Jobgether

Compensation

Full Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer in the United States. This role offers the opportunity to shape the next generation of a high-impact data platform. You will design, build, and operate scalable data pipelines and analytics systems that empower internal teams and support customer-facing products. The ideal candidate thrives in distributed system design, platform reliability, and cloud-native development, while collaborating closely across engineering teams. You will implement data ingestion, transformation, and modeling workflows using modern tools and technologies, ensuring high performance, reliability, and observability. This is a hands-on role where your work directly influences product capabilities and internal analytics. Strong problem-solving, organization, and communication skills are essential for success in this dynamic, fast-paced environment. \n Accountabilities: Design, develop, and maintain scalable data platform components for ingestion, transformation, and analytics. Build and operate containerized services using Docker, Kubernetes (EKS), and Helm. Provision and manage cloud infrastructure using Terraform and AWS services such as S3, DynamoDB, Lambda, and Glue. Build and scale data pipelines using tools such as Airbyte, Rudderstack, Kafka, and DBT with Snowflake. Develop real-time analytics datasets in ClickHouse to support high-concurrency workloads. Implement CI/CD workflows with GitHub Actions and ensure robust observability using Datadog. Collaborate with production engineering teams to align platform infrastructure with broader engineering standards. Apply data governance and quality best practices across pipelines and platform components. Requirements: Strong software engineering foundation with experience operating production infrastructure. Proficiency in SQL and Python programming. Hands-on experience with Docker, Kubernetes (EKS), Helm, and cloud provisioning with Terraform. Deep knowledge of AWS services (S3, DynamoDB, Lambda, Glue). Experience with data warehousing and modeling in Snowflake, including DBT transformations. Familiarity with data ingestion tools (Airbyte, Rudderstack), messaging systems (Kafka), and high-performance analytics databases (ClickHouse). Experience with CI/CD pipelines (GitHub Actions) and monitoring/observability tools like Datadog. Strong troubleshooting skills for complex distributed systems. Excellent written communication and documentation skills. High organizational ability and effective collaboration across engineering teams. Understanding of data governance and data quality practices. Benefits: Competitive full-time salary plus bonus and equity eligibility. Comprehensive medical, dental, and vision coverage (company-paid for employee and family). 401(k) plan with 6% company match. Flexible paid time off (PTO) and wellness perks. Fitness and mental health resources. Opportunities for leadership growth, collaboration days, and in-office events. \n 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 three 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