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Senior Data Engineer

Nov*** · United States · Remote
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United States101,100-161,800 USD/yearlyRemote
Remuneration
101,100-161,800 USD/yearly
Location
United States · Remote
Eastern Daylight Time (UTC-4)
Visa sponsorship
Sponsors visa

Job summary

Build a career powered by innovations that matter! At Nov***, our innovations power technology products that are transforming healthcare and advanced manufacturing—improving productivity, enhancing people’s lives and redefining what’s possible.

Benefits

To make your quality of life betterTravel

Qualifications

  • You have found it with a culture that embraces teamwork, collaboration and empowerment.
  • Partner with the AI/analytics team on feature-table patterns, golden-record exposure, and the data foundations required to support emerging agentic applications across Finance, Operations, and Commercial.
  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related quantitative field; equivalent professional experience considered.
  • You have designed a dbt project from scratch and maintained it in production.
  • Hands-on experience with Kimball dimensional modeling — star schemas, conformed dimensions, fact grain decisions, surrogate keys, and SCD Type 1 and Type 2 patterns.
  • Production experience with at least one ingestion tool (Fivetran, Airbyte, Informatica, or Matillion) and one orchestrator (dbt Cloud, Airflow, Dagster, or Azure Data Factory).
  • You are not required to be a software engineer; you are required to write maintainable Python that solves data problems.
  • Direct experience modeling data sourced from at least one major enterprise ERP (Oracle, SAP S/4HANA, SAP ECC, Microsoft Dynamics, or comparable).
  • Experience supporting AI/ML, RAG, or agentic workloads from a warehouse layer (feature tables, embeddings, semantic metadata).
  • Table-level experience with SAP ECC and/or S/4HANA finance and logistics tables (e.g., BSEG, BKPF, MARA, EKKO, VBAK).
  • Hands-on experience with Power BI semantic models, DAX, and certified dataset patterns.
  • Prior data engineering or analytics experience in manufacturing, medical devices, or another regulated industry.

Responsibilities

  • You will set the modeling, testing, naming, documentation, and CI/CD standards that the future Data Engineer and MDM hires on this team will inherit.

Skills

CommunicationLeadershipSAPTeamwork

Certifications

GitHub Actions

Degrees

AssociateDegree

Languages

Arabic

Travel

Occasional travelTravel

Industry

AutomotiveDefenseEducationEnergyHealthcareLogisticsManufacturingPublic-sector

Company size

EnterpriseSmb