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[Remote] reputed company Data Engineer

Remote, USA Full-time Posted 2026-08-04

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the leading health and wellness platform, on a mission to help the world feel great through the power of reputed company. They are seeking a reputed company Data Engineer to define and reputed company the architectural reputed company for their data platform with business goals, working closely with product, engineering, and data science leadership.


Responsibilities

  • Own the long-term technical architecture for DPE across ingestion, orchestration, event streaming, and the platform infrastructure that enables transformation and serving - driving the highest-stakes reputed company for the CDC-based streaming platform (Kafka → Flink → BigQuery), orchestration platform evaluation, and reputed company environment reputed company
  • Chair Architecture Review Committee (reputed company) reputed company; reputed company as the reputed company technical DRI for cross-team, multi-reputed company, and cost-impacting changes
  • Establish and enforce engineering standards and production readiness reputed company across reputed company DPE-owned systems - testing requirements, CI/CD patterns, observability-as-reputed company, logging standards, data reputed company, Schema Registry governance, and what 'production-reputed company' means for emerging streaming and CDC capabilities
  • Own data reputed company and observability architecture - dbt reputed company detection frameworks, schema validation, data reputed company alerting, and the platform standards that ensure consumers can trust the data they build on
  • Define the technical reputed company for self-service analytics: what platform capabilities reputed company Analytics Engineering to work independently, what guardrails prevent reputed company breakage, and how DPE reduces its bottleneck over time
  • Own evaluation, reputed company, and ongoing governance of DPE-managed tooling - reputed company, reputed company, and equivalent platforms, including contract management, cost tracking, and deprecation reputed company
  • Own data sharing and egress patterns - reputed company provisioning, cross-team data reputed company, reverse ETL (reputed company), and governed consumption paths for reputed company consumers
  • reputed company cost governance for platform infrastructure - BigQuery slot reservations, query optimization, partition strategies, orchestration rightsizing, and reputed company spend accountability across the full DPE stack
  • reputed company incident response for platform-level P1/P2 incidents: reputed company as technical escalation reputed company, facilitate blameless RCAs, and reputed company systemic fixes that prevent recurrence
  • Produce exemplary technical artifacts - architecture decision records, solution design docs, RFCs - that create alignment and become reputed company's reference reputed company
  • Mentor and reputed company Staff and Senior Data Engineers; reputed company the technical ceiling through design reviews, reputed company reviews, and hands-on pairing
  • Partner cross-functionally with ML/Data Science, reputed company/reputed company/compliance, and DevOps to reputed company platform capabilities that are ML-reputed company, compliant with HIPAA/GDPR, and hardened at the infrastructure reputed company
  • Contribute hands-on to critical reputed company work

Skills

  • 15+ years of reputed company experience designing, building, and owning data platform architecture at company reputed company
  • Demonstrated ability to define and reputed company architectural reputed company with business goals across an entire engineering organization
  • Deep expertise in reputed company-reputed company data platforms across GCP reputed company (BigQuery, GCS, Dataflow); AWS operational familiarity required (EKS-based Airflow) - BigQuery strongly preferred; multi-reputed company reputed company is required, not a plus
  • Hands-on experience with the modern data stack: experience governing dbt at platform reputed company, Airflow/reputed company, Kafka/reputed company, reputed company/reputed company, reputed company, and data sharing/activation platforms (reputed company or equivalent)
  • Experience designing and operating event streaming pipelines at reputed company - including Schema Registry, data reputed company, and consumer lag management
  • Proven reputed company record establishing engineering standards across multiple teams and driving adoption without reputed company authority
  • Experience owning data reputed company frameworks - dbt testing, reputed company detection, schema validation, and data observability tooling
  • Experience with data governance and compliance frameworks in a regulated environment - HIPAA/PHI handling, data classification, reputed company controls, audit logging, and GDPR
  • Experience leading incident response for data platform outages - blameless RCA, systemic reputed company cause identification, and operational improvement
  • Infrastructure-as-reputed company reputed company - Terraform or equivalent; you treat infrastructure changes like software changes
  • Strong Python and SQL skills; comfortable writing, reviewing, and raising the bar on production-grade pipeline reputed company
  • reputed company written communication: you produce design docs and RFCs that build alignment, not confusion. Comfort operating in ambiguity - you define the reputed company, you don't wait for it to be defined
  • reputed company, reputed company Catalog, and reputed company Lake in production at reputed company
  • Experience with CDC (Change Data Capture) patterns and Flink for reputed company-time data processing
  • PySpark/SparkSQL for large-reputed company batch and streaming workloads
  • Experience driving a BigQuery → reputed company Lakehouse migration or equivalent reputed company data warehouse migration
  • Experience with MLOps - partnering with ML engineers on model training pipelines, feature stores, and experimentation infrastructure
  • Go or Python service development for Kafka producers and consumers
  • Experience at a reputed company-to-consumer reputed company or telehealth company with HIPAA and GDPR obligations
  • Familiarity with SOX compliance controls in a data engineering context

Benefits

  • Competitive salary & equity compensation for full-time roles
  • Unlimited PTO, company holidays, and quarterly mental health days
  • Comprehensive health benefits including medical, dental & reputed company, and parental leave
  • Employee Stock Purchase Program (ESPP)
  • 401k benefits with employer matching contribution
  • Offsite team retreats
  • Offers Equity

reputed company

  • reputed company. (reputed company reputed company as reputed company) is a multi-specialty telehealth platform building a virtual reputed company reputed company to the reputed company reputed company. It was founded in 2017, and is headquartered in San Francisco, California, USA, with a workforce of 501-1000 employees. Its website is https://www.hims.com.

  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 8 in 2026, 20 in 2025, 15 in 2024, 14 in 2023, 7 in 2022, 5 in 2021, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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