1190 Azure Databricks Engineer jobs in Dallas,TX

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.
Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred).
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.
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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New, Posted 3 hours ago

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Senior Data Architect

Hilti

Lucas, TX 75002

OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

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.
Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred).
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.
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.

New, Posted 10 hours ago

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Lead Engineer - Operational Technology Network Security

AmerisourceBergen Corporation (Cencora)

Carrollton, TX 75006

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Analyst/Sr Analyst, Contact Center - Analytics

American Airlines

Fort Worth, TX 76101

~ 44 min OnsiteHealth InsuranceRetirement Benefit

Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Business Analytics or related technical discipline; or equivalent experience/training
3 years related work experience
2 years of experience with data extraction, manipulation and analysis from relational databases
Experience with data extraction tools and methods (SQL, SAS, Access, etc.)
Experience using internal data warehouse's (e.g. Mosaic) for data extraction, analysis, and reporting

SmartExplore AI is experimental.

New, Posted 1 day ago

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Solution Architect

KPMG

Dallas, TX 75201

Easy Apply

Water Resources Engineer Technical Lead

obrien engineering

Dallas, TX 75248

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

12+ years of experience
BS in Civil Engineering
Professional Registration: Texas PE or ability to obtain Texas registration within 12 months
Hydrologic, hydraulic, hydrodynamic and 2D modeling
ArcGIS and related tools
Experience with master flood studies, master drainage studies, comprehensive watershed studies, bank stabilization, storm drainage remediation, hydraulic analysis of bridges, culverts, channels, flumes, energy dissipation analysis; dam break analysis a plus
Minimum three days a week in-office

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New, Posted 19 hours ago

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Mechatronics&Robotics Tech

Amazon.com Services LLC

Mansfield, TX 76063

Urgently HiringFlexible Schedule

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Inspector I Quality Control

Smiths Group

Irving, TX 75061

~ 22 min Onsite

Time management skills.
Must be adaptable to a changing work environment, completing jobs and must be able to deal with frequent change, delays, or unexpected events.
Attention to details and ability to focus on assignment.
Knowledge of reading engineering technical drawings, including GD&T; callouts
Effective English communication skills, including writing.
Knowledge of inspection tools (i.e. scopes, calipers, micrometers, etc) along with ability to focus for an extended amount of time while using microscope.
Have good computer skills and able to use Microsoft office products.

SmartExplore AI is experimental.