Data Engineer, Forward Deployed Engineer

Kyndryl

. Design, optimize, and maintain scalable ETL/ELT pipelines for high-volume batch processing and low-latency real-time streaming .

Posted 9/16/2026full-timeFrisco • Texas • United StatesMid-LevelSenior💰 $143,640 - $273,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing ETL/ELT pipelines, database modeling, and cloud-native deployments, with a strong focus on data quality and observability. Proficient in leveraging advanced coding skills in Python and SQL to build scalable, production-ready systems in regulated environments.

Highest-signal resume keywords

ETL/ELT Pipeline DesignPython ProgrammingAdvanced SQL OptimizationCloud Deployment (AWS, Azure, GCP)Vector Database Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL/ELT Pipeline DesignPython ProgrammingAdvanced SQL OptimizationDatabase ModelingDistributed ComputingVector Database ImplementationData Quality FrameworksAPI DevelopmentCI/CD Pipeline MonitoringAgile Methodologies

Soft Skills

CollaborationProblem-SolvingDocumentation

Tools & Technologies

AirflowDbtKafkaDockerKubernetesGreat ExpectationsDataHubGitGitHub

Certifications & Qualifications

Cloud-Native Technical Certifications (AWS, Azure, GCP)Advanced Technical Certifications in Database EngineeringAdvanced Technical Certifications in Data ArchitectureAdvanced Technical Certifications in Machine Learning

Industry Keywords

Financial ServicesHealthcarePublic SectorData Protection RegulationsCompliance Standards

Tech Stack

Tools & technologies

AirflowAWSAzureCloudDistributed SystemsDockerETLGoogle Cloud PlatformKafkaKubernetesPythonSQL

About the role

Key responsibilities & impact

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 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 AI search, RAG, and agent memory structures
Construct secure, high-throughput API endpoints for autonomous systems interacting with distributed datasets
Design and configure feature stores for machine learning pipelines and real-time inference
Implement data quality and pipeline observability frameworks
Log pipeline activities, track metadata lineage, and establish automated testing to prevent schema drift
Align technical solutions with industry compliance, security, and data protection regulations
Capture deployment insights and document best practices
Feed field learnings into Kyndryl’s 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 and reduced technical debt
Move projects from scoping and proof-of-concepts to hardened, production-ready systems in live customer environments

Requirements

What you’ll need

Strong, production-grade coding proficiency in Python and advanced SQL optimization
Practical experience designing, building, and orchestrating ETL/ELT pipelines using Airflow, dbt, and Kafka
Extensive technical expertise in database modeling, distributed computing, and deploying resources within AWS, Azure, or GCP
Hands-on experience implementing vector databases such as Pinecone, Milvus, Chroma, or Weaviate and vector indexing strategies
Working knowledge of data quality, pipeline lineage, and 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
Prior experience in highly regulated industries such as Financial Services, Healthcare, or the Public Sector preferred
Experience scaling deployments with Docker and Kubernetes preferred
Familiarity with semantic modeling, metadata management, and AI agent integration patterns preferred
Experience building and monitoring CI/CD pipelines, using Git and GitHub, and delivering software under Agile methodologies preferred
Advanced technical certifications in database engineering, data architecture, or machine learning preferred
Master’s degree in Computer Science, Data Engineering, or a related discipline preferred
Must reside within a commutable distance of Frisco, TX; relocation assistance is not provided
May need to show proof of COVID-19 vaccination when working at a client, customer, or partner location

Benefits

Comp & perks

Discretionary annual bonus program based on performance
Medical and dental coverage
Disability benefits
Retirement benefits
Paid leave
Paid time off
Employee learning programs
Access to certifications, including Microsoft, Google, Amazon, Skillsoft, and many more
Company-wide volunteering and giving platform
Opportunities to donate, start fundraisers, volunteer, and search nonprofit organizations
Inclusion Networks and workplace support
State-of-the-art resources and Fortune 100 clients