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Day 61
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Noida, India
Live, first seen by us 61 days agoEmployment type in the employer’s posting: SALARIED_FTFrom the employer’s posting
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 needRead the 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
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.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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.
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Hiring recordAdd 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.
- 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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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
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.
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.
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.
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:
Required Skills and Qualifications:
Nice to Have Skills & Qualifications
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:
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
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Noida, India
Working pattern and location restrictions need checking in the full posting.
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