Data Developer

Precision Drilling Corporation; Calgary; On-site; CAD 70,000 - 110,000; Full time

Job summary

An established industry player is seeking a Data Developer to join their innovative team. This role offers the opportunity to work with cutting-edge technologies and high-frequency datasets, contributing to the development of operational technologies that drive performance and reduce costs. You will be part of a supportive culture that values collaboration and personal growth, with a focus on solving complex problems and optimizing data solutions. If you're passionate about data and eager to make a significant impact in a fast-paced environment, this is the perfect opportunity for you to advance your career.

Benefits

Medical and dental insurance

Life insurance

Pension match

Long-term disability coverage

Free fitness membership

Product discount programs

Casual work environment

Personal development opportunities

Competitive time off packages

Qualifications

• 3+ years experience in scripting languages for data development.
• Bachelor's degree in a relevant field or equivalent experience.

Responsibilities

• Design and develop ETL solutions for structured and unstructured data.
• Optimize data pipelines for scalable ingestion and analysis.
• Collaborate with business units on long-term data platform strategy.

Skills

Problem-solving

Growth mindset

Analytical thinking

Dynamic adaptability

Results-focused

Detail-oriented

Interpersonal skills

Organizational skills

Project management

Education

Bachelor’s degree in data, computer, or software science/engineering

Related Technology diploma or experience

Tools

SQL

Python

Git

Kubernetes

Docker

Snowflake

Datadog

Grafana

Job description

Precision Drilling has an onsite opening for a Data Developer, eager for fresh challenges and development that could pave the way for future career growth as our business continues to innovate and grow.

Joining Precision Drilling means joining a supportive culture that values your role as a key contributor to our future. As a large company with a close-knit atmosphere, you’ll collaborate closely with leadership and colleagues throughout the organization.

Combined with a competitive remuneration package, you will enjoy the advantages of:

• Medical, dental, prescription drug, life insurance, Pension match, long-term disability coverage, a free fitness membership steps away from our offices, and product discount programs.
• A casual work environment where you can enjoy a work-life balance promoting personal health, well-being, and family life!
• Personal development to grow your career with us based on your strengths and interests.
• Precision offers competitive time off packages as applicable.

Summary

Precision's Alpha suite of technologies delivers exceptional value to our customers by reducing risks, time, and overall well cost. Alpha drives performance through its core strength of integrating data insights, human ingenuity, automation consistency, and smart algorithms to drill the best wells every time.

The Data Developer will support Precision’s Alpha Technologies product line by developing, supporting, and maintaining our operational technologies and data solutions by leveraging modern data techniques over large data sets. You will get to work with high-frequency datasets, ranging from real-time to transactional data.

Responsibilities

• Design, develop, test, review, document, and troubleshoot batch and real-time ETL solutions against multiple structured and unstructured data sources, such as IoT device data, third-party APIs, and internal systems, into centralized data repositories.
• Build database models that can be used to translate complex performance data into usable information that objectively depicts Precision’s rig fleet performance.
• Optimize data pipelines for scalable, event-driven ingestion, transformation, and analysis.
• Conduct and participate in code reviews and discussions on software design/architecture to coordinate constructive feedback across the team.
• Perform data analyses required to troubleshoot data-related issues and assist in their resolution.
• Create and maintain technical documentation or system workflow as needed.
• Work closely with all business units and data teams to help develop a strategy for long-term data platform architecture.

Knowledge & Skills

• Problem-solving – you are thrilled at the chance to solve complex problems. Beyond the scope of traditional business systems, this is the most valuable attribute you can bring to this role.
• Growth mindset – you understand that you are not an expert in all things and constantly explore new systems in working with datasets more advanced than traditional business systems.
• Analytical thinking – you love to build new things and the challenge of figuring out solutions to complex problems.
• Dynamic – you thrive in a fast-paced environment and can respond quickly to changing conditions or unforeseen obstacles.
• Results-focused – you know there is a perfect solution that will take too long to develop and implement, so you shift your focus to finding a reasonable solution that can be implemented in a timely manner and deliver results.
• Detail-oriented – your attention to detail may drive some people crazy, but we view it as an absolute necessity.
• Strong interpersonal and communication skills.
• Strong organizational, analytical, and project-management skills.
• Ability to work with diverse professionals comprising clients, stakeholders, vendors, operations team, rig team and engineering peers.
• Contribute to sustaining a positive, progressive, and supportive team environment.

Education

Bachelor’s degree in data, computer, or software science/engineering from an accredited University or related Technology diploma or experience.

Experience

• Minimum 3 years experience in scripting languages (SQL, Python) for data development and automating processes.
• Minimum 3-5 years experience engineering big data platforms and large-scale data initiatives.
• Experience with source code management using Git, such as Azure DevOps.
• Experience with Infrastructure-as-code technologies such as Kubernetes and Docker.
• Experience building high-performance pipelines.
• Experience with cloud data warehousing such as Snowflake.
• Experience with monitoring & observability tools, such as Datadog or Grafana, with proven ability to troubleshoot and solve problems in complex systems.
• Knowledge of ETL performance-tuning techniques.