Are you passionate about building scalable data systems while leveraging machine learning for cutting-edge insights?
Join our remote team as a Data Engineer and turn raw data into actionable predictions—all from wherever you work best!
Your Mission: Day to Day Responsibilities Design, build, and maintain scalable data pipelines and ETL processes.
Develop and optimize robust data storage solutions, including databases and data warehouses.
Ensure high data quality and consistency across various sources.
Collaborate with data scientists and analysts to support analytics, modeling, and forecasting initiatives.
Integrate machine learning models, including forecasting models, into production workflows.
Troubleshoot and resolve data-related issues, enhancing performance and reliability.
Your Toolbox: Skills to be Successful Education: Bachelor's degree in Computer Science, Engineering, or related field Master's preferred.
Experience: 2-4 years in data engineering or a related role, with experience implementing machine learning forecasting models.
Technical Skills: Proficient in SQL and programming languages (Python, Java, or Scala).
Tools Technologies: Skilled with Hadoop, Spark, AWS Redshift, and other data management platforms.
Statistical Training: Background in statistics or relevant statistical training.
Knowledge Base: Familiar with data warehousing, database design, data modeling, and schema development.
Your Perks: What's in it for you Working completely remote Location independence Great opportunity to grow You'll be joining a high-level and fast-paced team, working with exciting businesses and projects Why Adaptive Teams?
At Adaptive Teams, we don't just fill positions – we create pathways to success.
Whether you're a seasoned pro or just starting out, we're here to help you grow, innovate, and make an impact.
If you're looking for exciting opportunities and, a team that's as passionate as you are, this is the place to be.
What to Expect from Our Application Process?
Once you apply, you'll receive an email guiding you through the next steps, including an assessment tailored to the role.
After that, we'll ask you a few brief questions about your experiences and work style—this is your opportunity to showcase what makes you unique and how you approach challenges.
Be sure to check your inbox (and your spam folder , just in case) for further instructions.
We understand your time is valuable , so we strive to keep the assessments under 45 minutes whenever possible, though some roles may require a slightly longer time investment.
Once selected, you'll have the chance to schedule an interview with our team.
We aim to make the process as smooth and transparent as possible, so you'll always know where you stand.