Senior Software Developer – ETL
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Summary
Contract Senior ETL Developer (placed by Upstaff) for the Ontario Government, 100% onsite in Toronto: designs, builds and maintains data pipelines, data models and database backends for a data warehouse/BI environment using Azure Data Factory, Azure SQL, Databricks, AWS data services and complex SQL. Runs Jan 5 – Oct 5, 2027, 5 days/week onsite.
Senior Software Developer – ETL
Requisition: RQ11713
Position: Software Developer – ETL – Senior
Client: Ontario Government – Central Agencies Cluster / Treasury Board Secretariat
Location: 222 Jarvis Street, Toronto, ON
Work Arrangement: 100% Onsite – 5 days per week
Start Date: January 5, 2027
End Date: October 5, 2027
Openings: 1
Security Requirement: CRJMC
Submission Limit: 1 candidate
Closing Date: October 14, 2026 at 12:00 PM
Position Overview
The Ontario Government is seeking a Senior Software Developer – ETL to design, develop, maintain, and enhance database backend and ETL applications supporting Data Warehouse and Business Intelligence solutions.
The successful candidate will be responsible for developing robust data pipelines, implementing extraction, transformation, and loading processes, integrating and cleansing data, optimizing SQL and database performance, and ensuring that ETL applications are scalable, maintainable, secure, well-tested, and properly documented.
The role requires strong hands-on experience across Microsoft Azure data technologies, Databricks, AWS data services, ETL development, SQL, data modelling, data warehousing, and database administration, combined with the ability to work effectively with business stakeholders and technical teams.
Key Responsibilities
- Design, develop, maintain, and continuously enhance ETL applications and database backend solutions for Data Warehouse and Business Intelligence environments.
- Design and implement scalable data extraction, transformation, and loading pipelines.
- Develop ETL functionality supporting both initial and daily/incremental data loads.
- Work with structured and semi-structured files, relational databases, and multi-dimensional data stores.
- Develop, implement, and maintain ETL scheduling and dependency logic.
- Perform data integration, data cleansing, transformation, and data analytics activities.
- Design and implement data models for data marts and enterprise data warehouses.
- Apply appropriate software development patterns, standards, and best practices.
- Develop high-quality, maintainable, and scalable code.
- Construct complex SQL queries and perform database and query performance tuning.
- Support database management and administration activities.
- Test, debug, troubleshoot, and resolve technical issues throughout the software development lifecycle.
- Translate technical specifications and business requirements into working, tested applications.
- Collaborate with business stakeholders, subject matter experts, clients, and IT professionals.
- Elicit, document, validate, and analyze business and technical requirements.
- Prepare detailed technical documentation, including ETL source-to-target mappings, data model diagrams, architecture artifacts, and detailed design documents.
- Participate throughout the SDLC from development through testing, quality assurance, implementation, and delivery.
- Provide technical assistance during implementation, conversion, migration, and post-implementation activities.
- Communicate technical information clearly to both technical and non-technical stakeholders.
- Investigate data and ETL pipeline issues, communicate potential impacts to end users, and recommend appropriate solutions.
Requirements
Mandatory Technical Skills
Candidates must demonstrate hands-on experience with the following:
Microsoft Azure Data Technologies
- Azure Data Factory (ADF)
- Azure SQL Database
- Azure Data Lake
- Power BI
Databricks
- Databricks Platform
Amazon Web Services (AWS)
Experience with AWS data technologies, including:
- Amazon Aurora
- Amazon Relational Database Search
- AWS Glue
- OpenSearch
- Related AWS data services
ETL Development
- Development of data extraction, transformation, and load (ETL) programs.
- Experience supporting both daily and initial data loads.
- Experience working with a broad range of data repositories, including:
- Structured files
- Semi-structured files
- Relational data stores
- Multi-dimensional data stores
ETL Scheduling & Dependencies
- Developing, implementing, and maintaining schedule and dependency logic for ETL scripts.
Data Integration & Data Quality
- Data integration
- Data cleansing
- Data transformation
- Data analytics
- Data investigation and issue identification
- Ensuring high-quality, accurate, business-ready data
Data Modelling & Warehousing
- Data modelling and design principles for:
- Data marts
- Data warehouses
- Designing scalable and maintainable data architectures.
Database Management
- Database management and administration.
- Strong understanding of relational and database technologies.
SQL
- Strong experience constructing complex SQL queries.
- Experience with SQL performance tuning and optimization.
Technical Documentation
Experience preparing detailed technical documentation, including:
- ETL source-to-target mappings
- Data model diagrams
- Architecture artifacts
- Detailed design documents
- Technical/system documentation
- User documentation as required
Git / Source Control
- Git
- Knowledge of source-control strategies and practices.
Requirements & SDLC
- Experience eliciting, documenting, and validating business requirements.
- Experience working through the complete Software Development Life Cycle (SDLC):
- Development
- Testing
- Quality Assurance
- Delivery/Implementation
Communication
- Excellent verbal and written communication skills.
- Ability to understand, comprehend, and follow detailed instructions and requirements.
- Ability to communicate clearly and effectively with technical teams, clients, business stakeholders, and subject matter experts.
General Software Development Experience
The successful candidate should also demonstrate experience in:
- Programming and software analysis.
- Designing, coding, testing, debugging, and documenting applications.
- Application design and current design patterns.
- Application deployment and troubleshooting.
- Object-oriented and/or third-generation programming languages.
- Relational and hierarchical database technologies.
- Query languages and information retrieval packages.
- Structured methodologies for application design, development, implementation, and maintenance.
- Collaborating with IT professionals throughout the SDLC.
- Gathering and documenting information from diverse business stakeholders and SMEs.
- Troubleshooting technical problems related to software packages and applications.
- Implementation, conversion, and migration activities.
- Meeting project deadlines while working effectively as part of a team.
Nice-to-Have Skills
The following are considered assets:
- Knowledge and understanding of AODA (Accessibility for Ontarians with Disabilities Act) and related regulations and standards.
- Experience designing visual dashboards highlighting trends and KPIs.
- Experience developing scheduled and ad-hoc/canned reports.
- Experience with C#.
- Experience developing application code such as:
- APIs
- Functions
- Related application services
- Experience with PowerShell and other scripting languages.
- Knowledge of Internet-ready application development.
- Experience with Rapid Application Development (RAD) methodologies.
- Knowledge of Information Management principles, concepts, policies, and practices.
- Experience with middleware and gateways.
- Experience reviewing, analyzing, and modifying product installation scripts, including encoding, testing, and debugging.
- Experience providing post-implementation support and resolving technical issues.
- Experience conducting design walkthroughs with project teams.
- Experience preparing user and system documentation.
Onsite Requirement – Mandatory
This is a 100% onsite position.
The successful candidate must be available to work:
- 5 days per week onsite
- 222 Jarvis Street, Toronto
- 7.25 hours per calendar day
- Monday to Friday
- Within the standard working window of 8:00 AM to 5:00 PM, excluding lunch
- No remote/hybrid arrangement is indicated for this assignment.
Security Requirement
CRJMC eligibility/clearance is required.
Ideal Candidate Profile
The ideal candidate is a Senior ETL/Data Developer with strong enterprise-level experience across Azure Data Factory, Azure SQL, Azure Data Lake, Power BI, Databricks, AWS Glue, Aurora, OpenSearch, SQL, data warehousing, data modelling, and ETL pipeline development.
They should be capable of independently designing and troubleshooting complex ETL solutions, working with business stakeholders to understand data requirements, optimizing database performance, documenting technical solutions, and delivering reliable data pipelines within a structured government/enterprise SDLC.
Candidate Submission Checklist
Before submitting, confirm the candidate has:
- ✅ Azure Data Factory
- ✅ Azure SQL Database
- ✅ Azure Data Lake
- ✅ Power BI
- ✅ Databricks
- ✅ AWS / Amazon Aurora
- ✅ AWS Glue
- ✅ OpenSearch / relevant AWS search technology
- ✅ ETL development – initial & daily loads
- ✅ Structured & semi-structured data
- ✅ ETL scheduling/dependency logic
- ✅ Data integration & cleansing
- ✅ Data analytics
- ✅ Data modelling
- ✅ Data marts & data warehouses
- ✅ Database administration
- ✅ Complex SQL
- ✅ SQL performance tuning
- ✅ Git/source control
- ✅ ETL source-to-target mapping documentation
- ✅ Data model/architecture documentation
- ✅ Business requirements elicitation/documentation/validation
- ✅ Full SDLC experience
- ✅ Strong verbal & written communication
- ✅ 100% onsite – 222 Jarvis Street, Toronto
- ✅ CRJMC
- ⭐ AODA
- ⭐ Power BI dashboards/KPIs/reporting
- ⭐ C# / APIs / Functions
- ⭐ PowerShell/scripting