Data Engineer

Oxylabs; Harding Township (NJ); On-site; USD 45,000 - 65,000; Full time

Benefits offered by this job

Private health insurance

Gym access

Team events

Workation program

Job summary

Oxylabs is looking for a Data Engineer to build and maintain scalable data pipelines, ensuring data quality and timeliness across the platform. You will design robust data models, integrate diverse data sources, and develop internal tools to automate workflows using Python.

The role requires hands-on work with Google Cloud or AWS, Airflow, and a strong DataOps mindset. Collaboration with cross‑functional teams will be key to delivering scalable solutions in a fast-paced environment.

Qualifications

• Proficiency in Python and SQL for data engineering tasks.
• Experience with cloud platforms (GCP or AWS).
• Familiarity with DataOps, Git, Terraform, Docker, Kubernetes, and CI/CD.
• Strong data modeling and data warehousing understanding.
• Excellent communication, ownership, and detail orientation.

Responsibilities

• Build and maintain scalable data pipelines across batch and real-time data.
• Design robust data models and integrate diverse data sources.
• Develop internal tools and automate workflows using Python.
• Collaborate with cross-functional teams to translate business needs into solutions.
• Ensure data quality and system reliability.

Skills

Python

Google Cloud

AWS

Airflow

SQL

Data modeling

Git

Terraform

Docker

Kubernetes

CI/CD

Tools

Airflow

Git

Terraform

Docker

Kubernetes

Job description

**The team waiting for you:**

As our **Data Engineer**, you will be responsible for tackling a diverse and challenging range of problems to help us make better business decisions at Oxylabs.io. In this role, you will focus on making data (internal/external, structured/unstructured, batch/real-time, etc.) accessible across Oxylabs.io while ensuring its accuracy and timeliness. You will design, build, and maintain data pipelines, and you'll also have the opportunity to develop various internal tools. This is an excellent opportunity for an analytical thinker who thrives in a fast-paced environment, enjoys hands-on technical work, and is eager to learn new technologies.

In this role, you will:

• Architect and maintain robust data models by conducting thorough analysis of our complex data ecosystem to define clear relationships between data sources.


• Engineer and optimize scalable, high-performance data pipelines using Google Cloud Platform and Airflow.


• Translate complex business logic into efficient transformations while maintaining rigorous standards for data quality and system reliability.


• Develop internal applications, automations, and reverse ETLs using Python.


• Collaborate with cross-functional teams to identify automation opportunities and translate business challenges into scalable technical solutions.

Your skills & experiences:

• Proficiency in at least one programming language, ideally Python.


• Experience with cloud infrastructure (ideally Google Cloud or AWS).


• Knowledge of best DataOps practices and tools including version control systems (e.g., Git), Terraform, Docker, Kubernetes, and CI/CD.


• Excellent SQL knowledge and understanding of data modelling/data warehousing principles.


• Structured mindset approach to problem solving, clear and concise communication, high degree of ownership, keen eye for detail and troubleshooting.


• Fluency in English and Lithuanian, written and spoken.

Nice to have:

• Familiarity with agent frameworks (e.g., LangChain, Claude Agent SDK, Google ADK) or workflow automation tools (e.g., n8n.io).


• Experience with event streaming platforms, such as Kafka or Redpanda.


• Proficiency in ClickHouse and other OLAP databases.


• A technical aptitude and comfort with engineering-related discussions.

Salary & Benefits:

• Gross salary **:** 3500 - 5000 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competencies.


• Growth & Learning: 40 internal learning options, external conferences, mentorship, and year-round knowledge-sharing.


• Health & Well-being: Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app.


• Celebration & Community: Team events, an overseas workation, quarterly team-building budgets, and plenty of ways to mark milestones together.


• Plus bonus vacation days, paid life-moment days off, barista coffee, and all the tools you need. See the full list of benefits here: https://career.oxylabs.io/blog/our-work-benefits/.