Senior AWS Data Engineer

Reposted 9 Days Ago
Reston, VA
In-Office
121K-158K Annually
Junior
Financial Services
The Role
As a Senior AWS Data Engineer, you will develop data infrastructure, create pipelines, and ensure data accessibility while collaborating with team members.
Summary Generated by Built In

At Fannie Mae, the inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of a collaborative team thriving in an energizing environment. Here, you will grow your career and help create access to affordable housing finance.

Job Description

As a valued colleague on our team, you will contribute to developing data infrastructure and pipelines to capture, integrate, organize, and centralize data while testing and ensuring the data is readily accessible and in a usable state, including quality assurance.

THE IMPACT YOU WILL MAKE
The Senior AWS Data Engineer will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:

  • Identify customer needs and intended use of requested data in the development of database requirements and support the planning and engineering of enterprise databases.

  • Maintain comprehensive knowledge of database technologies, complex coding languages, and computer system skills.

  • Support the integration of data into readily available formats while maintaining existing structures and govern their use according to business requirements.

  • Analyze new data sources and monitor the performance, scalability, and security of data.

  • Create an initial analysis and deliver the user interface (UI) to the customer to enable further analysis.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experiences:

  • 2+ years with Big Data Hadoop cluster (HDFS, Yarn, Hive, MapReduce frameworks), Spark, AWS EMR

  • 2+ years of recent experience with building and deploying applications in AWS (S3, Hive, Glue, AWS Batch, Dynamo DB, Redshift, AWS EMR,  Cloudwatch, RDS, Lambda, SNS, SWS etc.)

  • 2+ years of Python, SQL, SparkSQL, PySpark

  • Excellent problem-solving skills and strong verbal & written communication skills

  • Ability to work independently as well as part of an agile team (Scrum / Kanban)

Desired Experiences:

  • Bachelor degree or equivalent

  • Knowledge of Spark streaming technologies 

  • Experience in working with agile development teams

  • Familiarity with Hadoop / Spark information architecture, Data Modeling, Machine Learning (ML)

Skills

  • Skilled in cloud technologies and cloud computing

  • Programming including coding, debugging, and using relevant programming languages

  • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data

  • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB

  • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica

  • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere

  • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal

  • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.

Tools

  • Skilled in AWS Analytics such as Athena, EMR, or Glue

  • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora

  • Skilled in SQL

  • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS

  • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms

  • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager

  • Skilled in Python object-oriented programming

Enterprise Data - Data Engineering- Senior Associate

Target Salary Range: $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.

For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as 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, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need 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 will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here.

Requisition compensation:

121000

to

158000

Top Skills

AWS
Aws Athena
Aws Aurora
Aws Beanstalk
Aws Cloudtrail
Aws Cloudwatch
Aws Ec2
Aws Ecs
Aws Emr
Aws Glue
Aws Lambda
Aws Neptune
Aws Rds
Aws Redshift
Aws Systems Manager
Big Data
Hadoop
Informatica
MongoDB
MySQL
Oracle Data Mining
Pyspark
Python
Spark
Sparksql
SQL
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The Company
Herndon, VA
10,886 Employees
Year Founded: 1938

What We Do

Fannie Mae serves the people who house America. We are a leading source of financing for mortgage lenders, providing access to affordable mortgage financing in all markets at all times. Our financing makes sustainable homeownership and workforce rental housing a reality for millions of Americans. We also help make possible the popular 30-year, fixed-rate mortgage, which provides homeowners with stable, predictable mortgage payments over the life of the loan. Our tools and resources help homebuyers, homeowners, and renters understand their housing options.

We put our customers and partners at the center of everything we do. We apply our experience and expertise to deliver innovative solutions to help our customers succeed. At Fannie Mae, our people pour their hearts into everything they do. Because we know it makes a real difference in others’ lives. We are committed to moving forward with our partners to build a stronger, safer, more efficient housing finance system.

Join us to help shape the future of housing: http://fanniemae.com/careers.

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