Apply Now

Staff Data Engineer

Dallas, TX, US • Posted 17 hours ago • Updated 6 hours ago

Full Time

On-site

USD $190,000.00 - 250,000.00 per year

Fitment

Dice Job Match Score™

📋 Comparing job requirements...

Job Details

Skills

IT Architecture
Storage
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
Business Intelligence
Data Quality
Modeling
Testing
Technical Drafting
Analytics
Leadership
Business Strategy
Roadmaps
Scalability
Apache Velocity
Emerging Technologies
Computer Science
Management Information Systems
Software Engineering
Python
Scala
Java
Databricks
Snow Flake Schema
Amazon Redshift
Data Modeling
Extract
Transform
Load
ELT
Informatica
LangChain
Autogen
Semantics
Microsoft Certified Professional
GraphQL
SQL
NoSQL
Data Lake
Apache Parquet
Continuous Integration
Continuous Delivery
DevOps
Management
Reporting
Data Governance
Unity
Microsoft
Real-time
Data Processing
Apache Kafka
Amazon Kinesis
Apache Flink
Apache Spark
Streaming
Vector Databases
Machine Learning (ML)
Docker
Kubernetes
Workflow
Orchestration
Writing
Open Source
Thought Leadership
Technical Direction
Innovation
CaliberRM
Data Engineering
Cloud Computing
Mobile Device Management
Mentorship
Insurance
Master Data Management
Artificial Intelligence
SAP BASIS

IT Architecture
Storage
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
Business Intelligence
Data Quality
Modeling
Testing
Technical Drafting
Analytics
Leadership
Business Strategy
Roadmaps
Scalability
Apache Velocity
Emerging Technologies
Computer Science
Management Information Systems
Software Engineering
Python
Scala
Java
Databricks
Snow Flake Schema
Amazon Redshift
Data Modeling
Extract
Transform
Load
ELT
Informatica
LangChain
Autogen
Semantics
Microsoft Certified Professional
GraphQL
SQL
NoSQL
Data Lake
Apache Parquet
Continuous Integration
Continuous Delivery
DevOps
Management
Reporting
Data Governance
Unity
Microsoft
Real-time
Data Processing
Apache Kafka
Amazon Kinesis
Apache Flink
Apache Spark
Streaming
Vector Databases
Machine Learning (ML)
Docker
Kubernetes
Workflow
Orchestration
Writing
Open Source
Thought Leadership
Technical Direction
Innovation
CaliberRM
Data Engineering
Cloud Computing
Mobile Device Management
Mentorship
Insurance
Master Data Management
Artificial Intelligence
SAP BASIS

Summary

Responsibilities

Own and drive the technical architecture for complex, cross-team data initiatives spanning ingestion, transformation, storage, and serving layers.
Design, build, and maintain scalable, high-performance data pipelines and distributed data platforms in a cloud-native environment (Azure, AWS, or Google Cloud Platform).
Architect and lead enterprise Master Data Management (MDM), including golden records, entity resolution, data domains, reference and hierarchy management, and stewardship, to create trusted, authoritative data across the business.
Architect and integrate agentic AI and LLM-driven workflows (autonomous agents, RAG pipelines, AI copilots) into data platforms and pipelines to drive efficiency and new capabilities.
Build and support the data foundations for machine learning and AI, including feature stores, vector stores, embeddings, and ML/LLMOps pipelines.
Design and deliver backend data services and APIs (REST/GraphQL), and contribute across the stack to expose curated datasets to applications, analytics, and BI consumers.
Set engineering standards and best practices for data quality, modeling, testing, observability, and deployment across the organization, including responsible use of AI-assisted development tools.
Establish data governance, lineage, cataloging, and quality frameworks across the data estate.
Lead technical design reviews and provide architectural guidance to multiple engineering and data teams.
Partner with product, analytics, and engineering leadership to translate business strategy into scalable data roadmaps, including AI-driven capabilities.
Identify and resolve systemic performance, reliability, and scalability issues across the data stack.
Mentor and coach senior and mid-level engineers, raising the technical bar across the organization on data engineering, MDM, and AI practices.
Drive adoption of modern frameworks, tools, and engineering practices, including agentic AI and LLM tooling, to improve delivery velocity and platform resilience.
Maintain awareness of emerging technologies and industry trends, particularly in agentic AI, master data management, and modern data platforms, and assess their applicability to the business.

Qualifications

Basic Qualifications

Bachelor's degree in Computer Science, Engineering, MIS, or related field preferred.
12+ years of experience in data engineering or software engineering, with demonstrated experience architecting data platforms and pipelines at scale.
Expert-level SQL and strong proficiency in Python (Scala or Java a plus) for large-scale data processing and transformation.
Deep experience with cloud data platforms (e.g., Databricks, Snowflake, Synapse, BigQuery, Redshift) and cloud-native architecture patterns.
Deep understanding of distributed systems, data modeling (dimensional, data vault, lakehouse), and ETL/ELT architecture.
Hands-on experience designing and implementing Master Data Management (MDM) solutions, including entity resolution, match/merge, golden records, and reference/hierarchy management (e.g., Informatica, Reltio, Profisee, or similar).
Hands-on experience building or integrating agentic AI systems, LLM-powered applications, RAG pipelines, or AI agent orchestration frameworks (e.g., LangChain, AutoGen, Semantic Kernel, MCP).
Experience building backend data services and APIs (REST/GraphQL), with comfort working across the full stack.
Strong background with both relational (SQL) and NoSQL data stores, plus data lake/lakehouse formats (Delta, Iceberg, Parquet).
Deep understanding of CI/CD pipelines, infrastructure as code, and DevOps/DataOps practices.
Proven track record of leading large-scale technical initiatives across multiple teams.
Demonstrated ability to mentor engineers and influence technical direction without direct reporting authority.

Preferred Qualifications

Experience with data governance, lineage, and cataloging tools (e.g., Unity Catalog, Microsoft Purview, Collibra, Alation).
Experience designing multi-agent systems, tool-calling architectures, or retrieval-augmented generation (RAG) pipelines.
Experience with event-driven architectures and streaming/real-time data processing (e.g., Kafka, Event Hubs, Kinesis, Flink, Spark Structured Streaming).
Experience building the data layer for ML/AI, including feature stores, vector databases, embeddings, and ML/LLMOps.
Familiarity with containerization and orchestration (Docker, Kubernetes) and workflow orchestration (Airflow, Dagster, dbt).
Prior experience in commercial real estate, fintech, or operations/transaction systems.
Track record of speaking, writing, or open-source contributions that demonstrate technical thought leadership, especially in applied AI or data.

Why Join Us?

Shape the technical direction of business-critical data platforms at enterprise scale, including master data management and next-generation agentic AI initiatives.
Be part of a high-impact team where ownership, innovation, and technical excellence drive success.
Competitive compensation, growth opportunities, and access to world-class engineering, data, and AI resources.
Collaborative Culture: Join a high-caliber team with deep expertise across data engineering, cloud, MDM, agentic AI, and distributed systems.
Growth & Learning: Access world-class learning resources and mentorship to advance your career.
Work-Life Balance: Flexible working hours and hybrid options.
Benefits: Comprehensive health, dental and vision insurance.

If you're passionate about architecting scalable data platforms, building trusted master data and agentic AI-driven solutions, and shaping engineering culture, we'd love to hear from you!

Apply now and help redefine the future of data and AI at scale!

Salary

The expected base salary for this position ranges from $190,000 to $250,000 annually. The actual base salary will be determined on an individualized basis taking into account a wide range of factors including, but not limited to, relevant skills, experience, education, and, where applicable, licenses or certifications held. In addition to base salary and a competitive benefits package, this position may be eligible for additional types of compensation including discretionary bonuses and other short- and long-term incentives (e.g., deferred cash, equity, etc.).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183591
Position Id: 74f28ec045d299f8900e45b6c4eb5f5
Posted 17 hours ago

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

.DATA ENGINEER LEAD.INFO TECH SERVICES

Dallas, Texas

•

Today

Job Description Provides technical and strategic leadership for the County's data engineering function, overseeing the design, development, and delivery of scalable data systems and services. Defines engineering standards, leads complex cross-functional projects, and ensures the reliability, performance, and security of data pipelines. Guides modernization efforts, mentors engineering staff, and serves as a key contributor to the County's enterprise data and analytics strategy. Responsibilitie

Full-time

Staff Systems Engineer - Digital

Remote or Rhode Island

•

Today

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health , you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time. Position Summary: We are looking for a Staff Systems Eng

Full-time

USD 130,295.00 - 260,590.00 per year

Director Data Engineering Artificial Intelligence

Remote

•

Today

Overview We are seeking a seasoned Director of Data Engineering to lead and scale a high-performing, enterprise-grade data engineering organization for a healthcare company with petabytes of data. This role is responsible for architecting and governing the data infrastructure and drive the technical roadmap across foundational infrastructure, streaming pipelines, analytics engineering, and AI enablement, and serve as a strategic partner to product, analytics, clinical informatics, and technolog

Full-time

USD 190,000.00 - 225,000.00 per year

Data Engineer - AI & Analytics

No location provided

•

Today

CTG is seeking to fill a Data Engineer - AI & Analytics position for our client. Join a high-impact team helping organizations modernize their data ecosystems to power next-generation AI, machine learning, and analytics solutions. This role is ideal for an experienced Data Engineer who thrives on designing scalable data platforms, building modern data pipelines, and transforming complex data into trusted, AI-ready assets. Location: Remote Duration: 5 months Duties: Assess customer data enviro

Full-time

USD 70.00 - 75.00 per hour

Search all similar jobs

More jobs at NEWMARK in Dallas, TX