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Data Engineer
Data Engineerinnovitusa • Denver, CO, Colorado, USA
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Data Engineer

Data Engineer

innovitusa • Denver, CO, Colorado, USA
1 day ago
Job type
  • Full-time
Job description

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

  • 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 (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.
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    Data Engineer • Denver, CO, Colorado, USA

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