Data Engineer

Job Description

Job Description

We are looking for Data Engineering professionals local to Ottawa. Please see the requirements and job classifications below.

Roles: Data Engineers

Location: Ottawa (on-site)

Start Date: Q3 of 2027

Contract Duration: 10 Years +

Hours: 40 hours per week

***NON-NEGOTIABLE REQUIREMENTS:

· Must be a Canadian Citizen

· Must have been a resident of Canada for the last 10 consecutive years

· Must be located in Ottawa or willing to relocate (on-site requirement)

· Willing to go through screening process which includes, background check, credit check, and a polygraph exam

· Proof of Education and Certifications (screenshots need to be provided of your diploma(s)/degree(s) as well as any professional certifications.

· Must have or be eligible to obtain Top Secret Clearance prior to project start

RESPONSIBILITIES:

· Design, develop, and maintain scalable data pipelines and ETL/ELT processes

· Implement and manage data warehousing solutions and data modeling

· Develop and maintain data infrastructure including databases, data lakes, and data marts

· Ensure data quality, governance, and security across all data assets

· Optimize data processing performance and efficiency

· Collaborate with data scientists, analysts, and business stakeholders

· Implement data monitoring, logging, and alerting systems

· Develop and maintain data documentation and metadata management

· Support data migration and integration projects

· Implement data security measures and access controls

TASKS:

· Design and implement data pipeline architectures using modern tools and frameworks

· Develop and maintain ETL/ELT processes for data transformation and movement

· Create and manage data models for relational and non-relational databases

· Set up and maintain data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)

· Implement data quality validation and monitoring frameworks

· Develop data governance policies and procedures

· Optimize database performance and query efficiency

· Implement data security measures including encryption and access controls

· Create comprehensive data documentation and metadata repositories

· Support data migration projects between systems

· Develop data monitoring dashboards and alerting systems

· Collaborate with cross-functional teams on data requirements and solutions

· Mentor junior data engineers and provide knowledge transfer

DELIVERABLES:

· Data pipeline architecture documentation and implementation

· ETL/ELT process documentation and code repositories

· Data warehouse design and implementation documentation

· Data quality monitoring framework and reports

· Data governance policy documentation

· Performance optimization reports and recommendations

· Data security implementation documentation

· Comprehensive data dictionary and metadata repository

· Data monitoring dashboard configurations

· Migration project plans and implementation reports

· Training materials and knowledge transfer documentation

JOB CLASSIFICATION, QUALIFICATION AND EXPERIENCE:

Senior Data Pipeline Engineer:

· University undergraduate degree or diploma in Computer Science, Engineering, or related field or Ten (10) years of progressive experience in IT.

· A minimum of ten years' experience designing and implementing data pipelines and ETL processes.

· A minimum of ten years' experience implementing data quality and governance frameworks.

· A minimum of ten years' experience with data security and access controls.

· A minimum of ten years' experience working with data analytics and business intelligence teams.

· A minimum of ten years' experience with version control, CI/CD, and automation tools.

Intermediate Data Pipeline Engineer:

· University undergraduate degree or diploma in Computer Science, Engineering, or related field or five years of progressive experience in IT.

· A minimum of five years' experience designing and implementing data pipelines and ETL processes.

· Experience implementing data quality and governance frameworks.

· Experience with data security and access controls.

· Experience working with data analytics and business intelligence teams.

· Experience with version control, CI/CD, and automation tools.

Senior Data Warehouse Engineer

· University undergraduate degree or diploma in Computer Science, Engineering, or related field or Ten (10) years of progressive experience in IT.

· A minimum of ten years' experience with data warehousing and data modeling.

· A minimum of ten years' experience implementing data quality and governance frameworks.

· A minimum of ten years' experience with data security and access controls.

· A minimum of ten years' experience working with data analytics and business intelligence teams.

· A minimum of ten years' experience with version control, CI/CD, and automation tools.

Intermediate Data Warehouse Engineer

· University undergraduate degree or diploma in Computer Science, Engineering, or related field or five years of progressive experience in IT.

· A minimum of ten years' experience with data warehousing and data modeling.

· Experience implementing data quality and governance frameworks.

· Experience with data security and access controls.

· Experience working with data analytics and business intelligence teams.

· Experience with version control, CI/CD, and automation tools.

Senior Big Data Engineer

· University undergraduate degree or diploma in Computer Science, Engineering, or related field or Ten (10) years of progressive experience in IT.

· A minimum of ten years' experience with big data technologies (Hadoop, Spark, Kafka, etc.).

· A minimum of ten years' experience with cloud data platforms (AWS, Azure, GCP).

· A minimum of ten years' experience with database management (SQL, NoSQL).

· A minimum of ten years' experience implementing data quality and governance frameworks.

· A minimum of ten years' experience with data security and access controls.

· A minimum of ten years' experience working with data analytics and business intelligence teams.

· A minimum of ten years' experience with version control, CI/CD, and automation tools.

Intermediate Big Data Engineer

· University undergraduate degree or diploma in Computer Science, Engineering, or related field or

· five years of progressive experience in IT.

· A minimum of five years' experience with big data technologies (Hadoop, Spark, Kafka, etc.).

· A minimum of five years' experience with cloud data platforms (AWS, Azure, GCP).

· A minimum of ten years' experience implementing data quality and governance frameworks.

· A minimum of ten years' experience with data security and access controls.

· A minimum of ten years' experience working with data analytics and business intelligence teams.

· A minimum of ten years' experience with version control, CI/CD, and automation tools.

N-Tier Solutions Inc. is a Technology Consulting Services and Professional Staffing Company, founded and incorporated in 1999 in the state of North Carolina. We are headquartered in Winston-Salem NC.

Company Description

N-Tier Solutions Inc. is a Technology Consulting Services and Professional Staffing Company, founded and incorporated in 1999 in the state of North Carolina. We are headquartered in Winston-Salem NC.