Senior Data Engineer (Remote)

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Written by AI from the job title and company, not by Patterson Dental, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Senior Data Engineer at Patterson Dental will play a vital role in enhancing our data processing and analysis capabilities. This position involves designing, developing, and maintaining robust data pipelines and ensuring the integrity, availability, and security of data across various systems. The ideal candidate will collaborate with cross-functional teams to support data-driven decision-making processes and leverage best practices in data engineering to facilitate the delivery of actionable insights for business growth.

Job Responsibilities

• Design and implement scalable data architectures and pipelines to support large-scale data ingestion and processing.
• Develop and optimize complex SQL queries for data extraction and transformation.
• Ensure data quality and integrity through rigorous testing and validation measures.
• Collaborate with data scientists and analysts to facilitate the deployment of analytical models.
• Monitor, troubleshoot, and improve existing data systems and pipelines for performance and reliability.
• Implement and enforce best practices for data governance, security, and compliance.
• Document data engineering processes, architectures, and interfaces for knowledge sharing.
• Mentor junior team members and drive continuous improvement initiatives within the team.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field; a Master's degree is preferred.
• 5+ years of experience in data engineering, data modeling, or related fields.
• Proficiency in SQL and experience with programming languages such as Python or Scala.
• Experience with big data technologies such as Hadoop, Spark, or Hive.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong understanding of data warehousing concepts and ETL processes.
• Excellent analytical and problem-solving skills, with a detail-oriented mindset.
• Ability to work collaboratively in a remote team environment while managing multiple priorities.

Technologies & Tools

This position utilizes a variety of technologies and tools to ensure effective data management and processing. Key technologies include cloud services like AWS or Azure, big data frameworks such as Hadoop and Spark, database systems including MySQL and PostgreSQL, and ETL tools like Apache Airflow. Additionally, version control systems, data visualization tools, and data quality monitoring applications will be employed to support the data engineering functions.

Ideal Candidates

The ideal candidate for the Senior Data Engineer position will possess a strong technical foundation along with an analytical mindset. Characteristics of a successful applicant include a passion for data and technology, a commitment to producing high-quality work, and a collaborative spirit that fosters teamwork. Successful candidates will also demonstrate excellent communication skills and the ability to convey complex data concepts to non-technical stakeholders. Moreover, a proactive approach to problem-solving and a continuous desire to learn new technologies will further enhance their fit within the organization.