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Data Engineer
Data EngineerRealtime Recruitment • Philadelphia, PA, United States
Data Engineer

Data Engineer

Realtime Recruitment • Philadelphia, PA, United States
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Data Engineer – Job Opportunity

Full time Permanent

Remote - East coast only

Please note this role is open for US citizens or Green Card Holders only

We’re looking for a Data Engineer to help build and enhance scalable data systems that power analytics, reporting, and business decision-making. This role is ideal for someone who enjoys solving complex technical challenges, optimizing data workflows, and collaborating across teams to deliver reliable, high-quality data solutions.

What You’ll Do

  • Develop and maintain scalable data infrastructure, cloud-native workflows, and ETL / ELT pipelines supporting analytics and operational workloads.
  • Transform, model, and organize data from multiple sources to enable accurate reporting and data-driven insights.
  • Improve data quality and system performance by identifying issues, optimizing architecture, and enhancing reliability and scalability.
  • Monitor pipelines, troubleshoot discrepancies, and resolve data or platform issues—including participating in on-call support when needed.
  • Prototype analytical tools, automation solutions, and algorithms to support complex analysis and drive operational efficiency.
  • Collaborate closely with BI, Finance, and cross-functional teams to deliver robust and scalable data products.
  • Create and maintain clear, detailed documentation (configurations, specifications, test scripts, and project tracking).
  • Contribute to Agile development processes, engineering excellence, and continuous improvement initiatives.

What You Bring

  • Bachelor’s degree in Computer Science or a related technical field.
  • 2–4 years of hands-on SQL experience (Oracle, PostgreSQL, etc.).
  • 2–4 years of experience with Java or Groovy.
  • 2+ years working with orchestration and ingestion tools (e.g., Airflow, Airbyte).
  • 2+ years integrating with APIs (SOAP, REST).
  • Experience with cloud data warehouses and modern ELT / ETL frameworks (e.g., Snowflake, Redshift, DBT) is a plus.
  • Comfortable working in an Agile environment.
  • Practical knowledge of version control and CI / CD workflows.
  • Experience with automation, including unit and integration testing.
  • Understanding of cloud storage solutions (e.g., S3, Blob Storage, Object Store).
  • Proactive mindset with strong analytical, logical-thinking, and consultative skills.
  • Ability to reason about design decisions and understand their broader technical impact.
  • Strong collaboration, adaptability, and prioritization abilities.
  • Excellent problem-solving and troubleshooting skills.
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    Data Engineer • Philadelphia, PA, United States

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