Data Engineer

Polaris IT Solutions Inc. is looking for its first dedicated data hire – a versatile professional who can own the entire data lifecycle. This hybrid role combines the technical foundation of a Data Engineer with the business-driven insights of a Data Analyst. You’ll build the data platform, define key metrics, and turn raw data into actionable insights that directly influence product, marketing, and strategic decisions.

• SQL


• Python (for Data Pipelines & ETL/ELT)


• Data Governance & Compliance

• Build and maintain end-to-end data pipelines and infrastructure.


• Define, track, and report on critical business metrics and KPIs.


• Develop dashboards and communicate insights across the organization.


• Implement data governance, quality, and compliance standards.


• 3+ years in a data-focused role (Analyst, Engineer, or similar).


• Proficiency in SQL and data modeling.


• Hands-on experience with cloud platforms (AWS, GCP, or Azure).


• Experience with BI tools (Tableau, Power BI, Looker, etc.).


• Workflow orchestration (Airflow or similar).


• Experience with data governance/catalog tools (dbt, Apache Atlas).


• Knowledge of A/B testing and statistical methods.


• Background in B2B SaaS or e-commerce.

As a Data Engineer (The Builder):

• Build the Data Platform: Design, build, and maintain end-to-end ETL/ELT pipelines.


• Architect the Infrastructure: Select and implement core data infrastructure (cloud data warehouse, data lake).


• Ensure Data Integrity: Create robust data quality checks, monitoring, and governance standards.


• Manage Data Sources: Connect and manage data from APIs, databases, and event logs.

As a Data Analyst (The Insight Generator):

• Drive Business Decisions: Perform deep-dive analyses to uncover trends and opportunities.


• Define and Track Metrics: Partner with teams to define and monitor KPIs.


• Create Dashboards & Reports: Build and maintain BI dashboards for company-wide accessibility.


• Present Findings: Translate complex analyses into clear, actionable business recommendations.

As a Data Governance & Lineage Lead (The Guardian):

• Establish Data Governance: Define ownership, standards, and access policies.


• Manage Data Lineage: Document and maintain data lineage for transparency and trust.


• Ensure Compliance: Implement foundational data security and privacy protocols.

• 3+ years of professional experience in data-focused roles.


• Strong SQL proficiency for analysis and modeling.


• Solid Python skills for data pipeline development.


• Hands-on experience with AWS, GCP, or Azure.


• Familiarity with data warehousing concepts and tools.


• Proficiency with BI tools such as Tableau, Power BI, or Looker.


• Excellent communication skills for both technical and business audiences.

• Experience with Airflow or other orchestration tools.


• Familiarity with dbt, Apache Atlas, or data governance tools.


• Knowledge of A/B testing and statistical methods.


• Background in B2B SaaS or e-commerce environments.