Remote Senior Data Engineer

Description:

• The Senior Data Engineering Consultant will be responsible for requirements gathering, solutioning, designing, and building modern data platforms to support data-driven decision making.
• This role involves executing technical implementation of data engineering and visualization projects and is a hands-on position.
• The consultant will help build a data and analytics consulting practice by participating in recruiting efforts, creating technical collateral, and staying updated on technology trends through ongoing training and certifications.
• The entire consulting team will focus on building long-term strategic relationships with clients and participating in all aspects of project delivery.
• Key responsibilities include leading discovery sessions with clients, designing and implementing data architectures, developing data pipelines, implementing scalable data storage solutions, and automating data processes.
• The consultant will also create high-quality documentation, support pre-sales activities, contribute to reusable collateral development, maintain training in cloud technologies, and collaborate with the marketing team to promote the practice.

Requirements:

• A Bachelor's degree in Computer Science, Information Technology, or a related field is required.
• Candidates should have 5-9 years of data engineering experience in data management, database architecture, or data engineering.
• Excellent problem-solving, organization, debugging, and analytical skills are essential.
• The ability to work independently and in a team environment is necessary.
• Strong communication skills for effectively expressing ideas to team members and clients are required.
• Understanding of relational database concepts and SQL querying is needed.
• Strong experience in integrating with multiple data sources, both structured and unstructured, in batch and streaming modes is required.
• Knowledge of cloud computing platforms such as AWS, GCP, or Microsoft Azure is essential.
• Experience building data pipelines with ETL tools or equivalent cloud services is required.
• Familiarity with data warehousing solutions and visualization tools is necessary.
• Familiarity with Docker and Kubernetes is preferred.
• Candidates should have experience debugging and optimizing existing data infrastructure and processes.
• Proficiency in at least one programming language, such as Python, Java, or Scala, is required.

Benefits:

• The position offers a benchmarked, competitive total rewards package, including base salary and short-term incentives for all employees.
• It is a fully remote-first role within a small but global organization, allowing for flexible learning and growth opportunities.
• Retirement planning options, including company-matched 401(k), are provided.
• Employees have access to a comprehensive benefits package that includes medical, dental, and vision insurance, as well as mental health resources and wellness programs.
• Generous time off and leave allowances are offered.
• Additional perks and benefits are available to enhance the employee experience.