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RevStar
RevStar
51 – 200 Angajați
B2BConsultanțăInteligență artificială
RevStar este o companie de consultanță în transformare digitală, care ajută organizațiile să transforme prioritățile strategice în produse și servicii funcționale. Echipa sa reunește planificarea creșterii, proiectarea parcursului clientului, planificarea utilizării inteligenței artificiale și a inteligenței artificiale generative, infrastructura de date, testarea produselor, dezvoltarea MVP-urilor și modernizarea tehnologiei. RevStar colaborează cu lideri din domeniul sănătății, al asigurărilor și al finanțelor pentru a aborda provocări esențiale, conectând direcția strategică cu execuția tehnică practică. Informațiile disponibile nu precizează contextul de recrutare al companiei.
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Locurile de muncă ale companiei

Remote Data and AI Engineer

Build cloud-agnostic Databricks Lakehouse pipelines and production AI solutions as RevStar’s Data and AI Engineer. Create scalable data architectures, MLOps workflows, and governance practices, and hand off solutions to client teams.

USStatele Unite ale AmericiiAZArizonaFLFloridaILIllinoisIAIowaMEMaineNJNew JerseyNYNew YorkSCCarolina de SudTXTexasVAVirginiaRemoteNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăInginer AIInginer de învățare automată
ApacheAWSAzureCloudETLGoogle Cloud PlatformPythonSparkSQLTerraformUnity

Descriere

  • Build and optimize ETL/ELT pipelines with Apache Spark and Delta Lake across AWS, Azure, and GCP.
  • Create Lakehouse architectures for structured and unstructured enterprise data.
  • Automate data ingestion, storage, and feature engineering for analytics and real-time AI workloads.
  • Optimize Spark jobs for low latency, high throughput, and efficient cloud spending.
  • Work with ML engineers and data scientists to deploy AI models in Databricks using MLflow.
  • Build CI/CD pipelines and infrastructure as code with Terraform and the Databricks CLI.
  • Apply enterprise security, access controls, and GDPR, HIPAA, and SOC 2 compliance standards in Unity Catalog and cloud environments.
  • Work with client technology leaders, product managers, and engineering teams to turn AI data needs into business outcomes.
  • Write technical documentation and lead solution handoffs to client engineering teams.
  • Report to the Product Manager or Engineering Lead.

Cerințe

  • At least 3 years of cloud-native data engineering experience.
  • At least 2 years of hands-on experience with Databricks, Apache Spark, Delta Lake, and MLflow.
  • Strong skills in Python, SQL, Spark frameworks, CI/CD, and infrastructure as code using Terraform or the Databricks CLI.
  • An active Databricks Certified Data Engineer (Associate or Professional) or Databricks ML Professional certification is strongly preferred.
  • Experience working in fast-paced Agile and DevOps consulting environments.
  • Experience delivering cloud-agnostic architectures.
  • Excellent client communication skills.
  • Must meet U.S. work authorization requirements for direct W-2 employment through E-Verify.

Beneficii

  • Paid time off to recharge.
  • Remote-first work with a globally connected team.
  • Medical, dental, and vision coverage.
  • Company-sponsored 401(k) retirement plan.
  • Annual stipend for learning and development, including conferences, certifications, and courses.
  • Peer mentorship and coaching from experienced engineers, product managers, and architects.
  • Professional growth through exposure to AWS generative AI, data, and cloud technologies across industries.
  • Company outings and volunteer opportunities.
  • A collaborative, innovative workplace that values curiosity and initiative.

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