Software Development Engineer Data Engineering

The Emmes Corporation

Full-time - Mid Level

Remote

Professional, Scientific, and Technical Services

About the position

The Software Development Engineer - Data Engineering at Emmes Group is responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support data analytics and business intelligence initiatives. This role requires a strong background in data engineering, particularly with AWS Cloud services, and aims to enhance clinical research through innovative data solutions.

Responsibilities

• Design, develop, and maintain robust data pipelines and ETL processes to ingest, transform, and store data from various sources.
• Implement and manage data architecture on AWS, ensuring scalability, reliability, and security.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
• Optimize data storage and retrieval performance, ensuring data quality and integrity.
• Automate data workflows and implement monitoring and logging to ensure the health and performance of the data infrastructure.
• Conduct data profiling, cleansing, and validation to ensure high data quality standards.
• Stay up to date with the latest trends and best practices in data engineering and AWS cloud technologies.

Requirements

• Bachelor's or master's degree in computer science, Information Technology, or a related field.
• 3 or more years of related professional experience.
• Experience in data engineering with a strong focus on AWS cloud services.
• Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Redshift).
• Experience with AWS services such as S3, Lambda, Glue, EMR, Kinesis, and Redshift.
• Strong programming skills in languages such as Python, Java, or Scala.
• Knowledge of data modeling, ETL concepts, and data warehousing.
• Experience with big data technologies such as Hadoop, Spark, or similar frameworks.
• Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
• Excellent problem-solving skills and attention to detail.
• AWS Certified Data Engineer.

Nice-to-haves

• Experience with data visualization tools (e.g., QuickSight, Qlik).
• Knowledge of machine learning frameworks and data science workflows.
• Familiarity with NoSQL databases (e.g., DynamoDB, MongoDB).
• Strong collaboration skills with cross-functional teams to establish best design and user flows for applications.
• Strong multitasking, problem solving, and organizational skills.
• Proven ability to work independently and in a team environment.

Benefits

• Flexible Approved Time Off
• Tuition Reimbursement
• 401k Retirement Plan
• Work From Home Anywhere in the US
• Maternal/Paternal Leave
• Casual Dress Code & Work Environment