowance

Balance Days

Annual Leave 22 days

Sabbatical

Laptop Setup

Teleworking Allowance

Zusammenfassung

United States Digital Space LLC is seeking a Data Engineer II to build reliable data pipelines powering customer-facing analytics and ML foundations.

You will collaborate across engineering, product, data science, and infrastructure to deliver scalable, observable systems while evolving ingestion, activation, analytics, and ML data workflows. You will contribute to data quality and feature workflows in a highly remote, distributed environment.

Qualifikationen

• 3+ years of data engineering or related platform roles.
• Experience building and operating production data pipelines at scale.
• Proficiency in Python and SQL; familiarity with Scala or Java.
• Experience with Snowflake, AWS, Databricks, Postgres, Redis.
• Knowledge of batch/streaming data systems and data modeling.

Aufgaben

• Build and operate components of the 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 experimentation workflows.
• Balance batch and streaming data patterns for scalable systems.
• Work with cross-functional teams to define interfaces and deliver end-to-end solutions.
• Identify process improvements and navigate blockers with business knowledge.
• Proactively anticipate roadblocks and coordinate with stakeholders.

Kenntnisse

Python

SQL

Scala/Java

Tools

Snowflake

Databricks

S3

Postgres

Redis

AWS

Kafka

Pulsar

Spark

Terraform

Docker

Kubernetes

Jobbeschreibung

the company 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 the company 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, the company 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 the company, 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 the company 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.*