Client Introduction In this role, you will collaborate closely with one of our esteemed clients—a globally recognized leader in their industry, distinguished by their commitment to excellence, innovation, and delivering exceptional value. As a trusted IT
Position: Senior Data Engineer Location: REMOTE Experience: 5+ years About the Role: We are looking for a Senior Data Engineer with strong hands-on experience in Apache Spark, Scala, and Java , coupled with a solid understanding of microservices architecture .
Insight Global is seeking an experienced Analytics Engineer / Data Engineer to support a large-scale data transformation and enablement initiative. This individual will serve as a key bridge between source systems and reporting teams, helping ensure data accuracy, consistency, and accessibility
Role: Data Engineer L3 Experience: 7+ years Work-mode: Remote Employement type: Full-time Budget: 38 LPA Role description: We are looking for a highly skilled Data Engineer (L3) with strong expertise in Python, data ingestion pipelines and marketing data systems, particularly with the
Role: Senior Data Operations Engineer Position Type: Full-Time Contract (40hrs/week) Contract Duration: 12 months+ (With a Possibility-of-Extension) Work Schedule : 8 hours/day (Mon-Fri) Work Hours: 3:30am - 12:30pm EST Location : 100% Remote We are seeking a Senior
Only apply if you can start ASAP - Start Date September 21 Only apply if you are comfortable with a Contract to Hire role (6-month contract; after that it will convert to Full-Time Permanent) Data Engineer – Microsoft
About Vericence Vericence is a digital engineering and technology consulting firm helping enterprises build AI-driven platforms, modernize legacy systems, and scale innovation through cloud, data, and intelligent engineering. We partner with global organizations to deliver high-impact technology
Development of data processes for the automated ongoing generation of patient level data (the “data product”) to be used by various business stakeholders for a variety of purposes (e.g. dashboards, reports, studies). Downstream manipulation of datasets after their onboarding
Role : Data Engineer I (Remote) Location : Remote (Work from Anywhere) Role Overview: We are hiring for one of our clients, seeking a Data Engineer to work on a Full-Time basis. The role focuses on building and optimizing data pipelines
WE’RE HIRING | GCP TEST ENGINEER | 8+ YEARS Are you an expert in testing cloud-based data pipelines on GCP? We’re looking for a strong GCP Test Engineer who can validate complex data pipelines, perform deep data quality checks, and troubleshoot
Senior Data Engineer | Global Enterprise Opportunity We are hiring Senior Data Engineers for enterprise-scale cloud data engineering and modernization initiatives with leading global organizations. The role offers an opportunity to work on modern data platforms, large-scale data environments, and complex cloud transformation
Design, implement Azure data solutions Migrations to Azure using services such as Data Factory, Synapse, Databricks, Function App, and ADLS Migrate legacy SSIS packages to Azure cloud Integrate data from multiple sources using Python, SQL, Databricks, and data pipelines Qualifications
What? Just seeking some good talent! Where? At BrightEdge, we innovate at the intersection of AI, SEO, and enterprise growth. We’re not just shaping the future of enterprise SEO and content performance; we’re also redefining how
Employment Type: Contract Shift timings: Night shift Remote work- offshore • Data Engineers with Informatica Experience • Offshore coverage - will be upto 2 pm PST • We need consultants with good communication skills. • Who take end
About Kagool We are a fast-growing IT consultancy specialising in the transformation of complex Global enterprises. We are looking for passionate and hardworking individuals that to help deliver for our global customer base. We embrace the
Data Engineer – Databricks Job Overview We are looking for an experienced Data Engineer with strong expertise in Databricks to design, develop, and optimize scalable data pipelines and modern data platforms. The ideal candidate will have hands-on experience with big data technologies, cloud
Responsibilities Own and evolve the enterprise data architecture supporting operational, analytical, and AI workloads Design scalable data platforms for transactional databases, analytical data warehouses/lakehouses, and AI/ML data pipelines Define data models, integration standards, metadata management, and data lifecycle strategies Establish best practices
Big Data Engineer – AI Training & Data Engineering Experience: 3–8 Years Job Type: Contractor Location: Remote Compensation: $30–$80/hour Domain: Big Data | Data Engineering | AI Training Role Overview We are looking for experienced Big Data Engineers to contribute to an AI
This is a 12 weeks duration engagement. overlap work with US time zone We are looking for experienced Data Engineers with 5+ years of experience, to join a 12-week engagement focused on building and supporting modern data engineering solutions.
About Andela Andela exists to connect brilliance and opportunity. Since 2014, we have been dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world. For technologists,