Design and optimize SQL Server solutions, manage data, automate processes with PowerShell, and integrate with external systems to enhance functionality.
Cheesy joke to get you to smile:
Two SQL transactions ask a minister to marry them, but the minister replies, "Only if you're willing to commit."
Summary:
We are seeking a hands-on Data Engineer who is skilled in building complex systems beyond just writing queries. This role focuses on SQL Server in both Linux and Windows environments and requires versatility across various tools, including PowerShell, APIs, Python, and emerging AI/LLM technologies. If you enjoy stretching your expertise beyond SQL and want to contribute to innovative solutions, this position is for you. The role is for one of our North American clients with proprietary software for the insurance industry.
Responsibilities:
- Design, build, and optimize complex SQL Server solutions, emphasizing performance tuning, indexing, and data modeling.
- Manage relational and semi-structured data, including JSON stored in SQL Server and multi-dimensional datasets.
- Query and transform JSON using native SQL Server tools, such as OPENJSON and JSON_VALUE.
- Use PowerShell, SQL Server tools, and scripting to automate processes.
- Enhance functionalities by integrating with APIs and external systems.
- Address problems comprehensively, focusing on end-to-end solutions beyond the database layer.
- Operate within a complex, multi-system application environment, avoiding isolated reporting or analytics tasks.
- Explore and implement LLM-driven workflows, including prompting and structured outputs.
- Continuously enhance efficiency by replacing manual processes with automation.
Required Skills:
- Proficient in SQL Server, including query performance, indexing, and data modeling.
- Experience handling JSON in SQL Server and managing hybrid data models.
- Experience with PowerShell or similar scripting languages for automation purposes.
- Ability to work across multiple systems, including databases, APIs, and services.
- Proven ability to deliver effective solutions in a timely manner.
Preferred Skills:
- Background in smaller teams with end-to-end system ownership.
- Experience in complex application environments rather than isolated reporting or analytics settings.
- Capability to navigate and solve problems without detailed requirements.
- Experience in insurance, financial services, or other regulated, transaction-heavy domains.
- Python experience and familiarity with APIs and integrations.
- Exposure to LLMs like OpenAI and Claude.
- Experience developing internal tools or automation frameworks.
- Experience with cloud or hybrid infrastructure.
This is a fully remote position, offering the flexibility to work from anywhere. If you are ready to take ownership and thrive in a fast-paced, adaptive environment, we encourage you to apply!
Similar Jobs
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Design, build, and scale real-time and batch data infrastructure and pipelines (Kafka, Databricks, Snowflake) to power analytics, reporting, and AI-powered data experiences. Drive data modeling, governance, observability, and best practices while partnering with cross-functional teams and mentoring engineers.
Top Skills:
AWSClaude CodeCodexDatabricksDatadogDynamoDBKafkaMongoDBPagerdutyPythonSigmaSnowflakeSQLTerraform
eCommerce • Healthtech • Kids + Family • Retail • Social Media
Design, build, and scale Snowflake ingestion pipelines and ML/LLM systems. Create agentic tooling to generate, test, and maintain pipelines. Collaborate with analysts, data scientists, and product teams to deliver reliable, high-performance data infrastructure and operationalize models for an AI-first e-commerce platform.
Top Skills:
Agentic WorkflowsAirflowAWSDbtEc2EksLambdaLlmsMcp ServersMl PipelinesPythonRag PipelinesS3Snowflake
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design, build, and operate large-scale Spark/PySpark data pipelines and the enterprise data platform. Implement data integrations, transformations (Python/SQL), monitoring, and data quality. Build MCP servers and AI-enabled tooling, optimize performance, mentor engineers, and lead cross-functional data projects to enable analytics and automation.
Top Skills:
Ai AgentsAmazon S3Apache IcebergAuroraAWSAws Api GatewayAws CloudwatchAws LambdaAws RdsAws Secrets ManagerAws SnsAws SqsAzureDatabricksDatadogDbtFivetranGCPGoogle BigqueryLlmsMcp (Model Context Protocol)Ms Sql ServerMySQLNetSuiteOraclePostgresPysparkPythonPython-Based Api FrameworksSalesforceSnowflakeSparkSplunkSQL
What you need to know about the Ottawa Tech Scene
The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.
