HTC Global Services Inc
Dearborn, Michigan
Job Title Platform Engineering Engineer Overview We are seeking a Platform Engineering Engineer to develop and maintain reusable software components that support engineering teams and improve developer productivity. This role focuses on designing, implementing, integrating, and maintaining platform infrastructure and software solutions that enable scalable, secure, and automated application development. Key Responsibilities Design platform infrastructure and tools in collaboration with enterprise architects and software engineering teams. Implement and manage infrastructure supporting platform tools, including upgrades, security patches, and performance improvements. Evaluate cloud platforms, containerization technologies, and infrastructure configurations to create reusable solutions for application teams. Develop and maintain Infrastructure as Code (IaC) and utilize CI/CD processes to automate infrastructure provisioning, configuration, and management. Implement monitoring, performance optimization, and scalability best practices using QoS and SLA metrics. Incorporate security, identity management, access control, encryption, logging, backup, and disaster recovery into platform infrastructure. Integrate enterprise-managed software configurations into deployment pipelines to ensure adherence to approved security, networking, monitoring, and performance standards. Gather feedback from developers and service providers to continuously improve the platform. Required Qualifications Bachelor's degree. 6+ years of IT experience. 4+ years of software development experience. Practical experience in two programming languages or advanced proficiency in one programming language. Experience with PostgreSQL. Experience with cloud infrastructure. Experience using Jenkins. Experience with Java. Preferred Qualifications Experience with Google Cloud Platform (GCP). Experience with GCP Cloud Run. Experience with BigQuery. Experience with Python. Experience with GCP services including BigQuery, Cloud Run, IAM, Dataflow, Pub/Sub, and Cloud Build. Ability to work onsite four days per week. HTC internal submittal checklist for Ford Motor Company: RTR is mandatory. The last four digits of the candidate's social security number are required; month and day of birth (mm/dd) are required. Create a social security number to be used for B2B submittals by using the following format. Note: Create this number only once; use this ss number for all submittals for this candidate moving forward. Please use the format of 5MMDDDATE to submit your bid. The 5 will be the generic number always submitted when a candidate does not have an SSN. MM = 2 Digit month of birth date DD = 2 Digit day of birth date Date = the month and day the candidate is submitted to the order Example 5 01 = Month of January 01 = January 1st - bid submitted April 7 Please ensure the candidate summary doesn't exceed 1500 characters including the space. If the candidate has previous Ford experience, ask who their Ford Manager or Supervisor was. In the "Summary" part of their resume, state: "Ford Motor Company experience; reported to _" Resume Formatting: Do NOT mention "HTC" in the resume's header/footer/title. In the header, underneath the candidate's name and title, put work preference. For example, "Local Candidate", "Non-local, willing to relocate", or "100% Remote". Ensure there are valid explanations for any gaps in employment, even as small as a month, e.g., "Seeking Employment", "Attending College", etc. Refer to the sample resume attached for any doubts. If Hacker Rank information is required for the submittal, the candidate's picture must be at the very top of the resume (above their name/title). Full Hacker Rank results must be attached below the resume. See attached sample resume. VMS Fee: When calculating gross profit (GP), include a discount rebate fee of 2.25%. LinkedIn: LI link in the candidate's profile is mandatory for each submission. (attached DRF, Ford Sample resume for more details) Verified, accepting resumes
Job Title Platform Engineering Engineer Overview We are seeking a Platform Engineering Engineer to develop and maintain reusable software components that support engineering teams and improve developer productivity. This role focuses on designing, implementing, integrating, and maintaining platform infrastructure and software solutions that enable scalable, secure, and automated application development. Key Responsibilities Design platform infrastructure and tools in collaboration with enterprise architects and software engineering teams. Implement and manage infrastructure supporting platform tools, including upgrades, security patches, and performance improvements. Evaluate cloud platforms, containerization technologies, and infrastructure configurations to create reusable solutions for application teams. Develop and maintain Infrastructure as Code (IaC) and utilize CI/CD processes to automate infrastructure provisioning, configuration, and management. Implement monitoring, performance optimization, and scalability best practices using QoS and SLA metrics. Incorporate security, identity management, access control, encryption, logging, backup, and disaster recovery into platform infrastructure. Integrate enterprise-managed software configurations into deployment pipelines to ensure adherence to approved security, networking, monitoring, and performance standards. Gather feedback from developers and service providers to continuously improve the platform. Required Qualifications Bachelor's degree. 6+ years of IT experience. 4+ years of software development experience. Practical experience in two programming languages or advanced proficiency in one programming language. Experience with PostgreSQL. Experience with cloud infrastructure. Experience using Jenkins. Experience with Java. Preferred Qualifications Experience with Google Cloud Platform (GCP). Experience with GCP Cloud Run. Experience with BigQuery. Experience with Python. Experience with GCP services including BigQuery, Cloud Run, IAM, Dataflow, Pub/Sub, and Cloud Build. Ability to work onsite four days per week. HTC internal submittal checklist for Ford Motor Company: RTR is mandatory. The last four digits of the candidate's social security number are required; month and day of birth (mm/dd) are required. Create a social security number to be used for B2B submittals by using the following format. Note: Create this number only once; use this ss number for all submittals for this candidate moving forward. Please use the format of 5MMDDDATE to submit your bid. The 5 will be the generic number always submitted when a candidate does not have an SSN. MM = 2 Digit month of birth date DD = 2 Digit day of birth date Date = the month and day the candidate is submitted to the order Example 5 01 = Month of January 01 = January 1st - bid submitted April 7 Please ensure the candidate summary doesn't exceed 1500 characters including the space. If the candidate has previous Ford experience, ask who their Ford Manager or Supervisor was. In the "Summary" part of their resume, state: "Ford Motor Company experience; reported to _" Resume Formatting: Do NOT mention "HTC" in the resume's header/footer/title. In the header, underneath the candidate's name and title, put work preference. For example, "Local Candidate", "Non-local, willing to relocate", or "100% Remote". Ensure there are valid explanations for any gaps in employment, even as small as a month, e.g., "Seeking Employment", "Attending College", etc. Refer to the sample resume attached for any doubts. If Hacker Rank information is required for the submittal, the candidate's picture must be at the very top of the resume (above their name/title). Full Hacker Rank results must be attached below the resume. See attached sample resume. VMS Fee: When calculating gross profit (GP), include a discount rebate fee of 2.25%. LinkedIn: LI link in the candidate's profile is mandatory for each submission. (attached DRF, Ford Sample resume for more details) Verified, accepting resumes
First Horizon Bank
Memphis, Tennessee
Location: On Site at location listed in posting Weekly Schedule: Monday- Friday, 9am-5pm As a full stack developer, you will play a crucial role in designing, developing, and maintaining seamless integrations with banking systems and third-party platforms. This role requires a blend of technical proficiency, industry knowledge, and collaborative skills to effectively contribute to innovative solutions in the fast-evolving domain of API and Open Banking. Responsibilities: Develop and maintain robust and scalable APIs. Build full-stack applications that integrate seamlessly with banking systems and third-party platforms. Work on both client-side and server-side codebase, ensuring optimal performance and user experience. Collaborate with cross-functional teams, including product managers, designers, and other developers, to design and implement new features. Engage with stakeholders to understand requirements and objectives, providing technical insights and recommendations. Develop solutions for integrating banking systems with other third-party services, ensuring data integrity and security. Design and implement event-driven solutions to handle real-time data processing and integration across banking systems. Build and deploy applications using containerization technologies such as Docker to ensure portability and consistency across different environments. Implement security best practices to protect sensitive banking data. Write unit and integration tests to ensure software reliability and performance. Conduct code reviews and debugging in the development lifecycle to maintain high quality code. Provide ongoing support and maintenance for deployed applications and APIs. Implement updates and improvements based on user feedback and changes in technology or regulations. Requirements and Skills: 2+ years of experience in full stack development, ideally with past projects or roles in the banking or financial sector. 1+ years of experience in React Framework, Node.js Express Framework, HTML, CSS, Java with SpringBoot. 1+ Experience with Azure cloud services and microservices architecture. 2+ of database systems such as SQL and NoSQL databases. Experience with RESTful API design and development. Familiarity with version control systems like Git. Strong knowledge of Docker for application containerization. Familiarity with event streaming platforms like Apache Kafka, RabbitMQ, or Azure Event Hub for building and maintaining event pipelines. Familiarity with banking systems and protocols, especially related to Open Banking standards and frameworks like OAUTH. Ability to analyze complex integration problems and propose effective solutions. Strong communication skills to work effectively in a team environment. About Us First Horizon Corporation is a leading regional financial services company, dedicated to helping our clients, communities and associates unlock their full potential with capital and counsel. Headquartered in Memphis, TN, the banking subsidiary First Horizon Bank operates in 12 states across the southern U.S. The Company and its subsidiaries offer commercial, private banking, consumer, small business, wealth and trust management, retail brokerage, capital markets, fixed income, and mortgage banking services. First Horizon has been recognized as one of the nation's best employers by Fortune and Forbes magazines and a Top 10 Most Reputable U.S. Bank. More information is available at . Benefit Highlights • Medical with wellness incentives, dental, and vision • HSA with company match • Maternity and parental leave • Tuition reimbursement • Mentor program • 401(k) with 6% match • More Follow Us Facebook X formerly Twitter LinkedIn Instagram YouTube
Location: On Site at location listed in posting Weekly Schedule: Monday- Friday, 9am-5pm As a full stack developer, you will play a crucial role in designing, developing, and maintaining seamless integrations with banking systems and third-party platforms. This role requires a blend of technical proficiency, industry knowledge, and collaborative skills to effectively contribute to innovative solutions in the fast-evolving domain of API and Open Banking. Responsibilities: Develop and maintain robust and scalable APIs. Build full-stack applications that integrate seamlessly with banking systems and third-party platforms. Work on both client-side and server-side codebase, ensuring optimal performance and user experience. Collaborate with cross-functional teams, including product managers, designers, and other developers, to design and implement new features. Engage with stakeholders to understand requirements and objectives, providing technical insights and recommendations. Develop solutions for integrating banking systems with other third-party services, ensuring data integrity and security. Design and implement event-driven solutions to handle real-time data processing and integration across banking systems. Build and deploy applications using containerization technologies such as Docker to ensure portability and consistency across different environments. Implement security best practices to protect sensitive banking data. Write unit and integration tests to ensure software reliability and performance. Conduct code reviews and debugging in the development lifecycle to maintain high quality code. Provide ongoing support and maintenance for deployed applications and APIs. Implement updates and improvements based on user feedback and changes in technology or regulations. Requirements and Skills: 2+ years of experience in full stack development, ideally with past projects or roles in the banking or financial sector. 1+ years of experience in React Framework, Node.js Express Framework, HTML, CSS, Java with SpringBoot. 1+ Experience with Azure cloud services and microservices architecture. 2+ of database systems such as SQL and NoSQL databases. Experience with RESTful API design and development. Familiarity with version control systems like Git. Strong knowledge of Docker for application containerization. Familiarity with event streaming platforms like Apache Kafka, RabbitMQ, or Azure Event Hub for building and maintaining event pipelines. Familiarity with banking systems and protocols, especially related to Open Banking standards and frameworks like OAUTH. Ability to analyze complex integration problems and propose effective solutions. Strong communication skills to work effectively in a team environment. About Us First Horizon Corporation is a leading regional financial services company, dedicated to helping our clients, communities and associates unlock their full potential with capital and counsel. Headquartered in Memphis, TN, the banking subsidiary First Horizon Bank operates in 12 states across the southern U.S. The Company and its subsidiaries offer commercial, private banking, consumer, small business, wealth and trust management, retail brokerage, capital markets, fixed income, and mortgage banking services. First Horizon has been recognized as one of the nation's best employers by Fortune and Forbes magazines and a Top 10 Most Reputable U.S. Bank. More information is available at . Benefit Highlights • Medical with wellness incentives, dental, and vision • HSA with company match • Maternity and parental leave • Tuition reimbursement • Mentor program • 401(k) with 6% match • More Follow Us Facebook X formerly Twitter LinkedIn Instagram YouTube
Credit Acceptance Corporation
Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! The Senior Data Modeler designs and evolves high-quality data models across our modern data platform. This role combines strong hands-on modeling expertise with growing involvement in AI-forward data practices-including semantic layers, enriched metadata, and structured data descriptions that enable AI systems to work with enterprise data effectively. This position will operate as a key contributor within the Data Engineering team, translating business requirements into well-governed logical and physical models that serve analytics, reporting, and emerging AI use cases. While architectural strategy and enterprise standards are set by the Principal Data Engineer and VP of Data Engineering, it will be a critical partner in executing that vision-bringing strong modeling judgment, cross-system awareness, and a willingness to engage with modern semantic and AI-adjacent concepts. This is not a narrow, single-project role. This position thinks across the data lifecycle-from systems of record through the lakehouse to downstream consumers-and who can grow into increasing ownership of semantic and AI-ready data design over time. Outcome and Activities This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member Data Modeling and Design: Design and maintain logical and physical data models (dimensional, relational) across our Databricks lakehouse environment. Apply Kimball star schema and normalized modeling best practices. Translate business requirements into clear, well-documented data structures that serve analytics, reporting, and AI consumption. Cross-System Data Lifecycle Awareness: Model data with awareness of the full lifecycle-from systems of record through integration layers to lakehouse and downstream consumers. Ensure models account for how data originates, flows, and is consumed across multiple systems, not just within the big data platform. Semantic Layer and AI-Ready Data: Support the development of semantic layer artifacts (curated views, conformed dimensions, governed metrics, Genie-ready configurations) that enable AI agents and self-service analytics to interpret enterprise data correctly. Partner with the Principal Data Engineer to evolve metadata practices toward richer, machine-interpretable descriptions-business definitions, relationships, and constraints. Metadata and Business Glossary: Contribute to critical data element identification, business glossary development, and data dictionary maintenance. Help explore approaches to reduce manual cataloging effort through AI-assisted tooling and programmatic metadata generation. Collaboration and Delivery: Partner with data engineers to implement models in performant ELT pipelines and denormalized views (such as Dealer Datahub patterns). Participate in design reviews, provide modeling guidance during development, and work cross-functionally with business stakeholders and analytics teams. Governance and Standards: Adhere to and help refine enterprise data modeling standards, naming conventions, and design patterns within the SDLC. Support model review processes, change management, and data quality efforts. Identify opportunities to improve modeling approaches or reduce duplication. Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: 8+ years of experience in data modeling, data architecture, or analytics engineering roles Strong hands-on expertise in dimensional modeling (Kimball) and relational modeling (3NF) Experience modeling data across multiple source systems in cloud data platforms (Databricks or similar) Awareness of how data models serve downstream AI and analytics use cases, with willingness to deepen expertise in semantic layer design and AI-ready data structures Proficient SQL skills and experience working closely with data engineers on ELT pipelines Experience with data modeling and design tools (ER/Studio, ERwin, SqlDBM, dbt, or similar) Understanding of data governance concepts including lineage, metadata management, and data quality Strong communication skills and ability to collaborate across technical and business teams Self-directed and comfortable operating with autonomy while working within established architectural direction Experience with or exposure to semantic layers, governed metrics, or analytics modeling frameworks Preferred: Familiarity with metadata management platforms, data catalogs, or data documentation tools (e.g., Collibra, Unity Catalog) Awareness of knowledge graphs, ontologies, or formal data description frameworks (OWL, RDF)-deep expertise not required, but curiosity and willingness to learn is essential Hands-on Databricks experience including Unity Catalog, Delta Lake, and lakehouse architecture patterns Familiarity with Data Vault methodology Experience in financial services, auto lending, or regulated industries Exposure to AI-assisted tooling for metadata, documentation, or data profiling tasks Target Compensation: A competitive base salary range from $114,000 - $167,000. This position is eligible for an annual variable cash bonus, between 7.5 - 15%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice! We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application! P.S. We have great details around our stats, success, history and more. We're proud of our culture and are happy to share why - let's talk! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent. Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person's age, race, color, religion, sex, gender, sexual orientation, gender identity . click apply for full job details
Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! The Senior Data Modeler designs and evolves high-quality data models across our modern data platform. This role combines strong hands-on modeling expertise with growing involvement in AI-forward data practices-including semantic layers, enriched metadata, and structured data descriptions that enable AI systems to work with enterprise data effectively. This position will operate as a key contributor within the Data Engineering team, translating business requirements into well-governed logical and physical models that serve analytics, reporting, and emerging AI use cases. While architectural strategy and enterprise standards are set by the Principal Data Engineer and VP of Data Engineering, it will be a critical partner in executing that vision-bringing strong modeling judgment, cross-system awareness, and a willingness to engage with modern semantic and AI-adjacent concepts. This is not a narrow, single-project role. This position thinks across the data lifecycle-from systems of record through the lakehouse to downstream consumers-and who can grow into increasing ownership of semantic and AI-ready data design over time. Outcome and Activities This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member Data Modeling and Design: Design and maintain logical and physical data models (dimensional, relational) across our Databricks lakehouse environment. Apply Kimball star schema and normalized modeling best practices. Translate business requirements into clear, well-documented data structures that serve analytics, reporting, and AI consumption. Cross-System Data Lifecycle Awareness: Model data with awareness of the full lifecycle-from systems of record through integration layers to lakehouse and downstream consumers. Ensure models account for how data originates, flows, and is consumed across multiple systems, not just within the big data platform. Semantic Layer and AI-Ready Data: Support the development of semantic layer artifacts (curated views, conformed dimensions, governed metrics, Genie-ready configurations) that enable AI agents and self-service analytics to interpret enterprise data correctly. Partner with the Principal Data Engineer to evolve metadata practices toward richer, machine-interpretable descriptions-business definitions, relationships, and constraints. Metadata and Business Glossary: Contribute to critical data element identification, business glossary development, and data dictionary maintenance. Help explore approaches to reduce manual cataloging effort through AI-assisted tooling and programmatic metadata generation. Collaboration and Delivery: Partner with data engineers to implement models in performant ELT pipelines and denormalized views (such as Dealer Datahub patterns). Participate in design reviews, provide modeling guidance during development, and work cross-functionally with business stakeholders and analytics teams. Governance and Standards: Adhere to and help refine enterprise data modeling standards, naming conventions, and design patterns within the SDLC. Support model review processes, change management, and data quality efforts. Identify opportunities to improve modeling approaches or reduce duplication. Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: 8+ years of experience in data modeling, data architecture, or analytics engineering roles Strong hands-on expertise in dimensional modeling (Kimball) and relational modeling (3NF) Experience modeling data across multiple source systems in cloud data platforms (Databricks or similar) Awareness of how data models serve downstream AI and analytics use cases, with willingness to deepen expertise in semantic layer design and AI-ready data structures Proficient SQL skills and experience working closely with data engineers on ELT pipelines Experience with data modeling and design tools (ER/Studio, ERwin, SqlDBM, dbt, or similar) Understanding of data governance concepts including lineage, metadata management, and data quality Strong communication skills and ability to collaborate across technical and business teams Self-directed and comfortable operating with autonomy while working within established architectural direction Experience with or exposure to semantic layers, governed metrics, or analytics modeling frameworks Preferred: Familiarity with metadata management platforms, data catalogs, or data documentation tools (e.g., Collibra, Unity Catalog) Awareness of knowledge graphs, ontologies, or formal data description frameworks (OWL, RDF)-deep expertise not required, but curiosity and willingness to learn is essential Hands-on Databricks experience including Unity Catalog, Delta Lake, and lakehouse architecture patterns Familiarity with Data Vault methodology Experience in financial services, auto lending, or regulated industries Exposure to AI-assisted tooling for metadata, documentation, or data profiling tasks Target Compensation: A competitive base salary range from $114,000 - $167,000. This position is eligible for an annual variable cash bonus, between 7.5 - 15%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice! We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application! P.S. We have great details around our stats, success, history and more. We're proud of our culture and are happy to share why - let's talk! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent. Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person's age, race, color, religion, sex, gender, sexual orientation, gender identity . click apply for full job details
CHRISTUS Health
Irving, Texas
Description Summary: The IT Architect II is responsible for design of IT systems including system infrastructure, system security, application architecture, software and data life cycle management. Provides enterprise architectural framework for the design, development, and deployment of information/business systems. Proactively drives the prioritization of key technology enablers for achieving enterprise level system objectives while ensuring scalability, reliability, and availability of implemented systems. Provides leadership and expertise to evaluate planned platform growth, increasingly demanding enterprise service level requirements in order to identify, design, and implement technology solutions that exceed expectations. This role requires excellent collaboration and communication skills to translate complex requirements into functional architecture. Responsibilities: • Assists in the development of the information system vision and strategy of the organization; assists in the development, implementation, communication, and promotion of strategic and tactical plans • Researches and participates in beta testing of new systems and technologies in order to better evaluate their suitability to the CHRISTUS environment • Evaluates proposed system acquisitions and provides critical input to the decision-making process relative to compatibility, cost, resource requirements, operations, and maintenance; develops plans and recommendations to improve the performance and efficiency of assigned systems; addresses all aspects of assigned systems, including hardware, software, outside services, etc.; considers cost-effectiveness, budget, and other resource issues in addition to technical issues; develops and implements standards and procedures for multiple areas of technology • Participates in development of standards, design and implementation of proactive processes to collect and report data and statistics on assigned systems; performs research and testing to verify impact and advisability of system installations; assists in development vendor support relationships • Maintains in-depth knowledge and current certification in various areas of information technology • Responsible for infrastructure design, performance modeling and capacity planning. • Independently provides guidance and leadership on architecture design initiatives. • Demonstrates ability to lead team through complex system design and implementation initiatives. • Ensures architectures are flexible and support the business needs by maintaining an understanding of business strategies and infrastructure capabilities. • Works with various technical resources across the team to facilitate the development of technical standards. • Possesses communication skills and ability to develop and present solutions to all levels of management, including executive levels. • Participates in requirements gathering, discovery, and interfacing with technical and business teams - establishing credibility in terms of experience, presentation and leadership of solutions development. • Evaluates proposed new systems, system changes and additions, provides oversight into the decision process. • Quickly and decisively acts in fast changing, unpredictable situations, shows tremendous amount of initiative in tough situations, is exceptional at spotting and seizing opportunities, proactively plans projects and tasks within application. • Applies advanced level understanding of assigned clinical/business operations, processes, and workflows. Discusses, and identifies dependencies with project team members and stakeholders. Maintains collaborative customer relationships; Ensures the needs of the customer are fully represented in all updates. • Reviews and provides feedback on documentation written by others. Articulates issues and complex concepts in appropriate manner based on the audience. • Possesses the skill to develop strong and positive relationships with management at all levels. • Demonstrates an advanced level of business strategies understanding, applies expertise to help meet customer goals and outcomes. Tackles new problems using experimentation, including successes and failure experiences. Creative problem solving beyond standard recommendations and practice. Requirements: Bachelor's degree in Computer Science, Architecture, Information Systems, Electrical Engineering or related field preferred, or four years of relevant experience required. Extensive technical knowledge of Healthcare Hospital systems, databases, networks, operating systems and Information Management "Best Practices", including: local and wide area networking, network protocols and routing; network, server, and host operating systems; Interoperability, data storage and retrieval systems; system backup and recovery; IP networking, internet and intranet technologies; email, groupware, office automation and collaboration technologies; voice and/or data communications; voice and/or data networking; video conferencing and telemedicine; server hardware, software, and administration. Project Management Technical and Analytical Problem solving Leadership Multi-tasking ability Time Management Vision Five years of increasingly responsible Enterprise architecture experience in Healthcare Hospital systems environments with a wide variety of Information Services applications and technologies is required. Also requires specialized technical and procedural knowledge of system hardware/software, system administration, operations, problem identification/resolution, system documentation, and project management. Experience in of SDLC, Agile and Waterfall methodologies Business process analysis and design, and service delivery, particularly with respect to the use of information, EMR, ERP and CRM systems Security model understanding and maintenance Solid understanding of Business Intelligence/Data Warehouse environment with involvement in design and development of database solution in both traditional as well as columnar databases. Experience in data integration with ETL techniques and frameworks Experience in Big Data querying tools, such as Hive, Impala and Spark SQL Work Schedule: MULTIPLE SHIFTS AVAILABLE Work Type: Full Time
Description Summary: The IT Architect II is responsible for design of IT systems including system infrastructure, system security, application architecture, software and data life cycle management. Provides enterprise architectural framework for the design, development, and deployment of information/business systems. Proactively drives the prioritization of key technology enablers for achieving enterprise level system objectives while ensuring scalability, reliability, and availability of implemented systems. Provides leadership and expertise to evaluate planned platform growth, increasingly demanding enterprise service level requirements in order to identify, design, and implement technology solutions that exceed expectations. This role requires excellent collaboration and communication skills to translate complex requirements into functional architecture. Responsibilities: • Assists in the development of the information system vision and strategy of the organization; assists in the development, implementation, communication, and promotion of strategic and tactical plans • Researches and participates in beta testing of new systems and technologies in order to better evaluate their suitability to the CHRISTUS environment • Evaluates proposed system acquisitions and provides critical input to the decision-making process relative to compatibility, cost, resource requirements, operations, and maintenance; develops plans and recommendations to improve the performance and efficiency of assigned systems; addresses all aspects of assigned systems, including hardware, software, outside services, etc.; considers cost-effectiveness, budget, and other resource issues in addition to technical issues; develops and implements standards and procedures for multiple areas of technology • Participates in development of standards, design and implementation of proactive processes to collect and report data and statistics on assigned systems; performs research and testing to verify impact and advisability of system installations; assists in development vendor support relationships • Maintains in-depth knowledge and current certification in various areas of information technology • Responsible for infrastructure design, performance modeling and capacity planning. • Independently provides guidance and leadership on architecture design initiatives. • Demonstrates ability to lead team through complex system design and implementation initiatives. • Ensures architectures are flexible and support the business needs by maintaining an understanding of business strategies and infrastructure capabilities. • Works with various technical resources across the team to facilitate the development of technical standards. • Possesses communication skills and ability to develop and present solutions to all levels of management, including executive levels. • Participates in requirements gathering, discovery, and interfacing with technical and business teams - establishing credibility in terms of experience, presentation and leadership of solutions development. • Evaluates proposed new systems, system changes and additions, provides oversight into the decision process. • Quickly and decisively acts in fast changing, unpredictable situations, shows tremendous amount of initiative in tough situations, is exceptional at spotting and seizing opportunities, proactively plans projects and tasks within application. • Applies advanced level understanding of assigned clinical/business operations, processes, and workflows. Discusses, and identifies dependencies with project team members and stakeholders. Maintains collaborative customer relationships; Ensures the needs of the customer are fully represented in all updates. • Reviews and provides feedback on documentation written by others. Articulates issues and complex concepts in appropriate manner based on the audience. • Possesses the skill to develop strong and positive relationships with management at all levels. • Demonstrates an advanced level of business strategies understanding, applies expertise to help meet customer goals and outcomes. Tackles new problems using experimentation, including successes and failure experiences. Creative problem solving beyond standard recommendations and practice. Requirements: Bachelor's degree in Computer Science, Architecture, Information Systems, Electrical Engineering or related field preferred, or four years of relevant experience required. Extensive technical knowledge of Healthcare Hospital systems, databases, networks, operating systems and Information Management "Best Practices", including: local and wide area networking, network protocols and routing; network, server, and host operating systems; Interoperability, data storage and retrieval systems; system backup and recovery; IP networking, internet and intranet technologies; email, groupware, office automation and collaboration technologies; voice and/or data communications; voice and/or data networking; video conferencing and telemedicine; server hardware, software, and administration. Project Management Technical and Analytical Problem solving Leadership Multi-tasking ability Time Management Vision Five years of increasingly responsible Enterprise architecture experience in Healthcare Hospital systems environments with a wide variety of Information Services applications and technologies is required. Also requires specialized technical and procedural knowledge of system hardware/software, system administration, operations, problem identification/resolution, system documentation, and project management. Experience in of SDLC, Agile and Waterfall methodologies Business process analysis and design, and service delivery, particularly with respect to the use of information, EMR, ERP and CRM systems Security model understanding and maintenance Solid understanding of Business Intelligence/Data Warehouse environment with involvement in design and development of database solution in both traditional as well as columnar databases. Experience in data integration with ETL techniques and frameworks Experience in Big Data querying tools, such as Hive, Impala and Spark SQL Work Schedule: MULTIPLE SHIFTS AVAILABLE Work Type: Full Time