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Data Engineer
2 months ago
Serves as a key member of our team, responsible for building, operating, and maintaining high-performance services for our platforms and products.
Key Responsibilities- Build and maintain enterprise data integration pipelines using Python, Java, and Bash.
- Improve existing systems and processes to increase efficiency and reduce manual operations.
- Work closely with engineers to advocate and participate in systems design, ensuring seamless integration and scalability.
- Diagnose, resolve, and prevent production issues, providing timely and effective solutions.
- Handle support and operations of software, including monitoring and alerting, configuration management, upgrades, and rollout of new products.
- Perform migrations to the latest infrastructure types, ensuring smooth transitions and minimal downtime.
- Debug, improve, and optimize services and infrastructure, reducing manual operations and automating processes, runbooks, and workflows.
- BS in Computer Science / Engineering (or related career field).
- 3+ years of experience with Software Production Engineering and Data Engineering.
- Proficiency with Amazon Web Services, on-premises servers, Python, Java, Bash, Puppet, Typescript/Java Script, Red Hat Enterprise Linux, Prometheus, Grafana, Oracle, Postgres, Cassandra, and Elasticsearch.
- Experience with DoD 8570 IAT Level 1 Certification (Sec+, CISSP, etc.) and DoD 8570 Computing Environment Certification (Linux+, Redhat Certified System Administrator, COMPTIA Server+).
- Active DoD Top-Secret Clearance with CI Polygraph.
- 401(k) matching.
- Dental insurance.
- Employee assistance program.
- Flexible schedule.
- Health insurance.
- Health savings account.
- Life insurance.
- Parental leave.
- Professional development assistance.
- Referral program.
- Relocation assistance.
- Retirement plan.
- Tuition reimbursement.
- Vision insurance.
Monday to Friday, in-person work environment.