Irving, TX

Data Jobs in Irving, TX

18 jobs found

Include remote jobs

17d ago

Machine Learning Engineer II

7-Eleven Irving, TX

Irving, TX

17d ago

Full time Ai Ml Artificial Intelligence Azure Data Factory

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Job Description

Use machine learning to turn store telemetry into practical, data-driven outcomes. In this onsite role in Irving, TX, you will design, develop, test, and deploy scalable ML solutions using big data and Azure-based platforms. The work focuses on transforming equipment signals and large datasets into actionable insights that support analytics and decision-making across the business.

Responsibilities

Design, develop, test, and deploy machine learning models and data-driven solutions that convert store equipment telemetry into actionable insights.
Build and optimize scalable data pipelines in enterprise environments using Python, PySpark, and Azure technologies.
Process, analyze, and manipulate large structured and unstructured datasets to support analytics and machine learning initiatives.
Collaborate with data engineers, data scientists, product owners, and business stakeholders to translate requirements into technical implementations.
Develop, evaluate, and tune machine learning models using appropriate algorithms and statistical techniques.
Apply MLOps best practices for deployment, monitoring, and model lifecycle management.
Create visualizations, dashboards, and presentation materials to communicate insights and recommendations to both technical and non-technical audiences.
Participate in code reviews, technical design discussions, and continuous improvement efforts.

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
5+ years of experience delivering big data and machine learning solutions in enterprise environments.
Strong programming experience in Python and PySpark.
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps.
Experience building, training, validating, and deploying machine learning models.
Solid understanding of data structures, algorithms, software engineering principles, and distributed computing concepts.
Experience working with large-scale datasets and cloud-native architectures.
Strong analytical, problem-solving, and communication skills.

Technologies

Python, PySpark
Azure, Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS)
Git, Azure DevOps
Power BI, Tableau

Preferred Qualifications

Experience deploying and operationalizing machine learning models in Azure Databricks.
Experience with MLOps frameworks and CI/CD pipelines for machine learning workloads.
Experience with data visualization tools such as Power BI, Tableau, or equivalent platforms.
Experience working with equipment telemetry data or on equipment maintenance projects.
Knowledge of containerization technologies and cloud-native application development.

Machine Learning Expertise

Clustering and segmentation techniques.
Generalized Linear Models (GLM), Linear Regression, Logistic Regression.
Decision Trees and Random Forests.
Gradient boosting techniques including XGBoost.
K-Nearest Neighbors (KNN), Support Vector Machines (SVM).
Artificial Neural Networks (ANN) and deep learning concepts.
Model evaluation, feature engineering, hyperparameter tuning, and performance optimization.

Success Factors

Ability to work effectively in a fast-paced, collaborative environment.
Strong ownership mindset and commitment to delivering high-quality solutions.
Ability to communicate complex technical concepts to diverse stakeholder groups.
Passion for continuous learning and innovation in machine learning and cloud technologies.

Location: Irving, TX (onsite)

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1mo ago

Data Analyst

QTS Data Centers Irving, TX

Irving, TX

1mo ago Closed

Full time Analytical Skills Analytics Business Analytics

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

QTS Data Centers is seeking a Data Analyst to support execution-focused analytics across the development lifecycle. Based in Irving, TX (onsite), this role focuses on tracking equipment and OFCI status, construction progress, commissioning, and operational readiness using structured data from multiple systems to power reporting and actionable insights.

What you will do

Develop and manage dashboards and analytics that track engineering progress, equipment/OFCI status, construction, commissioning, and turnover readiness
Work with engineering, procurement, and construction teams to keep equipment demand data accurate and aligned with delivery
Use data from Oracle, Autodesk Forma, Palantir, Smartsheet, CxAlloy, and/or ServiceNow to deliver consistent development execution insights
Identify lifecycle risks and cost drivers to inform TCO planning and investment decisions
Provide structured insights that support scenario planning, procurement timing, and operational risk mitigation
Lead and develop a team of analysts supporting execution data, reporting tools, and system workflows
Partner with Capital Planning, Cost Controls, and Operations teams so lifecycle data supports cross-functional decision-making

Requirements

Bachelor’s degree in Computer Science, Data Science, Statistics, Business Analytics, or a related field (or equivalent professional experience)
3+ years of experience as a Data Analyst, Business Analyst, or similar role, with an emphasis on data analysis and visualization
Proficiency with Snowflake, Tableau, Excel, Smartsheet, or similar tools for data analysis and reporting

Tools & technologies

Oracle, Autodesk Forma, Palantir, Smartsheet, CxAlloy, ServiceNow, Snowflake, Tableau, Excel

Benefits

Medical, dental, vision, life, and disability insurance
401(k) retirement plan
Flexible spending and HSA accounts
Paid holidays and paid time off
Paid volunteer days
Employee assistance program
Tuition assistance
Parental leave and military leave assistance
QTS scholarship for dependents
Wellness program and other company benefits
This position is bonus eligible

Preferred qualifications

Relevant experience in project analytics, reporting, construction management, or development operations
Relevant certifications in data analysis or business intelligence

Knowledge, skills, and abilities

Integrity to maintain honest and open relationships with end users
Execution to complete tasks effectively and efficiently, aligning with user needs
Agility to problem-solve and address end user challenges and project requirements
Development as a self-learner who explores new application features and functionality
Strong analytical and problem-solving skills to interpret complex data sets
Communication skills to convey technical information effectively to non-technical stakeholders

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1mo ago

Data Analyst

Upen Group Inc Irving, TX

Irving, TX

1mo ago Closed

$40k - $60k/yr Full time Analyst Business Analytics Business Intelligence

This position is no longer accepting applications (closed Sep 10, 2026).

Job Description

This entry-level position supports reporting, data analysis, and business intelligence initiatives using SQL, Microsoft Excel, and Power BI. The role is based in the Dallas–Fort Worth area with hybrid work in Irving, TX 75038.

Role Overview

As a Data Analyst at Upen Group Inc, you will help extract and validate data, produce dashboards and reports, and support recurring and ad-hoc requests. You will also assist internal teams involved in vendor and client projects while contributing to data-driven recommendations to improve business operations.

Key Responsibilities

Write and maintain basic SQL queries to extract, analyze, and validate data
Clean, format, and validate datasets using Microsoft Excel
Build and maintain dashboards and reports using Power BI, Tableau, or similar BI tools
Analyze datasets to identify trends, patterns, and data quality issues
Support recurring reporting cycles and respond to ad-hoc business data requests
Document reporting processes, metrics, and data definitions
Collaborate with internal teams supporting vendor and client projects
Assist with data-driven recommendations aimed at improving business operations

Required Qualifications

Bachelor’s degree required in Data Analytics, Business Analytics, Information Technology, Computer Science, Business, or a related field
Basic knowledge of SQL and relational databases
Strong Microsoft Excel skills, including formulas, pivot tables, and data analysis
Exposure to Power BI, Tableau, or other data visualization tools
Understanding of basic data concepts such as reporting, KPIs, and data quality
Strong analytical skills with close attention to detail
Good communication and problem-solving skills

Tools and Technologies

SQL
Microsoft Excel
Power BI
Tableau

Eligibility Requirements

DFW area candidates only
U.S. Citizens and Green Card holders only
No OPT, CPT, F1, H1B, or sponsorship available

Location and Compensation

Location: Irving, TX 75038 (hybrid), serving the Dallas–Fort Worth (DFW) area.
Salary: USD 40,000 - 60,000 per year.

Why Join

Gain hands-on experience with SQL, Excel, Power BI, and analytics tools
Work on real-world vendor and client projects
Develop skills in data analytics and business intelligence
Opportunity for professional growth in technology and analytics

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1mo ago

Sr. Data Scientist, Ops Research

MCKESSON Irving, TX

Irving, TX

1mo ago Closed

$136k - $227k/yr Full time Azure Ml Big Data Cloud Platform

This position is no longer accepting applications (closed Sep 6, 2026).

Job Description

Build stochastic process simulation and optimization products to improve supply chain operations within McKesson’s Enterprise Data Science team.

Responsibilities

Develop and apply digital twins and simulation/optimization frameworks to support decisions across supply chain areas including inventory, transportation, and labor planning.
Translate simulation and optimization outputs into actionable recommendations for business partners.
Architect, implement, and drive adoption of stochastic process simulation and optimization solutions; measure impact and make significant improvements to existing solutions.

Requirements

Demonstrated experience developing stochastic process simulations to inform business decisions in inventory, transportation, or other supply chain-related domains.
Strong foundation in probability and statistics, including random variables, probability distributions, hypothesis testing, regression, and modern machine learning methods.
Demonstrated experience in data wrangling using SQL.
Experience with statistical modeling in Python and/or R.
Ability to communicate results to technical leaders and non-technical executive audiences.
Degree or equivalent, typically requiring 7+ years of relevant experience.

Tools & Technologies

SQL, Python, R
Optimization solvers: CPLEX, Gurobi, Xpress, CBC, GLPK
Data and ML platforms: Databricks, Snowflake, Azure ML

Preferred Skills

Experience with commercial or open-source optimization solvers (e.g., CPLEX, Gurobi, Xpress, CBC, GLPK).
Familiarity with reinforcement learning or approximate dynamic programming techniques.
Experience developing dashboards, applications, or decision-support tools that expose model outputs to business users.
Exposure to financial modeling, cost optimization, or pricing analytics.
Experience working in modern data and ML platforms such as Databricks, Snowflake, and Azure ML.

Location & Compensation

Location: Irving, TX (onsite)
Base pay range: USD 136,300 - 227,100 per year

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1mo ago

GCP BigQuery Data Engineer

Virtues Irving, TX

Irving, TX

1mo ago Closed

$100k - $110k/yr Full time Analytics Big Data Bigdata

This position is no longer accepting applications (closed Sep 6, 2026).

Job Description

Virtues is seeking a GCP BigQuery Data Engineer to design cloud-native, scalable data platforms and build real-time ingestion pipelines on Google Cloud. This onsite role in Irving, TX focuses on event-driven streaming architectures that support near real-time analytics and enterprise reporting.

Responsibilities

Design, develop, and optimize enterprise data warehouse solutions using Google BigQuery.
Design, develop, and maintain real-time data ingestion pipelines using Apache NiFi to extract, transform, and route streaming data into Apache Kafka topics.
Build scalable event-driven streaming architectures using Apache NiFi, Apache Kafka, and Google BigQuery to enable high-throughput, fault-tolerant, low-latency processing.
Configure and optimize Apache NiFi processors for extraction, transformation, routing, filtering, schema validation, error handling, retry mechanisms, and reliable delivery to Kafka.
Develop streaming ingestion solutions that allow Google BigQuery to consume Kafka event streams and transform near real-time events into analytical tables and reporting datasets.
Design data models and implement ETL/ELT processes to move data from raw to curated and published layers.
Design, create, and manage large-scale BigQuery datasets, including temporary/permanent and internal/external tables.
Optimize BigQuery workloads using query tuning, partitioning, clustering, and cost optimization techniques to improve performance and reduce cloud costs.
Monitor, troubleshoot, and optimize streaming workloads by tuning NiFi flows, Kafka topics/partitions, and BigQuery streaming ingestion to support high availability, data integrity, minimal latency, and cost-efficient processing.
Build scalable data lake frameworks and ingestion pipelines using cloud-native GCP technologies.
Develop reporting and visualization solutions using Looker, Looker Studio (Data Studio), Connected Sheets, and other BigQuery reporting tools.
Collaborate with data architects, modelers, developers, DevOps engineers, project managers, and business stakeholders to deliver scalable enterprise analytics solutions and continuous improvements to the data platform.

Requirements

7+ years of experience in Data Engineering, Data Warehousing, or Big Data platforms.
Must-have skills: Apache NiFi and Apache Kafka.
Strong hands-on experience with Google Cloud Platform (GCP), including BigQuery, Cloud Dataflow, Pub/Sub, and Google Cloud Storage (GCS).
Hands-on experience designing and supporting real-time streaming pipelines using Apache NiFi, Apache Kafka, and Google BigQuery.
Experience using BigQuery Console/Query Editor for data management, performance tuning, and SQL development.
Strong experience designing scalable data models, ETL/ELT pipelines, data lake architectures, and enterprise data warehouse solutions.
Experience with batch and streaming data ingestion using GCP services.
Thorough understanding of BigQuery cost structure, including storage, ingestion, and query costs, with experience implementing query optimization, partitioning, clustering, and other cost optimization techniques.
Experience managing large-scale datasets, including temporary/permanent and internal/external BigQuery tables.
Experience developing reporting and visualization solutions using Looker, Looker Studio (Data Studio), and Connected Sheets.
Excellent verbal and written communication skills, with the ability to collaborate with technical teams, business stakeholders, senior management, and executive leadership.
Experience working in Agile environments and collaborating with cross-functional teams to deliver enterprise data engineering solutions.

Preferred Qualifications

Google Cloud certifications.
Experience delivering enterprise-scale analytics and cloud data solutions.

Technologies

Google BigQuery
Apache NiFi
Apache Kafka
Google Cloud Dataflow
Google Pub/Sub
SQL
ETL/ELT
Google Cloud Storage (GCS)
Looker
Looker Studio (Data Studio)
Connected Sheets
CI/CD
DevOps
Agile/Scrum
Python
Spark
Data Modeling
Data Warehousing
Data Lakes
Batch & Streaming Pipelines

Compensation and Location

Salary: USD 100,000 - 110,000 per year.

Work location: In person (Irving, TX).

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1mo ago

Sr Hadoop+Spark(scala) Data Engineer

Virtues Irving, TX

Irving, TX

1mo ago Closed

$101k - $110k/yr Full time Senior Big Data Bigdata

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

Virtues is offering a senior Big Data engineering role focused on Hadoop, Spark, and Scala, with an onsite presence in Irving, TX. The position provides a competitive annual salary ranging from USD 100,696 to 110,268, and an opportunity to design, develop, and support scalable batch and real-time data pipelines across multiple data platforms.

Responsibilities

Design, develop, implement, and maintain scalable, high-performance data ingestion and processing pipelines using Hadoop ecosystem technologies.
Develop and manage data pipelines supporting batch processing, real-time/event-driven processing, and streaming data workflows.
Read data from structured, semi-structured, and unstructured sources.
Ingest batch data and real-time event streams, including Kafka events.
Perform complex data validation, cleansing, enrichment, and transformation.
Deliver processed data to target data stores, curated layers, publishing zones, and downstream endpoints.
Develop and optimize Apache Spark applications using Scala for large-scale distributed processing.
Design and implement Kafka-centric event processing and real-time data pipelines.
Develop streaming data transformation logic using Apache Spark Streaming and/or Spark Structured Streaming.
Build and maintain scalable batch processing solutions using Apache Spark.
Develop data processing and analytical solutions using HiveQL, Pig Latin, HBase, and custom MapReduce programs.
Develop data transformation and integration processes to move data from raw zones to curated and published data warehouse layers.
Collaborate with data architects, application teams, business stakeholders, and platform teams to translate requirements into scalable technical solutions.
Work extensively with Hadoop ecosystem technologies including HDFS, MapReduce, Hive, Pig, Sqoop, HBase, ZooKeeper, Oozie, Apache Spark, Scala, Flume/Flume NG, Kafka, and Hue.
Apply strong knowledge of Hadoop architecture and core components such as NameNode, DataNode, HDFS, JobTracker, TaskTracker, and MapReduce programming/execution.
Install, configure, integrate, and support Hadoop ecosystem components within Cloudera-based environments.
Work with distributed storage and processing frameworks to ensure scalability, reliability, fault tolerance, and high performance.
Monitor and optimize data pipeline performance, resource utilization, throughput, and processing efficiency.

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical discipline.
7+ years of hands-on experience in the Hadoop framework and the broader Hadoop ecosystem.
6+ years of hands-on experience developing data ingestion and integration solutions across multiple data platforms.
5+ years of strong hands-on experience with Apache Spark using Scala for distributed data processing.
5+ years of experience in data modeling, data transformation, detailed technical design, and data integration.
Proven experience designing and developing large-scale batch and real-time data pipelines.
Strong experience with HiveQL, Pig Latin, HBase, and custom MapReduce programming.
Experience developing and managing Kafka-centric event-driven data pipelines.
Solid understanding of batch processing, stream processing, and event-driven architectures.
Hands-on experience with Spark Streaming and/or Spark Structured Streaming.
Experience installing and configuring Cloudera Hadoop ecosystem components, including Hive, HBase, ZooKeeper, Oozie, Spark, Sqoop, Flume, Pig, and Hue.
Strong understanding of Hadoop architecture, HDFS, distributed storage, and MapReduce concepts.
Strong analytical, problem-solving, debugging, and performance-tuning skills.
Excellent communication and collaboration skills.

Technologies

Hadoop, HDFS, MapReduce, Hive, Pig, Sqoop, HBase, ZooKeeper, Oozie
Apache Spark, Spark Streaming, Spark Structured Streaming
Scala, Flume/Flume NG, Kafka, Hue
HiveQL, Pig Latin
BigQuery, Cloudera, MapR, Hortonworks

Key Competencies

Strong expertise in distributed data processing and big data architecture
Deep understanding of batch, real-time, streaming, and event-driven processing
Proficiency in Scala and distributed data engineering frameworks
Ability to design scalable, fault-tolerant, high-performance data solutions
Analytical problem-solving, debugging, and root-cause analysis capabilities
Ability to work independently and collaborate with cross-functional teams
Ownership, attention to detail, and commitment to data quality and operational excellence

Desirable and Nice-to-have Skills

End-to-end Hadoop administration and production support
Hadoop infrastructure setup, installation, configuration, upgrades, patching, monitoring, troubleshooting, and maintenance
Administration of Hadoop distributions such as Cloudera, MapR, Hortonworks
Installing, configuring, and managing ecosystem components: Hive, Pig, HBase, ZooKeeper, Oozie, Spark, Sqoop, Flume, Hue
Managing and monitoring HDFS, distributed file systems, and Hadoop clusters
Managing, monitoring, scheduling, and troubleshooting MapReduce and distributed processing jobs
Cluster capacity planning, resource management, health monitoring, and operational support
Automation of operational activities via scripting (backup/restore, monitoring, health checks, maintenance, reporting)
Experience with version control, change management, release management, incident management, problem management, and root-cause analysis
Nice-to-have: Hadoop Platform Administration, GCP BigQuery

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1mo ago

Information Technology Data Analyst II - Health Outcomes

Christus Health Irving, TX

Irving, TX

1mo ago Closed

Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Aug 24, 2026).

Job Description

The Information Technology Data Analyst II - Health Outcomes supports the full development lifecycle of data analysis to enable health outcomes analytics, reporting, and measurement initiatives. The role leverages SQL, Python, and business intelligence tools to deliver timely, accurate insights and communicates findings to diverse stakeholder groups.

Responsibilities

Demonstrate alignment with the OneCHRISTUS leadership competencies appropriate to the role, including leadership of self, others, or teams.
Adhere to Administrative and Departmental policies, maintaining professional behavior, attire, attendance, confidentiality, and reliability.
Participate as a team member on assigned teams, providing requested drilldowns, follow-ups, and recommendations, and presenting results in report format.
Provide technical and analytical support across projects, operational planning, and performance monitoring.
Ensure clear documentation of project specifications and quality assurance processes, and meet project deadlines with guidance from a leader or lead analyst.
Collaborate effectively within the team and build relationships with external stakeholders.
Develop custom and standard reports for stakeholders, analyze data, and perform drilldowns as indicated.
Participate in planning, implementation, and monitoring of data collection; advise on more efficient approaches and methods for work processes and problem solving; support data requests, retrieval, analysis, and outcome measurement to drive process improvements.
Consistently meet daily, monthly, and annual deadlines by coordinating with multiple individuals in a tactful and precise manner.
Present data in a manner that is useful and understandable for stakeholder use.
Conduct analysis on medium to large datasets using SQL, Python, or R, in combination with BI tools.
Establish and maintain positive working relationships with other employees.
Serve as a team member on assigned projects.

Requirements

Bachelor’s degree in Information Systems, Computer Science, Engineering, Math, or a related field is required.
Proficiency in SQL, Python, or R for data analysis is required.
Minimum of 3 years of experience in intermediate to advanced SQL, Python, or R programming on platforms with large data assets.
Minimum of 3 years in data analysis or in design and implementation roles.