Location: USA, LATAM & Europe | Remote
Employment Type: Contractor, Full-time
Build Scalable Data Platforms That Power Business
At Uvik Software, we build dedicated development teams and deliver high-quality software solutions to clients worldwide. We value strong engineering, collaboration, ownership, and modern technologies.
We’re looking for an experienced Middle+/Senior Data Engineer to join a long-term data platform project focused on building, maintaining, and optimizing scalable data pipelines, data warehouses, and cloud-based data platforms for high-load business environments.
The ideal candidate has strong hands-on experience with Python, SQL, Spark/PySpark, AWS, and modern ETL/ELT pipelines. Experience with technologies such as Databricks, Snowflake, BigQuery, dbt, Airflow, Kafka/Kinesis, and Terraform will be a strong advantage.
About the Role
As a Data Engineer, you’ll work on modern cloud-based data infrastructure and help build reliable, scalable solutions for processing and managing large volumes of data.
You’ll be involved in the full data engineering lifecycle — from data ingestion and transformation to storage, optimization, monitoring, and delivery — while collaborating with engineering, analytics, BI, and data science teams.
What You’ll Do
- Design, build, and maintain scalable batch and near-real-time data pipelines
- Develop and optimize ETL/ELT workflows using Python, SQL, Spark/PySpark, Airflow, dbt, or similar technologies
- Work with cloud-based data platforms and services, with a strong focus on AWS
- Build and support data lakes, lakehouse architectures, and data warehouses
- Integrate data from APIs, databases, SaaS platforms, files, and streaming/event-based sources
- Optimize data processing performance, query execution, partitioning strategies, and storage costs
- Ensure data quality, reliability, monitoring, logging, and validation across pipelines
- Collaborate with engineers, analysts, BI teams, data scientists, and business stakeholders
- Support data modeling, technical documentation, and data dictionary creation where required
- Contribute to CI/CD, infrastructure automation, and cloud data platform improvements
What We’re Looking For
- 3–5+ years of experience in Data Engineering or closely related roles
- Strong hands-on experience with Python, SQL, and Spark/PySpark
- Experience building and maintaining production-grade ETL/ELT pipelines
- Strong understanding of data warehouses, data lakes, lakehouse architectures, and data modeling
- Experience with AWS data services, such as S3, Glue, Lambda, Athena, EMR, Redshift, Firehose, Kinesis, SQS, or EventBridge
- Experience with orchestration and transformation tools such as Airflow, dbt, Prefect, Dagster, or similar
- Experience with at least one modern data platform, such as Databricks, Snowflake, BigQuery, Redshift, or similar
- Understanding of data quality, monitoring, observability, and performance optimization
- Experience with Git, CI/CD, Docker, Terraform, AWS CDK, or other DevOps/IaC tools
- Ability to work independently, communicate clearly, and take ownership of delivery
- English: Upper-Intermediate (B2) or higher
- Based in the USA, LATAM, or Europe
Nice to Have
- Experience with Kafka, Kinesis, Pub/Sub, or other streaming and event-driven technologies
- Experience with Delta Lake, Apache Iceberg, Hudi, or other lakehouse table formats
- Experience with Kubernetes
- Experience working with high-load products or domains such as fintech, healthcare, telecom, eCommerce, SaaS, or data-intensive analytics platforms
- Experience with BI and reporting tools such as Tableau, Looker, Metabase, Power BI, or similar
- Exposure to AI/ML or LLM-related data workflows
- Experience with GCP or Azure data services
What We Offer
- Paid vacation and sick leave
- Equipment for comfortable work, if required
- 50% coverage of professional courses to support your professional growth
- Competitive compensation depending on your skills and experience
- Reliable, always-on-time payments
- A supportive international team without unnecessary bureaucracy
- 100% remote, full-time cooperation
Join Uvik Software
If you enjoy designing scalable data solutions, working with modern cloud technologies, and solving complex data engineering challenges, we’d love to hear from you.
Apply now and become part of Uvik Software’s globally distributed engineering team.
