Jobgether

Compensation

Full Description

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. · Competitive salary range: $113,800 – $176,400 annually, plus eligibility for corporate bonus programs and stock options. · Comprehensive medical, dental, vision, life, and disability benefits, including access to health advocacy and virtual care services. · HDHP medical plan with employer contributions to HSA. · 401(k) retirement plan with employer matching contributions. · Open Time Off policy, accrued sick and safe time, generous holiday schedule with floating holidays. · Paid parental leave. · Subsidized commuter benefits programs. · Virtual access to coaching, self-care activities, therapy, and psychiatry resources. · Volunteer day per year. 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