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Data Engineer

Who we are is what we do.

Deel and our family of growing companies are made up of global teams dedicated to helping businesses hire anyone, anywhere, easily. 

The team comprises over three thousand self-driven individuals spanning over 100 countries, and our unified yet diverse culture keeps us continually learning and innovating the platform and products for customers.

Companies should be able to hire the best talent anywhere in the world, so we are building the best platform to make that a reality. Our market-leading technology, expertise, and global team are crucial to the platform’s success. We deliver the best products and features in our space, enabling millions of jobs worldwide and connecting the global workforce with the best companies and opportunities.

Why should you be part of our success story?

A 30-mile hiring radius should no longer dictate how companies hire because exceptional talent lives everywhere. Deel sees a world without hiring borders and endless talent that pairs perfect candidates with great companies.

We offer global teams all the tools they need to hire, onboard, manage, pay, and scale at full speed. We aim to foster a diverse global economy by building a generational platform that seamlessly connects companies with talent worldwide.

After our successful Series D in 2021, we raised another $50M in 2023, doubling our valuation to $12B. There’s never been a more exciting time to join Deel — the international payroll and compliance market leader.

The Team

The Data Platform team at Deel is dedicated to enhancing data quality, optimizing pipeline performance, building robust platform tools, and managing costs across the entire data stack—from ingestion to outbound integrations and everything in between. As a Data Engineer on this team, you’ll play a critical role in shaping the future of Deel’s data infrastructure, ensuring it scales effectively with 30+ Analytics Engineers and 100+ data professionals embedded across the organization.

Our team collaborates cross-functionally with analysts, analytics engineers, data scientists, software engineers, and leadership to achieve these goals.

Your Role as a Data Engineer

As a Data Engineer on the Data Platform team, you will:

  • Design, implement, and manage scalable and efficient data pipelines using tools like Snowflake, Airflow, dbt, and Fivetran. Experience with similar technologies is also valued as we continuously evolve our stack.

  • Collaborate with cross-functional teams to understand data requirements and deliver solutions that align with business needs.

  • Implement and enforce robust data governance policies to maintain data integrity, quality, and security.

  • Develop and maintain ELT processes to extract, load, and transform data from diverse sources into the data warehouse in both batch and streaming fashion.

  • Optimize SQL queries to enhance data analysis and reporting.

  • Partner with data analysts, data scientists, analytics engineers, and stakeholders to understand data workflows and provide technical support.

  • Diagnose and resolve data-related issues promptly.

  • Build a cutting-edge development environment and CI/CD system to ensure scalability and efficiency.

  • Ingest data from various external systems via APIs.

  • Stay informed on industry trends and emerging technologies to drive continuous improvement in data engineering practices.

Qualifications

  • Experience: Minimum 3 years as a Data Engineer or in a similar role.

  • Technical Skills: Strong proficiency in Python and SQL; experience with Golang or JVM-based languages is a plus.

  • Data Warehousing: Hands-on experience with cloud-based data warehouses.

  • Data Modeling: Proficiency in designing efficient database schemas.

  • Workflow Orchestration: Familiarity with tools like Apache Airflow.

  • Data Streaming: Experience with data streaming and Change Data Capture (CDC).

  • Infrastructure: Proficiency in Terraform and GitHub Actions.

  • Compliance: Experience in setting up PII anonymization and RBAC.

  • Collaboration: Strong ability to work with cross-functional teams and communicate technical concepts to non-technical stakeholders.

  • Problem-Solving: Excellent analytical skills with a keen attention to detail.

Preferred Skills

  • Kubernetes: Experience with Kubernetes is a plus.

  • Data Warehouse Administration: Prior experience managing data warehouses is advantageous.

  • Regulatory Compliance: Familiarity with GDPR or similar data privacy regulations is beneficial.

Join us in building a world-class data platform that drives actionable insights and scales with Deel’s rapidly growing business.

Total Rewards

Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all. 

Some things you’ll enjoy

  • Provided computer equipment tailored to your role

  • Stock grant opportunities dependent on your role, employment status and location

  • Additional perks and benefits based on your employment status and country

  • The flexibility of remote work, including WeWork access where available

At Deel, we’re an equal-opportunity employer that values diversity and positively encourage applications from suitably qualified and eligible candidates regardless of  race, religion, sex, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, pregnancy or maternity or other applicable legally protected characteristics.

Unless otherwise agreed, we will communicate with job applicants using Deel-specific emails, which include @deel.com and other acquired company emails like @payspace.com and @paygroup.com. You can view the most up-to-date job listings at Deel by visiting our careers page.

Deel is an equal-opportunity employer and is committed to cultivating a diverse and inclusive workplace that reflects different abilities, backgrounds, beliefs, experiences, identities and perspectives.

Deel will provide accommodation on request throughout the recruitment, selection and assessment process for applicants with disabilities. If you require accommodation, please inform our Talent Acquisition Team at recruiting@deel.com of the nature of the accommodation that you may require, to ensure your equal participation.

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What You Should Know About Data Engineer , Deel

At Deel, we're on a mission to redefine hiring on a global scale, and we're looking for a passionate Data Engineer to join our Data Platform team. As part of a company that has grown to over 3,000 team members across 100 countries, your work will play a crucial role in enhancing our data infrastructure. In this position, you will design, implement, and maintain scalable data pipelines that serve our diverse clientele, utilizing cutting-edge tools like Snowflake, Airflow, dbt, and Fivetran. You'll collaborate closely with analysts, data scientists, and software engineers to ensure our data solutions are aligned with business needs. A significant part of your role includes developing ETL processes and optimizing SQL queries to support data analysis and reporting. We value your experience with cloud-based data warehouses and data modeling, as well as your familiarity with workflow orchestration tools such as Apache Airflow. We also appreciate technical prowess in Python and SQL, with bonus points for experience in other programming languages. If you thrive in collaborative environments where problem-solving and innovation are key, you will fit right in with our team. Join us as we build a world-class data platform that empowers organizations to connect with talent globally and drive actionable insights through high-quality data.

Frequently Asked Questions (FAQs) for Data Engineer Role at Deel
What are the main responsibilities of a Data Engineer at Deel?

As a Data Engineer at Deel, your primary responsibilities will include designing and managing efficient data pipelines, collaborating with cross-functional teams to gather data requirements, and implementing robust data governance policies. You'll also develop and maintain ELT processes, optimize SQL queries, and stay up to date with industry trends in data engineering.

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What qualifications do I need to apply for the Data Engineer position at Deel?

To apply for the Data Engineer position at Deel, you should have a minimum of 3 years of experience in data engineering or similar roles. Key qualifications include strong proficiency in Python and SQL, experience with cloud-based data warehouses, and familiarity with data modeling and workflow orchestration tools like Apache Airflow.

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How does Deel support Data Engineers in their role?

Deel supports Data Engineers by providing access to cutting-edge technologies and collaborative environments where team members can share knowledge and best practices. You will have the opportunity to work with a diverse group of more than 100 data professionals and receive the necessary resources to excel in your role.

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What tools will I use as a Data Engineer at Deel?

As a Data Engineer at Deel, you will work with a variety of tools, including Snowflake for data warehousing, Airflow for workflow orchestration, dbt for data transformation, and Fivetran for data integration. Experience with these tools will be highly beneficial, as you will be responsible for building scalable data pipelines.

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What is the team culture like for Data Engineers at Deel?

The culture for Data Engineers at Deel is collaborative and innovative, with a strong emphasis on continuous learning. You'll be part of a diverse team that values open communication, making it easy to exchange ideas and collaborate effectively on projects.

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Common Interview Questions for Data Engineer
Can you describe your experience with building data pipelines?

When answering this question, highlight specific projects where you designed and implemented data pipelines. Mention the tools you used, the challenges you faced, and how you overcame them to ensure data accuracy and efficiency in the process.

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How do you ensure the data quality and integrity in your projects?

Discuss specific strategies you use for maintaining data quality, such as implementing data validation techniques, performing regular audits, and leveraging automation tools to monitor data integrity. Share examples of how you've addressed issues in the past.

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What programming languages are you proficient in and how have you used them in data engineering?

Be prepared to discuss your experience with programming languages, particularly Python and SQL. Provide examples of how you've leveraged these languages to solve problems, enhance data transformation processes, or improve pipeline performance.

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Explain your experience working with cloud-based data warehouses.

In your response, outline your experience with specific cloud-based data warehouse platforms, such as Snowflake. Explain how you’ve designed schemas, optimized storage costs, or improved query performance in your previous roles.

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What challenges have you faced when working with data streaming technologies?

Share specific challenges you've encountered with data streaming, such as latency issues or data quality concerns. Discuss the solutions you implemented to address these challenges and the impact those solutions had on your team’s results.

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How do you prioritize tasks when working on multiple data projects?

Discuss your approach to project management, including how you assess project urgency and importance. You may want to mention tools you use for task tracking and how you communicate priorities with your team.

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Can you provide an example of a complex SQL query you have written?

Prepare to describe a complex SQL query you've written in detail. Highlight the purpose of the query, the challenges you faced, and how you optimized it for performance or readability.

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What experience do you have with Change Data Capture (CDC)?

Explain your knowledge and experience with CDC methodologies, including how you have implemented them in past projects. Discuss the tools you’ve used and how CDC has improved data workflow.

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How do you stay current with emerging technologies in data engineering?

Share your methods for staying informed about the latest data engineering trends, such as attending industry conferences, participating in online communities, or taking relevant courses. Mention how this ongoing education has influenced your work.

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What practices do you follow for documentation in data projects?

Outline your approach to documentation, emphasizing its importance in ensuring clarity and consistency in data projects. Provide examples of how thorough documentation has positively impacted team collaboration and project outcomes.

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Deel is an American payroll and compliance provider founded in 2019 by Alex Bouaziz, Shuo Wang, and Ofer Simon. The company is based in San Francisco, California and has reported having 2,000 employees in January 2023.

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Badge Diversity ChampionBadge Flexible CultureBadge Innovator
CULTURE VALUES
Inclusive & Diverse
Collaboration over Competition
Fast-Paced
Growth & Learning
Empathetic
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
December 31, 2024

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