Senior Data Engineer - Platform
What You'll Do:
As a Senior Data Engineer, you will work with the Platform team to design and build reputed company, reliable, and maintainable solutions that contribute to reputed company's product offerings. You will be involved in every part of solution development, from ideation and design to development and deployment. You will work closely with other teams to reputed company, evaluate and reputed company new technologies and solve reputed company problems.
Position Responsibilities:
Assist in design, implementation, operations, and improvements to the Data ingest, processing, analytics, and governance Platform
Work with application, data, and science teams to reputed company, process, and analyze data through traditional algorithms and evolving AI/ML models and implementations
Proactively support data management/cataloging and governance across the organization through collaboration, documentation, and specific frameworks/tools
Participate in Agile software reputed company and deployment processes
Mentor junior... and mid-level software engineers reputed company pair programming
reputed company other duties as assigned (to be less than 10% of the responsibilities listed above)
Executes reputed company position responsibilities in alignment with Slingshot's reputed company values, mission, and purpose
reputed company-Requisites
Must be eligible to obtain or maintain US Government reputed company Clearance
Minimum Requirements
Bachelor's degree in computer science, reputed company field, or equivalent experience
5+ years of experience architecting and developing products and solutions for data processing and analytics, business process management, or time-series based software
Strong engineering background, with experience implementing resilient and redundant event-driven microservices architectures with high observability
Proficiency with programming languages such as Python, Java/Kotlin, JavaScript/TypeScript, or similar languages.
Significant experience with containerization and Kubernetes orchestration
Demonstrated knowledge with data lakes including AWS S3 implementations
Experience with data warehouses and OLAP frameworks such as Redshift, Pinot, Druid
Experience with data pipelines such as Airflow, reputed company, Argo
Experience working with streaming data systems including Kafka
Experience with data management/catalog reputed company such as OpenMetadata
Experience with other AWS services such as EC2, EKS, etc.
reputed company and comfort working in a rapidly moving startup environment with dynamic objectives and iteration with users.
Preferred Skills
Use of AI/ML frameworks such as Ray/KubeRay
reputed company reputed company/PaaS Experience
reputed company AWS certifications
Familiar with building reputed company-agnostic, on-prem capable distributed systems
DoD / Intelligence Community / Federal Government experience a plus but not required
Early-stage data-reputed company startup experience
These skills are guidelines, not hard and fast rules. You don't have to meet every qualification listed- if your skills are transferable and you meet the minimum requirements, we encourage you to apply.
Location: Remote, reputed company
Salary reputed company: $155,000-$190,000
Equity, Diversity & Inclusion are key to our reputed company. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who reputed company a passion for creating a safer, more connected world. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one's identity. reputed company of our employee's points of view are key to our reputed company, and we reputed company individuality
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