Software Data Engineer at Divergent3d

At Divergent, we have pioneered the Divergent Adaptive Production System, or DAPS, which is an end-to-end factory system that leverages machine learning to engineer, manufacture, and assemble complex vehicle structures. As a Tier 1 supplier to global automotive OEMs, we are currently expanding our reach to support critical needs in the aerospace and defense sectors. We are looking for a motivated professional to join our team and help us continue disrupting the traditional manufacturing industry through innovation and advanced technology.

About the Role

We are seeking a Senior Software Data Engineer for a full-time, on-site position. In this role, you will be responsible for designing, developing, and maintaining the data pipelines and software solutions that power our operations. You will collaborate closely with our data science and analytics teams to ensure that data is accessible and usable for machine learning, reporting, and business intelligence initiatives.

Key Responsibilities

• Design, develop, and maintain robust ETL processes and data pipelines to move data from various sources into our data warehouse and lakehouse architectures.
• Implement rigorous data quality checks and monitoring systems to ensure the integrity and accuracy of our data.
• Collaborate with cross-functional teams to integrate third-party systems, such as Jira, Splunk, Oracle, MES, and ERP platforms, to facilitate seamless data synchronization.

Requirements

To be successful in this role, you should possess the following qualifications:

• A Bachelor’s or Master’s degree in computer science, mathematics, data science, engineering, or a related field.
• At least 5 years of professional experience in software development and data engineering.
• Strong proficiency in programming languages such as Python, Java, or Scala.
• Extensive knowledge of SQL and relational databases.
• Familiarity with data warehousing and lakehouse tools, including AWS Redshift, Google BigQuery, Snowflake, or Microsoft Fabric.
• Experience with Big Data technologies like Hadoop, Spark, and NoSQL databases is considered a strong plus.
• Excellent analytical, problem-solving, and project management skills.

Location

This position is based in the United States.

Compensation and Benefits

We offer a comprehensive package designed to support your professional growth and personal well-being. Our benefits include:

• Holistic Compensation: A competitive salary, equity plan, and discretionary results-based incentive bonuses.
• Health and Wellness: Comprehensive health benefits with HMO and Premium PPO options, plus company-sponsored life insurance and disability coverage.
• Time Off: Paid vacation, sick leave, and company holidays, including a year-end shutdown period.
• Family Support: Paid parental leave to support growing families.
• Professional Development: Reimbursement opportunities for learning and development initiatives to help you reach your peak performance.