1037 Data Engineer Architect jobs in Dallas,TX

Senior Data Architect

Hilti

Garland, TX 75040

~ 26 min OnsiteUrgently HiringHealth 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.
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.
Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale."
Bachelor's or master\'s in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience)."

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Director Data Engineering

McKesson

Irving, TX 75039

~ 22 min Onsite

12+ years experience of professional experience in related IT field with 4+ years experience in leadership, planning and communication roles.
Deep expertise in Microsoft Azure data services ecosystem (Azure Data Factory, Synapse Analytics, Data Lake Storage, Event Hubs, Cosmos DB)
Advanced proficiency with Databricks platform and advanced analytics workflows
Extensive experience with BI development, administration, and enterprise deployment
Strong foundation in modern data architectures, scalable Lakehouse using Medallion patterns and Unity Catalog; "RAG-ready" infrastructures and AI-driven data observability to automate quality and drift detection, real-time streaming, and event-driven systems
Proficiency in multiple programming languages (Python, Scala, SQL, .NET) and infrastructure
Azure certifications (Azure Data Engineer Associate, Azure Solutions Architect Expert)
Databricks certifications (Professional Data Engineer, Professional ML Practitioner)
Experience in regulated industries (healthcare, financial services, manufacturing)
Master's. Degree in Computer Science, Engineering or equivalent.

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Senior Data Architect

Hilti

Addison, TX 75001

~ 19 min OnsiteUrgently HiringHealth 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.
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.
Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale."
Bachelor's or master\'s in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience)."

SmartExplore AI is experimental.

New, Posted 1 day ago

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Senior Engineering Operations Technician, Data Center Engineering & Operations

Amazon Data Services

Wilmer, TX 75172

Paid Relocation to Wilmer, TX

~ 21 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

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 Microsoft Office products and applications experience
2+ years of electrical and mechanical experience
Ability to work on a flexible schedule including days, nights, and/or weekends.
• Willingness to and demonstrated ability to work in the following physical conditions with reasonable accommodations:
Regularly lift and/or move up to 39 pounds independently
Participate in group lifts for 40+ pounds
Maintain balance and perform construction tasks while on a ladder
Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position
Work in an environment requiring provided ear protection

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Software Engineer (Agentic AI/Data Engineering)

Gartner

Irving, TX 75039

New, Posted 7 hours ago

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AVP, Senior Data Engineer

Synchrony Financial

Dallas, TX 75221

Onsite

Bachelor's degree and a minimum of 4 years of experience in Technology in the consumer banking industry OR High School Diploma\ GED and a minimum of 6 years or experience in Technology OR successful completion of Synchrony's Business Leadership Program
Experience with large scale relational database and public cloud (AWS preferred) environments.
Strong experience and deep understanding of ETL, data warehousing, Cloud technologies (AWS) and analytics concepts.
Strong engineering skills in on‑prem RDBMS/data warehouse platforms, Ab Initio (GDE/Co>Operating System), advanced SQL, and AWS, including Amazon Redshift.
Strong cloud engineering skills with AWS, including hands-on experience with Amazon Redshift and related data services.
Experience with batch and real-time data pipelines in a DevOps environment.
Willing to work in a fast-paced environment with globally located Agile teams working in different shifts.
Ability to develop and maintain strong collaborative working relationships with Technology and Business Stakeholders.
Excellent written and oral communication skills. Adept and presenting complex topics executing with timely / actionable follow-through.
Ability and flexibility to travel for business as required
Legal authorization to work in the U.S. is required.

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Senior Engineer, IT Data

American Airlines

Fort Worth, TX 76101

RemoteHealth InsuranceRetirement Benefit

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).
3+ years experience building data solutions, using agile and DevOps practices
3 years experience using SQL, Python and Spark
3 years experience with Cloud technologies (especially Microsoft Azure)
Expertise with a Cloud based technology stack for data management, ingestion, curation and consumption layers.

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Principal Engineer - Python API Development

Fidelity Investments

Irving, TX 75061

~ 22 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale.
Deep software engineering expertise in Python and distributed systems
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands‑on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt.

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Software Engineer Mid-level (Java Full Stack)

USAA

Plano, TX 75023

Hybrid~ 27 minUrgently HiringFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree or 4 additional years of experience beyond the minimum requirement can be used in lieu of a degree OR Approved certification from CodeUp, Galvanize, VetFIT (Veterans for IT) or eFIT (Employees for IT).
4 years of software development experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s).
2 years of experience delivering technology solutions in all phases of the software systems and application development lifecycle to include leading code/design reviews.
Basic Understanding of one or more of the following: Java, Swift, Objective-C, Cobol, JavaScript, Kotlin, C++, HTML, CSS, SQL, Go, and Python
Developing level of business acumen in the areas of business operations, risk management, industry practices and emerging trends.
Experience supporting efforts to address production issues through troubleshooting applications and systems.
Experience articulating technical challenges and solutions.
Basic understanding of cloud technologies and tools.

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