Senior Data Engineer

This is a fully remote position, open to applicants in Florida.

📋 Description

• Oversee and execute data management strategies and methodologies.

• Conduct data integration, acquisition/ingestion, cleansing/refinements, transformations/conversions, migrations, purging, and backups.

• Collaborate with users and stakeholders to grasp data requirements.

• Assist in data architecture and convert it into data management practices at Healthfirst.

• Create documentation that defines standards and definitions for data storage, processing, and movement, including associated processes and business rules.

• Align documentation with business processes, non-functional characteristics, qualitative criteria, and technical enablement.

• Detect trends in datasets and devise workflows and algorithms to emphasize strategic raw data for the enterprise.

• Develop data acquisition strategies and establish robust dataset processes in accordance with best practices for standardization.

⛳️ Requirements

• 8+ years of comprehensive IT experience.

• Enterprise-level experience with scripting languages, particularly Python and PySpark, in developing enterprise frameworks.

• Enterprise-level experience with data ingestion methodologies through ETL tools such as Glue and DBT.

• Enterprise-level experience with data warehousing concepts and big data technologies like EMR and Hadoop.

• Enterprise-level experience with cloud infrastructure including AWS, GCP, or Azure.

• Strong SQL proficiency across both relational and NoSQL databases.

• In-depth knowledge of data security, encryption, and compliance standards.

• Practical experience with CI/CD pipelines and DevOps practices within a data engineering context.

• Experience in developing APIs.

• Experience in constructing streaming platforms.

🏝️ Benefits

• Medical, dental, and vision insurance coverage.

• Incentive and recognition programs.

• Life insurance benefits.

• 401k contributions.

• Competitive salary and benefits package.