Accelint

60 Accelint Data Jobs Hiring Near You

Teamcenter Data Architect

Saint Paul, MN · On-site +1

$113.48K - $154.77K/yr

Accelint is a mission-driven technology company focused on strengthening national security and ... Teamcenter Data Architect * Full Time * Remote or Hybrid The Teamcenter Data Architect plays a key ...

Teamcenter Data Architect

Saint Paul, MN · On-site +1

$113.48K - $154.77K/yr

Accelint is a mission-driven technology company focused on strengthening national security and ... Teamcenter Data Architect * Full Time * Remote or Hybrid The Teamcenter Data Architect plays a key ...

Accelint is a mission-driven technology company focused on strengthening national security and ... The Windchill Data Migration Developer is responsible for developing, implementing, testing, and ...

Accelint is a mission-driven technology company focused on strengthening national security and ... The Windchill Data Migration Developer is responsible for developing, implementing, testing, and ...

Lead Data Analyst (SIE)

$111K - $144K/yr

Accelint is a mission-driven technology company focused on strengthening national security and ... The Lead Data Analyst serves as a recognized subject matter expert and advanced individual ...

Teamcenter Application Developer

Saint Paul, MN · On-site +1

$125.51K - $148.77K/yr

Accelint is a mission-driven technology company focused on strengthening national security and ... BMIDE data model extensions * ITK custom handlers and exits * SOA-based services * Workflow ...

Test Engineer

Saint Paul, MN · On-site +1

$90.69K - $107.22K/yr

Accelint is a mission-driven technology company focused on strengthening national security and ... Design, develop, and execute test cases to validate system functionality, data integrity, and end ...

Accelint is a mission-driven technology company focused on strengthening national security and ... Conduct data analysis, interpret findings, and summarize results to support operational and ...

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Accelint Jobs Information

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are the most popular job types at Accelint?
    What are the most popular categories at Accelint?
    Infographic showing various Data job openings at Accelint in the United States as of May 2026, with employment types broken down into 98% Full Time, and 2% Temporary. Highlights an 50% Physical, 2% Hybrid, and 48% Remote job distribution.

    Teamcenter Data Architect

    Accelint

    Saint Paul, MN • On-site, Remote

    $113.48K - $154.77K/yr

    Full-time

    Medical, Dental, Vision, Life, Retirement, PTO

    Posted 25 days ago


    Job description

    Note: This position is contingent upon contract award.
    Accelint is a mission-driven technology company focused on strengthening national security and supporting critical industries. We build the technologies that help operators and organizations see what's happening, make faster and better decisions, take action with confidence, and stay ready for what comes next. Our work includes advanced sensors, autonomous systems, mission command and control software, AI-enabled training and simulation, and tools that improve logistics, maintenance, and overall readiness.
    For nearly 30 years we have supported military and civilian agencies across the Department of Defense, U.S. allies and partners, and essential industries. When you join Accelint, your work directly contributes to protecting national security and strengthening the systems our society depends on.
    Accelint brings together the talents of Hypergiant, Forward Slope, Systems Innovation Engineering, SoarTech, and Highbury Defense Group under one mission, with each entity contributing deep expertise in its domain. This role is part of our Systems Innovation Engineering (SIE) division, which specializes in readiness and logistics, autonomous platforms, and sensor technologies. SIE develops resilient, integrated systems that enhance situational awareness, sustain mission readiness, and deliver reliable performance across air, ground, and maritime environments.
    Job Description
    • Teamcenter Data Architect
    • Full Time
    • Remote or Hybrid

    The Teamcenter Data Architect plays a key role in designing and configuring a compliant Teamcenter Business Modeler IDE (BMIDE) data model. This role is primarily hands-on, responsible for building, extending, and maintaining the PLM data model while ensuring alignment with enterprise design standards and Navy mission requirements. The position contributes directly to establishing a unified, cost-effective, and mission-ready PLM environment that reduces delivery timelines, improves data consistency, and enables a single source of truth across the Naval Enterprise. The role balances practical implementation with targeted design responsibilities to ensure the data model is scalable, maintainable, and aligned with long-term Navy Enterprise Product Lifecycle Management (NPLM) objectives. The ideal candidate has 3-5 years of experience working in a similar capacity on any large enterprise system implementation/integration project specific to engineering or manufacturing.
    Duties & Responsibilities
    • Design, configure, and maintain Teamcenter data models using BMIDE, including object types, attributes, relationships, and business rules.
    • Develop, deploy, and support BMIDE templates and extensions across development and production environments.
    • Translate Navy engineering, logistics, and lifecycle management requirements into scalable, maintainable PLM data structures.
    • Apply and enforce data modeling standards, naming conventions, and BMIDE best practices to ensure consistency, reusability, and compliance across the NPLM solution.
    • Develop and maintain comprehensive data documentation, including data dictionaries, schema diagrams, and metadata definitions, to support transparency, governance, and knowledge transfer.
    • Support the evolution of the Teamcenter data model architecture, ensuring alignment with enterprise objectives and interoperability requirements.
    • Conduct impact analysis and implement controlled updates to the data model to support system integrations and evolving mission needs.
    • Collaborate with solution architects, developers, and functional stakeholders to align data model design with system capabilities and business requirements.
    • Partner with data governance and architecture teams to promote a single source of truth, reduce data duplication, and align with enterprise data standards.
    • Support testing, validation, and troubleshooting of BMIDE configurations, including resolving schema conflicts, deployment issues, and data inconsistencies.
    • Performs other duties as assigned.

    Required Qualifications
    • Bachelor's degree in Computer Science, Information Systems, Software Engineering, or related technical discipline
    • Minimum 3 years of experience supporting enterprise system implementations (e.g., PLM, ERP, MRP, DevSecOps, or CRM)
    • Experience with data modeling, data migration, data mapping, and legacy system consolidation
    • Familiarity with configuration management, version control, and deployment processes
    • Ability to interpret technical and functional requirements and translate them into scalable data model solutions
    • Experience creating and maintaining structured data documentation, such as data dictionaries, schema definitions, and related artifacts
    • Proficiency with Microsoft Office Suite and documentation/collaboration tools (e.g., Confluence, SharePoint)
    • Strong analytical, problem-solving, and communication skills, with the ability to convey complex concepts to diverse stakeholders.
    • Currently holds an active U.S. national security clearance or be able to receive and maintain one.

    Preferred Qualifications
    • Hands-on experience with Teamcenter BMIDE development and configuration, including creation and management of business objects, attributes, relationships, LOVs, compound properties, and relation types
    • Ability to configure and extend Teamcenter behavior using BMIDE features such as conditions, rules, runtime properties, and other extensions
    • Strong understanding of PLM data modeling concepts and object-oriented data structures, with the ability to design scalable and maintainable models
    • Experience working within enterprise system environments, including system integrations and data exchange mechanisms (e.g., SOA services, XML, JSON)
    • Familiarity with Teamcenter ITK and/or server-side customization concepts to effectively collaborate with developers and understand downstream impacts of data model changes
    • Experience supporting or configuring Active Workspace and understanding how BMIDE configurations are represented in the user interface
    • Proficiency in troubleshooting and resolving data model issues, including schema conflicts, deployment errors, and environment inconsistencies
    • Understanding of underlying database concepts (e.g., tables, indexing, normalization) and their impact on Teamcenter data persistence and performance optimization
    • Experience defining and applying data standards, naming conventions, and metadata management practices within large-scale systems
    • Familiarity with data governance concepts, including metadata management, data quality, and alignment with enterprise data architecture
    • CompTIA Security+ Certification

    Physical Requirements
    • Prolonged periods sitting at a desk and working on a computer.
    • Must be able to lift up to 15 pounds at times.
    • This position may require the ability to travel up to 5%.

    Work Environment
    Employees have the flexibility to telework to fulfill their work responsibilities effectively. Additionally, travel may be required to customer and subcontractor sites as well as other office locations.
    Clearance Requirements
    Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment.
    Pay Scales & Benefits
    The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors.
    Benefits include...
    Paid Time Off
    Paid Company Holidays
    Medical, Dental & Vision Insurance
    Optional HSA and FSA
    Base and Voluntary Life Insurance
    Short Term & Long-Term Disability Insurance
    401k Matching
    Employee Assistance Program
    The pay range for this role is:
    113,483 - 154,769 USD per year (Remote (United States))