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Description

Job Summary:

We seek a self-motivated and detail-oriented Data Integration Associate to join our DataOps team. This opportunity enables you to contribute to the operation, support, and enhancement of our mission-critical data operations platform and the development of data pipelines. Our data operations platform supports high-volume, high-velocity data ingestion and curation to support our existing, and rapidly expanding health plan client base.

Duties/Responsibilities:

• Develop and apply scalable data integration (ETL/ELT) processes (including ingestion, cleansing, curation, unification, etc.)
• Support various components of the data pipelines, including ingestion, validation, cleansing, and curation
• Manage and ensure the success of ongoing data pipeline routines
• Collaborate with our implementation team to assist with the identification and reconciliation of data anomalies
• Create and maintain documentation on data pipelines
• Engage with our software engineering team to ensure precise data points per application specifications
• Provide periodic support to our customer success team

Skills/Abilities/Experience:

• BS / MS in Computer Science, Engineering, or applicable experience
• Expertise with SQL, database design, and data manipulation methodologies
• Expertise with ETL/ELT and the development of automated validation and data pipelines
• Strong data profiling and analytic skills; Ability to discover and highlight unique patterns/trends within data to identify and solve complex problems
• Keen understanding of EDW, master data management, and other database design principles
• Comfortable working with high-volume data in a variety of formats
• Excellent verbal and written communication
• Self-motivated
• Passionate at learning
• Familiarity with healthcare data is a plus
• Experience with CI/CD and version control tools is a plus
• Experience working within a hybrid cloud environment such as AWS is a plus

Minimum Qualifications:

• 0-2 years of relevant experience in data engineering, database management, or related fields.
• Familiarity with programming languages commonly used in data engineering such as Python, SQL, or Java.
• Basic understanding of data processing frameworks and technologies like Extract, Transform, and Load.

Physical Requirements:

• Ability to stand and sit throughout the entire work period.
• Ability to lift 10 lbs. weight.

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