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Data Engineer III (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Data Engineer III. in the . United States. .. We are seeking a highly skilled Data Engineer III to architect, design, and implement advanced cloud-native data solutions that enable strategic insights across the organization. In this role, you will take ownership of complex data engineering initiatives, build scalable and high-performance data pipelines, and lead technical decisions for enterprise data platforms. You will collaborate closely with cross-functional teams, including product, analytics, and operations, to translate business requirements into actionable data solutions. The ideal candidate is a proactive, self-directed technical leader with expertise in AWS, Databricks, and modern data engineering frameworks, who thrives in fast-paced, evolving environments. This position offers the opportunity to mentor junior engineers, drive innovation, and make a measurable impact on organizational decision-making and performance.. Accountabilities:. ·         Architect, develop, and maintain enterprise-scale data pipelines handling large volumes of data with high reliability and performance.. ·         Design and optimize data models and data warehouses, applying advanced optimization strategies for query performance and accessibility.. ·         Implement complex data integration solutions connecting diverse systems, including CRM, telephony, and internal applications.. ·         Develop and optimize Databricks workflows, Spark jobs, and Delta Lake architectures for large-scale data processing.. ·         Ensure data quality, integrity, and compliance through advanced validation, monitoring, and testing frameworks.. ·         Collaborate with executive stakeholders and cross-functional teams to align technical solutions with business objectives.. ·         Lead technical initiatives, mentor junior team members, and promote engineering excellence across data engineering projects.. ·         Research emerging technologies and make recommendations to evolve the enterprise data platform.. ·         5+ years of professional data engineering experience, with demonstrated progression in technical leadership roles.. ·         BS or MS in Computer Science, Data Science, or a related field.. ·         Expert-level proficiency in Python, with experience building enterprise-scale data processing applications.. ·         Advanced expertise with Databricks, including Delta Lake, Spark SQL, and workflow orchestration.. ·         Deep knowledge of AWS data services (RedShift, S3, Glue, Lambda, RDS, DynamoDB).. ·         Strong experience designing and implementing large-scale data warehousing solutions and complex ETL/ELT pipelines.. ·         Expert-level SQL skills with experience in advanced query optimization and performance tuning.. ·         Experience with modern data processing frameworks such as Apache Spark, Airflow, or similar tools.. ·         Strong understanding of data modeling, dimensional modeling, and performance tuning techniques.. ·         Experience working in Agile environments with CI/CD practices.. ·         Exceptional problem-solving, analytical, and communication skills, with the ability to convey technical concepts to non-technical stakeholders.. ·         Self-directed, innovative, and resilient in fast-paced, evolving environments.. Company Location: United States.