Senior Data Engineer

Job Title :
Senior Data Engineer
Rate: $80-83hr on Vendor W2
Duration: 12+ Months
Location:
Buena Vista, FL
- Hybrid schedule requirement of a minimum of 4 days per week onsite.

You will be responsible for planning and leading research and development related to advanced analytic data solutions, leveraging GenAI. You will work with business and technology leaders to understand scope and requirements, business needs, and data from across the company in order to design and deliver the data pipelines necessary for our solutions. You will partner with the Decision Science Products, Decision Science, and client teams on critical projects.

Other activities include planning, estimating, design, development, testing, production rollout, and sustainment activities. You will also need to consult and collaborate with project team members, lead design reviews, do hands‑on development, and communicate with colleagues and leaders.

• 7+ years overall experience in a data engineering development capacity using a multiple environments (Dev, QA, Prod, etc.) and Dev Ops procedures for code deployment/promotion
• Experience translating project scope and high-level requirements into technical data engineering tasks
• Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes
• Experience with a variety of GenAI models, tools, and concepts
• Understanding of Knowledge Graphs, Data Mesh, and other data sharing platforms
• 3+ years using, designing and building relational databases (preferably Snowflake or Postgre
  
  SQL)
• 3+ years of experience leading and deploying code using a source control product such as Git Lab/Git Hub
• 2+ years of experience with job scheduling software like Apache Airflow, Amazon MWAA, Git Lab Runners or UC4
• Experience collaborating with multiple project teams in a fast‑paced environment
• Experience with defining and estimating level‑of‑effort data engineering activities
• Experience with project and sprint planning
• Ability to communicate technical concepts and solutions to non‑technical team members
• Experience designing and building data structures to support requirements
• Multiple years of experience with ELT/ETL data pipeline development and maintenance
• Multiple years of shown experience and expertise using SQL and Python
• Experience using containerization technologies such as Docker or Kubernetes
• Knowledgeable on cloud architecture and product offerings, preferably AWS

• Experience collaborating with multiple project teams in a fast‑paced environment
• Experience with defining and estimating level‑of‑effort data engineering activities
• Experience with project and sprint planning
• Ability to communicate technical concepts and solutions to non‑technical team members
• Experience designing and building data structures to support requirements
• Multiple years of experience with ELT/ETL data pipeline development and maintenance
• Multiple years of shown experience and expertise using SQL and Python
• Experience using containerization technologies such as Docker or Kubernetes
• Knowledgeable on cloud architecture and product offerings, preferably AWS

BA/BS Degree Comp Sci/IS or related field

Interested candidates send your resume to