Data Engineer, Digital Systems

Enfinite

Data Engineer building and maintaining data platforms for Alberta's energy infrastructure. Responsible for managing data quality and evolving data architecture in a hybrid work environment.

Posted 7/25/2026full-timeCalgary • 🇨🇦 CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining ETL and ELT pipelines using Databricks and Delta Lake, with a strong focus on data quality, governance, and architecture. Proficient in Python, SQL, and data modeling, with hands-on experience in building reliable data integrations and monitoring systems.

Highest-signal resume keywords

ETL And ELT Pipeline DevelopmentDatabricks And Delta LakePython ProgrammingSQL And Data ModelingData Governance And Quality

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL DevelopmentELT DevelopmentPythonSQLData ModelingData Quality ChecksData LineageMetadata ManagementJob OrchestrationPandas

Soft Skills

Problem SolvingOwnership

Tools & Technologies

DatabricksDelta LakePySparkNotebooks

Industry Keywords

Data EngineeringMedallion ArchitectureBronze And Silver Data LayersData GovernanceAccess Control

Tech Stack

Tools & technologies

ETLPandasPySparkPythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain ETL and ELT pipelines in Databricks and Delta Lake.
Manage batch and near-real-time ingestion from operational and enterprise systems.
Build reliable APIs, connectors, and integrations that do not silently fail when source systems change.
Clean, standardize, validate, and define data during ingestion.
Implement automated data-quality checks, monitoring, and alerts.
Diagnose pipeline failures, resolve root causes, and prevent recurring issues.
Build and evolve Enfinite’s Bronze and Silver architecture.
Design schemas and data models that can scale across additional sites and asset types.
Document data lineage, architecture, integrations, and dependencies.
Apply data-governance, access-control, security, metadata, and cataloguing standards.

Requirements

What you’ll need

A bachelor’s degree in computer science, data engineering, electrical engineering, or a related field.
At least three years of hands-on data engineering experience.
Strong Python skills, including pandas, PySpark, or similar technologies.
Hands-on experience with Databricks, Delta Lake, notebooks, and job orchestration.
Strong SQL and data-modelling skills.
Experience building and supporting production data pipelines.
Knowledge of data quality, lineage, access control, metadata, and governance.
Understanding of medallion architecture and Bronze, Silver, and Gold data layers.
Comfort taking ownership when a pipeline breaks.

Benefits

Comp & perks

Health and wellness spending account
Hybrid Flexible Work Program
Training and development opportunities
Volunteer initiatives and team-building events