Data Engineer at Divergent3d

Divergent is a technology company that has revolutionized manufacturing through the Divergent Adaptive Production System, or DAPS. This end-to-end factory system utilizes machine learning to engineer, additively manufacture, and assemble complex vehicle structures. As a Tier 1 supplier to global automotive OEMs, we are currently expanding our operations to address mission-critical needs within the aerospace and defense sectors. We are seeking a highly motivated Senior Data Engineer to join our dynamic team and help us scale our data infrastructure.

Key outcomes

• Design, develop, and maintain robust data pipelines and ETL processes to move information from various sources into our data warehouse and lakehouse.
• Optimize the performance and scalability of our data pipelines to meet growing organizational needs.
• Implement rigorous data quality checks and monitoring systems to ensure the integrity and accuracy of our data.
• Create and manage data integration tools that allow stakeholders across the company to access information seamlessly.
• Collaborate with cross-functional teams to integrate with third-party systems, including Jira, Splunk, Oracle, MES, and ERP platforms.
• Establish software development best practices to ensure high-quality code, effective testing, and timely deployments.
• Partner with data scientists and analysts to support their specific data requirements and facilitate machine learning and business intelligence initiatives.

Requirements

• A Bachelor’s or Master’s degree in computer science, mathematics, data science, data engineering, computational science, software engineering, or a related field.
• At least 5 years of professional experience in software development and data engineering.
• Proven expertise in ETL, data pipeline development, and data integration techniques.
• Strong proficiency in SQL and relational databases, as well as programming languages such as Python, Java, or Scala.
• Familiarity with data warehousing and lakehouse architectures using tools like AWS Redshift, Google BigQuery, or Snowflake.
• Excellent problem-solving skills and the ability to manage multiple complex projects simultaneously.
• Strong communication skills and a demonstrated ability to work effectively within cross-functional teams.

Preferred qualifications

• Practical experience with Big Data technologies, including Hadoop, Spark, and NoSQL databases.

Compensation

We offer a holistic compensation package designed to reward your contributions. This includes a competitive salary, equity participation, and discretionary results-based incentive bonuses. Our comprehensive benefits include:

• Medical, dental, and vision insurance with both HMO and Premium PPO options.
• Life insurance and short-term and long-term disability coverage.
• Paid time off, including vacation, sick leave, company holidays, and a year-end shutdown.
• Paid parental leave to support growing families.
• Professional development opportunities, including tuition reimbursement for learning initiatives.
• Flexible work hours within our collaborative, on-site environment.

How to apply

If you are passionate about data engineering and want to make a significant impact at a mission-driven company, we invite you to submit your application. Please note that we are not accepting inquiries from agencies or solicitations at this time. We look forward to reviewing your qualifications.