Data Engineer - Remote / Telecommute

• Assemble large and complex datasets to meet business requirements.
• Design and build efficient ETL/ELT pipelines for data processing and integration.
• Develop and maintain scalable data warehouse architectures.
• Design and optimize data pipelines, repositories, and data models for structured and semi-structured data.
• Analyze and determine coding and integration requirements for data solutions.
• Perform data analysis to troubleshoot and resolve data-related issues.
• Implement data quality monitoring processes to ensure data accuracy and reliability.
• Monitor and manage performance of data systems.
• Develop technical documentation including system specifications, process flows, and test plans.
• Ensure compliance with data security, privacy, and regulatory standards such as HIPAA/PHI.
• Collaborate with cross-functional teams to support data-driven decision-making.
• Partner with business and engineering teams on long-term data platform strategies.
• Stay updated with emerging technologies and trends in data engineering.
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• Strong expertise in SQL and data querying.
• Hands-on experience with Snowflake and Azure data services.
• Experience with dbt, Coalesce, and Databricks.
• Proficiency in data pipeline design and data warehouse technologies.
• Experience with data processing tools such as ADF, Apache NiFi, Talend, or Informatica.
• Programming experience in Python, Java, or Scala.
• Strong understanding of relational and non-relational databases.
• Knowledge of data modeling, database design, and governance.
• Strong analytical and problem-solving skills.
• Ability to work in fast-paced, collaborative environments., * 4+ years of experience in data engineering or related roles.
• 2+ years of experience working with healthcare data (payer/provider preferred).
• Experience with cloud platforms, specifically Microsoft Azure.
• Experience in technology modernization and cloud migration initiatives.
• Experience working with CRM platforms such as CareAxis or similar systems.

Preferred Qualifications:

• Familiarity with Data Vault 2.0 modeling techniques.
• Experience with Streamlit for lightweight data applications.
• Experience with Apache Spark and Apache Kafka.
• Experience in Agile development environments.
• Exposure to BI tools such as Power BI.

Education:

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