Remote - Sr. Data Engineering Manager

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

Job Overview

Green Dot Corporation is seeking a Remote Senior Data Engineering Manager to lead our data engineering team in designing and implementing robust data solutions that drive strategic insights and business growth. This pivotal role will involve developing data infrastructure, optimizing data flows, and enhancing data quality initiatives while collaborating with cross-functional teams to support various analytics and reporting needs. The ideal candidate will possess a strong technical background in data engineering and a proven ability to manage and mentor a diverse team of data professionals.

Job Responsibilities

• Lead and mentor a team of data engineers and analysts, fostering a culture of innovation and continuous improvement.
• Design, develop, and maintain scalable and efficient data pipelines and architectures that support business objectives.
• Collaborate with stakeholders to understand their data needs and translate them into effective data solutions.
• Ensure data quality and governance through best practices in data management and processes.
• Drive strategic data initiatives and oversee deployment, tuning, and optimization of data processing systems.
• Identify and implement opportunities for automation in data workflows and reporting processes.
• Monitor and evaluate system performance, implementing enhancements as necessary to maximize efficiency.
• Stay up-to-date with advancements in data engineering technologies and methodologies to continuously enhance the team’s capabilities.

Qualifications

• Master’s degree in Computer Science, Engineering, or a related field; equivalent work experience considered.
• 7+ years of experience in data engineering, with at least 3 years in a managerial role overseeing data teams.
• Strong proficiency in SQL and experience with programming languages such as Python, Java, or Scala.
• Solid understanding of data warehousing concepts, ETL processes, and data modeling techniques.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop, Kafka).
• Demonstrated ability to lead projects from inception through delivery and maintenance.
• Excellent interpersonal and communication skills, with a proven ability to collaborate with cross-functional teams.
• Strong problem-solving skills and a detail-oriented mindset, with a focus on delivering high-quality results.

Technologies & Tools

The Senior Data Engineering Manager will work with a diverse range of technologies and tools, including but not limited to Amazon Web Services (AWS), Google Cloud Platform (GCP), Apache Spark, Apache Kafka, SQL databases, Python, and ETL tools like Apache NiFi or Talend. Familiarity with data orchestration platforms such as Airflow and data visualization tools like Tableau or Power BI will also be advantageous in supporting the team’s initiatives.

Ideal Candidates

Ideal candidates for this position will exhibit strong leadership and management skills with a passion for mentoring and developing talent within their teams. They will possess a strategic mindset, with the ability to translate business needs into actionable data engineering projects. Strong analytical skills, combined with excellent communication abilities, will be vital for effectively collaborating with various stakeholders. Candidates should also demonstrate adaptability and a continuous desire to stay informed of emerging trends and technologies in the field of data engineering.