Senior Data Engineer

🕒 July 14

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Dynatron Software, Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1999

☁️ SaaS

Automotive • SaaS • Analytics

Dynatron Software, Inc. is a company that combines advanced analytics software with expert coaching to help automotive service departments maximize their revenue opportunities. Their product suite includes various solutions like PriceSmart for optimizing labor and part pricing, FileSmart for enhancing warranty labor rates and parts markup, SellSmart for increasing service sales to existing customers, and MarketSmart for boosting service department traffic through strategic marketing campaigns. With a focus on increasing profitability, Dynatron collaborates closely with dealerships to identify and capitalize on hidden revenue streams using their proprietary analytics and extensive repair order database.

📋 Description

• Build and maintain complex data pipelines using AWS Glue, Step Functions, or Databricks Workflows. • Implement modular data structures using advanced modeling techniques. • Manage scalable data storage solutions using AWS S3 as the primary landing zone. • Optimize storage formats and compute performance to ensure high-throughput processing. • Build decoupled, event-driven architectures using AWS SNS and SQS. • Develop and deploy real-time ingestion pipelines using AWS Kinesis or Kafka. • Own end-to-end data validation and QA by building automated data quality checks. • Engineer ML-ready datasets and manage Feature Stores to support the Data Science team. • Mentor junior engineers in coding best practices, SQL optimization, and Python development.

🎯 Requirements

• 6-8+ years of experience in data engineering with a focus on large-scale distributed systems. • Expert-level Python and PySpark with Strong SQL skills. • Deep hands-on experience with Snowflake or Databricks, built natively within an AWS ecosystem. • Proven track record building streaming applications using Kinesis or Kafka. • Demonstrated experience implementing automated testing frameworks, data profiling, and pipeline validation. • Strong documentation habits and an ownership mindset. • Relevant IT professional certifications, such as SnowPro Core, Databricks Certified Data Engineer Professional, or AWS Certified Data Engineer (Nice-to-Have).

🏖️ Benefits

• Competitive base salary • Participation in Dynatron’s Equity Incentive Plan • Comprehensive health, dental, and vision insurance • Employer-paid disability and life insurance • 401(k) with competitive company match • Flexible vacation policy and 11 paid holidays • Remote-first culture • Ongoing professional development opportunities