Senior Data Engineer

Summary

Join Dynatron Software as a Senior Data Engineer and become a critical part of our team, ensuring the success of our SaaS and DaaS product portfolio. This 100% remote role requires expertise in Snowflake, data pipeline development, and data warehouse management. You will be responsible for maintaining data quality and collaborating with cross-functional teams. Success in this role demands extensive experience with various technologies and a commitment to excellence. In return, you'll receive excellent benefits, including health insurance, stock options, flexible scheduling, professional development opportunities, and paid time off.

Requirements

• Be an Absolute Expert with Snowflake, establishing data architecture, developing data pipelines and administration of the platform
• Be Expert in creating data pipelines using Python and SQL
• Have Experience with ETL/ELT platforms such as Airbyte and No-Code/Low-Code platforms
• Have Experience with Airflow/MWAA including developing DAGs and integrating with CI/CD pipeline
• Have Experience with DBT including developing models, validation, and deployment
• Have Experience with Infrastructure-as-Code platforms such as Terraform
• Have Ability to understand and support pipelines written in PHP
• Have Extensive experience with approaches to ensure data quality throughout the data pipelines and in the data warehouse and addressing data quality issues with the current architecture
• Have a Bachelor's degree in Computer Science, Engineering, or a related field
• Have 5+ years of experience in designing, implementing, and maintaining relational/data warehousing environments
• Have Excellent problem-solving skills with a strong attention to detail
• Have Ability to work both independently and as part of a team
• Have Excellent verbal and written communication skills

Responsibilities

• Ensure our data pipelines, data warehouse, and overall data quality are rock-solid and will support the company’s strategic vision around data
• Collaborate closely with cross-functional teams, including product owners, software engineers, data scientists and business stakeholders, to understand data requirements and deliver solutions that meet evolving business needs
• Lead by example, demonstrating a commitment to excellence, integrity, and professionalism in all aspects of your work

Preferred Qualifications

• Have Experience with Big Data technologies such as Hadoop, Spark, Beam, Flink, or similar technologies
• Have Experience working with MySQL databases (Vitess and sharded databases)

Benefits

• Excellent benefits including health, dental, vision, and short term disability insurance
• Stock options
• Work from home and flexible scheduling depending on job requirements
• Professional development opportunities
• 9 paid holidays
• 15 days PTO
• Home office setup support for remote employees