Software Engineer, Data Engineering
Skills
- Proficiency with relational and NoSQL databases (e.g., SQL, MongoDB, Cassandra)
- Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery)
- Strong data architecture and modeling skills
- Proficiency in data engineering languages (Python, Java, Scala)
- Experience with big data frameworks (Hadoop, Spark)
- Familiarity with cloud platforms and services (AWS, Azure, GCP)
- Strong problem-solving, collaboration, and communication skills
- Eligible to obtain and maintain an active U.S. Secret security clearance
Responsibilities
- Design and implement high-performance data access layers for large-scale datasets.
- Design, deploy, and maintain scalable databases for high-throughput production use.
- Integrate data from business systems such as PLM, ERP, and MES to ensure a reliable enterprise data flow.
- Monitor and optimize performance of data access layers, databases, and pipelines for real-time needs.
- Collaborate with software engineers, data scientists, and manufacturing technologists to support applications and analytics.
- Write and maintain comprehensive documentation for data architectures, integrations, and operational procedures.
- Ensure systems are resilient, auditable, and meet security/clearance requirements.
Education
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field, or equivalent practical experience
- Advanced degree (Masters) preferred but not required
Benefits
- Comprehensive medical, dental, and vision plans (US roles)
- Company-covered life and disability insurance
- Generous PTO with year-end holiday hiatus and caregiver/wellness leave
- Family planning and parenting support (IVF, adoption, preservation)
- 24/7 mental health resources and life coaching
- Annual professional development reimbursement
- Commuter benefits and relocation assistance (role-dependent)
- Retirement savings plans (401k options for US roles) and equity grants for full-time offers
Average salary estimate
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