Senior Data Engineer
WFA Digital Insight
As demand for cloud data engineering specialists surges, with a notable 25% increase in 2025, Capnexus stands out by offering a unique blend of remote work flexibility and the chance to apply advanced AWS skills to modernize enterprise workflows. With a culture centered on outcomes and delivery, Capnexus is an attractive option for those seeking a dynamic and results-driven environment. Before applying, candidates should be prepared to demonstrate not only technical prowess but also the ability to work independently and collaboratively in a global team. The construction industry's move towards AI-powered solutions presents an exciting challenge for the right candidate.
Job Description
About the Role
The Senior Data Engineer position at Capnexus is a pivotal role in the company's mission to provide comprehensive services through designing, building, and supporting retail software. This role entails leading the data engineering efforts for a 12-week AI-powered modernization engagement in the construction industry, focusing on designing and implementing the data engineering backbone of an intelligent subcontractor pre-qualification platform. The successful candidate will be part of a team that values outcomes and delivery, working closely with other professionals to ensure the timely and effective completion of projects.Day-to-day, the Senior Data Engineer will be responsible for overseeing data architecture, pipeline development, and ERP integration, ensuring that all data solutions are robust, efficient, and meet the needs of the project. This involves collaborating with the team to identify data requirements, designing and implementing data pipelines, and ensuring the quality and integrity of the data. The role also involves staying up-to-date with the latest advancements in data engineering and contributing to the continuous improvement of Capnexus's data engineering capabilities.
Given the project's scope and the company's culture, the Senior Data Engineer must be comfortable working in a fast-paced environment, prioritizing tasks effectively, and communicating technical concepts clearly to both technical and non-technical stakeholders. The role is remote, offering the flexibility to work from anywhere, but also requires the discipline and motivation to work independently and as part of a global team.
What You Will Do
- Lead the design and implementation of data architecture for the subcontractor pre-qualification platform
- Develop and manage data pipelines using AWS services such as AWS Glue
- Implement CMIC ERP API integration to ensure seamless data flow
- Design and develop Amazon Textract data extraction pipelines
- Develop ETL processes to ensure data quality and integrity
- Conduct data quality validation to ensure compliance with project requirements
- Collaborate with the project team to identify and prioritize data requirements
- Develop and maintain documentation of data architecture and pipelines
- Stay updated with the latest trends and technologies in data engineering and contribute to the improvement of the company's data engineering practices
- Work closely with the development team to ensure data solutions meet project needs
- Participate in code reviews to ensure high-quality code
What We Are Looking For
- A minimum of 5 years of experience in data engineering, preferably with experience in AWS
- Strong knowledge of data architecture and pipeline development
- Experience with ETL development using AWS Glue
- Proficiency in designing and implementing data quality validation processes
- Excellent understanding of cloud data engineering principles and practices
- Experience working with Amazon Textract and CMIC ERP API integration
- Strong analytical and problem-solving skills
- Ability to work independently and collaboratively in a remote setting
- Excellent communication and interpersonal skills
- Experience with agile development methodologies
Nice to Have
- Experience with AI and machine learning technologies
- Knowledge of generative AI and its applications in data engineering
- Certification in AWS Data Engineering
- Experience working in the construction industry
- Familiarity with DevOps practices and tools
Benefits and Perks
- The opportunity to work on a cutting-edge AI-powered project
- Flexible remote work arrangements
- Professional development opportunities
- Collaborative and dynamic work environment
- Access to the latest technologies and tools
- Competitive compensation package
- Health and wellness benefits
- Paid time off and holidays
- Opportunities for career advancement
How to Stand Out
- Understand the company's technology stack: Before applying, make sure you have a solid understanding of AWS services, especially those related to data engineering like AWS Glue and Amazon Textract.
- Highlight your experience with data pipeline development: Emphasize your experience in designing and implementing data pipelines, and be prepared to provide examples of your work.
- Prepare to talk about data quality and validation: Given the importance of data integrity in this role, be ready to discuss your approach to data quality validation and how you ensure data compliance.
- Showcase your problem-solving skills: The ability to analyze problems and come up with effective solutions is crucial. Prepare examples that demonstrate your analytical and problem-solving skills.
- Be ready to discuss your experience working remotely: As this is a remote position, be prepared to talk about your experience working independently and collaboratively in a remote setting, and how you stay motivated and disciplined.
- Mention the word PICTURESQUE and tag RMTI5LjEyMS40MC4xNg== in your application to show you've read the job post completely.
- Research the company culture**: Understanding Capnexus's culture and values can help you tailor your application and prepare for interviews, showing your genuine interest in the company and the role.
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