Software - Data Engineer

Who We Are:

Cold Bore Technology is a leading software solution in Oil & Gas completions for multiservice data integration. Cold Bore Technology has built a standard platform that will create, collect, and structure independent data sources into a format that is consumable and consistent for the end user. Our proprietary software enables competitive service companies to communicate on the same platform without compromising the integrity or confidentiality of there own data to optimize operations for the benefit of the participating E&P operator.

We work with a number of departments within our partners organizations to help solution their current data and operational issues. These issues range from efficiency gains, data pipelines, integration of custom software solutions, data storage solutions, data streaming services, data health, communication up-time, general data structure and data analysis. Our customers receive support from our multi-disciplined team on all their custom projects and their normal day to day operations.

The Cold Bore team is comprised of a very diversified group of talented individuals. Our company has talent that ranges from field data services, software developers, project managers, personnel coordinators, hardware designers, R&M techs, finance personnel and a ton of home-grown self-motivated contributors that have created an energetic and unique company. We continue to grow, not only in work volume but unique knowledge that continually expands our companies' capabilities and opportunities for a broader spectrum data solutions company. We are a company focused on the propagation of incredible culture throughout our teams. We support our people with strong beliefs and the support of continued individual personal growth.

JOB OVERVIEW

In this role, the data engineer will play a pivotal role in designing, developing solutions that power Cold Bore Technology's industry-leading platforms. The successful candidate will be responsible for researching evaluating, developing scalable data pipelines. This position requires close collaboration with cross-functional teams, including product management, data science and operations to translate business needs into technical solutions. The ideal candidate has strong experience with data pipelining, snowflake, data modelling and cloud data architecture (AWS/Azure)

KEY RESPONSIBILITIES

• Build, automate and maintain data ingestion pipelines into Snowflake
• Analyze databases for data quality and reliability
• Implement data quality, monitoring, governance practices
• Implement robust data validation, testing, and error-handling frameworks within pipelines
• Automate ingestion for near real-time data delivery
• Develop data monitoring dashboards and automated alerts for pipeline health and latency.
• Ability to be cross functional and help with traditional software developer tasks
• Develop and maintain data transformation logic to standardize and clean incoming datasets.
• Optimize query performance, storage costs and compute efficiency for cloud db services
• Conduct regular data quality audits and collaborate with stakeholders to correct upstream data issues
• Deploy and maintain infrastructure-as-code using Terraform, CloudFormation, or similar tools.
• Manage data access controls and security policies
• Collaborate with devops and platform teams
• Lead proof-of-concept projects for new data technologies and tools.
• Participate in agile development cycles — sprint planning, retrospectives, and backlog grooming.

QUALIFICATIONS & SKILLS

• Bachelors degree in Computer Science, Software Engineering, or a related field
• 3+ years of experience as a Data Engineer, Software Engineer, or Backend Developer working with large-scale data systems.
• Proven Track record with design, building and maintaining data pipelines
• Strong proficiency in Python
• Advanced SQL skills for data extraction, transformation and optimization
• Experience with Snowflake features such as Streams, Tasks, Data Sharing and Warehouse management
• Knowledge of CI/CD pipelines and version control using Git, GitHub, or GitLab.
• Experience writing unit tests, integration tests, and implementing code reviews.
• Experience developing RESTful APIs or microservices for data access or system integration.
• Strong understanding of software engineering principles, including modularity, reusability, and maintainability
• Exposure to containerization (Docker, Kubernetes) for building and deploying data applications.
• Familiarity with object-oriented programming (OOP) and design patterns
• Experience with infrastructure-as-code tools such as Terraform or CloudFormation.
• Comfort with agile methodologies (Scrum/Kanban) and collaborative development workflows.
• Experience with real-time or streaming data ingestion (Kafka, Kinesis, MQTT, Pub/Sub).
• Ability to troubleshoot and resolve pipeline failures, data latency, or integrity issues efficiently
• Excellent problem-solving and analytical skills
• Strong communication and documentation abilities
• Comfortable in a fast-paced environment with shifting priorities and iterative improvements.

WHAT WE OFFER

• Opportunity to build data infrastructure and strategy from the ground up.
• Growth path
• Collaborative team culture
• Competitive salary and benefits package.

Job Types: Full-time, Permanent

Pay: $100,000.00-$120,000.00 per year

Benefits:

• Casual dress
• Company events
• Dental care
• Disability insurance
• Employee assistance program
• Extended health care
• Life insurance
• On-site parking
• Paid time off
• RRSP match
• Stock options

Work Location: In person