Data Engineer

Job Overview:

Pay Range $50hr - $55hr

Requirement/Must Have:

• 5+ years of experience in Data Engineering.
• Strong expertise in cloud-based data engineering.
• Experience with ETL/ELT development.
• Proficiency in big data technologies.
• Experience working in healthcare environments.

Responsibilities:

• Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
• Build and optimize data ingestion frameworks from multiple source systems, APIs, databases, and cloud platforms.
• Develop and maintain enterprise data models, data warehouses, and data lakes.
• Ensure high levels of data quality, integrity, security, and governance across data platforms.
• Collaborate with business analysts, architects, data scientists, and application teams to understand data requirements.
• Implement data transformation, validation, reconciliation, and monitoring processes.
• Optimize performance of large-scale data pipelines and database workloads.
• Support analytics, reporting, AI/ML, and advanced data science initiatives through reliable data delivery.
• Implement metadata management, lineage tracking, and data cataloging solutions.
• Troubleshoot production issues and perform root cause analysis for data-related incidents.
• Participate in code reviews, architecture discussions, and technical design sessions.
• Ensure adherence to healthcare regulatory and compliance requirements, including HIPAA and data privacy standards.
• Work with distributed teams across multiple locations and support enterprise-scale data initiatives.

Nice to Have:

• Experience in Healthcare, Health Insurance, or Life Sciences domain.
• Exposure to AI/ML data pipelines and MLOps frameworks.
• Knowledge of healthcare data standards such as HL7, FHIR, ICD, and CPT.
• Experience with Snowflake, Databricks, or modern cloud-native data platforms.
• Familiarity with Agile/Scrum methodology.

Skills:

• Data Engineering.
• Data Pipeline Development.
• ETL/ELT Design and Development.
• Data Warehousing Concepts.
• Data Modeling (Dimensional & Relational).
• Data Lake Architecture.
• Data Quality and Data Governance.
• Cloud Technologies (AWS or Azure).
• Databases (SQL Server, Oracle, PostgreSQL, Snowflake).
• Programming (Python, SQL, PySpark, Shell Scripting).
• Big Data Technologies (Apache Spark, Hadoop Ecosystem, Kafka).
• DevOps & CI/CD (Git, Jenkins/Azure DevOps).

Education and Experience:

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or related field.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work independently in fast-paced environments.
• Strong collaboration and mentoring capabilities.
• Commitment to quality, scalability, and continuous improvement.

• Medical, Dental, and Vision Insurance
• 401(k) Retirement Plan
• Health Savings Account (HSA)
• Disability Insurance (Short-Term and Long-Term)
• Life and AD&D Insurance
• Paid Sick Leave (where required by applicable state or local law)
• Supplemental Insurance Plans
• Identity Theft Protection
• Pet Insurance
• Employee Wellness Programs
• Employee Assistance Program (EAP)
• Career Growth and Professional Development Opportunities