DATA ENGINEER - 2025-ENC-ST-000392
Kruger NearShore LLC - Rekluti Open · verified Oct 24, 2026 At a glance
Mid-level Data Engineering role at Kruger NearShore LLC - Rekluti. Remote, Dominican Republic · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build cloud-based data lakes designed to handle growing data needs
- Create ETL or ELT workflows, with Airflow as a preferred option
- Use DBT and warehouse models to produce reliable metrics
- Set up streaming data processes with Kafka or Google Pub/Sub
- Optimize complex SQL queries that run across large datasets
What you bring
- At least five years creating cloud data lakes that can scale
- Advanced coding ability in Python or Java
- Practical ETL or ELT pipeline development experience
- Strong DBT and warehouse modeling skills for metrics work
- Experience with streaming and big-data tools, including Kafka, Spark or another listed platform
Who this fits
This remote, mid-level role is based in Santo Domingo, Dominican Republic. It suits someone experienced in cloud data lakes, pipelines, modeling and large-scale data processing.
From the employer
Are you passionate about building scalable data solutions in the cloud? We’re looking for a Data Engineer with strong programming skills and hands-on experience with modern data tools to help us develop high-quality metrics, pipelines, and real-time processing systems.
📌 What You'll Bring
✅ 5+ years of experience in designing and building scalable data lakes in cloud environments.
✅ Advanced programming skills in Python or Java.
✅ Proven experience in ETL/ELT pipeline development, ideally with Airflow.
✅ Expertise in DBT and data warehouse modeling for metrics development.
✅ Solid experience working with real-time data streaming tools like Kafka or Google Pub/Sub.
✅ Hands-on experience with big data processing tools, such as Hadoop, Spark, or their GCP equivalents (e.g., Dataproc, Dataflow). ✅Advanced SQL skills – you know how to write and optimize complex queries across large datasets.
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data EngineeringRemote
Find me workBy the team behind dataroles.