Jobs in the United States

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Added 1 hour ago
PG
Senior Software Engineer
Publicis Groupe Holdings B.V
Irving, TX
- $88,900 to $165,100 USD / year
We are looking for a highly experienced Senior Software Engineer (7–10 years) to design, build, and scale robust backend systems using Java and Python in an Agile environment. This role has…
Added 3 hours ago
Principal Engineer & Technical Lead - Azure / Containers
Aperia
Dallas, TX
We are hiring a Principal Engineer and Technical Lead: a builder first, with deep architecture and enterprise design pattern experience behind every line of code. This person is the SVP of…
Added 4 hours ago
Associate Engineer, Analytical AI Engineering
E.R. Squibb & Sons,L.L.C.
Princeton, NJ
The Associate Engineer is a developing individual contributor who delivers reliable, well-scoped engineering work within established patterns. You will help build data pipelines, ML…
Added 6 hours ago
Management Consultant - Data Engineer
IBM
LA
As a Data Engineer specializing in Data Platforms-Databricks, you will play a critical role in building and enhancing the Databricks platform for client's Data and AI use cases. This…
Added 6 hours ago
J
Senior Technical Lead - AI Product Engineering (CMH Health)
Jobgether
Remote, United States
- $131,600 to $249,780 USD / year
The ideal candidate is an experienced software engineer and technical leader who can combine strong implementation skills with sound architectural judgment, delivery accountability, and the…
Added 6 hours ago
Senior Data Architect
Jobgether
Remote, United States
Evaluate platform options and build-versus-buy decisions across Microsoft Fabric, Databricks, Azure Synapse Analytics, and Azure SQL, clearly communicating costs, risks, and implementation…
Added 6 hours ago
Data Engineer (5626)
SMX
Honolulu, HI
SMX is hiring a Data Engineer responsible for architecting, building, testing, and maintaining the data infrastructure for our mission partners. You will be responsible for a mix of data…
Added 6 hours ago
Platform and Data Engineer
BOOZ, ALLEN & HAMILTON, INC.
Pearl Harbor, HI
…unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an…
Added 9 hours ago
Principal AV Behavior Safety Engineering Lead
General Motors
Frankfort, KY
The AV Safety Strategy and Assurance team is seeking a hands‑on Principal engineer with extensive experience in the end‑to‑end development lifecycle of autonomous vehicle behaviors, from…
Added 9 hours ago
Databricks Admin Specialist - 6456969
Accenture Flex LLC Company
Remote, United States
As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions that support data generation, collection, and processing. Your day-to-day activities…
Added 11 hours ago
E
Senior Data Analyst
Envoy
San Francisco, CA
- $162,500 to $176,250 USD / year
You'll work like a forward-deployed engineer embedded in Marketing: sit with the team, find the problem, and ship the data product that solves it - on AWS, in production, end to end.
Added 11 hours ago
Summer 2027 Intern - Forward Deployed Engineer - Global Public Sector
Salesforce.com, Inc.
Darbydale, OH
…of Salesforce. TITLE: Summer 2027 Intern - Forward Deployed Engineer - Global Public Sector Location: Remote | Program Duration: 12 weeks About the RoleSalesforce is looking for a Forward…
Added 12 hours ago
Senior AI Automation Data Engineer
Micron Technology, Inc.
Boise, ID
Micron is seeking a Senior AI Automation Data Engineer to design, build, and scale modern enterprise data platforms that support AI, automation, analytics, and digital transformation…
Added 12 hours ago
M
Product Marketing Manager
MotherDuck
Seattle, WA · New York, NY · San Francisco, CA
- $130,000 to $185,000 USD / year
…for, why we’re different, and how to say it in a way a data engineer won’t roll their eyes at... then keep it fresh as the product and market…
Added 12 hours ago
Cloud Engineer Marketing Data Platform
Capgemini
New York, NY, NY
Provide the foundation Databricks on GCP needs: projects, VPC, service accounts, and GCS buckets
Added 12 hours ago
Sr Lead Software Engineer(AI, Data Cloud)
JPMC page
Plano, TX · Columbus, OH · Jersey City, NJ
As a Senior Lead Software Engineer at JPMorganChase within Corporate Technology – Chief Technology Office, you serve as a senior individual contributor and technical leader on an agile team…
Added 12 hours ago
RC
Senior Ai/ML Engineer
Redhorse Corporation
Remote, United States
- $180,000 to $200,000 USD / year
…seeking an Artificial Intelligence (AI)/Machine Learning (ML) Engineer to support Condition-Based Maintenance Plus (CBM+) initiatives that improve aircraft sustainment and optimize…
Added 13 hours ago
Sr. OT/AVEVA PI Engineer
INSPYR Solutions
Houston, TX
This is not a traditional Data Engineer or software development position. The priority is someone who understands OT systems, PI Historian data, and Oil & Gas operations, with enough…
Added 13 hours ago
Lead Data & Software Engineer
Ovative Group, LLC
NY
…experience strong after launch. We're hiring a Lead Data & Software Engineer to be the team's technical leader. You set the technical strategy for client delivery, decide where engineering…
Added 13 hours ago
AI Engineer
SAIC
College Park, MD
We are seeking a Senior AI Engineer to design, develop, and deploy IRIS, an AI agent supporting the HFDP Data Integration project. IRIS will help users discover, connect, and understand…
Added 14 hours ago
Software Engineer III - Python/AI/MLOps
JPMC page
Wilmington, DE
As a Software Engineer III - Python/AI/MLOps at JPMorganChase within the Corporate Technology team, you serve as a seasoned member of an agile team to design and deliver trusted…
Added 14 hours ago
Lead Data Engineer - PySpark/Databricks/SQL/AWS
JPMC page
Wilmington, DE
As a Lead Data Engineer - PySpark/Databricks/SQL/AWS at JPMorganChase within the Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver…
Added 14 hours ago
Platform Engineer II
Amerisure Mutual Insurance Company
Farmington Hills, MI
We are recruiting for a Platform Engineer II to join our team. This is a hybrid position working out of our Farmington Hill, MI office 3 days a week and 2 from home.
Added 14 hours ago
Platform and Data Engineer
Booz Allen Hamilton_United States
Pearl Harbor, HI
…unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an…
Added 14 hours ago
Data Engineer, Mid
Booz Allen Hamilton_United States
McLean, VA
As a data engineer on our team, you’ll work with experienced engineers and technical teams to design, develop, test, and maintain data pipelines and data processing workflows. You’ll use…

Hillwood

Senior Data Engineer

Dallas, TX, United States

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Job details

Education: Bachelor’s degree
Posting language: English
Posted: Oct 30, 2026

Original job description

Company Overview:

Hillwood, a Perot Company, is a premier real estate investment and development company founded on a culture of integrity, respect, excellence and teamwork. The company is a full-service real estate developer, investor and advisor focused on developing opportunities for investors, partners and communities around the world. See additional details at www.hillwood.com.

Position Summary:

Hillwood is seeking a Senior Data Engineer to join its Corporate IT team in Dallas, Texas. This role will play a key part in the development and ongoing evolution of Hillwood's enterprise-wide Data Lakehouse on the Databricks platform, which serves as the foundation for analytics, artificial intelligence, and data-driven decision-making across the organization.

The Senior Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and integration solutions that deliver reliable, trusted, and AI-ready data across all business units. This role partners closely with business stakeholders and technology teams to understand data requirements, ensure data quality, and deliver trusted data solutions that support meaningful business insights. The ideal candidate combines strong technical expertise with a customer-focused mindset and a commitment to delivering secure, scalable, and high-quality data solutions that support business growth and innovation.

Responsibilities:

Data Engineering:

Design, develop, and maintain scalable data pipelines within the Databricks platform to integrate data from Hillwood's core business systems, including JD Edwards, OneStream, Yardi, Entrata, Cecilian, Quickbase, UKG, Medius, and other enterprise applications.
Develop and maintain data models across Bronze, Silver, and Gold layers in accordance with Hillwood's enterprise data architecture and medallion framework.
Implement incremental processing and change data capture (CDC) methodologies to ensure data remains current, accurate, and cost-efficient.
Administer and maintain Unity Catalog, including schema management, data governance, permissions, and lineage tracking.

Platform Reliability and Engineering Excellence:

Design and support production-ready data pipelines with automated scheduling, monitoring, alerting, and recovery capabilities.
Optimize data processing workflows, jobs, and compute resources to improve performance, scalability, and cost efficiency.
Establish and maintain engineering best practices, including version control, code reviews, automated testing, and continuous integration/continuous deployment (CI/CD) processes.
Create and maintain technical documentation, standards, and operational procedures to support long-term platform sustainability and knowledge transfer.

Data Quality and Governance:

Develop and implement data quality frameworks, validation rules, reconciliation processes, and monitoring capabilities to ensure data accuracy and reliability.
Investigate and resolve data quality issues by identifying and addressing root causes.
Partner with business stakeholders and data owners to define data standards, ownership, business definitions, and quality expectations.
Ensure certified and business-critical datasets align with Hillwood's data governance framework and established quality standards.

AI-Enabled Data Solutions:

Leverage AI-assisted development tools, including coding assistants and platform-native AI capabilities, to accelerate development, improve code quality, and increase team productivity.
Support the establishment of standards and best practices for the responsible use of AI-assisted software development.
Continuously evaluate emerging AI technologies and identify opportunities to improve engineering processes, platform operations, and solution delivery.
Prepare and optimize lakehouse data assets for AI, machine learning, and natural language access use cases.

Advanced Analytics and AI Platform Enablement:

Design and build data foundations that support advanced analytics and AI initiatives, including feature stores, vector search, retrieval architectures, and document-based data pipelines.
Partner with AI engineers, developers, and business stakeholders to deliver solutions that integrate structured and unstructured data within the Databricks ecosystem.
Support AI workloads and platform capabilities, including model serving, agent frameworks, and emerging GenAI use cases.
Identify and onboard new structured, unstructured, and third-party data sources that expand the value of the enterprise data platform.

Business Partnership and Knowledge Ownership:

Collaborate directly with finance and business unit stakeholders to understand business processes, data requirements, and reporting needs.
Validate data outputs and business metrics with the individuals who own the data before datasets are certified for business use.
Communicate technical concepts, risks, and trade-offs effectively to both technical and non-technical audiences.
Follow Hillwood's principle that technology solutions are business-led, partnering closely with stakeholders to align data capabilities with operational objectives and business priorities.
Partner with external engineering resources, review solution quality, and assume long-term ownership of delivered data pipelines and platform components.
Serve as an internal subject matter expert on the architecture, operation, and ongoing evolution of Hillwood's Enterprise Data Lakehouse platform.

Required Skills and Abilities:

Strong proficiency in SQL, Python, PySpark, and modern data engineering development practices.
Strong understanding of lakehouse architectures, data modeling principles, and enterprise data management concepts.
Ability to design scalable, reliable, and maintainable data solutions that support reporting, analytics, and AI use cases.
Knowledge of data governance, data quality, metadata management, and data lineage best practices.
Familiarity with source control, testing methodologies, code reviews, and CI/CD processes.
Strong analytical and problem-solving skills, with the ability to identify root causes and implement effective solutions.
Ability to balance performance, scalability, maintainability, and cost considerations when designing data solutions.
Effective written and verbal communication skills, including the ability to explain technical concepts to non-technical audiences.
Strong organizational skills and attention to detail, with the ability to manage multiple priorities in a fast-paced environment.
Ability to work independently while collaborating effectively with business stakeholders, technical teams, and external partners.
Curiosity and adaptability to evaluate emerging technologies, AI capabilities, and evolving data engineering best practices.
Customer-focused mindset with a commitment to delivering high-quality, business-driven solutions.

Education and Experience:

Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field required.
Minimum of five years of data engineering experience, including at least two years developing and supporting production solutions on the Databricks platform utilizing PySpark, Spark SQL, Delta Lake, and Databricks Workflows.
Experience designing, building, and maintaining enterprise data pipelines, data integrations, and lakehouse architectures in a cloud environment.
Hands-on experience administering and utilizing Unity Catalog, including metadata management, data lineage, security, and access controls.
Experience operating production data platforms, including monitoring, alerting, incident response, troubleshooting, and performance optimization.
Experience implementing data quality controls, reconciliation processes, and data governance standards.
Experience integrating data from ERP, financial, operational, or other enterprise business systems.
Experience working with Microsoft Azure and Git-based development and deployment tools, including Azure DevOps and/or GitHub.
Experience leveraging AI-assisted development tools as part of a professional software engineering workflow.
Experience supporting AI and machine learning initiatives through data engineering, feature engineering, vector search, retrieval-augmented generation (RAG), model-serving pipelines, or related technologies.
Demonstrated success partnering directly with business stakeholders to understand requirements, validate data, and deliver business-focused solutions.

Preferred Experience:

Databricks Data Engineer certification or equivalent Databricks credentials.
Experience supporting JD Edwards, OneStream, Yardi, Entrata, UKG, Medius, or similar enterprise platforms.
Experience working with data in the real estate, construction, energy, financial services, or related industries.
Experience transitioning, stabilizing, and optimizing data solutions developed by third-party consultants or implementation partners.
Experience supporting large language model (LLM), generative AI, or agent-based solution development.
Experience designing solutions that combine structured and unstructured data to support AI-enabled business applications.

Benefit Highlights:

Medical Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts (FSA)
Health Savings Accounts (HSA)
Vacation time
Sick time
Holidays
Paid family caregiver leave
Mental health and wellness resources
Life Insurance
Disability Insurance
401(k) with company match
Tuition assistance
Additional programs to support Associates and their families

EEO Statement:

Hillwood is committed to providing Equal Opportunity in Employment, to all applicants and employees regardless of race, color, religion, gender, age, national origin, military status, veteran status, handicap, physical or mental disability, sexual orientation, gender identity, genetic information or any other characteristic protected by law.

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