Jobber · 3 months ago
Senior Data Engineer, Platform
Jobber is a company dedicated to helping small businesses succeed through technology. They are seeking a Senior Data Engineer to contribute to their Data Platform team by building scalable data solutions, empowering internal teams, and collaborating to extract actionable insights from data.
MobileSaaSSmall and Medium BusinessesTask Management
Responsibilities
Build Scalable Data Solutions: Design, develop, and maintain batch and real-time data pipelines within cloud infrastructure (preferably AWS). Leverage Python, SQL, and AWS technologies (Glue, Lambda, ECS Fargate) to ensure smooth data operations. 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 the seamless flow of data
Strategic Planning and Innovation: Lead initiatives to research and propose new technologies and tooling for our data stack, with an emphasis on performance and scalability. Participate in design and code reviews, continuously learning from and mentoring your peers
Data Integrity: Own the integrity of our data and maintain a high level of trust across the organization
Qualification
Required
Proven ability to lead and collaborate in team environments, fostering a culture of shared success
Strong coding skills in Python and SQL
Expertise in building and maintaining ETL pipelines using tools like Airflow and dbt
Experience working with AWS data infrastructure, particularly Redshift, Glue, Lambda, and ECS Fargate
Familiarity with handling large datasets using tools like Spark or similar (e.g., Trino)
Experience with Terraform for infrastructure management
Experience with dimensional modelling, star schemas, and data warehousing in a cloud environment (preferably AWS Redshift)
Knowledge of CI/CD processes, data ingestion, and optimizing data flow across systems
Proficient in working with high-volume, scalable data infrastructure
Ability to collaborate effectively with both technical and non-technical teams, explaining complex data concepts in a clear and concise manner
Preferred
Experience with AWS tools like EMR and SageMaker
Familiarity with Kafka for stream processing and message queuing
Knowledge of NoSQL databases
Hands-on experience with integration and APIs
Benefits
Equity rewards
Annual stipends for health and wellness
Retirement savings matching
Extended health package with fully paid premiums for body and mind
Dedicated Talent Development team
Access to coaching, learning, and leadership programs
Support for all your breaks: from vacation to rest and recharge, your birthday off to celebrate, health days to support your physical and mental health, and parental leave top-ups to support your growing family
Company
Jobber
Jobber is cloud software that helps mobile service businesses organize their scheduling, invoicing, CRM, and team management.
H1B Sponsorship
Jobber has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
Funding
Current Stage
Late StageTotal Funding
$183.46MKey Investors
General AtlanticSummit PartnersOMERS Ventures
2023-02-07Series D· $100M
2021-01-12Series C· $59.81M
2018-01-01Series B· $16M
Recent News
2025-12-15
Tech Funding News
2025-11-05
Company data provided by crunchbase