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Remote Databricks Data Engineer Jobs in Montreal, QC

Senior Backend Engineer

Montreal, QC · Remote

CA$145K - CA$155K/yr

It's also why the majority of our roles are remote-first, meaning you can work from anywhere you ... Design and maintain APIs, database schemas, integrations, and data contracts. * Improve system ...

Senior Backend Engineer

Montreal, QC · Remote

CA$145K - CA$155K/yr

It's also why the majority of our roles are remote-first, meaning you can work from anywhere you ... Design and maintain APIs, database schemas, integrations, and data contracts. * Improve system ...

... data science, AI, engineering innovation, and IoT. Our customers include the world's leading public ... With almost every team remote by default, Canonical sets the pace on the 21st-century digital ...

Description Devoted Studios is a globally remote game development company specializing in Co ... Strong C++ fundamentals: memory management, data-oriented thinking, performance-aware coding

Devoted Studios is a globally remote game development company specializing in Co-development ... Own the data model -- choose the right store (MongoDB for flexible document storage, DynamoDB for ...

Having recognized the advantages of remote work, including employee morale, productivity, reduced ... Databricks, PySpark, MLflow, Genie API * TypeScript and AWS CDK * OpenTelemetry and CloudWatch

Security, data privacy, and a positive user experience are central to everything we build. You'll ... Strong collaboration and communication skills in a remote-first team environment You might also ...

This is a permanent position, remote based in Vancouver! You'll be working with cutting edge ... Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial ...

This is a permanent position, remote based in Vancouver! You'll be working with cutting edge ... Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial ...

Showing results 41-60

Remote Databricks Data Engineer information

What is a remote Databricks data engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are the key skills and qualifications needed to thrive as a remote Databricks data engineer?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What are some common challenges faced by remote Databricks data engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.

What are the most commonly searched types of Databricks Data Engineer jobs in Montreal, QC?

The most popular types of Databricks Data Engineer jobs in Montreal, QC are:

What are popular job titles related to Remote Databricks Data Engineer jobs in Montreal, QC?

For Remote Databricks Data Engineer jobs in Montreal, QC, the most frequently searched job titles are:

What job categories do people searching Remote Databricks Data Engineer jobs in Montreal, QC look for?

The top searched job categories for Remote Databricks Data Engineer jobs in Montreal, QC are:

Infographic showing various Remote Databricks Data Engineer job openings in Montreal, QC as of June 2026, with employment types broken down into 91% Full Time, 5% Part Time, 2% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Payload System Verification & Validation Engineer | Hybrid/Remote Opportunity | Fastwater Staffing

HIKINEX

Montreal, QC • On-site, Remote

Full-time

Re-posted 19 days ago


Job description

Location: Montreal, Quebec, Canada
Employment Type: Full-Time
Work Arrangement: On-site preferred; remote or hybrid may be considered for exceptional candidates
Start Date: Immediate
Compensation: TBD -- based on skills and experience

Important Screening Requirements
  • Must be legally authorized to work in Canada.
  • Must be eligible to obtain the required security clearance.
  • Candidates may be based in the United States, Canada, or Europe, provided they meet work authorization and security clearance requirements.
About the Role

We are seeking a Payload System Verification & Validation Engineer to support the verification and validation of advanced digital telecommunications payloads. In this role, you will develop and execute comprehensive test plans, validate system requirements, and ensure the performance and reliability of next-generation payload architectures. The ideal candidate has a strong background in telecommunications systems, RF testing, and verification methodologies, with experience working on complex digital payloads in the aerospace, telecommunications, or related industries.

Key Responsibilities
  • Develop and execute verification and validation (V&V) plans for digital telecommunications payload systems.
  • Perform requirements verification through system-level and component-level testing.
  • Validate the performance of digital payload architectures, including Software Defined Radio (SDR) processors and digital beamforming systems.
  • Conduct RF testing using industry-standard test equipment and methodologies.
  • Develop test automation scripts and analyze test data using Python, MATLAB, or similar tools.
  • Configure and control laboratory test equipment using SCPI, VISA, and related interfaces.
  • Collaborate with hardware, software, systems, and integration teams to resolve technical issues and ensure system compliance.
  • Prepare technical documentation, test reports, and verification evidence to support project milestones.
Required Qualifications
  • Bachelor's degree in Electrical Engineering, Telecommunications, Aerospace Engineering, or a related field.
  • 5+ years of experience in telecommunications systems, particularly digital payloads (experience outside the space industry will also be considered).
  • Strong expertise in requirements verification through testing, including the development and execution of test plans.
  • Solid understanding of:
    • Digital payload architectures
    • Software Defined Radio (SDR)-based flexible processors
    • Digital beamforming using DRA
  • Hands-on experience with:
    • Vector Network Analyzers (VNA)
    • Spectrum Analyzers
    • Baseband Signal Generators
    • Channel Emulators
    • Bit Error Rate (BER) Testers
    • Python, MATLAB, or LabVIEW for test automation and data analysis
    • SCPI, VISA, and similar interfaces for instrument control
Preferred Qualifications
  • Experience with FPGA-based systems and embedded software architectures.
  • Experience supporting satellite payload verification, telecommunications systems, or aerospace programs.
  • Familiarity with RF system integration, system verification, and digital communication technologies.
  • Strong analytical, troubleshooting, and cross-functional collaboration skills.
Employment Type: FULL_TIME

Hikinex logo

About Hikinex

Sourced by ZipRecruiter

Hikinex is a multi-channel integrated service provider designed to help Companies scale fast and drive more profit. We leverage diverse resources to provide Superior services at a fraction of the cost.

Industry

Strategic planning consulting services

Company size

51 - 200 Employees

Headquarters location

San Francisco, CA, US

Year founded

2016

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