Data Engineer

Harrisburg, PA - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA

Summary

A Data Engineer is responsible for designing building and maintaining scalable data pipelines and architectures that enable analytics reporting and data-driven decision-making. This role ensures data availability quality security and performance across enterprise systems while supporting business intelligence and advanced analytics initiatives.

Key Responsibilities

Design develop and maintain robust ETL/ELT pipelines for structured and unstructured data.
Integrate data from multiple internal and external sources into centralized data platforms.
Optimize data storage processing and retrieval for performance scalability and cost efficiency.
Ensure data quality consistency accuracy and integrity across all data pipelines.
Collaborate with data scientists analysts and business teams to support analytics and reporting needs.
Implement data governance security and compliance measures to protect sensitive information.
Monitor data pipeline performance identify bottlenecks and resolve processing failures.
Develop and maintain data models schemas and metadata repositories.
Document data architectures workflows standards and operational procedures.
Support business intelligence platforms and reporting tools with reliable well-structured datasets.
Automate data ingestion transformation and validation processes.
Evaluate test and adopt new data technologies frameworks and best practices.
Perform capacity planning and ensure scalability of data infrastructure.
Troubleshoot data issues and partner with engineering teams to resolve system-level problems.
Contribute to data strategy initiatives and enable data-driven decision-making across the organization.

Qualifications

Bachelors degree in Computer Science Data Science Information Technology or a related field.
3-5 years of hands-on experience in data engineering or data infrastructure roles.
Proficiency in SQL and Python for data processing and pipeline development.
Experience with big data tools and frameworks such as Hadoop Spark or similar technologies.
Hands-on experience with cloud data platforms such as AWS Azure or Google Cloud Platform (GCP).
Strong understanding of data architecture ETL processes and data integration patterns.

Preferred Skills / Duties

Knowledge of data warehousing concepts and business intelligence (BI) tools.
Experience with data modeling dimensional modeling and schema design.
Familiarity with real-time or streaming data technologies (Kafka Kinesis Spark Streaming).
Experience with orchestration tools (Airflow Azure Data Factory or similar).
Strong analytical troubleshooting and problem-solving skills.
Excellent communication and collaboration abilities.

Hiring: W2 Candidates OnlyVisa: Open to any visa type with valid work authorization in the USA Summary A Data Engineer is responsible for designing building and maintaining scalable data pipelines and architectures that enable analytics reporting and data-driven decision-making. This role ensures d...

Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA

Summary

Key Responsibilities