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$110,000 - $125,000 Per Year
Full Time
29 days ago
Summary of Position Fraym is seeking a mid-level data engineer to build out our data pipelines and enable data science workflows at scale. Your contributions will support decisions made in emerging markets across international development, national security, and commercial sectors. You will lead a project team responsible for implementing Fraym’s data engineering pipelines and will play a critical role in scaling our existing solutions. You will be responsible for creating new data pipelines, improving existing pipelines, and transitioning these technologies to the cloud. Additionally, you will help identify and brainstorm solutions for gaps in our data management architecture which will manage our geospatial (raster and vector) and survey data.  Preference will be given to applicants who are looking to specialize in data engineering. You should have experience in and a passion for data engineering and building cloud-based data pipelines and applications. We are looking for someone who can think of and implement creative solutions to managing diverse and unstructured data. Our team comes from a variety of backgrounds and is committed to improving access and representation in tech -- we are looking for colleagues who share this sentiment and will help promote diversity, equity, and inclusion both internally and externally. Your responsibilities will include, but are not limited to, the following: Designing ETL pipelines that ensure the quality, consistency, and availability of data used in machine learning workflows Contributing to the design and implementation of AWS-based data management systems that integrate household surveys, satellite imagery, and other spatial data Working with data scientists to create tools that simplify internal analysis and data discovery within our data lake Project-managing data engineering projects and products Collaborating with business development and client facing teams to expand data delivery options Collaborating with software engineers to deploy pipelines to the cloud Mentoring other data scientists and engineers on the Data Science team You will have the following qualifications and skills: Interest in or passionate about Fraym’s mission Commitment to Diversity, Equity, and Inclusion At least 2 years of data engineering; preference will be given to applicants with practical experience building and maintaining cloud-based data processing pipelines Essential skills: Experience with databases, Object Oriented Programming in Python, engineering best practices (testing, deployment management, containerization) Experience or ability to collaborate within a distributed team and communicate effectively with colleagues of different technical backgrounds Ability to quickly develop skills, learn new tools, and solve problems independently Bonus Points For: Experience working with raster or survey data, common AWS services, scoping tools for a tech stack, SQL/Postgres databases, columnar storage, automation and orchestration tools, and/or RESTful APIs
$110,000 - $125,000 Per Year