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Added 4 mins ago
ML Compression Engineer
The Compression Company
San Francisco, CA
…minimal manual effort. Your work will directly drive product performance and the pace at which we can ship into new customer…
Added 4 mins ago
Forward-Deployed Engineer, Earth Observation
The Compression Company
San Francisco, CA
You've worked with constrained deployments (compute, power, bandwidth, reliability) and performance tradeoffs
Added 5 mins ago
VA
Founding Engineer (Hybrid)
Voxology AI
Austin, TX
- $150,000 to $250,000 USD / year
We’re hiring a Founding Engineer to join us full-time on-site in Austin, TX. You’ll take end-to-end ownership of our technical roadmap, working closely with leadership to design, build, and…
Added 5 mins ago
VA
Founding Engineer
Voxology AI
Austin, TX
- $150,000 to $250,000 USD / year
We’re hiring a Founding Engineer to join us full-time on-site in Austin, TX. You’ll take end-to-end ownership of our technical roadmap, working closely with leadership to design, build, and…
Added 8 mins ago
Founding Robotics Perception Engineer
Greenlight Robotics
San Francisco, CA
We are looking for a Robotics Perception Engineer to build the perception stack of our product. Reporting directly to our Co-founder & CTO, you will write, review, and deploy software that…
Added 8 mins ago
Founding Motion Planning & Prediction Engineer
Greenlight Robotics
San Francisco, CA
We are looking for a Machine Learning Engineer to build the prediction and planning models of our product. Reporting directly to our Co-founder & CTO, you will own the training, validation,…
Added 8 mins ago
HA
Senior Software Engineer
HeyMilo AI
New York City, NY
- $160,000 to $250,000 USD / year
We're looking for a Senior Software Engineer (Core Platform & AI Insights) to optimize the quality of our insights and analysis, ensuring that our AI generates accurate, high-value hiring…
Added 9 mins ago
Senior Data Engineer
Marble Technologies
Lincoln, NE · Omaha, NE · Cambridge, MA
As a Senior Data Engineer at Marble, you will own the design and performance of data pipelines that power everything from real-time classification dashboards to ML training datasets to…
Added 9 mins ago
MB
Sr. ML Engineer
Memory Bridge
Remote, United States
- IRR 800,000,000 to IRR 1,200,000,000 IRR / year
This is a rare opportunity to join our team as the founding ML engineer, where your code will directly shape how AI systems remember and learn. If you’re a strong programmer who has evolved…
Added 9 mins ago
MB
Sr. Backend Engineer
Memory Bridge
Remote, United States
- IRR 800,000,000 to IRR 1,200,000,000 IRR / year
Develop high-performance APIs that handle real-time prompt augmentation, including intelligent caching strategies and query optimization
Added 9 mins ago
Sr. Applied ML Engineer
Memory Bridge
Remote, United States
This is a rare opportunity to join our team as the founding ML engineer, where your code will directly shape how AI systems remember and learn. If you’re a strong programmer who has evolved…
Added 10 mins ago
AI Engineer - Fintech Platform
Sonar Search
Remote, United States
Our client, an innovative fintech startup, is seeking an AI Engineer to build intelligent agents and LLM-powered features for their financial automation platform. Success in this position…
Added 11 mins ago
Senior Generative AI Engineer / Architect
Cinter Career
Plano, TX
・Job Title: Senior Generative AI Engineer / Architect
Added 17 mins ago
M
Software Engineer, Teamwork Experiences Internship Opportunities
Microsoft
WA · Redmond, WA · Redmond
- $5,690 to $12,250 USD / month
…the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at…
Added 17 mins ago
M
Senior Software Engineering Manager
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
…continuously and drives engineering excellence. If you are a software engineer who is passionate about developing people and looking to have a huge impact at Microsoft in AI, this could be…
Added 40 mins ago
Business Intelligence /Data Engineer
Technamo LLC
Springfield, VA
As a Business Intelligence / Data Engineer you will be responsible to create data-driven system based cloud enabled environment
Added 41 mins ago
[USA] Principal Software Engineer
Spectrum Effect
Bellevue, WA
We are seeking a Principal Software Engineer with a strong aptitude for designing, developing, and deploying high-performance software solutions while defining best practices and technical…
Added 44 mins ago
Machine Learning Engineer
Pattern AI
Remote, United States
We’re seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing &…
Added 44 mins ago
PP
AI Backend Engineer, Artificial Intelligence (AI) Required, Work From Home
Parallel Partners
Remote, United States
- $140,000 to $200,000 USD / year
- Continuously improve system reliability, scalability, and performance.
Added 44 mins ago
PP
Android Software Engineer, Artificial Intelligence (AI) Required, Work From Home
Parallel Partners
Remote, United States
- $120,000 to $175,000 USD / year
Keywords: San Francisco CA Jobs, Android Software Engineer, AI-enabled Mobile Features, Android Applications, Android Jetpack, Asynchronous Programming, Automation Workflows, Chat…
Added 44 mins ago
PP
iOS Software Engineer, Artificial Intelligence (AI) Required, Work From Home
Parallel Partners
Remote, United States
- $120,000 to $175,000 USD / year
We are looking for a talented iOS Software Engineer to build and evolve mobile applications that power insurance and financial products. You will also contribute to features that leverage…
Added 44 mins ago
PP
Applied Machine Learning (ML) Engineer, Machine Learning (ML) and Artificial Intelligence (AI) Required, Work From Home
Parallel Partners
Remote, United States
- $120,000 to $160,000 USD / year
Keywords: San Francisco CA Jobs, Applied Machine Learning (ML) Engineer, AI, Artificial Intelligence, Datasets, Embedding, JAX, Machine Learning (ML) Classification, Machine Learning (ML)…
Added 44 mins ago
PP
Machine Learning (ML) Engineer, Ranking & Retrieval, Machine Learning (ML) and Artificial Intelligence (AI) Required, Work From Home
Parallel Partners
Remote, United States
- $120,000 to $160,000 USD / year
…Machine Learning (ML) Classification, Machine Learning (ML) Engineer, Machine Learning (ML) Inference Pipelines, Machine Learning (ML) Models, Machine Learning (ML) Performance Metrics,…
Added 47 mins ago
Technical Marketing Engineer and Writer
Hedgehog
Remote, United States
AI needs a new network. Hedgehog is the AI network. AI developers need new cloud infrastructure with high performance compute that trains and tunes generative AI models quickly and…
Added 49 mins ago
AI Full Stack Engineer - Dallas, TX
Cystems Logic Inc
Dallas, TX
Job Description: We are seeking a highly skilled and experienced AI Full Stack Engineer to join our team and contribute to the development of scalable, high-performance systems and…

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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