
51 - 200 employees
🎯 Recruiter
☁️ SaaS
Recruitment • IT Services • SaaS
aKUBE is a recruitment firm that specializes in connecting top-tier IT professionals with innovative companies. They emphasize a quality-focused approach to recruiting, ensuring a perfect match between candidates and company values. By leveraging advanced technology and a refined process, aKUBE streamlines staffing solutions that align with client timelines while offering services like contract staffing, direct hire placements, and payroll management. Their commitment to performance and client partnerships positions aKUBE as a trusted partner in achieving business success through tailored staffing solutions.
🕒 September 12, 2025
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
🎯 Recruiter
☁️ SaaS
Recruitment • IT Services • SaaS
aKUBE is a recruitment firm that specializes in connecting top-tier IT professionals with innovative companies. They emphasize a quality-focused approach to recruiting, ensuring a perfect match between candidates and company values. By leveraging advanced technology and a refined process, aKUBE streamlines staffing solutions that align with client timelines while offering services like contract staffing, direct hire placements, and payroll management. Their commitment to performance and client partnerships positions aKUBE as a trusted partner in achieving business success through tailored staffing solutions.
• Design, build, and optimize large-scale data pipelines and warehousing solutions • Develop ETL workflows in Big Data environments across cloud, on-prem, or hybrid setups • Collaborate with Data Product Managers, Architects, and Engineers to deliver scalable and reliable data solutions • Define data models and frameworks for data warehouses and marts supporting analytics and audience engagement • Maintain strong documentation practices for data governance and quality standards • Ensure solutions meet SLAs, operational efficiency, and support analytics/data science teams • Contribute to Agile/Scrum processes and continuously drive team improvements
• 6+ years of experience in data engineering with large, distributed data systems • Strong SQL expertise and experience with MPP databases (Snowflake, Redshift, or BigQuery) • Expertise in Big Data engineering pipelines • Hands-on experience with Apache Spark (PySpark, Scala) and Hadoop ecosystem (HDFS, Hive, Presto) • Proficiency in Python, Scala, or Java • Experience with cloud environments (AWS – S3, EMR, EC2) • Experience with orchestration/ETL tools such as Airflow • Data warehousing and data modeling knowledge • Familiarity with Agile methodologies • Bachelor’s degree in STEM required • Work authorization: Green Card, US Citizen, or valid EADs (except OPT, CPT; H1B not accepted) • No C2C, 1099, or subcontractors; W2 only
• Remote work
Apply Now🕒 August 28, 2025
201 - 500
🏢 Enterprise
☁️ SaaS
🤖 Artificial Intelligence
Design and operate Azure Data Factory and Databricks pipelines for cloud data platform. Integrate Oracle and PostgreSQL sources, implement data quality and monitoring.
Azure
Cloud
ETL
Oracle
Postgres
PySpark
Scala
Spark
SQL
🕒 August 16, 2025
Mid/Senior Data Engineer migrates PostgreSQL/MySQL to MongoDB and builds ingestion pipelines; remote U.S.-based, 6-month contract.
AWS
MongoDB
MySQL
Node.js
NoSQL
Postgres
Python
SQL
🕒 August 15, 2025
Data Engineer at Curotec focusing on AWS and MongoDB migration; remote US-based six-month contract.
AWS
MongoDB
MySQL
Node.js
NoSQL
Postgres
Python
SQL
🕒 June 16, 2025
Data Engineer designing and executing reliable data migration solutions in a remote role. Collaborate closely with stakeholders on data integrity and ETL processes for scientific applications.
AWS
Azure
Cloud
ETL
MySQL
Postgres