Data Engineer
Solvd · Remote · Colombia · Ukraine · Poland · Brazil · Argentina · Georgia ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote
- AWS + Spark
- 3+ years experience
- Risk & Compliance focus
- Global team
You will architect and implement scalable data systems that transform complex datasets into actionable insights for enterprise clients. Working with cross-functional teams, you will enable reliable, high-quality data solutions while supporting large-scale risk and compliance workloads.
The role requires strong technical depth in distributed systems and cloud services. You will partner with data scientists and engineers to deliver robust datasets and contribute to strategic decision-making through automated, repeatable data processes.
What you'll do
- Design and optimize scalable data infrastructure for risk workloads
- Develop batch and streaming pipelines using big data technologies
- Implement ETL and ELT workflows for structured and unstructured data
- Build high-throughput systems on AWS for real-time decision making
- Translate business requirements into technical data specifications
- Mentor team members and establish reusable data frameworks
- Automate manual reporting and data preparation processes
What you'll need
- Bachelor’s degree in Computer Science, Engineering, or Mathematics
- 3+ years of hands-on experience in data engineering
- Strong proficiency in SQL and data modeling for warehousing
- Experience building scalable ETL or ELT pipelines
- Knowledge of Hadoop, Hive, Spark, HBase, or EMR
- Understanding of distributed systems and storage principles
- Basic scripting skills in Python or Scala
- Familiarity with machine learning concepts
Nice to have
- Experience with AWS services like Redshift, Glue, and Kinesis
- Work with non-relational stores such as document or graph DBs
- Background in risk, compliance, or analytics teams
- Strong understanding of data governance and security best practices
Stack
- SQL
- Python
- Scala
- AWS
- EMR
- Redshift
- S3
- Glue
- Lambda
- Kinesis
- Hadoop
- Hive
- Spark
- HBase
How you'll work
- Fully remote position
- Global team collaboration across continents
What you get
- Inclusive environment prioritizing continuous learning
- Equal opportunities for global collaboration
- Work on AI-driven projects across key industries