Data Engineer

At Company, a dynamic and expanding technology agency based in New York City, we're growing our team to support international client projects focused primarily on the U.S. market. We operate under a dedicated proxy working model, enabling our engineers to work as embedded team members directly with overseas clients. This unique setup offers you direct exposure to U.S.-based projects, industry standards, and professional work culture. We're looking for a highly committed and responsible Data Engineer passionate about designing and delivering scalable, high-quality data solutions. Join our team to build robust data systems for global clients while collaborating closely with U.S. teams and benefiting from structured technical support from our internal leadership. This role is an excellent opportunity to gain real-world experience in the U.S. job market, enhance your cross-border collaboration skills, and contribute to impactful international projects—all within a stable and supportive environment. Key Responsibilities Design, develop, and maintain robust data pipelines and architectures that enable efficient, scalable data processing across multiple platforms. Transform and prepare raw data for analytical and operational use by leveraging ETL tools and scripting languages, ensuring data accuracy and consistency. Collaborate effectively with cross-functional teams including data scientists, analysts, and product managers to define data requirements and improve overall data quality. Implement optimized data models and storage solutions tailored to operational needs, improving query performance and data accessibility. Monitor and optimize existing data pipelines to enhance performance, scalability, and reliability, reducing downtime and latency. Participate actively in code reviews and uphold coding standards to maintain high-quality, maintainable codebases. Stay current with emerging trends and technologies in data engineering to continuously improve processes and tools. What We're Looking For Required: Bachelor's Degree in Computer Science, Information Technology, or a related field. Strong proficiency in SQL for database management, complex queries, and data manipulation. Experience with Python and relevant libraries (e.g., Pandas, NumPy) for data processing and automation. Familiarity with data warehousing concepts and tools such as Snowflake, Redshift, or BigQuery. Understanding of ETL/ELT processes and hands-on experience with tools like Apache Airflow or similar. Excellent problem-solving skills and ability to work collaboratively in a cross-cultural team environment. Preferred: Experience with cloud platforms such as AWS, GCP, or Azure, particularly their data services. Knowledge of containerization and orchestration tools like Docker and Kubernetes. Familiarity with data governance, security best practices, and compliance standards. Strong communication skills with a proactive attitude towards continuous learning and career development. What We Offer Competitive salary aligned with New York City market standards. Comprehensive health insurance package including medical, dental, and vision coverage. Paid time off to support work-life balance and personal well-being. Retirement plan options to help you plan for your future. Professional development opportunities including training, certifications, and mentorship programs. Collaborative and supportive team culture that values innovation and growth. Frequently Asked Questions Is this position remote? This role is on-site in New York City to facilitate close collaboration with U.S.-based teams and clients. What level of experience is required? We seek candidates with at least 2 years of relevant data engineering experience, though motivated professionals eager to grow are encouraged to apply. What technologies will I work with? You will primarily work with SQL, Python, ETL tools, and cloud data platforms such as AWS or GCP. Are there opportunities for career advancement? Yes, we