Sr. Data Engineer (AWS) - (Flexible Hybrid)

Fannie Mae

3.9

(14)

Reston, VA

Why you should apply for a job to Fannie Mae:

  • 79% say women are treated fairly and equally to men
  • 71% would recommend this company to other women
  • 85% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Our diverse workforce includes 44% women — with 39% at the officer level
  • Seramount (formerly “Working Mother”) 100 Best Companies 2023
  • Flexible work environment and paid leave for life’s unpredictable moments
  • #744000023908191

    Position summary

    es 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
    Minimum Required Experiences:

    • 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 and ; written communication skills
    • Ability to work independently as well as part of an agile team (Scrum / Kanban)

    Desired Experiences:

    • Bachelor degree or equivalent
    • 4+ years experience with Big Data Hadoop clusters, AWS, and Python
    • Knowledge of Spark streaming technologies
    • Experience in working with agile development teams
    • Familiarity with Hadoop / Spark information architecture, Data Modeling, Machine Learning (ML)
    • Knowledge of Environmental, Social, and Corporate Governance (ESG)

    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

    Why you should apply for a job to Fannie Mae:

  • 79% say women are treated fairly and equally to men
  • 71% would recommend this company to other women
  • 85% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Our diverse workforce includes 44% women — with 39% at the officer level
  • Seramount (formerly “Working Mother”) 100 Best Companies 2023
  • Flexible work environment and paid leave for life’s unpredictable moments