Remote Data Engineer — AWS, ETL & Insights

Robotic Process Automation LLC

Harrisburg (Dauphin County)

Remote

USD 105,000 - 141,000

Full time

19 hours ago
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Job summary

Robotic Technologies Automation in Harrisburg, PA (Remote) seeks an experienced Data Engineer to design and maintain scalable data pipelines and AWS-based solutions. You will integrate diverse datasets, ensure data quality, and build analytics solutions for research and decision-making.

The role requires 5+ years in AWS data services, Python/SQL, and data modeling, with experience in Hadoop, Spark, Kafka, and Airflow. Strong communication and collaboration skills are essential.

Qualifications

  • 5+ years of experience with AWS cloud data services.
  • 5+ years of programming in Python/SQL and data tools.
  • Experience with Hadoop, Spark, Kafka, and Airflow.
  • Strong data governance, metadata, and quality knowledge.
  • Experience with REST APIs and integration tools.
  • Experience with student-level higher education data linkage is a plus.

Responsibilities

  • Design and maintain scalable data pipelines and ETL workflows.
  • Build AWS-based data solutions and cloud data services.
  • Develop analytics dashboards and models for research.
  • Ensure data quality, governance, and monitoring.
  • Collaborate with data scientists and stakeholders on data initiatives.
  • Support data migration and system integration efforts.

Skills

Analytical skills
Communication skills
Problem solving
Team collaboration

Tools

AWS
Python
SQL
R
Java
Scala
C++
Git
CI/CD
Hadoop
Spark
Kafka
Airflow
REST APIs
Informatica
MuleSoft
Talend
TIBCO
Data modeling

Job description

Robotic Technologies Automation in Harrisburg, PA (Remote) seeks an experienced Data Engineer to design and maintain scalable data pipelines and AWS-based solutions. You will integrate diverse datasets, ensure data quality, and build analytics solutions for research and decision-making.

The role requires 5+ years in AWS data services, Python/SQL, and data modeling, with experience in Hadoop, Spark, Kafka, and Airflow. Strong communication and collaboration skills are essential.

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