Sr. Data Engineer

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

Job Overview

The Sr. Data Engineer at MedeAnalytics will play a pivotal role in designing, implementing, and maintaining robust data pipelines and architecture that support critical analytics and reporting initiatives. This position will require deep technical expertise as well as a collaborative mindset to work closely with data scientists, analysts, and other stakeholders to ensure data accessibility and integrity. The successful candidate will be responsible for optimizing data flows, building data models, and ensuring the effective integration and transformation of data from various sources, contributing to actionable insights and driving data-driven decision-making across the organization.

Job Responsibilities

• Design and implement efficient, reliable, and scalable data pipelines and ETL processes.
• Collaborate with data scientists and analysts to understand their data needs and provide appropriate data models.
• Optimize queries and structures to improve performance and reduce latency in data access.
• Ensure the integrity, availability, and security of data through effective data governance practices.
• Develop and maintain documentation regarding data architecture, data lineage, and standard operating procedures.
• Utilize data visualization tools to present data insights to stakeholders.
• Mentor junior data engineers and contribute to the knowledge-sharing culture within the engineering team.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
• 5+ years of experience in data engineering or a similar role, preferably in the healthcare or analytics domain.
• Strong proficiency in SQL and experience with big data solutions such as Hadoop, Spark, or similar frameworks.
• Expertise in data modeling, ETL development, and data warehousing solutions.
• Proficient with programming languages such as Python, Java, or Scala.
• Demonstrated experience with cloud services (AWS, Azure, or Google Cloud Platform).
• Familiarity with data visualization tools such as Tableau, Power BI, or similar.

Technologies & Tools

In this role, the Sr. Data Engineer will be expected to work with a variety of technologies and tools essential for processing and analyzing data. These include cloud platforms such as AWS or Azure, data processing frameworks like Apache Hadoop and Apache Spark, relational database management systems (RDBMS) like PostgreSQL and MySQL, as well as ETL tools for data extraction and transformation. Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes can also be advantageous.

Ideal Candidates

The ideal candidates for the Sr. Data Engineer position will exhibit strong analytical and problem-solving skills, with an ability to work effectively both independently and as part of a team. They should possess a keen attention to detail and an unwavering commitment to data quality and integrity. Excellent communication skills are essential for collaborating with diverse teams and articulating complex data insights. A proactive attitude, along with a continuous improvement mindset, will be valued as they seek innovative solutions to enhance data processes and architecture at MedeAnalytics.