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Kyndryl

Managed IT infrastructure and cloud services

Forward Deployed Data Engineer - Forward Deployed Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeFrisco, TX, USA

About the Job

Requirements

  • Strong, production-grade coding proficiency in Python and advanced SQL optimization.
  • Practical experience designing, building, and orchestrating ETL/ELT pipelines using tools such as Airflow, dbt, and Kafka.
  • Extensive technical expertise in database modeling, distributed computing, and deploying resources within cloud-native environments such as AWS, Azure, or GCP.
  • Hands-on experience implementing vector databases such as Pinecone, Milvus, Chroma, or Weaviate, and vector indexing strategies for high-context search.
  • Working knowledge of data quality, pipeline lineage, and modern data observability tools such as Great Expectations and DataHub.
  • Cloud-native technical certifications on AWS, Azure, or GCP, or demonstrated willingness to achieve certifications during employment.
  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a closely related technical field, or equivalent practical professional experience.
  • Ability to thrive in dynamic, fast-moving environments and navigate ambiguity.
  • Ability to translate real-world data challenges into software solutions and build relationships with technical teams and client stakeholders.

Responsibilities

  • Design, optimize, and maintain scalable ETL/ELT pipelines for high-volume batch processing and low-latency real-time streaming.
  • Architect distributed systems and database models across hybrid and cloud-native environments, optimizing for performance, scale, and cost.
  • Diagnose, debug, and resolve performance bottlenecks across database schemas and distributed data layers.
  • Deploy, index, and manage vector databases and semantic layers for high-context AI search, retrieval-augmented generation, and agent memory structures.
  • Construct secure, high-throughput API endpoints that enable autonomous systems to interact with distributed datasets.
  • Design and configure feature stores to support active machine learning pipelines and real-time inference loops.
  • Implement data quality and pipeline observability frameworks to ensure high-fidelity data delivery to downstream systems.
  • Log pipeline activities, track metadata lineage, and establish automated testing loops to prevent schema drift.
  • Ensure technical solutions align with industry compliance, security, and data protection regulations.
  • Capture deployment insights, document field best practices, and feed learnings back into core technology platforms and frameworks.
  • Collaborate across global teams and practices to prioritize customer outcomes.
  • Balance rapid software delivery and field prototyping with long-term platform stability, reducing technical debt as solutions mature.

Desired Qualifications

  • Prior experience designing and implementing data pipelines in highly regulated industries such as Financial Services, Healthcare, or the Public Sector.
  • Hands-on experience scaling deployments using containerization tools such as Docker and Kubernetes.
  • Familiarity with semantic modeling techniques, metadata management, and integration patterns for AI agent architectures.
  • Experience building and monitoring CI/CD pipelines, utilizing version control with Git and GitHub, and delivering software under Agile methodologies.
  • Advanced technical certifications in specialized database engineering, data architecture, or machine learning.
  • Master’s degree in Computer Science, Data Engineering, or a related discipline.

About the Company

Kyndryl

Managed IT infrastructure and cloud services

Kyndryl provides managed IT infrastructure services for large enterprises, helping them run and modernize their technology environments. Its offerings cover cloud adoption, cybersecurity, security operations, and digital workplace services, all delivered under long-term managed-service contracts. The company works by partnering with major technology providers (including Microsoft) to offer integrated, end-to-end solutions, often complemented by a new security operations center (SOC) and other security capabilities. This focus sets it apart from competitors through scale, enterprise-grade governance, and a history rooted in IBM’s infrastructure services, now independent but aligned with large technology partners. The goal is to support digital transformation by providing reliable, scalable, and secure infrastructure management that enables enterprises to operate efficiently and securely in a cloud-enabled world.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
2021

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