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Added 12 mins ago
TT
Research Engineer, Evals
True Talent Solutions Partners
San Francisco, CA
- $250,000 to $290,000 USD / year
- Strong Python skills and experience with machine learning, LLMs, data pipelines, web scraping, NLP, evaluation frameworks, and statistical analysis.
Added 12 mins ago
TT
Software Engineer, C++ Systems
True Talent Solutions Partners
San Francisco, CA
- $250,000 to $325,000 USD / year
Join a systems engineering team building the core of a GPU virtualization platform for AI and machine learning workloads. You will improve low-level C++ infrastructure that helps scale GPU…
Added 15 mins ago
IT Manufacturing Data Solutions Engineer
Corning Incorporated
Newton, NC
The engineer works closely with Operations, Engineering, Quality, SAP, CAMSTAR and IT teams to understand manufacturing processes, integrate data from multiple systems, and deliver insights…
Added 15 mins ago
IT Controls Engineer
Corning Incorporated
Newton, NC
The IT Controls Engineer supports the design, implementation, and continuous improvement of manufacturing control systems and operational technology across both Trivium manufacturing…
Added 15 mins ago
Principal Engineer, Automation Engineering -Aseptic Filling SME
J&J Family of Companies
Wilson, NC
The Automation Engineer will serve as the subject matter expert (SME) for the integrated aseptic vial and syringe filling lines for Project Eagle in Wilson, North Carolina. This role…
Added 18 mins ago
Data Engineer, Clinical Operations
E.R. Squibb & Sons,L.L.C.
Princeton, NJ
Leverage Databricks Mosaic AI and MLflow to develop, track, deploy, and manage machine learning and GenAI models at scale within cross-study and specimen management contexts.
Added 39 mins ago
UG
Principal Data Engineering - Remote
UnitedHealth Group
Minnetonka, MN
- $112,700 to $193,200 USD / year
The Principal Data Engineer is a senior individual contributor responsible for designing, building, and scaling enterprise data platforms and data pipelines. This role combines cloud-based…
Added 42 mins ago
TT
Founding ML Research Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $230,000 USD / year
- A CS, machine learning, or engineering degree and a record of independently driving product work are preferred.
Added 42 mins ago
Staff ML Engineer - Embodied AI Scaling Foundations
General Motors LLC
Remote, United States
As a Staff AI/ML Engineer in the Embodied AI Data Foundations organization, you will be an individual contributor developing data-centric AI solutions that directly improve autonomous…
Added 45 mins ago
AL
Senior Data Engineer
Absentia Labs
San Francisco, CA · Boston, MA · New York City, NY · Seattle, WA · San Jose, CA · Austin, TX
- $125,000 to $160,000 USD / year
Absentia Labs is building the data and intelligence infrastructure that powers the next generation of biomedical discovery. We work at the intersection of biology, chemistry, machine…
Added 46 mins ago
RTL Engineer – Physical AI Solutions
Altera
San Jose, CA
…workloads. This is an opportunity to work on cutting-edge FPGA and heterogeneous compute solutions that bridge the digital and physical worlds, enabling intelligent robotics, autonomous…
Added 57 mins ago
AI Engineer
NCR VOYIX
ATLANTA, GA
…This role involves applying advanced analytical techniques, machine learning, and statistical modeling to extract actionable insights from complex datasets, driving data-informed…
Added 59 mins ago
Junior Software Engineer
Koniag Government Services
Washington, DC
Exposure to machine learning frameworks (PyTorch, TensorFlow, or Scikit-learn) and/or LLM libraries (LangChain, Hugging Face).
Added 59 mins ago
AI Security Engineer - Mid
Koniag Government Services
Washington, DC
…professional with demonstrated hands-on experience developing and integrating AI and machine learning solutions within complex federal IT environments. This individual must possess solid…
Added 59 mins ago
Perplexity/AI Integration Lead
Koniag Government Services
Washington, DC
…is seeking a Perplexity/AI Integration Lead to support KITS and our government customer in Washington, DC. The position is remote. This position requires the candidate to be able to obtain…
Added 59 mins ago
Senior Developer & DBE (REMOTE)
Koniag Government Services
Albuquerque, NM
…up. The ideal candidate is an experienced, hands-on developer and database engineer who is passionate about technology, committed to lifelong learning, and able to apply technical knowledge…
Added 1 hour ago
Principal Software Engineer
The MITRE Corporation
McLean, VA · Bedford, MA
Familiarity with AI and machine learning services and the data, integration, and security capabilities needed to support their use.
Added 1 hour ago
TT
Lead Software Engineer, Platform
True Talent Solutions Partners
San Francisco, CA
- $220,000 to $320,000 USD / year
- Partner with machine learning engineers to serve in-house models efficiently and integrate them into production workflows.
Added 1 hour ago
TT
Robotics Software Engineer
True Talent Solutions Partners
Watertown, MA
- $130,000 to $180,000 USD / year
- Coordinate real-time robot software, motion-planning optimization, and machine-learning pipelines across platforms.
Added 1 hour ago
TT
Senior Forward Deployed Engineer, Operate
True Talent Solutions Partners
New York, NY
- $170,000 to $205,000 USD / year
- Experience with data or machine learning pipelines, such as ETL/ELT, document ingestion, or predictive models, is valuable.
Added 1 hour ago
Platform Engineer, IT
True Anomaly
Denver, CO · Long Beach, CA
Implement and manage AI services including Azure OpenAI, Cognitive Services, and Machine Learning
Added 1 hour ago
Fellow Software Engineer-Eng (Agentic AI Architecture & Engineering)
UKG
Jefferson City, MO
…transformer models, diffusion models, GANs, large language models, and multi-modal architectures. Familiarity with NLP and machine learning algorithms, such as linear and logistic…
Added 1 hour ago
Staff Kernel Optimzation Engineer
Cerebras Systems
Sunnyvale, CA
As a Kernel Engineer on our team, you will develop high-performance software solutions at the intersection of hardware and software, developing high-performance software for cutting-edge AI…
Added 1 hour ago
T
Senior AI/ML Engineer
TEKsystems
New York, NY
- $119,800 to $179,800 USD / year
…unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience…
Added 1 hour ago
Senior Machine Learning Engineer, AI Safety Evaluations
NVIDIA USA
CA
We are looking for a Machine Learning Engineer / AI Researcher / Data Scientist to join our AI Safety and Responsibility efforts within Enterprise Risk Management. Engaging directly in…

Stateside

Senior Engineer Data Enablement & Management (Redshift/Databricks)

Adelphi, MD, United States

$119,000.00 - $129,000.00

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Job details

Pay: $119,000.00 - $129,000.00
Posting language: English
Posted: Nov 4, 2026

Original job description

Senior Engineer Data Enablement & Management (Redshift/Databricks)

Enterprise Architecture, Data, & Integrations

US Exempt Regular

Full time

Stateside Exempt 4.3

Senior Engineer Data Enablement & Management (Redshift/Databricks) Central IT Admin Exempt Regular 4.3 Location: Adelphi, MD (Hybrid, On-Site Presence Required)

The Senior Engineer, Data Enablement & Management is responsible for leading the design, implementation, modernization, and operational reliability of UMGC's enterprise Lakehouse and Data & AI platform. This role serves as a senior technical leader for enterprise data engineering, data platform operations, and advanced analytics enablement, providing expertise across Databricks, Delta Lake, Apache Spark, AI/BI capabilities, and cloud data architectures. The Senior Engineer leads complex data initiatives, mentors engineering staff, establishes engineering standards, and partners closely with Data Architecture, Data Science & AI, Business Intelligence, Application Engineering, and business stakeholders to deliver scalable, secure, and trusted enterprise data capabilities.

Duties and Responsibilities:

Enterprise Data Engineering & Technical Leadership.

Lead the design, implementation, optimization, and operational maturity of enterprise data engineering capabilities across the Data & AI platform. Establish engineering standards, reusable frameworks, architectural patterns, automation practices, and operational procedures that support scalable and reliable enterprise data services.

Data Integration, Lakehouse & Platform Modernization.

Lead development and modernization of enterprise data pipelines, Lakehouse architecture components, data products, and integration capabilities supporting structured, semi-structured, and unstructured data.
Guide complex migration and modernization efforts, including Redshift-to-Databricks transitions and enterprise data platform transformation initiatives.

AI, Analytics & Data Product Enablement.

Lead engineering efforts supporting Databricks AI/BI dashboards, Genie Agents, Genie One, semantic models, governed data products, data marts, and advanced analytics capabilities.
Ensure platform capabilities effectively support business intelligence, AI, machine learning, operational analytics, and self-service reporting objectives.

Data Governance, Quality & Security Engineering.

Lead implementation of data quality frameworks, metadata management, lineage capabilities, observability controls, security policies, and governance standards.
Ensure enterprise data assets meet organizational requirements for trust, compliance, auditability, privacy, and operational reliability.

Platform Operations, Reliability & Performance Optimization.

Provide senior-level engineering leadership for platform monitoring, resilience, performance optimization, troubleshooting, incident management, and operational support.
Lead efforts to improve service reliability, scalability, efficiency, cost management, and operational maturity across enterprise data environments.

Mentoring, Innovation & Continuous Improvement.

Mentor engineers and technical resources while contributing to engineering standards, design reviews, technical evaluations, and platform best practices.
Evaluate emerging technologies and automation opportunities that advance organizational data, AI, and analytics capabilities.
Other duties as assigned.

Competencies:

Advanced data engineering and Lakehouse expertise
Technical leadership and engineering excellence
Enterprise data architecture implementation
Data quality, governance, and security awareness
Analytical thinking and complex problem solving
Systems thinking and platform optimization
Automation and operational excellence
Collaboration and stakeholder engagement
Mentoring and knowledge sharing
Accountability and results orientation
Innovation and continuous improvement
Adaptability and continuous learning.

Skills:

Databricks Data Intelligence Platform
Apache Spark, Delta Lake, and Medallion Architecture
Enterprise data engineering and pipeline development
Databricks AI/BI dashboards, Genie Agents, and Genie One
Advanced SQL, Python/PySpark, and Scala
AI/ML enablement and MLflow operations
Data product engineering and semantic model development
Lakehouse, data warehouse, and data lake architecture implementation
Data integration, APIs, JDBC, cloud storage, and orchestration
Unity Catalog, metadata, lineage, and governance technologies
Data quality, observability, monitoring, and automation
Zero Trust security controls and data protection
Azure and AWS data platform services
CI/CD, DevOps, DataOps, AIOps, and MLOps
Performance tuning, scalability, and cost optimization
Technical mentoring and engineering governance.

Education & Experience Requirements:

Education:

Bachelor's Degree in Computer Science, Information Systems, Software Engineering, Data Science, Information Technology, Computer Engineering, or a related technical discipline or equivalent combination of education and experience.

Experience:

5+ years of progressive experience in data engineering, data platform engineering, analytics engineering, database engineering, or related disciplines.
Experience leading enterprise-scale Databricks, Delta Lake, Spark, and Lakehouse implementations.
Experience designing and operating enterprise data pipelines, governed data products, and analytical platforms.
Experience supporting Databricks AI/BI capabilities, semantic models, Genie Agents, and advanced analytics solutions.
Experience implementing enterprise data governance, observability, security, and operational controls.
Experience leading modernization, migration, automation, and platform optimization initiatives.
Experience mentoring engineers and serving as a senior technical resource for data platform initiatives.

Certifications:

Not required.

Preferred Experience Requirements:

Education:

Master's Degree in Computer Science, Information Systems, Software Engineering, Data Science, Information Technology, Computer Engineering, or a related technical discipline (or equivalent combination of education and experience).

Experience:

8+ years of progressive experience in enterprise data engineering, cloud data platforms, analytics engineering, AI enablement, or Lakehouse operations.
Experience serving as a Senior Data Engineer, Lead Data Engineer, Data Platform Engineer, Analytics Engineer, or similar senior technical role.
Experience leading enterprise data modernization, Lakehouse transformation, AI enablement, and cloud migration initiatives.
Experience integrating PeopleSoft, D2L, Salesforce, Workday, ERP, CRM, LMS, and SaaS platforms into enterprise data ecosystems.
Experience implementing advanced governance, metadata, lineage, MDM, AI/ML, and observability capabilities.
Experience working within higher education or similarly complex enterprise environments preferred.

Certifications:

Databricks Certified Data Engineer Professional
Databricks Certified Machine Learning Professional
Azure Data Engineer Associate
Microsoft Fabric Analytics Engineer Associate
AWS Certified Data Engineer Associate
AWS Solutions Architect Associate or Professional
ITIL Foundation or advanced ITSM certification.

All submissions should include a cover letter and resume.

The University of Maryland Global Campus (UMGC) is an equal opportunity employer and complies with all applicable federal and state laws regarding nondiscrimination. UMGC is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, ancestry, political affiliation or veteran status in employment, educational programs and activities, and admissions.

Workplace Accommodations:

The University of Maryland Global Campus Global Campus (UMGC) is committed to creating and maintaining a welcoming and inclusive working environment for people of all abilities. UMGC is dedicated to the principle that no qualified individual with a disability shall, based on disability, be excluded from participation in or be denied the benefits of the services, programs, or activities of the University, or be subjected to discrimination. For information about UMGC’s Reasonable Workplace Accommodation Policy or to request an accommodation, applicants/candidates can contact Employee Accommodations via email at employee-accommodations@umgc.edu.

Benefits Package Highlights:

Generous Time Off: Enjoy 22 days of paid vacation, 15 days of sick leave, 3 personal days, and 16 paid holidays (17 during general election years). For part-time employees, time off rates will be prorated based on the number of hours worked.
Comprehensive Health Coverage: Access to health care, medical with vision, dental, and prescription plans for both individuals and families, effective from the 1st of the month following your hire date.
Insurance Options: Term Life Insurance, Accidental Death and Dismemberment Insurance, and Long-Term Disability (LTD) Insurance. Part-time employees working less than 0.5 FTE are not eligible for LTD.
Flexible Spending Accounts: Available for medical and dependent care expenses.
Retirement Plans: Choose between the Optional Retirement Program (ORP) or the Maryland State Retirement and Pension System (MSRPS).
Supplemental Retirement Plans: include 401(k), 403(b), 457(b), and various Roth options. The university does not provide matching funds.
Tuition Remission: Immediate availability for Regular Exempt Staff. Spouses and dependent children are eligible for undergraduate tuition remission after two years of service. NOTE: For part-time employees (at least 50 percent of the time), tuition remission benefits are prorated.

Hiring Range:

$119,000.00 - $129,000.00

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