Every day, millions of vehicle owners depend on dealership service departments to keep them on the road. We build the software that helps those service teams communicate with customers, schedule repairs, approve work, collect payments, and deliver a better experience from start to finish.
myKaarma is a leading SaaS platform serving dealerships across North America. Headquartered in Long Beach, California, with a global team, we're growing by solving real operational problems with practical technology.
We believe the best ideas come from people who take ownership, question how things can be improved, and care deeply about the customer experience. If you're excited to build products that have measurable impact, we'd love to meet you.
Role Description:
As a Senior Data Engineer, you will build and run the engineering controls that make Mykaarma's reporting products, shared data models, and downstream feeds reliable, testable, traceable, and safe to change.
You will translate the reporting platform's architectural direction into durable production mechanisms. You'll be accountable for automated testing, release safety, data quality, reconciliation, dependency visibility, and operational reliability across the transformation and semantic layers.
You'll think in data products rather than isolated tables or dashboards, and you'll understand how grain, late-arriving data, slowly changing dimensions, cross-DMS variation, and join fan-out affect business correctness—not just query performance.
Key Responsibilities:
- Design and implement end-to-end automated testing for critical reporting outputs across dbt, LookML, and associated data products.
- Build CI/CD guardrails that prevent unsafe changes from reaching production, including environment separation, release checks, and rollback readiness.
- Define and operate data-quality controls: schema tests, variance monitoring, freshness checks, anomaly detection, and reconciliation to the DMS source-of-truth.
- Establish visibility into dependencies and lineage so teams can assess downstream impact before changing shared fields, models, or contracts.
- Implement agreed standards for V2 Explores, dbt models, semantic definitions, and reusable reporting components.
- Partner with upstream and downstream teams to implement data contracts, schema-change notification, contract tests, and delivery evidence for OEM feeds.
- Participate in and help mature the reporting on-call rotation; lead root-cause analysis, corrective actions, and repeat-incident reduction.
- Document engineering standards and automate their enforcement so quality does not depend on individual memory or manual review.
- Mentor engineers contributing to the reporting stack and review changes against documented specifications and operating standards.
- Implement technical controls that support the agreed data-governance model, including ownership metadata, lineage, quality rules, and controlled change workflows.
Required Skills and Qualifications:
- Five or more years of relevant data-engineering or analytics-engineering experience in production; exceptional four-year candidates may qualify with equivalent end-to-end ownership.
- Advanced SQL and strong data-modeling fundamentals, including explicit grain, dimensional modeling, late-arriving facts, slowly changing dimensions, idempotency, and reconciliation.
- Production experience with dbt or an equivalent transformation framework, including tests, documentation, modular modeling, and CI/CD integration.
- Experience operating a cloud analytical warehouse; BigQuery is preferred, and comparable depth in Snowflake, Redshift, or Synapse is transferable.
- Experience with a semantic or BI modeling layer; LookML/Looker is preferred.
- Proficiency in Python or an equivalent language for data tooling, validation, and automation.
- Demonstrated ownership of data-quality, observability, incident response, and reliability outcomes—not only pipeline development.
- Experience with Git-based engineering workflows, code review, automated deployment, and production change controls.
- Ability to communicate tradeoffs clearly with product, engineering, analytics, and business stakeholders.
Nice to Have Skills & Qualifications
- Experience implementing data-governance controls or operating models, such as ownership, lineage, cataloging, quality policies, access controls, or schema-change governance.
- Experience with multi-tenant SaaS reporting, shared semantic models, and customer-facing analytical SLAs.
- Hands-on work with data contracts, event-driven architectures, streaming systems, Kafka/Confluent, or Pub/Sub.
- Experience with cross-source canonical modeling, especially where upstream systems represent the same business entity differently.
- Experience supporting externally delivered data feeds, OEM/partner reporting, or regulated/auditable data products.
- History of mentoring engineers and scaling standards across multiple contributing teams.
- Experience with Java application development and the Spring Boot framework.
We value diverse experiences and backgrounds, so we encourage you to apply if you meet some but not all of the listed qualifications.
Total Rewards at myKaarma
At myKaarma, we offer a comprehensive Total Rewards package that extends beyond the base salary. Our commitment to competitive compensation includes bonuses and benefits that support both personal and professional well-being:
- Flexible Work Environment: We embrace a high-performance, flexible structure that values freedom and responsibility. Our “Highly Aligned, Loosely Coupled” model empowers teams to innovate and continuously improve using data-driven insights.
- Health and Wellness: Comprehensive medical, dental, vision, life, and disability benefits, along with wellness and telework stipends.
- Time Off: Generous vacation time to recharge and balance life outside work.
- In-Office Perks: Enjoy dog-friendly offices and unlimited snacks or refreshments onsite.
The salary range for this role depending on experience and qualifications, reflecting our dedication to competitive industry compensation. Additional details about our Total Rewards package will be shared during recruitment.
Our Commitment to Inclusion
At myKaarma, diverse perspectives drive innovation and success. We are committed to creating a safe, welcoming, and inclusive workplace where every employee feels valued and empowered and can do meaningful work. Our mission to deliver exceptional solutions to our clients is strengthened by the unique contributions and perspectives of our team members from all backgrounds.
As an equal opportunity employer, myKaarma prohibits any form of unlawful discrimination or harassment based on race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability, age, veteran status, or any other status protected by applicable laws in the regions where we operate. We adhere to all EEOC regulations and actively promote an environment that celebrates and supports diversity, equity, and inclusion for all.
Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. Reasonable accommodation is a change in the way things are normally done, which will ensure an equal employment opportunity without imposing undue hardship on myKaarma. Please let us know if you require reasonable accommodations during the application or interview process by filling out this form.
myKaarma participates in the E-Verify Program.
myKaarma considers candidates requiring work authorization on a case-by-case basis. Sponsorship may be available for exceptional candidates depending on role requirements and business need
Skills Required
- Five or more years of relevant production data-engineering or analytics-engineering experience; exceptional four-year candidates may qualify with equivalent end-to-end ownership.
- Advanced SQL and strong data-modeling fundamentals, including dimensional modeling, late-arriving facts, slowly changing dimensions, idempotency, and reconciliation.
- Production experience with dbt or an equivalent transformation framework, including testing, documentation, modular modeling, and CI/CD integration.
- Experience operating a cloud analytical warehouse; BigQuery preferred, with Snowflake, Redshift, or Synapse considered transferable.
- Experience with a semantic or BI modeling layer; LookML or Looker preferred.
- Proficiency in Python or an equivalent language for data tooling, validation, and automation.
- Ownership of data quality, observability, incident response, and reliability outcomes.
- Experience with Git-based engineering workflows, code review, automated deployment, and production change controls.
- Ability to communicate tradeoffs clearly with product, engineering, analytics, and business stakeholders.
- Experience implementing data-governance controls or operating models, including ownership, lineage, cataloging, quality policies, access controls, or schema-change governance.
- Experience with multi-tenant SaaS reporting, shared semantic models, and customer-facing analytical SLAs.
- Experience with data contracts, event-driven architectures, streaming systems, Kafka, Confluent, or Pub/Sub.
- Experience with cross-source canonical modeling.
- Experience supporting externally delivered data feeds, OEM or partner reporting, or regulated and auditable data products.
- Experience mentoring engineers and scaling standards across multiple contributing teams.
- Experience with Java application development and Spring Boot.
What We Do
Everything Fixed Ops...In One Place myKaarma is a cloud-based software company with a focus on enhancing the retail experience for both consumers and dealer personnel at franchise car dealerships in the U.S. and Canada. The myKaarma app gives the dealership the ability to offer 21st-century technology such as digital conversations (Text, Email, Voice), appointment setting, and smart payment systems (Mobile, POS) with auto-reconciliation, all in one application that seamlessly integrates with the dealer’s current Dealer Management System (DMS). Our solutions are centered around the belief that a dealer shouldn’t; ”have to do work - to do work.” our sophisticated and natural design flow creates effortless, easy, and exceptional interactions. Built upon an industry-leading platform. myKaarma delivers good karma for vehicle owners and dealers alike by making the service experience better for all. myKaarma has completed over $6.5 Billion in payments processed, 145 million text messages transmitted, and over 2 million videos recorded. Customers have realized a 30% lift in Repair Order (RO) dollars when using our solution. myKaarma is an advanced end-to-end platform with scheduling, communications, payment, pickup and delivery, video MPI, BDC solutions, and insightful reporting. myKaarma is headquartered in Long Beach, CA.









