Senior Data Engineer

🔥 0 minutes ago

🐊 Florida – Remote

🐊 Florida – Remote

💵 $119.6k - $177.9k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Healthfirst

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1993

🛡️ Insurance

🏥 Healthcare

⚕️ Healthcare Insurance

Insurance • Healthcare • Healthcare Insurance

Healthfirst is a health insurance provider dedicated to helping New Yorkers access affordable health coverage for individuals and families. With over 30 years of experience, Healthfirst offers a range of plans including Medicaid managed care, Medicare Advantage, long-term care, and essential health plans. The company focuses on providing quality healthcare options, comprehensive benefits, and support to ensure members can maintain their health and well-being.

📋 Description

• Design and implement ELT/ETL solutions for batch and streaming ingestion, integration, refinement, and publish patterns on the Lakehouse • Develop reusable data processing frameworks and configuration-driven pipelines using Python and PySpark • Build and maintain scalable orchestration workflows for production data delivery, including retries, historical loads, and operational runbooks • Implement data quality checks, validation frameworks, and monitoring against defined contracts and SLAs • Apply DataOps practices, including Git-based development, CI/CD/CT, automated testing, and controlled environment promotion • Contribute to data lifecycle practices, retention, archival, disaster recovery, and resiliency • Support platform modernization and cloud migration of legacy data flows into Lakehouse patterns • Collaborate with stakeholders to map technical designs to business processes, non-functional requirements, and consumption needs • Establish and document engineering standards, naming conventions, and practices; participate in Agile ceremonies and cross-team delivery • Provide technical leadership through mentoring, design and code reviews, and improvements to reliability, performance, and cost efficiency • Own reliable datasets supporting analytics and reporting across the governed Lakehouse

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent work experience • 8+ years of overall IT experience • 5+ years of hands-on experience designing and developing enterprise-scale data engineering solutions • Strong experience developing scalable data pipelines and reusable frameworks using Python and PySpark • Experience with AWS Glue, dbt, Apache Spark, or comparable technologies • Strong understanding of data warehousing concepts, dimensional modeling, and modern data lake/Lakehouse architectures • Experience with AWS, Microsoft Azure, or Google Cloud Platform; AWS preferred • Strong SQL expertise with relational databases; familiarity with NoSQL databases is a plus • Experience with Apache Spark, Amazon EMR, or Hadoop-based platforms • Experience using Git-based source control and Agile software development methodologies • Strong analytical, problem-solving, and communication skills • Preferred: AWS cloud-native data platforms, Apache Iceberg, CI/CD, DataOps, Terraform, Airflow/MWAA/Step Functions, RESTful APIs, Kafka/Kinesis/Spark Structured Streaming, data quality and observability, governance and metadata management, security and healthcare regulatory compliance (HIPAA/PHI), workload optimization, mentoring, design and code reviews

🏖️ Benefits

• Medical, dental, and vision coverage • Incentive and recognition programs • Life insurance • 401k contributions • Competitive compensation and benefits package