Data EngineerRealtime Recruitment • Philadelphia, PA, United States
Data Engineer
Realtime Recruitment • Philadelphia, PA, United States
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]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.
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
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Data Engineer • Philadelphia, PA, United States
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