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Ai Data Engineering

Dallas,TX

1809 Ai Data Engineering jobs in Dallas,TX

New, Posted 2 hours ago
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Operating Engineer, Data Centers

JLL

Richardson, TX 75081

~ 18 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • A high school diploma or GED is required.
  • A minimum four (4) years experience in the building maintenance industry and accredited trade school degree in HVAC, electronic, or other industry related trade.
  • Must have Universal CFC certification.
  • Should be knowledgeable in the safe and proper use of the following tools: ladders, lifts, basic hand tools, volt meter, manual drain auger, plumbers helper, safety goggles, ear protection, and fire extinguisher.
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Metal Field Services Technician

GoEngineer

Dallas, TX 75201

OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Experience with metal additive manufacturing required.
  • Experience with laser powder bed fusion technology strongly preferred.
  • Field service, industrial equipment maintenance, or OEM experience preferred.
  • Knowledge of industrial lasers, motion systems, and electro-mechanical equipment.
  • Strong troubleshooting and problem-solving abilities.
  • Ability to read technical documentation, schematics, and engineering instructions.
  • Strong communication and customer service skills.
  • Ability to work independently and manage a travel-intensive schedule.
  • Valid driver's license and passport.
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New, Posted 14 hours ago
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Commissioning Engineer

Amazon Data Services

Dallas, TX 75215

Requires TravelHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience
  • Bachelor's degree in Mechanical/Electrical Engineering or 5 years of relevant discipline work experience
  • High technical competency in either mechanical or electrical or control systems utilized in critical infrastructures, with the capability to learn and be trained in the others.
  • Understand the design concept and intent by reviewing mechanical or electrical design documentation, including drawings, specifications, vendor submittals and sequences of operations and provide feedback on the same in accordance with Amazon standards for basis of design.
  • Develop but majorly review commissioning documentation such as test plans, scripts and reports developed by vendors to ensure accuracy in accordance with the design requirements.
  • U.S Citizenship Required
  • Ability and willingness to travel domestic and internationally for up to 80% of the year.
  • Required to provide personal transportation for meetings and job visits away from the office; reimbursed.
  • Walk job sites in uneven terrain
  • Work at heights and from ladders
  • Regularly walk, use hands and fingers, reach with hands and arms, stoop, kneel, crouch or crawl
  • Lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more
  • Carry objects weighing up to 49 pounds for short distances
  • Perform physical tasks throughout the day without becoming overly tired
  • Ability to manipulate small wires and objects easily
  • Work in a noisy environment
  • Work in environments that are colder or hotter than a normal office environment
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New, Posted 1 day ago
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Applications Development Senior Programmer Analyst - Assistant Vice President

Citi

Irving, TX 75061

New, Posted 6 hours ago
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Senior Data Architect

Hilti

Addison, TX 75001

~ 19 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, Data Engineer - Databricks

KPMG

Dallas, TX 75217

OnsiteHealth InsuranceRetirement Benefit

  • Minimum three years of recent experience as a cloud data lake/warehouse architect, designer, developer, data scientist, or AI / ML engineer; preferably Databricks certified
  • Bachelor's degree in Engineering, Information Technology, Computer Science or a related field from an accredited college/university
  • Experience in leading projects relating to cloud modernization, data migration, data warehousing experience with cloud-based data platforms (Databricks) and experience with (preferably driving) technical workshops with technical and business clients to derive value added services and implementations
  • Hands-on working knowledge of topics such as data security, messaging patterns, ELT, Data wrangling and cloud computing and proficiency in data integration/EAI and DB technologies, sophisticated analytics tools, programming languages or visualization platforms; experience designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP; hands-on technical experience with SQL and Apache Spark
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity
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Entry Level Technology Summer Analyst - Various Locations - NAELFY27

Accenture

Irving, TX 75062

New, Posted 1 day ago
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Sr. Construction Manager, Data Center Construction

Amazon

Dallas, TX 75215

New, Posted 6 hours ago
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Senior Data Architect

Hilti

Richardson, TX 75080

~ 18 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.
SmartExplore AI is experimental.
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Buyer

Delta Electronics (Americas)

Plano, TX 75075

$85,000/yr
~ 27 min OnsiteBilingual Preferred

  • Bachelor's degree in supply chain management or a related field.
  • Minimum of 3 years of experience in technical procurement or buying within manufacturing, industrial, or facility operations.
  • Strong understanding of factory equipment, industrial tools, facility systems, and construction-related services.
  • Proven skills in negotiation, supplier relationship management, and purchasing documentation.
  • Proficiency in ERP systems and Microsoft Office applications.
  • Ability to interpret technical specifications and collaborate effectively with internal engineering teams and external suppliers.
  • Bilingual required - fluent in English and intermediate proficiency in Mandarin.
SmartExplore AI is experimental.
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