This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Remote Snowflake Data Engineer. In this role, you will be responsible for creating and managing data pipelines that support data integration and transformation processes. You will have the opportunity to work with advanced analytics tools and methodologies, contributing significantly to our data management strategies. Your expertise will help your team refine data-driven insights, enhancing overall business performance. This role requires strong collaboration with data science, operations, and engineering teams to streamline data handling and reporting. If you are passionate about data architecture and enjoy working remotely, this position is for you.
Accountabilities
Build data pipelines for various data structures
Drive automation through effective metadata management
Learn and apply modern data preparation and integration techniques
Track data consumption patterns
Monitor schema changes and recommend integration flows
Collaborate across departments to facilitate data use
Train peers on data pipelining techniques
Ensure compliance and governance during data use
Requirements
At least 8 years of IT experience and 4 years in data management disciplines
Strong experience with analytics tools using R, Python, Java, etc.
Ability to design and manage data pipelines and architectures
Experience with SQL, Blob Storage, and SAP HANA
Proficient in various data integration technologies like ETL/ELT
Strong skills in streaming technologies like Kafka
Experience with BI tools such as Tableau and Power BI
Familiarity with cloud services and containerization (Docker, Kubernetes)
Ability to prioritize tasks and manage time effectively
Strong leadership and communication skills
Benefits
Flexible work schedule and remote work options
Opportunity to work on innovative data projects
Collaborative and inclusive work environment
Professional development and training opportunities
Access to modern data tools and technologies
Health and wellness benefits
Competitive salary and performance-based bonuses
Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.