Cloud Data Engineer
Remote
Applications have closed
Sustainment
Save time and mitigate risk with the first supplier relationship platform built for the manufacturing industry.Company Overview: Sustainment is a software platform that intelligently connects the fragmented ecosystem of small to mid-sized American suppliers, with their enterprise customers, to enable agile supply chain networks. Our software enables US-based manufacturers to find and engage with the critical suppliers they need to build secure, resilient, domestic supplier networks. Sustainment is a mission-driven business that is organized as a Public Benefit Corporation in support of American manufacturers.
We recently raised our Series A financing, led by Unless.
Job Overview: Our Cloud Data Engineer focuses on designing, developing, and implementing cloud native data solutions for various products and to enable data-driven decision-making. You will be responsible for technical tasks involved in planning, architecting, migrating, monitoring, and managing a company’s cloud infrastructure and systems. Combining and centralizing corporate data to create consistent and machine-readable formats in order to gain insights, knowledge, and scalability that empowers a proactive and rigorous analysis of key business indicators. Our mission is to derive wisdom from data via the application of Data Science while developing, and testing architectures that enable data extraction and transformation for predictive or prescriptive modeling.
Responsibilities:
- Collect, transform and publish data to be used for insights
- Designing, building, and operationalizing data processing systems and pipelines
- Ensure data quality and efficiency
- Design and maintain database systems
- Integrate distributed systems into a single source of truth
- Analyzing raw data
- Transform different forms of data into a usable format
- Operationalizing machine learning models
- Conducting systems monitoring across cloud infrastructures
- Identifying, creating, preparing data required for modern BI solutions
- Creating and documenting the tests to meet requirements
Requirements:
- Bachelor's or Master’s degree in computer science, engineering, mathematics or a similar analytical field.
- 3+ years of experience in data engineering and cloud engineering, preferably AWS
- Good knowledge of relational databases or NoSQL databases like MongoDB, DynamoDB
- Technical expertise with data models, data mining, and segmentation techniques
- Good understanding of data lakes and data warehousing
- Good understanding of ETL tools like AWS Glue, AWS Data Pipeline
- Open mindset, ability to quickly adapt new technologies and learn new practice
Bonus Skills:
- Experience with Kubernetes or other orchestration tools
- Experience with cloud platform technologies, preferably AWS
- Process oriented with an emphasis on documentation
Sustainment offers a competitive benefits package including medical, dental, vision, paid time off, company holidays, and 401K matching.
Sustainment is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class.
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS AWS Glue Computer Science Data Mining Data quality Data Warehousing Distributed Systems DynamoDB Engineering ETL Kubernetes Machine Learning Mathematics ML models MongoDB NoSQL Pipelines RDBMS Testing
Perks/benefits: Career development Health care
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