You are viewing a preview of this job. Log in or register to view more details about this job.

Lead Data Engineer

Job Title: Data Intelligence - Engineer, Data Lead (Hybrid)

Client: Health Care Insurance Company

Duration: 12 Months

Location: Washington, DC 20065

Purpose:

Lead Data Engineer to manage cloud/on-premise big data infrastructure, focusing on reliability, automation, and performance. Transform platforms for data-driven insights.

Essential Functions:

  • 20%: Lead design, configure, and manage Data Integration Framework.
  • Develop best practices for performance and reliability.
  • 20%: Maintain infrastructure systems (data warehouses, data lakes) and data access APIs.
  • 15%: Model Data Warehouse solutions (cloud/on-premise); understand Dimensional Modeling, De-normalized Data Structures, OLAP.
  • 15%: Oversee data initiatives, support ELT/ETL activities, create data collection frameworks.
  • 10%: Analyze data with statistical techniques, provide reports, support key projects.
  • 5%: Enhance job knowledge through workshops, publications, and networking.

Qualifications:

Education:

  • Bachelor's Degree in Computer Science, IT, Engineering, or related field.
  • Additional 4 years of relevant experience in lieu of a degree.

Experience:

  • 8 years in data engineering, leading teams, implementing ETL/ELT solutions.
  • Developing and updating ETL/ELT scripts, application development, relational databases, and data modeling.

Preferred Qualifications:

  • ETL Design (AbInitio)
  • Data Integration (Hadoop, Cloudera)
  • AWS and MongoDB experience
  • Knowledge of SQL, NoSQL, Python
  • Database design and data movement concepts
  • Strong technical, analytical, and problem-solving skills
  • Excellent organizational and communication skills
  • Ability to lead technical teams
  • Flexibility to work in fast-paced environments with changing priorities
  • Excellent customer service skills

Other Requirements:

  • Disclose any debarment from Federal health care programs.
  • Meet deadlines and handle multiple customer service demands.

Key Skills:

  • ETL Design and Development (AbInitio)
  • Data Integration (Hadoop, Cloudera)
  • AWS, MongoDB
  • SQL, NoSQL, Python
  • Database design, data movement
  • Technical leadership, problem-solving
  • Organizational, communication skills