Sr. Data Engineer

4 weeks ago

Irving, United States Scadea Software Solutions Full time

We are seeking a highly skilled and motivated Senior Data Engineer to join our dynamic data team. In this role, you will take the lead in designing, building, and optimizing data architectures that enable data-driven decision-making across the company. You will be responsible for creating scalable data pipelines, refining data models, and ensuring top-notch performance of our data systems.

The ideal candidate is an expert in SQL, data modeling, and performance tuning, with a deep understanding of data architecture design. You will work closely with data analysts, data scientists, and software engineers to ensure our data infrastructure is reliable, efficient, and scalable.

Key Responsibilities:

  • Data Architecture Design: Lead the design and implementation of scalable data architecture solutions that align with business goals and meet operational performance requirements.
  • Data Modeling: Develop and maintain logical, physical, and conceptual data models to support analytics and operational systems.
  • Data Pipeline Development: Build, optimize, and maintain ETL/ELT pipelines to ensure seamless data flow from multiple sources into our data lakes and warehouses.
  • Performance Tuning: Diagnose and troubleshoot complex SQL queries and data processing jobs to optimize performance and resource utilization.
  • Data Integration: Design and implement integrations between various internal and external data systems to enable unified data views.
  • Collaboration: Work closely with cross-functional teams to understand data requirements, contribute to project planning, and ensure the timely delivery of high-quality data solutions.
  • Data Governance & Security: Ensure that data systems comply with security, privacy, and governance standards.
  • Continuous Improvement: Stay ahead of the latest data engineering trends and technologies to enhance and modernize our data infrastructure.

Required Skills & Qualifications:

  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.
  • Experience: 8+ years of experience in data engineering or related roles.
  • SQL Expertise: Deep proficiency in writing and optimizing complex SQL queries for data retrieval, transformation, and performance tuning.
  • Data Modeling: Proven experience in designing and implementing data models for both transactional and analytical systems.
  • ETL/ELT Processes: Strong hands-on experience with ETL/ELT tools and frameworks.
  • Performance Tuning: Experience with query optimization, indexing strategies, and improving database performance in large-scale environments.
  • Cloud Platforms: Experience with cloud data platforms (e.g., AWS, GCP, Azure) and familiarity with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).
  • Programming: Proficiency in Python, Java, or Scala for data processing.
  • Big Data Tools: Familiarity with big data technologies such as Apache Spark, Kafka, or Hadoop is a plus.
  • Problem-Solving Skills: Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues.

Nice to Have:

  • Experience with stream processing and real-time data architectures.
  • Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Experience in working with NoSQL databases and data lakes.



Location: Irving, TX and Rutherford, NJ

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