Data Intelligence - Engineer, Data Ld (Hybrid) at Three Point Solutions Inc

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

Client: Health Care Insurance Company

Duration: 12 Months

Location: Washington, DC 20065

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

• 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.

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.

• 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