Senior AWS Data Engineer – Remote Data Pipelines & Analytics

HonorVet Technologies

Harrisburg (Dauphin County)

Remote

USD 110,000 - 170,000

Full time

25 hours ago
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Job summary

HonorVet Technologies is seeking an experienced Senior AWS Data Engineer to design, build, and maintain scalable data pipelines and cloud-based analytics platforms. The role emphasizes AWS data services, Python, SQL, and big data technologies, handling large, confidential datasets to deliver actionable insights for operations and strategy.

You will collaborate with data scientists and analysts to develop dashboards, models, and decision-support tools, while improving pipeline reliability and

Qualifications

  • 5+ years of hands-on data engineering with cloud data services (AWS preferred).
  • Strong Python, SQL, and data integration experience.
  • Experience designing scalable data pipelines and data warehouses.
  • Knowledge of ETL/ELT, data governance, and metadata management.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and cloud data architectures.
  • Build data solutions using AWS services (S3, Glue, Redshift, EMR, Athena, Lambda).
  • Develop and manage workflows with Airflow or similar tools.
  • Transform and integrate large datasets using SQL and big data tools.
  • Create dashboards, models, and analytics to enable business decisions.
  • Collaborate with data scientists and analysts to deliver insights.

Skills

Python
SQL
AWS
Big data
ETL/ELT
Data modeling

Tools

Apache Airflow
AWS Glue
Redshift
EMR
Athena
Lambda
Spark
Kafka

Job description

HonorVet Technologies is seeking an experienced Senior AWS Data Engineer to design, build, and maintain scalable data pipelines and cloud-based analytics platforms. The role emphasizes AWS data services, Python, SQL, and big data technologies, handling large, confidential datasets to deliver actionable insights for operations and strategy.

You will collaborate with data scientists and analysts to develop dashboards, models, and decision-support tools, while improving pipeline reliability and

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