[Remote] Senior Data Engineer, Platform at Jobber

Remote

Jobber Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Home Services, SaaSIndustries

Requirements

  • Proven leadership skills and ability to lead and coach others
  • Expertise in designing, developing, and maintaining batch and real-time data pipelines within cloud infrastructure (preferably AWS)
  • Proficiency in Python, SQL, and AWS technologies (Glue, Lambda, ECS Fargate)
  • Experience building scripts, serverless applications, and automated workflows
  • Knowledge of tools like Airflow and dbt for ETL/ELT pipelines
  • Ability to develop tools and frameworks that automate manual processes, set up alerting/monitoring systems, and support data-driven experiments
  • Experience collaborating with cross-functional teams (data analysts, scientists, product teams) to extract actionable insights
  • Capability to research and propose new technologies and tooling for data stack, emphasizing performance and scalability
  • Participation in design and code reviews, with continuous learning and mentoring peers
  • Ownership of data integrity to maintain high trust across the organization

Responsibilities

  • Build scalable data solutions: Design, develop, and maintain batch and real-time data pipelines within cloud infrastructure (preferably AWS) using Python, SQL, and AWS technologies (Glue, Lambda, ECS Fargate); build scripts, serverless applications, and automated workflows
  • Empower internal teams: Develop tools and frameworks that automate manual processes, set up alerting/monitoring systems, and help teams run data-driven experiments and analyze results; work closely with cross-functional teams to support their needs and ensure data accessibility
  • Accelerate business growth: Collaborate with data analysts, scientists, and product teams to extract actionable insights from data; utilize tools like Airflow and dbt to streamline ETL/ELT pipelines and ensure seamless data flow
  • Strategic planning and innovation: Lead initiatives to research and propose new technologies and tooling for the data stack, with emphasis on performance and scalability; participate in design and code reviews, continuously learning from and mentoring peers
  • Own the integrity of data and maintain a high level of trust across the organization
  • Report to the Manager of Data Engineering and contribute to the Data Platform team building Jobber’s data infrastructure and systems

Skills

Data Engineering
Data Platform
ETL
SQL
Python
Spark
Kafka
AWS
Snowflake
dbt

Jobber

SaaS platform for home service management

About Jobber

Jobber provides software solutions tailored for home service businesses, helping them manage operations like quoting, scheduling, invoicing, and payment collection. The platform operates on a subscription model, allowing small to medium-sized businesses in industries such as cleaning, landscaping, plumbing, and HVAC to access its features for a recurring fee. Jobber simplifies the management process, making it easier for businesses to serve their customers. It includes a mobile app and offers unlimited one-on-one support, along with resources like salary reports to assist in hiring. Jobber's goal is to enhance the efficiency and effectiveness of home service businesses.

Edmonton, CanadaHeadquarters
2011Year Founded
$180.7MTotal Funding
SERIES_DCompany Stage
Consumer Software, Enterprise SoftwareIndustries
501-1,000Employees

Benefits

Health Insurance
401(k) Retirement Plan
401(k) Company Match
Paid Vacation
Paid Sick Leave
Parental Leave
Professional Development Budget
Wellness Program

Risks

Increased competition from AI-driven platforms may reduce Jobber's market share.
Economic fluctuations could impact small businesses' ability to afford Jobber's services.
Integration issues with third-party services may lead to customer dissatisfaction.

Differentiation

Jobber offers a comprehensive SaaS platform for home service businesses.
The platform integrates AI tools like Jobber Copilot for enhanced decision-making.
Jobber's subscription model includes features like quoting, scheduling, and invoicing.

Upsides

Jobber's AI-powered Copilot enhances business strategies and operations.
The partnership with Stripe offers embedded financial services for better cash flow management.
Jobber's new marketing tools help businesses grow through online reviews and campaigns.

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