{"id":743122,"url":"https://alion.io/job/mykaarma-senior-data-engineer","title":"Senior Data Engineer","company":{"id":679401,"name":"myKaarma","domain":"mykaarma.com","url":"https://alion.io/company/mykaarma-2","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17000,"max_usd":37000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Looker","optional":false},{"name":"LookML","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Java","optional":true},{"name":"Spring Boot","optional":true}],"status":"live","first_seen_at":"2026-09-11T09:47:03Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-10-29T00:50:44Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"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.\nmyKaarma 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.\nWe 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.\nRole Description:\nAs 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.\nYou 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.\nYou'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.\nKey Responsibilities:\nDesign and implement end-to-end automated testing for critical reporting outputs across dbt, LookML, and associated data products.\nBuild CI/CD guardrails that prevent unsafe changes from reaching production, including environment separation, release checks, and rollback readiness.\nDefine and operate data-quality controls: schema tests, variance monitoring, freshness checks, anomaly detection, and reconciliation to the DMS source-of-truth.\nEstablish visibility into dependencies and lineage so teams can assess downstream impact before changing shared fields, models, or contracts.\nImplement agreed standards for V2 Explores, dbt models, semantic definitions, and reusable reporting components.\nPartner with upstream and downstream teams to implement data contracts, schema-change notification, contract tests, and delivery evidence for OEM feeds.\nParticipate in and help mature the reporting on-call rotation; lead root-cause analysis, corrective actions, and repeat-incident reduction.\nDocument engineering standards and automate their enforcement so quality does not depend on individual memory or manual review.\nMentor engineers contributing to the reporting stack and review changes against documented specifications and operating standards.\nImplement technical controls that support the agreed data-governance model, including ownership metadata, lineage, quality rules, and controlled change workflows.\nRequired Skills and Qualifications:\nFive 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.\nAdvanced SQL and strong data-modeling fundamentals, including explicit grain, dimensional modeling, late-arriving facts, slowly changing dimensions, idempotency, and reconciliation.\nProduction experience with dbt or an equivalent transformation framework, including tests, documentation, modular modeling, and CI/CD integration.\nExperience operating a cloud analytical warehouse; BigQuery is preferred, and comparable depth in Snowflake, Redshift, or Synapse is transferable.\nExperience with a semantic or BI modeling layer; LookML/Looker is preferred.\nProficiency in Python or an equivalent language for data tooling, validation, and automation.\nDemonstrated ownership of data-quality, observability, incident response, and reliability outcomes-not only pipeline development.\nExperience with Git-based engineering workflows, code review, automated deployment, and production change controls.\nAbility to communicate tradeoffs clearly with product, engineering, analytics, and business stakeholders.\nNice to Have Skills & Qualifications\nExperience implementing data-governance controls or operating models, such as ownership, lineage, cataloging, quality policies, access controls, or schema-change governance.\nExperience with multi-tenant SaaS reporting, shared semantic models, and customer-facing analytical SLAs.\nHands-on work with data contracts, event-driven architectures, streaming systems, Kafka/Confluent, or Pub/Sub.\nExperience with cross-source canonical modeling, especially where upstream systems represent the same business entity differently.\nExperience supporting externally delivered data feeds, OEM/partner reporting, or regulated/auditable data products.\nHistory of mentoring engineers and scaling standards across multiple contributing teams.\nExperience with Java application development and the Spring Boot framework.\nWe value diverse experiences and backgrounds, so we encourage you to apply if you meet some but not all of the listed qualifications.\nTotal Rewards at myKaarma\nAt 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:\nFlexible 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.\nHealth and Wellness: Comprehensive medical, dental, vision, life, and disability benefits, along with wellness and telework stipends.\nTime Off: Generous vacation time to recharge and balance life outside work.\nIn-Office Perks: Enjoy dog-friendly offices and unlimited snacks or refreshments onsite.\nThe 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.\nOur Commitment to Inclusion\nAt 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.\nAs 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.\nApplicants 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 outthis form.\nmyKaarma participates in theE-Verify Program.\nmyKaarma considers candidates requiring work authorization on a case-by-case basis. 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