Job Openings Data Engineer

About the job Data Engineer


Job Opportunity: Data Engineer (Remote, Americas Time Zones)

Position Type: Full-Time Contract
Duration: 1 Year
Start Date: April 1, 2026
Location: 100% Remote (Americas time zones preferred, close to US Central Time)

About the Role

We are looking for a Data Engineer to design, build, and maintain scalable data systems that power analytics and operational platforms. You'll collaborate with cross-functional teams to develop robust data pipelines and platforms that integrate data from internal systems, third-party providers, and real-time streams.

This is a great opportunity to join a fast-growing, high-tech environment working with clients across Europe and North America.

What You'll Do

  • Design, build, and maintain scalable data pipelines and processing systems
  • Ingest and process data from APIs, internal systems, third-party platforms, and streaming sources
  • Develop batch and near real-time data pipelines
  • Build and maintain data models and data warehouse structures
  • Write efficient, reusable code for large-scale data processing
  • Collaborate with product managers and engineering teams to define data needs
  • Participate in Agile ceremonies (standups, sprint planning, retrospectives)
  • Troubleshoot and resolve production issues
  • Improve code quality, system reliability, and development practices

Who You Are

  • Analytical and detail-oriented
  • Comfortable working with large-scale data systems
  • Collaborative and team-focused
  • Curious and eager to learn new technologies
  • Strong problem-solving skills in production environments
  • Passionate about building reliable and scalable data infrastructure

Required Experience

  • 5+ years in Data Engineering or related roles
  • Strong programming skills (Python, SQL, Java, or Scala)
  • Experience building and maintaining data pipelines and orchestration systems
  • Knowledge of data warehousing (relational & dimensional modeling)
  • Experience with APIs, real-time data, and structured/semi-structured data
  • Experience handling large-scale datasets
  • Familiarity with batch and near real-time processing
  • Experience working in Agile/Scrum environments

Tech Stack

Data Processing: Python, SQL, PySpark
Pipelines & Orchestration: Apache Airflow / Amazon MWAA, AWS Glue
Cloud & Infrastructure: AWS (S3, Redshift, DynamoDB), Athena, EMR, Lambda
Data Engineering: Data Lakes, ETL pipelines, APIs, real-time ingestion

Nice to Have: Terraform, Talend, Informatica, CI/CD, TDD

Extra Points

  • Personal projects demonstrating initiative and technical skills
  • Strong communication skills (English C1 or higher required)
  • Interest in multidisciplinary and cross-functional collaboration

What We Offer

  • Competitive compensation in USD (contractor)
  • Fully remote work environment
  • Flexible and supportive culture
  • Opportunity to work with international clients
  • Growth opportunities in a fast-scaling tech company

If you're looking for a challenging environment, impactful work