Nexus Cognitive

Nexus Cognitive

Senior Engineer

Remote - US · Senior

Sponsorship not specifiedDetected 53 days ago
PythonJavaScalaCode ReviewSQLAWSGCPAzureTerraformKafkaAirflowdbtData EngineeringData ScienceAgentic AIIncident ResponseLeadership

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Files H-1B transfers

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About the role

  • ABOUT NEXUS You don't have an AI story if you don't have your data story.
  • One identity, one governance envelope, one operational layer across every mainframe, data lake, warehouse, and streaming system in the business.
  • For the first time, enterprises can bring their existing stack along instead of rebuilding it - and still give AI agents full context across the estate.

Responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines that ingest, transform, and deliver data from a variety of internal and external sources
  • Develop and optimize data models and schemas that support analytics, reporting, and downstream application needs
  • Partner with analytics, product, and engineering teams to understand data needs and translate them into durable data solutions
  • Participate in on-call or incident response rotations as needed to support production data systems
  • Hands-on experience building and operating ETL/ELT pipelines in a production environment
  • This role is a strong fit for someone who enjoys owning pipelines end-to-end and who cares as much about data quality and reliability as about building new capability.

Requirements

  • 4+ years of professional experience in data engineering or a closely related discipline
  • Strong proficiency in SQL and at least one programming language commonly used for data engineering (e.g., Python, Scala, or Java)
  • Experience working with cloud data platforms (e.g., AWS, GCP, or Azure) and modern data warehousing tools
  • Comfort working with large, complex datasets and diagnosing data issues independently

Nice to have

  • Experience with orchestration tools such as Airflow, Dagster, or similar
  • Familiarity with streaming data technologies (e.g., Kafka, Kinesis)
  • Experience with dbt or similar transformation frameworks
  • Exposure to infrastructure-as-code practices (e.g., Terraform)
  • Prior experience supporting analytics or data science teams directly
  • A collaborative team culture built on curiosity and respect
  • Challenging work where your contributions clearly matter
  • The opportunity to work at the intersection of cloud, data, and AI innovation

Skills

  • That's where NexusOne comes in.
  • What we stand for is simple:
  • sovereign data, interoperable systems, decoupled intelligence - delivered the way modern software should be.
  • No rip-and-replace.
  • No multi-year transformation.
  • Our CEO Anu Jain puts it well:
  • 85+ open-source tools pre-integrated.
  • AI-native automations that deploy and self-heal the stack without human toil.
  • It's working, and fast.
  • Our platform processes credit risk data for 90%+ of US small businesses - 40M+ - every month.
  • Intent signals for 300M+ subscribers monthly for Africa's largest telco.
  • The data and AI layer for a Top 3 US bank.

Benefits

  • Monitor pipeline health, troubleshoot data quality issues, and implement alerting and observability practices

Company info

  • We're looking for a Senior Engineer to design, build, and maintain the data infrastructure that powers analytics, reporting, and product features across the company.
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This listing is sourced directly from Nexus Cognitive's careers page and normalized into a canonical job model.