Data Engineer (Remote)

Job Summary

We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures. The ideal candidate will work closely with data analysts, data scientists, and business stakeholders to ensure reliable, high-quality data is available for analytics and decision-making.

Key Responsibilities

• Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data

• Build and optimize data models, data warehouses, and data lakes

• Ensure data quality, integrity, and security across systems

• Work with large datasets from multiple sources (APIs, databases, streaming platforms)

• Optimize data pipelines for performance, scalability, and reliability

• Collaborate with cross-functional teams to understand data requirements

• Monitor and troubleshoot data pipeline issues

• Implement best practices for data governance and compliance

Required Skills & Qualifications

• 4+ years of experience as a Data Engineer or similar role

• Strong proficiency in SQL and Python (or Scala/Java)

• Experience with ETL tools and data orchestration frameworks (Airflow, dbt, etc.)

• Hands-on experience with cloud platforms (AWS, Azure, or GCP)

• Experience with data warehouses (Snowflake, Redshift, BigQuery, Synapse)

• Knowledge of big data technologies (Spark, Hadoop, Kafka – good to have)

• Strong understanding of data modeling concepts

• Excellent problem-solving and communication skills

Preferred Qualifications

• Experience with real-time/streaming data pipelines

• Knowledge of DevOps/DataOps practices

• Familiarity with CI/CD for data pipelines

• Experience in healthcare, finance, or enterprise-scale environments

Education

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)

Work Mode -Remote

Share your Resumes to admin@hipaas.com