Senior Database Engineer
About The Position
Senior Database Engineer will work closely with a multidisciplinary Agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from the organization's connected data, enabling the organization to advance the data-driven decision-making capabilities of the organization's enterprise. This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data / software engineer with experience creating data products supporting analytic solutions. They are an Agile learner, possess strong problem-solving skills, work as part of a technical, cross functional analytics team, and want to solve complex data problems and deliver the insights to enable analytics strategy.
Requirements
- Bachelor’s degree required; Computer Science, MIS, or Engineering preferred
- 5 years of experience working in data engineering or architecture role, 7+ preferred
- Hands-on Snowflake experience, particularly in designing and optimizing data models and pipelines with a focus on performance and cost optimization.
- Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
- Experience in AWS, hands-on work building and operating data pipelines using services such as S3, IAM, EC2/ECS, Lambda, or Glue
- Proficiency in Software Development & CI/CD
- Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
- Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
Nice To Haves
- Experience with dbt (models, tests, documentation) is preferred
- Expertise with an orchestration platform such as Airflow
Responsibilities
- Design, develop, optimize, and maintain data architecture and pipelines that adhere to data engineering principles and business goals
- Solve complex data problems to deliver insights that helps the organization's business to achieve their goals
- Create data products for analytics and data scientist team members to improve their productivity
- Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
- Foster a culture of sharing, re-use, design for scale, stability, and operational efficiency of data and analytical solutions
- Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering in order to improve the organization's productivity as a team
- Develop and deliver communication and education plans on data engineering capabilities, standards, and processes
- Partner with Product Analysts, Product Owners, and Solutions Architects to develop technical architectures for strategic enterprise projects and initiatives.
- Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
Benefits
- paid time off
- medical/dental/vision insurance
- 401(k)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
