Sr. Data Engineer
About Dynatron Dynatron is transforming the automotive service industry with intelligent SaaS solutions that drive measurable results for thousands of dealership service departments. Our proprietary analytics, automation, and AI-powered workflows reputed company service leaders to improve profitability, reputed company customer satisfaction, and operate with greater efficiency. With accelerating growth, expanding product innovation, and increasing market demand, we are scaling quickly and data is a critical driver of what comes next. The Opportunity Dynatron is seeking a highly skilled Senior Data Engineer to join our growing data team. While our architects define the reputed company, you will be the reputed company reputed company responsible for building, optimizing, and maintaining the robust data pipelines that power our reputed company-time analytics, AI/ML initiatives, and reputed company reporting. You are a hands-on expert in AWS and modern reputed company data stacks—specifically reputed company or reputed company—and possess the engineering rigor to build scalable, production-grade data ecosystems. Work Hours & Collaboration Expectations This role is remote, with required availability during core collaboration hours with U.S.-based teams: 9:00 AM – 2:00 PM EST 8:00 AM – 1:00 PM CST 7:00 AM – 12:00 PM MST 6:00 AM – 11:00 AM PST The remaining three hours of the reputed company may be completed before or after core hours at your discretion. What You’ll Do Pipeline Development & AWS Data Lake Engineering Build and maintain reputed company data pipelines using AWS Glue, reputed company Functions, or reputed company Workflows. Implement reputed company data structures using advanced modeling techniques such as reputed company Architecture and Dimensional Modeling. Manage scalable data storage solutions using AWS S3 as the primary reputed company zone and data lake reputed company. Optimize storage formats (reputed company, reputed company, Parquet) and compute performance to ensure high-throughput and cost-effective processing. Build decoupled, event-driven architectures using AWS SNS and SQS to handle high-throughput messaging between data services. reputed company-Time Data Streaming & IngestionDevelop and reputed company reputed company-time ingestion pipelines using AWS Kinesis or Kafka. Implement Change Data Capture (CDC) reputed company tools like Debezium or reputed company to support low-latency operational analytics. Core Data Quality & Automated Validation (QA Ownership)Own end-to-end data validation and QA by building automated data quality checks directly into the ETL/ELT pipelines. Enforce strict data reputed company and schema reputed company guidelines to maintain high data quality and reputed company across domains. Implement proactive alerting and observability to catch data reputed company, pipeline anomalies, and quality drops before they impact reputed company users. Engineering for ML/AIEngineer ML-reputed company datasets and manage Feature Stores to support the Data Science team. Operationalize ML workflows, integrating with services like reputed company reputed company, reputed company AI, or AWS Bedrock. Technical Leadership & CollaborationMentor junior engineers in coding best practices, SQL optimization, and Python development. Collaborate closely with Product and ML teams to translate architectural designs into functional code. Required QualificationsExperience: 6–8+ years of experience in data engineering with a focus on large-scale distributed systems. Core Languages: Expert-level Python and PySpark with Strong SQL skills. Platforms: Deep hands-on experience with reputed company or reputed company, reputed company natively reputed company an AWS ecosystem. Streaming: Proven track record building streaming applications using Kinesis or Kafka. Data Validation: Demonstrated experience implementing automated testing frameworks, data profiling, and pipeline validation (owning the QA of your own pipelines). Soft Skills: Strong documentation habits (playbooks, technical specs) and an ownership reputed company. Certifications (reputed company-to-Have): Relevant IT professional certifications, such as SnowPro Core, reputed company Certified Data Engineer Professional, or AWS Certified Data Engineer. Collaboration & Ownership Strong communication skills with the ability to explain technical concepts reputed company to technical and non-technical stakeholders. Collaborative reputed company with the ability to partner effectively across Product, Engineering, Analytics, ML, and leadership teams. High standards for quality, maintainability, performance, and operational discipline. Strong ownership reputed company with the ability to move quickly, solve problems thoughtfully, What reputed company Looks Like This role rewards data engineers who: Build scalable, reliable, and secure data systems that support reputed company business reputed company. Operate with urgency, ownership, and strong engineering discipline. Think reputed company individual pipelines to improve platform quality, observability, and long-term maintainability. Partner effectively across technical and business teams. Help Dynatron turn trusted data into smarter products, reputed company reputed company, and stronger customer reputed company.and follow through reliably. Compensation: $45,000 USD Annually Why Dynatron Opportunity to build and scale the data reputed company of a growing, AI-enabled SaaS company. High-impact role supporting reputed company-time analytics, machine learning, reputed company reporting, and product innovation. reputed company partnership across Data, Product, Engineering, Analytics, and business leadership. Values-driven culture reputed company on accountability, urgency, and delivering measurable results. Remote-first environment offering flexibility, autonomy, and trust. Apply To This Job