Lead Data Engineer - Remote

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

Job Overview

The Lead Data Engineer will play a pivotal role in designing, building, and maintaining robust data pipelines that support our data analytics and business intelligence needs. This individual will collaborate closely with cross-functional teams to ensure the successful integration and transformation of data sources, ultimately driving impactful insights and informed decision-making across the organization. You will lead a team of data engineers, providing mentorship and guidance while also contributing directly to the hands-on development of data solutions.

Job Responsibilities

• Design and develop scalable data pipelines for data ingestion, transformation, and integration across various platforms.
• Lead a team of data engineers, providing technical guidance, mentoring, and performance management.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and create solutions that meet organizational needs.
• Ensure the quality and reliability of data through rigorous testing and monitoring processes.
• Implement data governance practices to ensure data security, integrity, and compliance with industry standards.
• Optimize existing data processes and explore new technologies to enhance data processing efficiencies.
• Document processes, configurations, and technical specifications to ensure knowledge transfer and maintenance continuity.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; master’s degree preferred.
• 7+ years of experience in data engineering or a related field, with at least 3 years in a leadership role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with ETL tools and data warehousing solutions (e.g., AWS Redshift, Google BigQuery).
• Strong understanding of data modeling, data architecture, and database design.
• Familiarity with cloud platforms, preferably AWS or Azure.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.

Technologies & Tools

The Lead Data Engineer will utilize a variety of technologies and tools to accomplish their tasks. Key technologies include cloud computing platforms such as AWS and Azure, data processing frameworks such as Apache Spark and Apache Kafka, as well as database management systems like PostgreSQL and NoSQL databases. Familiarity with data visualization tools, such as Tableau or Power BI, is also advantageous for enhancing data representation and accessibility.

Ideal Candidates

Ideal candidates for this position will possess strong analytical and strategic thinking skills, enabling them to assess complex data issues and develop effective solutions. They should be natural leaders with the ability to inspire and motivate a team while maintaining a collaborative spirit. A passion for data-driven decision making is essential, along with excellent communication skills to effectively convey technical concepts to non-technical stakeholders. Candidates should also be proactive in their approach to learning and adapting to new technologies and methodologies in the data engineering field.