Irving, TX

Data Jobs in Irving, TX

4 jobs found

Include remote jobs

4d ago

Senior Data Engineer - Vice President

Citi Irving, TX

Irving, TX

4d ago

$126k - $189k/yr Full time Senior Big Data Bigdata

Apply Now

Job Description

Join Citi in Irving, TX for an on-site Senior Data Engineer - Vice President role that centers on collaborative, client-focused data solutions. The position offers a comprehensive benefits package including medical, dental, and vision coverage; a 401(k); life, accident, and disability insurance; wellness programs; paid time off, sick leave, and holidays. The role is full-time with a salary range of USD 125,760 to 188,640 per year. Requires a bachelor’s degree and a minimum of 6 years of hands-on data engineering experience, with leadership responsibilities in an enterprise setting.

Benefits

Medical, dental, and vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Planned time off (vacation)
Unplanned time off (sick leave)
Paid holidays

Responsibilities

Architect and sustain scalable ETL/ELT pipelines using PySpark, Spark SQL, and Delta Lake on Databricks to efficiently ingest, transform, and integrate large-scale datasets across cloud environments.
Cloud Data Platform Management: design, implement, and manage data solutions on cloud platforms (AWS, GCP, Azure) leveraging cloud-native services for storage, processing, and analytics.
Big Data Technologies: work with Databricks, Snowflake, and open table formats such as Apache Iceberg to process petabyte-scale datasets.
Optimize Spark workloads and Databricks clusters by tuning jobs, partitioning strategies, caching, and autoscaling to boost performance and manage costs.
Implement and govern Lakehouse architecture with Delta Lake, enforcing data quality, schema evolution, and governance via Unity Catalog for reliable analytics and downstream use.
Lead the design and architecture of Starburst-based data solutions to ensure enterprise-level scalability, performance, and reliability.
Execute data federation strategies using Starburst connectors to unify access across data lakes, RDBMS, NoSQL, and cloud storage.
Performance Optimization: identify bottlenecks in pipelines and queries, improving storage and processing efficiency.
Develop and optimize robust data pipelines with a strong emphasis on data governance, ensuring quality, lineage, and compliant data flow from ingestion to consumption.
Data Modeling and Architecture: design data models that support BI, analytics, and ML use cases, building a robust, secure, scalable data architecture.
AI and Machine Learning Collaboration: partner with data scientists to support AI model development and deployment, contributing to RAG and Agentic AI initiatives through data infrastructure support.
Agile Methodology: operate effectively in an Agile environment, participating in sprint planning, daily stand-ups, and retrospectives to deliver milestones.
Leadership and Project Guidance: provide technical leadership, mentor junior engineers, and influence architectural decisions aligned with client needs and strategic goals.
Stakeholder and Client Interaction: act as a primary point of contact for stakeholders and clients, communicating progress and translating business requirements into actionable technical tasks.

Requirements

Python: expert-level proficiency with Python and its data ecosystem (Pandas, NumPy, Dask); experience delivering production-grade data processing, automation, and API development.
PySpark: extensive hands-on experience with the Spark framework, deep knowledge of the DataFrame API, Spark SQL, and performance tuning for distributed processing.
Databricks: proven work on the Databricks Lakehouse Platform, including Delta Lake, structured streaming, and optimizing Spark jobs within the environment.
Ab Initio: strong practical experience with the Ab Initio suite (GDE, Co>Operating System, Conduct>It) for enterprise-grade ETL workflows.
Snowflake: hands-on experience designing and maintaining Snowflake data warehouses, including modeling, RBAC, performance tuning, Snowpipe, and Time Travel.
Starburst/Trino: experience with federated query engines to provide unified access across diverse data sources and data systems.
Apache Iceberg: familiarity with open table formats for managing large analytic datasets.
Cloud provider experience: multi-year, in-depth experience with at least one major cloud provider (AWS, GCP, or Azure).
Cloud-native data pipelines: practical experience building pipelines with cloud-native services such as AWS Glue, Lambda, S3, Redshift; Azure Data Factory, Synapse; or Google Cloud Composer, Dataflow, and BigQuery.
Data lifecycle for ML: solid understanding of the data lifecycle required for machine learning projects.
AI data pipelines: experience building data pipelines to support AI/ML models, with interest or exposure to preparing data for advanced AI applications such as vector databases for RAG and Agentic AI.
Agile Proficiency: strong familiarity with Agile and Scrum methodologies and iterative delivery.
Leadership & Influence: demonstrated ability to provide technical leadership and guide architectural decisions aligned with client needs and long-term strategy.
Client Engagement: excellent communication and interpersonal skills, capable of articulating complex concepts to diverse audiences and building stakeholder relationships.
6-10 years of hands-on data engineering experience, preferably in a large-scale enterprise or financial services environment.
Experience leading project work streams and mentoring junior team members.
Relevant industry certifications (e.g., AWS Certified Big Data, Google Professional Data Engineer, Snowflake SnowPro).
Containerization and orchestration: experience with Docker and Kubernetes.
Deep understanding of data governance, data quality, and data security principles.
Strong analytical and problem-solving skills with the ability to work independently or as part of a team.
Experience as Applications Development Manager and senior-level experience in an Applications Development role, with stakeholder and people management experience.
Proven project management skills and a solid grasp of industry practices and standards.
Clear and concise written and verbal communication.

View full job page →

19d ago

Analytics Developer I - Accounting

Christus Health Irving, TX

Irving, TX

19d ago

Full time Analyst Analytics Automation

Apply Now

Job Description

Christus Health, located in Irving, Texas, is seeking an Analytics Developer I in Accounting to transform data into actionable insights and support automation initiatives. The role centers on building BI reports and dashboards, validating data accuracy, and contributing to RPA workflows and low-code web applications that streamline business processes. This on-site position emphasizes collaboration with business SMEs and cross-functional teams to drive data-driven improvements.

Details follow in the structured sections below.

Responsibilities

Meets expectations of the applicable OneCHRISTUS Competencies: Leader of Self, Leader of Others, or Leader of Leaders.
Assist in creating BI reports and dashboards using BI tools, ensuring they meet quality and accuracy standards.
Perform basic data analysis and validation with SQL and Excel to uphold report integrity.
Support web application development on low-code platforms under the guidance of senior developers.
Contribute to implementing RPA workflows to automate repetitive business processes.
Collaborate with business subject matter experts to understand challenges and tailor solutions to streamline processes.
Partner with data architecture and engineering teams to support data modeling and automation efforts.
Foundational experience with Analytics Applications, including report development and data validation; familiarity with RPA and low-code web app development is a plus.
Fundamental SQL programming skills focused on data integrity and validation.
Assist in performance optimization for reports and dashboards across analytics applications and related tools by addressing data loading and query performance issues.
Actively pursue self-directed learning to stay current with evolving technologies, seeking resources to expand knowledge and adapt to new practices.
Demonstrate effective communication to support collaboration and receive feedback.

Requirements

Bachelor’s degree in Business Analytics, Information Systems, Computer Science, Data Science, or a related field is required.
Minimum of one (1) year of experience using analytics applications and SQL programming.

Technologies

SQL
Excel
Power Platform
Power Automate
UiPath

Work Schedule

8AM - 5PM Monday-Friday

Work Type

Full Time

View full job page →

24d ago

Senior PySpark Data Engineer

Tata Consultancy Services Irving, TX

Irving, TX

24d ago

$120k - $140k/yr Full time Python Senior Big Data

Apply Now

Job Description

The Senior PySpark Data Engineer will design, develop, and maintain data solutions within a Big Data environment, leveraging PySpark and Python to build scalable pipelines, ensure data quality, and migrate data across systems from on-premises to cloud deployments. This onsite role is based in Irving, Texas, with Tata Consultancy Services.

Responsibilities

Architect and maintain robust, scalable data pipelines using PySpark to support high performance data processing.
Develop data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems.
Translate Ab Initio ETL applications into PySpark based data pipelines.
Migrate on premises workloads to cloud environments (AWS, Databricks, Snowflake) according to use case requirements.
Collaborate with cross-functional teams to identify and resolve data related issues.
Stay informed of the latest advancements in data engineering and integrate innovative approaches to maintain a competitive edge.

Requirements

8+ years of professional experience in Hadoop and PySpark/Python development.
Proven expertise in PySpark with experience handling large volumes of data.
3+ years of hands-on experience with AWS, Databricks/Snowflake, and Airflow.
Familiarity with CI/CD pipelines and version control systems such as Git.
Strong debugging and problem-solving skills.
Excellent communication and collaboration abilities.

Technologies

PySpark
Python
Hadoop
Ab Initio
AWS
Databricks
Snowflake
Airflow
Git
Docker
AWS EKS

Location

Irving, TX (onsite)

Job Function

Technology

Role

Engineer

Job ID

411835

Salary

USD 120,000 - 140,000 per year

Desired Skills

Hadoop

Desired Candidate Profile

Bachelor of Computer Science

View full job page →

24d ago

Machine Learning Engineer

MicroAI Irving, TX

Irving, TX

24d ago

Full time Artificial Intelligence Deep Learning DevOps

Apply Now

Job Description

The Machine Learning Engineer at MicroAI focuses on building and validating ML models for edge and embedded AI, and on embedding machine learning into product workflows with CI/CD and test automation. This onsite role is based in Irving, TX, requiring at least one year of hands-on experience.

Responsibilities

Design, develop, train, and verify machine learning models to solve complex real-world problems.
Deliver high-quality software design, documentation, and implementation that meet defined requirements.
Collaborate with the development team to integrate machine learning into product workflows.
Implement and enhance test automation and Continuous Integration/Contiguous Delivery of machine learning models.

Requirements

Degree in Software Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering, Computer Science, Data Science; PhD highly considered.
Proficient in Python, C/C++, Java, SQL, MySQL, Flask, Golang, REST API, Docker and API.
1+ years of hands-on experience developing machine learning models for junior candidates / 5+ years for senior candidates.
Hands-on experience with at least one popular machine learning framework such as TensorFlow, OpenCL, Kera, or Caffe.
1+ years of software development/programming experience for junior candidates / 5+ years for senior candidates.
A solid understanding of design patterns and web application architecture.
Experience with implementing various machine learning algorithms.
Experience with performance optimization of machine learning models using the CUDA platform.
Experience with Cassandra/ Map Reduce/ NoSQL or similar technology.
Previous experience in Manufacturing or Industrial a plus.
Must be highly technical and an excellent communicator.

Technologies

Python
C/C++
Java
SQL
MySQL
Flask
Golang
REST API
Docker
TensorFlow
OpenCL
Kera
Caffe
CUDA
Cassandra
Map Reduce
NoSQL

Benefits

401(k)
401(k) matching
Dental insurance
Health insurance
Life insurance
Paid time off
Vision insurance

Job Type

Full-time, On-site

Schedule

8 hour shift
Monday to Friday

Ability to Commute/Relocate

Irving, TX 75038: Reliably commute or planning to relocate before starting work (Required).

Experience

REST API: 1 year (Required)
Python: 1 year (Required)
Java: 1 year (Required)
SQL: 1 year (Required)
C: 1 year (Required)
Flask: 1 year (Preferred)
Docker: 1 year (Preferred)
TensorFlow: 1 year (Preferred)

Work Location

In person

View full job page →

Data Jobs in Irving, TX

Senior Data Engineer - Vice President

Analytics Developer I - Accounting

Senior PySpark Data Engineer

Machine Learning Engineer

Get Job Alerts