Data Driven Vs Model Driven Jobs in Usa

Senior Data Modeler

Hybrid 3-4 days onsite

Location: Phoenix, Arizona

Salary: $130,000 - $150,000 base

A large, operationally complex organization is undergoing a major modernization of its data platform and is building a new, cloud-native analytics foundation from the ground up. This is a greenfield opportunity for a senior-level data modeler to establish best practices, influence architecture, and help shape how data is organized and used across the business.

This role sits at the center of a multi-year transformation focused on modern analytics, scalable data products, and strong collaboration between data and business teams.

What You’ll Be Working On

• Designing and implementing enterprise data models across conceptual, logical, and physical layers
• Establishing Medallion architecture patterns and reusable modeling assets
• Building dimensional and semantic models that support analytics and reporting
• Partnering closely with domain experts and functional leaders to translate business needs into data structures
• Collaborating with data engineers to align models with ELT pipelines and analytics frameworks
• Helping define modeling standards and upskilling senior engineers in modern data modeling practices
• Contributing hands-on to data engineering work where needed (SQL, transformations, optimization)
• Proactively identifying analytics opportunities and recommending data structures to support them

This role is roughly 40% data modeling, 30% hands-on engineering, and 30% cross-functional collaboration.

Must-Have Experience

• Strong, hands-on experience with data modeling (dimensional, canonical, semantic)
• Deep understanding of Medallion architecture
• Advanced SQL and experience working with a modern cloud data warehouse
• Experience with dbt for transformations and modeling
• Hands-on experience in cloud-native data environments (AWS preferred)
• Ability to work directly with business stakeholders and explain technical concepts clearly
• Experience collaborating closely with data engineers on execution

Nice to Have

• Python experience
• Familiarity with Informatica or reverse-engineering legacy data models
• Exposure to streaming or near-real-time data pipelines
• Experience with visualization tools (tool choice is flexible)

Who Will Thrive in This Role

• A senior individual contributor who enjoys building from scratch
• Someone who can act as a modeling expert and mentor in an organization formalizing this practice
• Comfortable working in ambiguity and taking initiative
• Strong communicator who enjoys partnering with both technical and non-technical teams
• Equally comfortable discussing business concepts and physical data models

Why This Role Is Unique

• Greenfield data modeling initiative with real influence
• Opportunity to define standards that will be used across the organization
• Work on large-scale, real-world operational and analytical data
• High visibility within a growing data organization
• Flexible work setup for individual contributors

If you’re excited about shaping a modern data foundation and want to be the person who defines how data is modeled, understood, and used, this is a rare opportunity to make a lasting impact.

DEPLOY has been retained to find a Reporting & Data Architect Lead combines advanced reporting development with enterprise-level data governance and architectural leadership. In this role, you will own our client's enterprise reporting platform—designing robust Power BI solutions, managing shared data models, and ensuring the reporting environment remains secure, scalable, and high-performing.

You will also own our client's enterprise reporting standards and governance framework, ensuring reporting across all departments is consistent, trusted, and aligned with best practices. This includes defining reporting conventions, reviewing changes, onboarding departmental report creators, and stewarding enterprise reporting assets such as certified datasets and endorsed reports.

At the enterprise level, you will architect our client's data framework—defining how data is structured, named, documented, and shared across ERP, operational, manufacturing, and corporate systems. You will own the enterprise data dictionary, the centralized semantic model, and key architectural decisions around Microsoft Fabric and other data tooling. This role interacts frequently with executives to align data strategy with organizational growth and reporting needs.

Key Responsibilities

Enterprise Reporting (Hands-On Development)

• Build, optimize, and maintain enterprise-grade Power BI reports, dashboards, datasets, and data models.
• Develop and govern shared semantic models and reusable datasets that power enterprise-wide reporting.
• Use Microsoft Fabric, Dataverse, and related ETL/data management tools to shape and integrate reporting data sources.
• Manage dataset refresh schedules, performance tuning, workspace organization, gateway configuration, and reporting system reliability.
• Implement row-level security (RLS), workspace access patterns, and enterprise reporting permissions—Responsible, with the Director of Technology Accountable.
• Manage reporting governance artifacts including certified datasets, endorsed reports, and enterprise workspace standards.
• Support reporting scalability as our client grows (new factories, new business units, new product lines).

Enterprise Reporting Standards & Governance

• Own our client's enterprise reporting standards framework, covering naming conventions, modeling patterns, documentation practices, lifecycle management, visual design standards, and change control.
• Govern reporting development and deployment across the organization to ensure consistency and prevent duplicate or conflicting models.
• Review and approve reporting change requests, data model modifications, and access requests.
• Lead documentation and enablement for departmental report creators through training, guidance, and structured onboarding.
• Provide strategic direction around reporting maturity, sustainability, and enterprise alignment.

Enterprise Data Architecture

• Design and maintain our client's enterprise data architecture framework across ERP, operational, manufacturing, and corporate systems.
• Own the enterprise data dictionary, defining canonical field names, table structures, business definitions, and version control practices.
• Build and govern the centralized semantic model that powers reporting across the company.
• Advise and strongly influence enterprise-level decisions around Microsoft Fabric, data modeling strategy, and long-term architectural direction—and own the work that follows those decisions.
• Collaborate with engineering and system owners to coordinate schema changes, data integrations, and cross-system alignment.

Leadership & Collaboration

• Partner with C-suite and senior leaders to define reporting roadmaps, enterprise priorities, and data strategy.
• Communicate complex architectural concepts in clear, business-friendly terms.
• Lead cross-functional initiatives that require unified data structures or scalable reporting.
• Apply automation (Power Automate, Fabric pipelines) and AI tools to improve reporting efficiency, data quality, and governance workflows.

Ideal Candidate Profile

• Deep hands-on expertise with Power BI, Microsoft Fabric, data modeling, and cloud data platforms.
• Track record of establishing and enforcing enterprise reporting standards and governance.
• Strong architectural intuition: semantic modeling, master data definition, cross-system alignment, and scalable design.
• Able to operate as both an individual contributor and a strategic leader.
• Experience managing reporting governance artifacts (certified datasets, endorsed reports, workspace strategy).
• Comfortable influencing architectural decisions and guiding technical execution.
• Strong command of foundational tools and languages such as:
• DAX
• Power Query / M
• SQL
• Fabric pipelines / ETL tooling
• Experience with automation and AI-assisted analytics workflows.

Our client is a $28B NY based multi-strategy Hedge Fund currently seeking to add a talented Associate to their Data & Performance Analytics Team. This individual will be working closely with senior managers across finance, investment management, operations, technology, investor services, compliance/legal, and marketing.

Responsibilities

• This role will be responsible for Compiling periodical fund performance analyses
• Review and analyze portfolio performance data, benchmark performance and risk statistics
• Review and make necessary adjustments to client quarterly reports to ensure reports are sent out in a timely manner
• Work with all levels of team members across the organization to help coordinate data feeds for various internal and external databases, in effort to ensure the integrity and consistency of portfolio data reported across client reporting systems
• Apply queries, pivot tables, filters and other tools to analyze data.
• Maintain client relationship management database and providing reports to Directors on a regular basis
• Coordinate submissions of RFPs by working with RFP/Marketing Team and other groups internally to gather information for accurate data and performance analysis
• Identifying opportunities to enhance the strategic reporting platform by gathering and analyzing field feedback and collaborating with partners across the organization
• Provide various ad hoc data research and analysis as needed.

Desired Skills and Experience

• Bachelor’s Degree with at least 2+ years of Financial Services/Private Equity data/client reporting experience
• Proficiency in Microsoft Office, particularly Excel Modeling
• Technical knowledge, data analytics using CRMs (Salesforce), Excel, PowerPoint
• Outstanding communication skills, proven ability to effectively work with all levels of Managment
• Comfortable working in a fast-paced, dead-line driven dynamic environment
• Innovative and creative thinker
• Must be detail oriented

Resource 1 is in need of a Sr. Data Architect/ Modeler for a long-term contract in downtown Chicago. Our client requires 2 days/week onsite (Tues/Wed or Tues/Thurs), so candidates must be local.

The consultant will join a Dynamics 365 implementation project to lead data migration, Dataverse/ CDM data modeling, and analytics enablement for various business units. They will design and validate data models and guide migration/testing efforts.

Responsibilities:

• Lead data migration strategy and roadmap for the Dynamics 365 implementation.
• Design, document, and validate Dataverse/ CDM data models and entity relationships for D365 use cases.
• Own CDM‑centric data design: map legacy/ source systems to Dynamics 365 CE & F&O CDM entities, identify gaps, propose extensions, and document modeling decisions.
• Establish best practices for CDM usage, lineage, versioning, and review gates.
• Assess downstream impacts of model and migration changes and define additional data capture or retention needs.
• Guide and review ETL/pipeline implementation with data engineering team using Synapse/ ADF/ Fabric and ADLS Gen2.
• Participate in the gathering of reporting and operational requirements and translating them into data model and migration specifications.

Required Skills & Experience:

• Experience with Common Data Model (CDM) and Dynamics 365 (CE and/or F&O) data.
• Prior experience working on a Dynamics 365 migration project.
• Experience with Dataverse/ CDM data modeling.
• Familiarity with Microsoft data stack including Synapse, ADF, Fabric and ADLS Gen2.
• Ability to develop and execute test plans, validate migrations, and identify downstream reporting impacts.

Date Posted:

Country:

Location:

Position Role Type:

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Security Clearance Type:

Security Clearance Status:

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.

Raytheon is hiring a Data Modeler Database Engineer to support our team in Richardson TX. You will have the opportunity to directly impact the world around you and contribute to classified programs and technologies you are passionate about. In this position you would be familiar with designing, creating, updating, and managing databases and high performance data models.

What You Will Do

• Identify and understand customer needs and apply sound, demonstrable understanding of database principles, theories, and concepts related to software engineering to translate those needs to viable design solutions.
• Translate needs and design requirements into physical data models.
• Analyze business requirements, RFCs, and technical specifications to identify data modeling impacts and design needs.
• Collaborate with systems engineers, product owners, architects, and stakeholders to gather and validate data requirements.
• Design new database structures (tables, indexes, constraints, views) and modify existing models to accommodate program needs.
• Author and implement database data model changes (DDL) using database change control automation.
• Work with developers on best practices for interacting with databases, writing and maintaining SQL statements.
• Utilize data modeling tools such as Oracle SQL Developer Data Modeler, Oracle Designer, and others.
• Demonstrate critical thinking skills with the ability to communicate concepts and ideas clearly.
• Use proven problem solving and analytical skills.
• Work in an Agile/Scrum environment.
• Able to obtain and maintain SCI program access and complete polygraphs.
• Obtain Security+ certification within 60 days of start.

Qualifications You Must Have

• Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of five (5) years of Database Engineering experience.
• Three (3) years of experience performing relational data modeling with Oracle or PostgreSQL Relational Database Management Systems (RDBMS).
• Three (3) years of experience with Oracle SQL and PL/SQL.
• Experience with bash shell scripting.
• Experience working with Systems and Software Engineers to design, implement, and modify backend databases to interact with applications.
• Experience and Linux command line skills to perform database administration activities, deployment automation.
• Active and transferable Top Secret U.S. government issued security clearance is required prior to start date with the ability to obtain a TS/SCI prior to start date. U.S. Citizenship is required as only U.S. Citizens are eligible for a clearance.

Qualifications We Prefer

• Three (3) years of experience with PostgreSQL SQL and pl/pgsql.
• Experience with python scripting and programming.
• Existing Security+ Certification (or higher).
• Experience using AWS RDS for Oracle and AWS Aurora PostgreSQL database services.
• Experience with NoSQL database products such as MongoDB and DynamoDB.
• Data architecture experience for critical design decisions (such as the suitability of a product/technology for a given use case).
• Experience troubleshooting database performance issues.
• Strong SQL tuning experience in Oracle and PostgreSQL.
• Experience with database security controls and audit & compliance requirements.
• Experience virtualizing or containerizing databases.
• Experience with automating routine tasks.
• Experience using git source control, Jira, and Confluence.

What We Offer

• Whether you’re just starting out on your career journey or are an experienced professional, we offer a total rewards package that goes above and beyond with compensation; healthcare, wellness, retirement, and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance, and child/adult backup care.

• Relocation Eligibility - Relocation assistance is available.

Learn More & Apply Now!

• Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

• This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here:  

• North Texas:

#LI-Onsite

#LI-HS30

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

The pay range for this role is $150,000 - $200,000/yr USD.

WHO WE ARE:

Headquartered in Southern California, Skechers—the Comfort Technology Company®—has spent over 30 years helping men, women, and kids everywhere look and feel good. Comfort innovation is at the core of everything we do, driving the development of stylish, high-quality products at a great value. From our diverse footwear collections to our expanding range of apparel and accessories, Skechers is a complete lifestyle brand.

ABOUT THE ROLE:

Skechers Digital Team is seeking a Digital Data Architect reporting to the Director, Digital Architecture, Consumer Domain. This role is responsible for designing and governing Skechers’ Consumer Data 360 ecosystem, enabling identity resolution, high-quality data foundations, personalization, loyalty intelligence, and machine learning capabilities across digital and retail channels.

The ideal candidate will be a strong technical leader, have hands-on full-stack technical knowledge in enterprise technologies related to Skecher’s consumer domain, and have the ability to work in a fast-paced agile environment. You should have knowledge of consumer programs from an architecture/industry perspective, and you should have strong hands-on experience designing solutions on the Salesforce Core Platform (including configuration, integration, and data model best practices).

You will work cross-functionally with Digital Engineering, Data Engineering, Data Science, Loyalty, and Marketing teams to architect scalable, secure, and high-performance data platforms that support advanced personalization and recommender systems.

WHAT YOU’LL DO:

• Responsible for the full technical life cycle of consumer platform capabilities which includes:
• Capability roadmap and technical architecture in alignment to consumer experience
• Technical planning, design, and execution
• Operations, analytics/reporting, and adoption
• Define and evolve Skechers’ Consumer Data 360 architecture, including identity resolution (deterministic and probabilistic matching) and unified customer profiles.
• Architect scalable data models and pipelines across CDP, CRM, e-commerce, marketing automation, data lake, and warehouse platforms.
• Establish enterprise data quality frameworks including validation, deduplication, anomaly detection, and observability.
• Optimize SQL workloads and large-scale distributed queries through performance tuning, partitioning, indexing, and workload management strategies.
• Design and oversee ML pipelines supporting personalization, churn modeling, and recommender systems.
• Partner with Data Science teams to productionize models using distributed platforms such as Databricks (Spark, Delta Lake, MLflow preferred).
• Ensure secure data governance, access control (RBAC/ABAC), and compliance with GDPR, CCPA, and related privacy regulations.
• Provide architectural oversight ensuring performance, scalability, resilience, and maintainability.
• Collaborate with stakeholders to translate business objectives (LTV growth, personalization lift, engagement) into scalable data solutions.

REQUIREMENTS:

• Computer Science, Data Engineering, or related degree or equivalent experience.
• 12+ years experience architecting enterprise data platforms in cloud environments.
• 9+ years experience with data engineering with a focus on consumer data.
• 6+ years experience working with Salesforce platforms, including data models and enterprise integrations.
• Strong experience with Data 360 and identity resolution architectures.
• Proven expertise in SQL performance tuning and large-scale data modeling.
• Hands-on experience implementing ML pipelines and recommender systems in production environments.
• Experience with cloud technologies (AWS, GCP, or Azure).
• Experience with integration patterns (API, ETL, event streaming).
• Experience providing technical leadership and guidance across multiple projects and development teams.
• Experience translating business requirements into detailed technical specifications and working with development teams through implementation, including issue resolution and stakeholder communication.
• Strong project management skills including scope assessment, estimation, and clear technical communication with both business users and technical teams.
• Must hold at least one of the following Salesforce Certifications (Platform App Builder, Platform Developer 1, JavaScript Developer 1).
• Experience with Databricks or similar distributed data/ML platforms preferred.

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

If interested in position, please fill out this form: description

Join the Future of Healthcare at MedWatchers

MedWatchers is a technology-forward leader delivering integrated care solutions that improve lives across Medicare, Medicaid, and Commercial markets. With a growing portfolio of 30+ clinical service lines and a flexible delivery model—ranging from full SaaS, hybrid solutions, to fully delegated services—we help payers close gaps, enhance outcomes, exceed quality benchmarks and demonstrate clear return on investment (ROI) through data-backed interventions.

Our comprehensive suite includes:

• CMAPP, our cloud-based care management platform
• Advanced analytics and risk-based targeting to derive ROI
• Omnichannel member and provider engagement
• Clinical services delivered by a team of 180+ licensed pharmacists, fluent in 30+ languages and dialects

We’re trusted by over 60 national and regional health plans—including the six largest payers in the U.S.

As we scale, we’re expanding our San Diego-based Technology Team across multiple positions. We’re hiring engineers and scientists to build impactful products and develop the next generation of intelligent healthcare technology in San Diego.

Software Engineer (various levels)

Roles: Software Engineer, Product Technologist, Full Stack Developer (Title and level will be commensurate with your education and experience)

Location: Onsite – San Diego, CA (No remote)

Salary Range: $160,000– $200,000 (based on experience and skills) + Annual Bonus

PHD required in Computer Science, Data Science, Engineering, or a related field

Overview

Join our San Diego-based engineering team to design and build robust, scalable technology platforms that support clinical workflows, member engagement, and real-time healthcare analytics. You’ll work across the stack, collaborating with product, data, and clinical teams to deliver impactful features in a fast-moving, mission-driven environment.

Key Responsibilities

• Develop and maintain full-stack web applications with clean, testable code
• Design and implement RESTful APIs and backend services
• Build responsive, component-based user interfaces using modern JavaScript frameworks
• Work with cloud-native tools and infrastructure for scalable deployment
• Participate in code reviews, technical design discussions, and agile ceremonies
• Collaborate cross-functionally with product managers, clinicians, and data teams
• Ensure performance, reliability, and security of deployed applications
• Contribute to platform architecture decisions as the product scales

Representative Technologies (familiarity with similar tools is welcome)

• Frontend: JavaScript (React, Angular, Vue)
• Backend: Node.js, Express, Python (Flask, FastAPI), Go, Rust
• Databases: PostgreSQL, MongoDB, Redis
• Cloud Platforms: AWS, Azure, GCP
• DevOps & Tooling: Git, CI/CD pipelines, Docker, Kubernetes

Ideal Experience

• Strong programming fundamentals and debugging skills
• Proven experience in full-stack application development
• Familiarity with modern deployment workflows and cloud services
• Agile team collaboration and iterative product delivery
• Bonus: Exposure to healthcare data, APIs, or workflows

We offer a comprehensive benefits package, including:

• 401(k) with company matching
• Health, dental, and vision insurance
• Paid time off (PTO)
• Tuition reimbursement
• Employee discounts

Job Title: Construction Manager – Data Centers (AI & GPU Infrastructure)

Location: Austin, Texas

The company

A fast-growing, elite infrastructure platform working with the world’s leading AI labs, governments, and enterprises is hiring a Data Center Construction Manager to lead execution of next-generation GPU data center builds across multiple geographies.

This is a hands-on, owner-side role for construction leaders who thrive in the field, move fast, and deliver complex projects under extreme power and cooling demands. If you’ve built hyperscale, semiconductor, or mission-critical facilities and want to operate at the bleeding edge of AI infrastructure, this role delivers.

The position

• Lead day-to-day site execution for greenfield and brownfield data center builds
• Build and drive integrated schedules (Primavera P6 / MS Project) across design, procurement, construction, and commissioning
• Enforce a zero-incident safety culture across all contractors and trades
• Coordinate CSA and MEP scopes, resolving field conflicts in real time
• Track daily progress, cost, earned value, and resources; issue recovery plans as needed
• Oversee QA/QC, material submittals, RFIs, and change orders
• Interface closely with Design, Procurement, Commissioning, and Operations teams
• Develop scopes of work and technical exhibits for critical-path trades
• Manage construction contracts from award through close-out, ensuring budget, schedule, and spec compliance

Could this role be for you?

• Bachelor’s degree in Engineering (Construction Management preferred)
• 7+ years delivering hyperscale, semiconductor, or mission-critical construction projects
• Deep understanding of CSA & MEP execution, procurement workflows, and cost controls
• Proven success on fast-track, multi-site or multi-region builds
• OSHA 30 (or equivalent); strong familiarity with NFPA 70E, local codes, and permitting
• Strong field leadership and subcontractor management skills
• Ability to read BIM/Revit models and interpret IFC packages on the fly
• Willingness to travel 50%+ to active project sites

Why apply?

• Build GPU-dense, AI-driven data centers at global scale
• True site ownership — execution authority, not oversight
• Fast-track projects with elite design, procurement, and ops teams
• Work directly on infrastructure enabling frontier AI development
• Highly competitive base salary: $130,000 – $230,000 (experience, location dependent)
• Equity participation as part of total compensation
• Health, dental, and vision insurance
• Retirement or pension plan (region-aligned)
• Generous PTO policy