Senior Data Engineer

Our Client, a Health Insurance company, is looking for a Senior Data Engineer for their Remote location.

• The Senior Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (Relational and No
  
  SQL, distributed and converged) with emphasis on reliability, automation and performance.
• This role will focus on developing solutions and helping transform the company's platforms deliver data-driven, meaningful insights and value to company.
• 20% Develops and maintains infrastructure systems (e.g., data warehouses, data lakes) including data access APIs.
• Prepares and manipulates data using multiple technologies.
• 15% Interprets data, analyzes results using statistical techniques, and provides ongoing reports.
• Executes quantitative analyses that translate data into actionable insights.
• Provides analytical and data-driven decision-making support for key projects.
• Designs, manages, and conducts quality control procedures for data sets using data from multiple systems.
• 15% Develops data models by studying existing data warehouse architecture; evaluating alternative logical data models including planning and execution tables; applying metadata and modeling standards, guidelines, conventions, and procedures; planning data classes and sub-classes, indexes, directories, repositories, messages, sharing, replication, back-up, retention, and recovery.
• 15% Creates data collection frameworks for structured and unstructured data.
• 15% Improves data delivery engineering job knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies.
• 10% Applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
• 10% Applies and implements best practices for data auditing, scalability, reliability and application performance.

• 5 years Experience with database design and modeling.
• Experience developing and updating ETL/ELT scripts using Ab Initio in AWS. Hands‑on experience with ETL application development, relational database/No
  
  SQL, development.
• In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.
• Knowledge,
  
  Skills and Abilities
  
  (KSAs)
• Knowledge and understanding of at least one programming language (i.e., SQL, No
  
  SQL, Python).—Expert
• Knowledge and understanding of database design and implementation concepts.—Expert
• Knowledge and understanding of data exchange formats.—Expert
• Knowledge and understanding of data movement concepts.—Expert
• Strong technical and analytical and problem‑solving skills to troubleshoot to solve a variety of problems.—Expert
• Requires strong organizational and communication skills, written and verbal, with the ability to handle multiple priorities.—Advanced
• The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes them ineligible to perform work directly or indirectly on Federal health care programs.
• Must be able to effectively work in a fast‑paced environment with frequently changing priorities, deadlines, and workloads that can be variable for long periods of time.
• Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence.
• Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging.
• Ab Initio, AWS (EC2, S3, Redshift, Aurora PS) – must have hands‑on experience and good to have GenAI knowledge/experience.

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities

As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.