Sr. Data Engineer

Location McLean
Discipline: Data Engineering
Job type: Permanent
Salary: $175000 to $190000
Contact email:
Job ref: 726849
Published: 11 days ago
About the Company:
Our client has 10,000+ employees and is one of the largest financial services companies in the U.S. by providing mortgage capital to lenders. 

About the Position:
Location: McLean, VA office
Salary: $175K-$190K and 10% bonus
  • Develop scalable and reliable data solutions to move data across systems from multiple sources in real-time as well as batch modes
  • Identify and deliver innovative and automation solutions in the areas of data engineering including technology implementations using Agile construct
  • While implementing technical solutions using modern cloud solutions support residual legacy applications
  • Understand business and establish strong relationships with partners including Product Owners and Scrum Masters
  • Quickly learn new and legacy technologies and paradigms to deploy innovative solutions
  • Apply expertise in models that demonstrate the newest data sources, technologies, and tools, such as Python, Hadoop, Spark, AWS, as well as other powerful tools and applications for Big Data
  • Support applications, including providing fixes to production defects and making enhancements
  • Quickly evaluate defects, investigate causes and come up with solutions to address defects
  • Provide production support and provide clear communication on the resolution of incidents
    • Bachelor’s degree in Computer Science or Engineering or equivalent working experience
    • 8-10 years proven experience in delivering solutions using Software Development Life Cycle
    • 5+ years experience in delivering Data Engineering solutions using AWS (S3, Glue, Athena, EMR, PySpark, Data lake), Python, Snowflake, Dev Ops, and CI/CD tools
    • 3+ years experience working with complex SQL queries and Unix environment
    • 2+ years experience working with Java (this requires 50% hands-on coding).
    • Ability to lead a team of developers and work with all the business stakeholders to successfully deliver solutions
    • Preferred Skills: Knowledge and experience working with DataStage, Informatica, and SAS