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Sr. Data Engineer (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Sr. Data Engineer. in the . United States. .. As a Sr. Data Engineer, you will play a pivotal role in advancing the organization’s data infrastructure, working with large-scale, distributed cloud platforms that process vast amounts of structured and unstructured data. You will design, build, and optimize data pipelines that empower analytics, reporting, and business intelligence initiatives across the company. This role requires both technical excellence and strategic insight, enabling you to translate complex business requirements into scalable data solutions. You will collaborate closely with product, analytics, and software development teams to deliver high-quality, reliable, and actionable data solutions. Mentorship, problem-solving, and innovation are central to this role, as you help foster a culture of data-driven decision-making. The ideal candidate thrives in both independent and collaborative environments and has a strong passion for turning complex data challenges into clear insights.. . Accountabilities. Design, develop, and maintain scalable data systems, pipelines, and ETL frameworks that support analytics, business intelligence, and machine learning use cases.. Build sustainable data infrastructure to enable efficient collection, transformation, and analysis of large-scale data.. Collaborate with cross-functional teams—including Product Management, Data Analytics, and Software Development—to deliver reliable, high-performance data feeds and enterprise-level reports.. Ensure data quality, governance, and adherence to best practices across platforms.. Act as a problem solver and technical advisor, translating complex business needs into actionable data solutions.. Mentor and guide junior engineers, sharing knowledge and fostering technical excellence.. Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.. 5+ years of experience in data engineering, software engineering, or similar technical roles.. Experience designing and implementing scalable data architectures, including pipelines for stream and batch processing.. Proficiency in data modeling, data warehouses, and data lakehouses.. Hands-on experience with AWS (Glue, Kinesis, Lambda) and cloud-based big data technologies.. Experience building ELT pipelines using dbt and Snowflake.. Advanced SQL skills (Postgres, Snowflake) and intermediate to advanced Python programming skills.. Familiarity with software development lifecycle, data orchestration tools (Airflow), and infrastructure-as-code (Terraform).. Knowledge of analytics tools such as Tableau or Power BI.. Preferred: experience with encryption, anonymization, tokenization, CI/CD pipelines, containerization, or SaaS/technology companies.. . Company Location: United States.