Jobs via Dice · 2 hours ago
Data Engineer
Harrisburg, PA
Full-time
Onsite
Mid Level
3+ years expINNOVIT USA INC is seeking a Data Engineer to design, build, and maintain scalable data pipelines and architectures. The role is crucial for ensuring data availability, quality, security, and performance while supporting analytics and reporting initiatives.
Computer Software
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
Qualification
Required
Bachelor s 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 (Google Cloud Platform)
Strong understanding of data architecture, ETL processes, and data integration patterns
Preferred
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
Company
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0-1 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase