Senior Data Engineer (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer in the United States. This role offers the opportunity to design, implement, and maintain large-scale data infrastructure supporting global analytics and business intelligence initiatives. The Senior Data Engineer will develop robust ETL pipelines, cloud-native solutions, and data processing frameworks while ensuring accuracy, consistency, and scalability across diverse data platforms. Working collaboratively with cross-functional teams, the role emphasizes mentorship, technical leadership, and innovation in data solutions. The position is fully remote with flexible hours, allowing the engineer to contribute from anywhere while collaborating with global teams. Ideal candidates thrive in fast-paced environments, enjoy solving complex data challenges, and are motivated to improve data accessibility and quality across the organization. Accountabilities · Design, develop, and maintain high-performance data pipelines for Data Lake and Data Warehouse solutions. · Implement ETL frameworks and enforce best practices to improve code quality, maintainability, and reliability. · Develop cloud-native automation routines, data schemas, and workflows to support predictive and prescriptive analytics. · Ensure the accuracy, consistency, and validation of all data processing and reporting activities. · Collaborate with business analysts, technical teams, and stakeholders to communicate technical solutions clearly. · Mentor and guide junior data engineers, acting as a technical owner of key parts of the data platform. · Support the adoption of DevOps practices and containerized, cloud-based deployment processes. · 7+ years of professional experience, with 5+ years in data engineering, business intelligence, or similar roles. · Expert knowledge of Python and SQL. · 5+ years of experience with ETL orchestration and workflow management tools (e.g., Airflow, Flink) on AWS or GCP. · 3+ years of experience with distributed data processing tools (Spark, Presto) and streaming technologies (Kafka, Flink). · 3+ years of experience with big data platforms such as Snowflake and cloud service providers (AWS preferred). · Expertise with containerization and orchestration technologies, including Kubernetes. · MS in Computer Science, Software Engineering, or a related field preferred (BS acceptable). · Experience with DevOps practices, cloud-native design, and data validation methodologies. · Strong communication, collaboration, and mentoring skills to guide technical teams effectively. · Competitive annual salary: $190,000 – $200,000. · Fully remote work with flexible hours and no office attendance requirements. · Comprehensive health, dental, and vision coverage. · Paid time off and holidays. · Professional development opportunities and support for skill growth. · Collaborative, inclusive, and innovative work environment. · Opportunities to work on cutting-edge data engineering projects with global impact. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1