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Senior Data Engineer

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Employment
Full-time — employment source
Employment type in the employer’s posting: SALARIED_FT
From the employer’s posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
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
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What you’ll work on

Full posting

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.

  • Build end-to-end automated tests for critical reporting outputs across dbt and LookML

  • Build CI/CD guardrails with environment separation, release checks, and rollback readiness

  • Run data-quality controls including schema tests, freshness checks, and reconciliation to the DMS source

  • Map dependencies and lineage so teams can assess impact before changing shared models or fields

  • Partner on data contracts and schema-change notices for OEM feeds

From the employer’s posting
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.
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.
Partner with upstream and downstream teams to implement data contracts, schema-change notification, contract tests, and delivery evidence for OEM feeds.
Apply at myKaarma

Posting record

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Status in our records
Live
First seen by us
Sep 13, 202661 days ago
Recorded sightings
38
Last seen by us
Nov 13, 2026
Employer says posted
Sep 11, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 61

Up longer than most. Similar jobs usually come down between day 6 and day 56.

From 13,630 similar postings that came down. Coming down is not always a hire.

myKaarma is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Python
  • SQL
  • BigQuery
  • dbt
  • Kafka
  • Looker
  • Redshift
  • Snowflake
Where the posting names them
- 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.
- 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.
- 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.
- 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.
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.
- 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.
- 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 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 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.

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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

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Pay

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Location & working pattern

Noida, India

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Work authorization
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

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