Data Scientist Supervisor Jobs, Employment in Dallas,TX Now Hiring September 2026

Ability to travel to or commute between data center locations as needed
Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational
Travel frequency will vary based on business needs and operational status of assigned facility
Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs.
2+ years of data center, critical environment, computer hardware repair, infrastructure cabling, network deployment, or data center operations experience, or experience in similar technical roles
2+ years of network cabling, fiber optics, and test equipment including VFL, power meter, and OTDR experience
Experience with network hardware: copper and optical fiber cabling, switches, routers
Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds
Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed
Working in cramped and/or elevated and/or noisy environments
Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day
Ascending and descending ladders, stairs, and gangways safely and without limitation

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Applications Development Senior Programmer Analyst - Assistant Vice President

Citi

Irving, TX 75061

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Senior Data Architect

Hilti

Garland, TX 75040

~ 26 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or master's in computer science, Information Systems, Data Engineering, or related field (or equivalent experience).
10+ years designing and delivering enterprise data solutions, including hands-on work with both traditional DBMS and cloud native data platforms.
5+ years building on cloud platforms with production experience in several of: S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker.
Demonstrated expertise implementing data propagation Lakehouse patterns and governance at scale.
Proven track record supporting AI/ML workloads (feature stores, model data pipelines) and delivering RAG solutions with vector search on AWS.
Strong SQL and Python; proficiency in data modeling-IFC (preferred), 3NF, dimensional/star, data vault, etc.
DBMS: SQL Server, PostgreSQL (schema, indexing, query planning, replication/HA, partitioning, backup/restore).
Data Engineering: Spark/EMR, Glue (ETL/ELT & Studio), Airflow/Step Functions orchestration, Parquet/Delta/Iceberg.
Streaming/CDC: MSK/Kinesis, DMS (change data capture), event driven patterns.
Security & Governance: IAM, KMS, Lake Formation, Secrets Manager, data masking/tokenization, RBAC/ABAC.
AI/LLM enablement: Amazon Bedrock (Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval, prompt design, token optimization, evaluation loops.
Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs, cost controls (storage/compute), workload rightsizing.
This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship.
DevOps/MLOps/IaC:Git, CI/CD for data pipelines; Terraform/CDK; environment promotion; artifact/versioning; blue/green or canary for data jobs.

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Manager, Oracle Data & Analytics

KPMG

Dallas, TX 75217

Onsite

Minimum five years of recent experience with Fusion Data Intelligence (FDI) across one or more of Finance, Supply Chain, and Human Capital Management subject areas
Experience with Oracle AI Data Platform (AIDP), and Oracle Autonomous Data Lakehouse (ADL) is preferred
MBA or MIS from an accredited college or university is preferred
Minimum of a Bachelor's degree is required
Project management skills to address tasks, deliverables, issues, risks and management of onshore analysts and offshore development team
Understanding or implementation experience of Oracle SaaS modules and general business processes across either ERP, HCM, or SCM a plus
Excellent communication skills to lead and facilitate Analytic requirements and strategy meetings with a proven track record of leading successful Oracle Fusion Data Intelligence implementations from concept to completion
Able to work independently and as part of a team in a fast-paced consulting environment
Ability to travel as needed
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future
KPMG will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

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