FANNIE MAE
Overview
Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home. Job Description As a valued colleague in our Chief Data Office team, you will contribute to developing Cloud data infrastructure and pipelines to capture, integrate, organize, and centralize data while testing and ensuring the data is readily accessible in a usable state, including quality assurance. In addition, you will help develop/implement new software on the Cloud, or migrate existing processes on prem to the Cloud. Responsibilities
Design and develop moderately complex software solutions to meet needs. Use a process-driven approach in designing and developing solutions. Implement new software technology and participate in end-to-end tasks across the team. Analyze new data sources and monitor the performance, scalability, and security of data. Independently and as part of a team, determine the needs of the customer and create solution frameworks. Experience and Qualifications
Minimum Required Experiences: 2 years 2+ years hands-on experience with TIBCO Business Works Desired Experiences: Bachelor degree in computer science or equivalent AWS and/or CISSP Certifications 4+ years of AWS cloud-based technology services experience Skills
Proficiency in Amazon Web Services (AWS) architecture and technologies such as Python, S3, Redshift, Postgres, Glue (catalog and ETL), EMR, Lambda, Step Functions, SQS/SNS, and ECS Strong experience in data engineering, data warehousing, data security and ETL processes Strong experience in Python object-oriented programming Knowledge of programming languages and tools such as Python, Java, Spring, Angular, SQL, and Shell scripting Experience creating and using APIs for developing software Strong SQL experience Strong analytical and problem-solving skills Good communication and collaboration skills Ability to drive code reviews and ensure alignment with user stories and architecture patterns Skilled at presenting information clearly to an audience Ability to identify causes of operating errors and take corrective action Skilled in performance tuning and working with large data sets Self-starter capable of learning new technologies and meeting responsibilities within required timeframes Adept at managing tasks to ensure on-schedule project completion Desired Skills and Tools
Experience with API Gateway, UNIX, JSON, PARQUET, XML, Docker, Urban Code, Jenkins, GitLab, Terraform, Oracle Experience with AWS Management and Governance tools such as CloudTrail, CloudWatch, Systems Manager JavaScript XML Experience using JIRA Experience with data modeling, data architecture, and data governance Experience in Agile ceremonies and practices Role Details
Enterprise Data - Software Engineering - Senior Associate Target Salary: 121,000 to 158,000 a year #LI-Hybrid Qualifications
Education: Bachelor’s Level Degree (Required) The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers. Note: For most roles, employees are expected to work onsite regularly at their designated office location. In-office cadence is determined by your manager. Proximity within a reasonable commute is preferred unless the job is open to remote. Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment. If you need assistance using our online system or a reasonable accommodation related to the hiring/application process, please complete this form. The hiring range for this role is set forth below. Final salaries vary within that range based on factors including skill set, depth of experience, certifications, and other relevant qualifications. This position may participate in a Fannie Mae incentive program. See benefits information for details.
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Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home. Job Description As a valued colleague in our Chief Data Office team, you will contribute to developing Cloud data infrastructure and pipelines to capture, integrate, organize, and centralize data while testing and ensuring the data is readily accessible in a usable state, including quality assurance. In addition, you will help develop/implement new software on the Cloud, or migrate existing processes on prem to the Cloud. Responsibilities
Design and develop moderately complex software solutions to meet needs. Use a process-driven approach in designing and developing solutions. Implement new software technology and participate in end-to-end tasks across the team. Analyze new data sources and monitor the performance, scalability, and security of data. Independently and as part of a team, determine the needs of the customer and create solution frameworks. Experience and Qualifications
Minimum Required Experiences: 2 years 2+ years hands-on experience with TIBCO Business Works Desired Experiences: Bachelor degree in computer science or equivalent AWS and/or CISSP Certifications 4+ years of AWS cloud-based technology services experience Skills
Proficiency in Amazon Web Services (AWS) architecture and technologies such as Python, S3, Redshift, Postgres, Glue (catalog and ETL), EMR, Lambda, Step Functions, SQS/SNS, and ECS Strong experience in data engineering, data warehousing, data security and ETL processes Strong experience in Python object-oriented programming Knowledge of programming languages and tools such as Python, Java, Spring, Angular, SQL, and Shell scripting Experience creating and using APIs for developing software Strong SQL experience Strong analytical and problem-solving skills Good communication and collaboration skills Ability to drive code reviews and ensure alignment with user stories and architecture patterns Skilled at presenting information clearly to an audience Ability to identify causes of operating errors and take corrective action Skilled in performance tuning and working with large data sets Self-starter capable of learning new technologies and meeting responsibilities within required timeframes Adept at managing tasks to ensure on-schedule project completion Desired Skills and Tools
Experience with API Gateway, UNIX, JSON, PARQUET, XML, Docker, Urban Code, Jenkins, GitLab, Terraform, Oracle Experience with AWS Management and Governance tools such as CloudTrail, CloudWatch, Systems Manager JavaScript XML Experience using JIRA Experience with data modeling, data architecture, and data governance Experience in Agile ceremonies and practices Role Details
Enterprise Data - Software Engineering - Senior Associate Target Salary: 121,000 to 158,000 a year #LI-Hybrid Qualifications
Education: Bachelor’s Level Degree (Required) The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers. Note: For most roles, employees are expected to work onsite regularly at their designated office location. In-office cadence is determined by your manager. Proximity within a reasonable commute is preferred unless the job is open to remote. Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment. If you need assistance using our online system or a reasonable accommodation related to the hiring/application process, please complete this form. The hiring range for this role is set forth below. Final salaries vary within that range based on factors including skill set, depth of experience, certifications, and other relevant qualifications. This position may participate in a Fannie Mae incentive program. See benefits information for details.
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