Software Engineer, Data Engineering - job 1 of 2
Skills
- Strong SQL and NoSQL database experience (e.g., MongoDB, Cassandra)
- Experience with data warehousing (e.g., Redshift, BigQuery)
- Proficiency in Python, Java, or Scala for data engineering
- Experience with big data frameworks (e.g., Hadoop, Spark)
- Familiarity with cloud platforms (AWS, Azure, or GCP)
- Experience optimizing performance for large-scale, real-time data flows
- Excellent collaboration and communication skills
- Eligible to obtain and maintain a U.S. Secret security clearance
Responsibilities
- Design and implement high-performance data access layers to handle massive datasets and enable efficient retrieval and processing
- Design, implement, and maintain scalable databases for high-speed, high-throughput operations
- Integrate data from PLM, ERP, MES and other enterprise systems to ensure a unified digital thread
- Monitor and optimize performance of data access layers and databases for real-time workloads
- Collaborate with software engineers, data scientists, and manufacturing technologists to support applications and analytics
- Write and maintain comprehensive documentation for data access layers, databases, and integration processes
Education
- Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or related technical field
- Or equivalent combination of education and relevant work experience
Benefits
- Comprehensive medical, dental, and vision plans (US roles)
- Life and disability income protection
- Generous PTO and caregiver/wellness leave, holiday hiatus in December
- Family planning and parenting support, including fertility and adoption coverage
- 24/7 mental health resources and wellness services
- Annual professional development reimbursement
- Commuter benefits and potential relocation assistance
- Retirement savings plan (401(k) options for US roles) and equity grants for full-time employees
Average salary estimate
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