Senior Software Engineer-ADM Team
New York, NY

Job Description

Adaptive Management is a SaaS company building a unified ecosystem for leveraging data. Our cloud-based platform, DataMonster™, enables companies to interface with thousands of data providers to quickly find answers from data. Our team includes former financial investors, NSA cryptology and applied mathematics experts, and Silicon Valley software veterans. Adaptive Management is headquartered in Manhattan, New York City.

This is an exciting time to get in on the ground-floor of a well-funded and fast-growing startup that is solving complex problems and setting the standard for how data is found, visualized, and ultimately used. We have revenue, a healthy sales pipeline, and a clear pathway to the next funding round. If you are looking to join a highly talented and passionate team of software engineers, data scientists and business leaders then reach out to us at careers@adaptivemgmt.com or apply now.

THE ROLE

We have relationships with hundreds of vendors in the alternative data space and this number will only continue to grow. We are seeking a Senior Data Engineer to leverage industry best-practices to spearhead the design, creation and management of our data warehouse and all related extraction, transformation and loading of partner data.

The Senior Software Engineer will play a critical role in leading the review, interpretation, and on-boarding of new data sets. They will be adept at designing and implementing data management frameworks/ETL processes and will possess a deep technical knowledge and skillset.

We are a well-funded startup offering full benefits and competitive compensation. The position will be full-time. We are a startup but prioritize work/life balance.

RESPONSIBILITIES

* Understand the big-picture view of the company's data landscape and longer-term goals in order to develop and implement innovative Big Data architectures on AWS
* Govern ETL Best Practices & Standards
* Learn key vendor data sets and become proficient with extracting data from them
* Build ETL mechanisms to onboard vendor data and publish it via existing channel
* Develop database and API representation strategies that reflect the needs of our end users
* Design quality checks to ensure the highest level of data quality and accuracy; finding root causes of potential issues and outliers when needed
* Develop target data models including data policies for sensitive data assets, security policies, back-up, and recovery specifications
* Help implement data strategy, data governance processes, and maintenance of business definitions, policies and glossaries for data assets
* Support quality processes that ensure that the data is timely and correct as well as serve as the steward of data sets across vendors

REQUIREMENTS

* Bachelor's degree or higher in Computer Science or a related discipline
* 10+ years of Systems Engineering Experience
* 5+ years of design and implementation of custom data warehouse solutions
* Experience working in cloud environments (AWS, GCP, Azure)
* Hands-on development mentality with a willingness to solve complex problems
* Strong communication skills; ability to simplify complex designs for developers to code
* Experience working on an Agile scrum team a plus
* Experience in a startup environment a plus