Remote Data Engineer at Jobgether

, California, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Apr, 26

Salary

0.0

Posted On

24 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, ETL Automation, Data Pipelines, Cloud Platforms, Kubernetes, Machine Learning, ML Orchestration Tools, Infrastructure-As-Code, GitLab, Ansible, Databricks, Data Governance, Cybersecurity, System Integration, Enterprise Frameworks

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Solutions Architect - REMOTE. In this role, you will be responsible for implementing complex systems to meet the increasing demands of various stakeholders. Your expertise will help ensure that IT systems are not only efficient but also secure and compliant with industry standards. You will play a key role in the design, development, maintenance, and testing of data infrastructures, optimizing data flow and collection for cross-functional teams. Your contributions will heavily impact operational effectiveness and innovation in aligning technology capabilities with business needs. \n Accountabilities Provide enterprise-level technical design and support to leadership to align IT systems with organizational goals. Develop and maintain scalable, secure, and integrated system architectures across cloud and on-premises platforms. Bridge business needs and technology capabilities to guide complex solution development and implementation. Leverage expertise in SQL, Python, ETL automation, data pipelines, and cloud platforms (AWS, Azure). Apply best practices in system integration, data governance, cybersecurity, and enterprise frameworks (e.g., TOGAF, Zachman). Design, develop, and implement processes and systems to consolidate and analyze diverse data sets, both structured and unstructured. Build infrastructure pipelines required for optimal extraction, transformation, and loading of data from various sources. Requirements BA/BS degree in a related discipline and at least 8 years of experience in solution architecture/data engineering. Strong experience in Kubernetes orchestration for scalable deployment environments. Expertise in software development, preferably using Python. Knowledge of machine learning model deployment practices. Familiarity with ML orchestration tools (e.g., Kubeflow, MLflow, Airflow, SageMaker). Experience with infrastructure-as-code using Terraform and OpenTofu. Proficiency with GitLab for source control and DevOps workflows. Hands-on experience with Ansible for configuration management and automated provisioning. Experience with Databricks for large-scale data engineering and collaborative analytics. Benefits Flexible work schedule to support work-life balance. Comprehensive benefits package including medical, dental, and vision plans. 401(k) plan with company match. Generous paid time off including vacation, sick leave, and holidays. Support for continuous career development and internal mobility. An award-winning culture of innovation and a supportive work environment. \n 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. #LI-CL1

Responsibilities

The role involves implementing complex systems to meet stakeholder demands and ensuring IT systems are efficient, secure, and compliant. You will design, develop, maintain, and test data infrastructures to optimize data flow for cross-functional teams.