Data Developer (Python)

Company: Freddie Mac - ID:
Location: Washington, Washington DC, United States
Type: Full-time
Posted: 12.FEB.2021
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Summary

At Freddie Mac, you will do important work to build a better housing finance system and you'll be part of a team helping to make homeownersh...

Description

At Freddie Mac, you will do important work to build a better housing finance system and you'll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation. Position Overview:Are you someone who enjoys working with numbers, data, technology every day? Do you have a passion for designing and implementing technology solutions to support data driven decisions? If you are an experienced programmer interested in integrating data from multiple disparate data sources to support reporting and analytics, then this could be the perfect opportunity for you! Apply to join Freddie Mac's IT Finance department as a Data Developer.Our Impact:The Change Management and Data Analytics team within IT Finance supports a number of applications providing financial insights to IT and business leaders across Freddie Mac.Your Impact:Responsible for delivery in the areas of data engineering including technology implementationsDevelop scalable and reliable data solutions to move data across systems from multiple sources in real time as well as batch modesConstruct data staging layers and fast real-time systemsUtilize expertise in models that use the newest data sources, technologies, and tools, such as machine learning, Python, Hadoop, Spark, AWS, as well as other cutting-edge tools and applications for Big DataInvestigate the impact of new technologies, applications, and data sources to business areas supportedQuickly learn new tools and paradigms to deploy cutting edge solutionsDevelop both deployment architecture and scripts for automated system deployment in AWSCreate large scale deployments using newly researched methodologiesWork in Agile environmentQualifications:2+ years experience in Python2+ years of software development experience2+ years of Data Engineering experience using AWS (RDS, Kinesis, S3, Glue, Athena, EMR, Data lake, Snowflake) and Data Governance Solutions (Collibra and Talend)2+ years' experience in agile development environment including: Dev Ops, CI/CD, Gradle, Spinnaker, Bitbucket, GIT, Kubernetes, Docker, Jenkins)2+ years' experience in automated test frameworks (Fitnesse, Selenium, Cucumber)Bachelor's degree in Computer Science, Engineering, Data Analytics/Data Science or equivalent working experienceKeys to Success in this Role:Excellent collaborator and fantastic teammate with solid leadership skillsA spirit for innovation and ability to work in the space of "no longer" and "not yet"Ability to quickly comprehend the functions and capabilities of new technologiesA sense of humorCurrent Freddie Mac employees please apply through the internal career site.Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.We are an equal opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by applicable law. We will ensure that individuals with differing abilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit and register with our referral code: MAC.Time-type:Full timeJob Category:Information TechnologyFLSA Status:Exempt

 
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