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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! Put AI to work where it changes lives: We are looking for a Staff/Senior Staff Software Engineer for our Enterprise AI Enablement team. You will architect, build and ship the AI engineering systems that use state-of-the-art AI capabilities to power our entire ecosystem - solving problems for dealers, consumers and team members. You will own these systems end to end, from the first conversation with the customer through production deployment, telemetry, and ongoing improvement. Build for leverage: You will design tools, agents, and platform capabilities to be built once and adopted many times across the enterprise. Your goal is not one-off automation, but reusable foundations that enable us to solve new problems faster, with greater consistency and less duplicated effort. Outcomes 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. Sit alongside the customers, deeply understand their workflows, locate opportunities, and translate what you learn into impactful products Convert ambiguous problems into production-ready solutions that are adopted across teams Architect, build, and deploy applied AI solutions across high-value enterprise workflows e.g. automation, document intelligence, decision support, fraud intelligence, and intelligent assistants. Agent orchestration: Design and implement agentic orchestration systems that manage agent harnesses, context management, tool binding, reasoning steps, and business logic execution Knowledge retrieval: Apply modern AI retrieval architectures to index, embed, and surface relevant enterprise knowledge as a foundation for agent context Design and develop software and improve existing code to make it more efficient to detect bugs in the code Write unit-tests and validate your software against acceptance criteria Evolve and transform the design and architecture of applications towards leading edge technologies and practices Author, apply and advocate for team coding, documenting and testing standards Conduct impact analysis to proactively identify impact of a change across multiple applications Learn the business process domain to better support the business and align technologies with the business process Experiment and test ideas, validate assumptions against needs, reach conclusions and recommend solutions Lead code reviews and communicate application changes Document code and projects so others can easily understand, maintain and support Debug the problems which arise in production and propose effective solutions within the application and across multiple applications Read, write and review design documents Contribute to team's sprint commitments and actively participate in our Agile practices, including recommendations for process improvement Lead continuous learning activities to improve design and code quality as well as to increase application domain knowledge Participate in the talent selection process Act as a mentor to guide and review the code, designs and documentation of less experienced software engineers Senior Staff: Act as a trusted technical advisor to senior leadership, anticipating evolving customer needs, framing risks and trade-offs, and bringing clarity to where and how AI should be applied Senior Staff: Frame and drive build vs buy vs reuse decisions across the portfolio 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: Bachelor's degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience Staff: Minimum 8 years of software engineering experience or comparable depth of experience Senior Staff: Minimum 10 years of software engineering experience or comparable depth of experience Experience in the lead role overseeing technical direction of a team of software engineering talent across multiple applications Demonstrated experience in engineering AI systems, including LLM-driven and agentic architectures, orchestration frameworks, and tool integration Proven ability to rapidly prototype and take ideas from POC to MVP to production, building and launching net-new products from the ground up Strong understanding and use of one or more object-oriented programming languages and design patterns Practical experience in data modeling, design and messaging Experience working on mission-critical enterprise class applications High ownership and ability to operate in ambiguous environments with a strong bias for action Demonstrated ability to coach and mentor less experienced team members Willingness to participate in an on-call rotation Preferred: Advanced understanding of IDEs, have the ability to navigate through them quickly and leverage advanced features to improve your performance Experience designing and building production AI retrieval systems (e.g. RAG, GraphRAG) Experience building and shipping generative AI systems in production, at scale. Deep expertise in operating AI systems in enterprise environments, including reliability, observability, guardrails, and compliance considerations Experience building context layers for agentic systems, including multi-source blending, context window management, relevance scoring, and context quality evaluation across heterogeneous data sources Experience with AI-oriented data architecture, including vector databases, embedding pipelines, feature stores, data contracts, and knowledge representation patterns such as ontologies and semantic layers Knowledge and Skills: Ability to challenge the status quo and influence stakeholders to create innovative solutions Be collaborative with other team members, seeking a diversity of thought to meet business outcomes Ability to foster strong relationships across the organization Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day Experience and understanding of how to connect the work being done and how it drives business value Ability to communicate complex technical information (both verbal and written) to all levels, including senior leadership Target Compensation Staff: A competitive base salary range from $154,837 to $227,095. This position is eligible for an annual variable bonus of cash and equity, between 10-20%. Bonus amounts are based on individual performance. Target Compensation Senior Staff: A competitive base salary range from $182,601 to $267,814. This position is eligible for an annual variable bonus of cash and equity, between 15-30%. Bonus amounts are based on individual performance. 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 . 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! At Credit Acceptance, cloud computing continues to allow us to modernize and consolidate IT infrastructure, automate workloads, and pursue next-generation innovation. To continue this transformation, we're seeking an experienced Senior Staff Cloud Engineer with expertise in the strategy, design, development, and implementation of large-scale projects in the cloud. The ideal candidate is experienced in cloud-based tech, with a firm grasp of emerging technologies, platforms, and applications, and ability to customize them to help our business become more secure and efficient. Extensive knowledge of cloud maintenance and advanced industry knowledge is key to keeping us on the cutting edge. From day one, you'll have an immediate impact on the day-to-day efficiency of our IT infrastructure and an ongoing impact on our overall growth. The Senior Staff Cloud Engineer owns the cloud and is responsible for architecture, administration, maintenance and availability of all cloud infrastructure and supporting tools. Additionally, Senior Staff Cloud Engineer demonstrates and encourages a culture of automation, orchestration and efficiency. The position is key to driving cloud strategy that is consistent with the department and business goals. Outcomes 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 Provide thought leadership and build cloud solutions that deliver high impact business value and deliver customer delight Lead the design and implementation of cloud solutions that are scalable, reliable, and maintainable Collaborate with a diverse cross functional team including business partners, Product Managers and designers to define product requirements, direction and clarity Drive technical innovation and improvements of the design and architecture of cloud systems towards leading edge technologies and practices at the organization level Define, develop and drive cloud engineering best practices Become an expert in the business process domain to better support the business and align technologies with the business outcomes Develops cross-disciplinary knowledge and an understanding of the market context to drive organization-level solutions Work with the engineering leadership team to develop and execute on the company's technical and business strategy Conduct impact analysis to proactively identify impact of a change across multiple applications/systems Perform technical due diligence and architectural assessments of third-party technologies and solutions. Experiment and test ideas, validate assumptions against needs, reach conclusions and recommend solutions Document standards, best practices, and engineering artifacts so others can easily understand, build and maintain best in class Cloud systems Debug the critical problems which arise in production and execute effective solutions Anticipate customer needs and industry shifts to improve design and overall engineering practices Participate in talent selection and mentoring team members Develop standard architectural practices and lead solutions development across partner engineering groups Define and document best practices and strategies regarding cloud deployments and maintenance Ensure application performance, uptime, and scale, maintaining high standards of quality and thoughtful design Conduct routine environment audits of cloud accounts for compliance with established standards, policies, configuration guidelines and procedures Maintain a comprehensive cloud library of all supporting documentation 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: Minimum of 10 years of experience designing scalable Cloud/Hybrid environments with a strong background in AWS and Azure Experience developing and managing Infrastructure as Code, leveraging tools such as Terraform, Ansible, GitHub, etc. Experience in the lead role overseeing technical direction for multiple Cloud/Platform/Development/DevOps/SRE teams Extensive experience with building and driving adoption of Cloud engineering best practices Experience driving impact on mission-critical enterprise class applications having organization-wide impact Hands-on experience with LLM integration patterns and at least one LLM gateway or proxy product (LiteLLM, Portkey, AWS Bedrock Gateway, or equivalent), including model routing, rate limiting, and token usage attribution in a multi-tenant cloud environment Preferred: Experience in a hybrid Cloud/Data Center environment supporting various multi-tier and microservice applications Experience with SaaS, PaaS, and IaaS deployments in the Cloud Experience developing and maintaining performance metrics and graphs Experience with other clouds like Oracle and Google Experience with backup and data protection technologies Experience with patching tools Experience with virtualization environments Experience with observability and alerting tools like PagerDuty Ability to use Excel or similar tool(s) to provide value from various data sources Experience working with monitoring/trending software such as CloudWatch, ELK, Splunk, etc Expert knowledge of DevOps processes Experience with agentic orchestration frameworks such as LangGraph or LangChain, and familiarity with the Model Context Protocol (MCP) for building or securing agent tool interfaces Experience with policy-as-code frameworks (OPA, Cedar, or equivalent) in production cloud environments, particularly for access control and automated compliance enforcement Knowledge and Skills: Expert knowledge of cloud best practices with experience building complex software engineering products Strong understanding of distributed systems, cloud computing, and microservices architectures Demonstrated ability to coach business partners, cross functional team members, and mentor senior-level members Proven track record driving continuous improvements with cloud technology Proven ability to drive automation and build self service capabilities for Software Engineers Development of automation scripts in various automation, orchestration, scripting, or programming languages Ability to right-size cloud infrastructure with cost, and performance in mind Target Compensation: A competitive base salary range from $161,000 - $237,000. This position is eligible for an annual variable bonus of cash and equity, between 15-30%. 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. 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 . click apply for full job details

Position Title: Senior Product Designer - Payments Location: Considering candidates who live within 50 miles (commutable distance) to our client's Corporate Offices in Wilmington, DE; Charlotte, NE; Irving, TX; Evansville, IN Duration: 6 with possible conversion to FTE Employment Type: Contract role on W-2 through Above and Beyond Talent Acquisition, Inc. (A&B Talent) Work Arrangement: Hybrid Pay Rate: $175.00 to $180.00 Client Info / Who they are: Above and Beyond Talent Acquisition represents the country's largest lending-exclusive financial company, serving millions with safe, affordable installment loans through 1,500 branches in 44 states. For over 100 years, their dedicated team has helped customers improve their financial lives with responsible, transparent solutions for debt, medical bills, home improvements, and auto purchases. Who we are looking for / Requirements: We are actively seeking a UX Professional (Architect/Designer) with Payments experience to join our client's team. 7+ years of experience in Product Design or related fields. 7+ years of experience collaborating with Product, Engineering, Design, Content, and User Research teams. Proven ability to influence product and engineering decisions in cross-functional environments without direct authority. Experience working in Agile, Kanban, and other delivery methodologies. Experience writing user stories and jobs-to-be-done (JTBD), clearly defining business and user needs, as well as acceptance criteria. Demonstrated experience leveraging AI-powered tools (e.g., generative AI, research synthesis tools, and automation platforms) to improve design efficiency and generate actionable insights. Performance Objectives / What you'll be doing: Design intuitive, user-centered experiences for digital products, with a focus on payments. Partner with Product Managers, Engineers, UX Researchers, and Content Designers throughout the product lifecycle. Translate business requirements and user needs into effective design solutions. Create user flows, wireframes, mockups, prototypes, and high-fidelity designs. Conduct and incorporate user research, usability testing, and customer feedback into design decisions. Design and optimize end-to-end payment journeys and transaction workflows. Advocate for UX best practices and ensure consistency with design systems and accessibility standards. Collaborate with engineering teams to ensure design feasibility and successful implementation. Influence product strategy and engineering decisions through data-driven design recommendations. Balance user needs, business objectives, and technical constraints when developing solutions. Iterate on designs based on user insights, analytics, stakeholder feedback, and usability findings. Contribute to and maintain scalable design systems, patterns, and documentation. Perks of working with US / What we offer: Health, dental, and vision benefits offerings 401K plan The salary, other compensation, and benefits information are accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law. "Above and Beyond Talent is an equal opportunity employer and staffing firm."

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! We are seeking a highly motivated and experienced Leader of ML and AI Engineering within the AI team. The ideal candidate will have a strong technical background in decision science, machine learning, and generative AI with a proven track record in solving business problems and implementing large-scale automated solutions in partnership with the respective engineering teams. The leader will partner with business and engineering stakeholders to formulate the vision to achieve the company's strategic goals and co-lead the roadmap to deliver innovative solutions for dealers, consumers, and team members. As a Senior Manager, MLE at Credit Acceptance, you will play a pivotal role in the success of this mission as you will lead the development of AI-powered solutions across different business areas. This involves understanding the business processes, identifying new opportunities to add value using ML/AI algorithms, and harnessing data sources to build state-of-the-art ML/AI solutions. Outcomes 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 Lead the vision and the strategic execution with a strong focus on continuous and long-term value creation across all participants of our flywheel Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans. Drive execution and delivery of ML/AI solutions by managing priorities, deadlines, and deliverables, leveraging your technical expertise. Design and deliver scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices, and nurture the culture of creating high-quality, well-tested systems to address critical product and business needs. Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency. Ensure the security, scalability, and architectural integrity of feature designs through reviews across teams. Deliver hands-on solutions while mentoring other data professionals (including MLEs) within the organization Explore and apply advanced machine learning techniques, including large language models (LLMs), deep learning, and graph neural networks, to solve complex challenges across the organization. Guide a team of MLEs across different areas: Mentoring: Mentor team members on design principles, coding standards, and the adoption of AI productivity tools. Recommendations - Personalize guidance across different surfaces using deep learning methods; personalize layouts with Bayesian contextual multi-armed bandits Growth: Foster long-term growth through data-driven causality and incrementality Gen-AI: Power existing applications with Gen AI models and engineering to improve downstream experience and decisions Lifecycle - Using ML models (such as XGBoost & Causal Meta-Learner-based model, etc), proactively guide business teams across different areas Engineering - With engineering partners, build ML and Gen-AI platform and inference pipelines for different types of models 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: PhD in Computer Science, Stats, Economics, or a relevant technical field with at least 8+ years of relevant experience or MS with at least 10+ years of experience in machine learning and software engineering 8+ years of hands-on experience designing, building and deploying AI (ML, DL, Gen-AI) models, including Reinforcement Learning algorithms, Recommendation systems, Transformers, fine-tuned LLMs, Regressions, etc., with a solid understanding of mathematics, statistics, and engineering needed to build such infrastructure Hands-on expertise in scaling and maintaining production-grade ML services, with a strong focus on ML/LLM Operations (versioning, automation, observability, automated training and monitoring, etc.) and ability to balance ML model complexity with production requirements Passion for identifying new business opportunities and experience of using a test and learn approach to bring scalable and efficient solutions integrating AI algorithms, ML/LLM Ops, and s/w engineering Experience partnering with the engineering, product, business operations, legal and other teams while designing, building, and executing solutions Strong problem-solving skills with bias for action Preferred Experience in automative industry, especially in building ML/AI systems while ensuring local and central regulations Experience in model interpretability and responsible AI practices. Expertise in data science, advanced experimentation and visualization techniques. Experience in designing and implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray) Ability to construct batch and streaming microservices exposed as gRPC and/or GraphQL endpoints Experience with Databricks MLflow for ML lifecycle management and model versioning Hands-on experience with Databricks Model Serving for production ML deployments Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks. Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies Target Compensation: A competitive base salary range from $184,354 - $270,386. This position is eligible for an annual variable bonus of cash and equity, between 15-30%. 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. 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 To create an environment where people do their best work, we focus on the dimensions of Organizational Health. All leaders must: Identify the Right People by recognizing top talent Set Clear Expectations by managing change and directing others Train team members and focus on developing talent Performance Manage by ensuring accountability and driving results Create the Right Environment by establishing trust and managing conflict Maintain the Right Number of team members needed to build an effective team Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice . click apply for full job details

DTS is looking for Data Engineer (Project Management) for a direct client position in Lansing, MI Top Skills & Years of Experience: - Candidates MUST have strong project management reporting & portfolio analytics experience - A minimum of three (3), and preferably four to seven (4-7) years, of professional experience in data engineering, business intelligence, data analytics, or a related information technology discipline. - Experience integrating, transforming, and analyzing data from multiple enterprise systems using SQL and modern data engineering techniques. - Experience developing interactive dashboards, scorecards, and executive reporting using Microsoft Power BI or comparable business intelligence platforms. - Experience working directly with business stakeholders to define reporting requirements, key performance indicators (KPIs), and performance measures. Role description: Senior Data Engineer - Portfolio Reporting and Business Intelligence Position Summary: The successful candidate will serve as a technical and analytical resource within the Enterprise Portfolio Management Office (EPMO), supporting the Investment Management and Project and Portfolio Management Support teams within the Portfolio Division. The resource will be responsible for designing, developing, implementing, and maintaining enterprise reporting and business intelligence solutions that enable effective portfolio governance and performance management. Working collaboratively with executive leadership, portfolio managers, project managers, business stakeholders, and technical teams, the Senior Data Engineer will transform data from multiple enterprise systems into actionable business intelligence supporting investment management, project oversight, risk identification, compliance monitoring, and executive decision-making. While the primary focus of this position will be supporting ITIF-funded initiatives, the resource may also develop reporting and analytical capabilities supporting the broader statewide IT portfolio, Project Portfolio Management (PPM) environment, and Investment Management processes. Position Responsibilities The Senior Data Engineer shall perform duties including, but not limited to, the following: Portfolio Reporting and Business Intelligence Design, develop, implement, and maintain enterprise dashboards, executive scorecards, and business intelligence solutions supporting statewide IT investment management. Develop standardized portfolio reporting supporting ITIF investments, project performance, portfolio governance, and executive oversight. Design meaningful Key Performance Indicators (KPIs), portfolio metrics, and visualizations that communicate organizational performance and portfolio health. Develop automated reporting processes that improve reporting accuracy, consistency, and timeliness. Produce recurring and ad hoc executive reports supporting DTMB leadership, governance bodies, and agency stakeholders. Data Engineering and Integration Design, develop, and maintain data pipelines integrating information from the State's Project Portfolio Management (PPM) platform, business intelligence environment, financial systems, governance repositories, and other enterprise data sources. Develop, optimize, and maintain complex SQL queries, data models, and transformation processes. Design scalable data models that support enterprise reporting and analytical capabilities. Ensure data quality, consistency, integrity, and reliability across reporting environments. Recommend improvements to enterprise data architecture supporting investment management and portfolio reporting. Portfolio Analytics Analyze project, portfolio, financial, schedule, resource, governance, and operational data to identify trends, risks, opportunities, and emerging issues. Assess project health, risk management effectiveness, deliverable quality, and compliance with applicable standards and governance requirements. Perform root cause analysis to identify systemic portfolio issues and recommend corrective actions. Identify risks and opportunities requiring escalation to the EPMO and DTMB executive leadership. Develop predictive and trend-based reporting supporting proactive portfolio management and investment decision-making. Business Analysis and Stakeholder Engagement Facilitate meetings with business stakeholders to identify reporting requirements, performance measures, and analytical needs. Gather, analyze, and document business and technical requirements for enterprise reporting solutions. Translate business requirements into technical reporting and dashboard solutions. Recommend reporting strategies, visualization approaches, and analytical solutions that improve executive decision-making. Document business requirements, technical specifications, data definitions, metadata, and reporting standards. Continuous Improvement Identify opportunities to automate manual reporting activities and improve reporting efficiency. Recommend enhancements to portfolio reporting processes, governance metrics, and business intelligence capabilities. Support development and maintenance of statewide reporting standards supporting project management and investment management. Participate in continuous improvement initiatives supporting the SUITE methodology, Investment Management program, and enterprise reporting capabilities. Provide knowledge transfer, documentation, and technical guidance to State staff supporting long-term sustainability. Minimum Requirements The selected candidate must possess: A minimum of three (3), and preferably four to seven (4-7) years, of professional experience in data engineering, business intelligence, data analytics, or a related information technology discipline. Demonstrated experience designing, developing, implementing, and maintaining enterprise reporting and business intelligence solutions. Experience integrating, transforming, and analyzing data from multiple enterprise systems using SQL and modern data engineering techniques. Experience developing interactive dashboards, scorecards, and executive reporting using Microsoft Power BI or comparable business intelligence platforms. Experience gathering, analyzing, and documenting business requirements and translating those requirements into technical reporting and analytical solutions. Experience working directly with business stakeholders to define reporting requirements, key performance indicators (KPIs), and performance measures. Demonstrated experience analyzing portfolio, project, financial, operational, or governance data to support executive decision-making. Strong analytical and problem-solving skills with demonstrated experience performing root cause analysis, identifying trends, and making data-driven recommendations. Experience developing and optimizing SQL queries, data models, and data transformation processes. Excellent written and verbal communication skills with the ability to communicate technical information effectively to both technical and non-technical audiences. Demonstrated ability to work independently while managing multiple assignments, priorities, and stakeholder expectations. Preferred Qualifications Preference will be given to candidates with experience in one or more of the following: Project Portfolio Management (PPM) systems such as Clarity, ServiceNow PPM, Planview, Microsoft Project Online, or similar enterprise portfolio management platforms. Portfolio management, investment management, project governance, or executive portfolio reporting. Microsoft Power BI, Microsoft Fabric, Azure Data Factory, Azure SQL, Microsoft SQL Server, or comparable Microsoft analytics technologies. Enterprise data warehousing, semantic models, or business intelligence architecture. Developing automated reporting solutions using APIs, ETL processes, scripting languages, or data integration platforms. Government, public sector, or other large enterprise reporting environments. Project management methodologies including PMI PMBOK, Agile, Scrum, Kanban, or SAFe. Financial management, capital investment management, or portfolio performance reporting.

The DCS Air & Space Technology (AST) Sector is seeking an Operations Research Analyst for an exciting opportunity in support of the Air Force Research Laboratory (AFRL). In this role, you will help deliver technical expertise, with a focus on Modeling, Simulation & Analysis. You will collaborate closely with other DCS computer scientists and data analysts to support the customer's digital engineering initiatives. This position offers a chance for your curiosity and creativity to shine as you engineer unique solutions for a diverse problem set. We are seeking individuals that are driven and ready to grow with our company. DCS recognizes that its employees are the critical component in providing renowned solutions in the U.S. Defense, Aerospace, Human Factors, and Security markets. As an employee-owned company, professionals across all levels are valued and provided with the resources to make an immediate impact. At DCS, you will have the opportunity to collaborate with colleagues across multiple departments to support world-class research and development, while benefiting from training and mentorship to guide your career growth. Join DCS and contribute to innovative solutions that shape the future of critical technologies. Essential Job Functions: Team Leadership & Mentorship: Lead multi-disciplinary teams of software developers, engineers, and data analysts in conducting complex analytical research and Operator-in-the-Loop studies. Provide direct mentorship to junior engineers in MS&A and modeling methodologies. System Modeling: Design and model complex heterogeneous systems, including Aircraft Systems, Missile Systems, Radars, Jamming (Electronic Warfare), and Communications. Advanced Analytics: Apply advanced analytic principles to large datasets to gain insights into challenging research and engineering questions related to future technologies. Agile Framework: Direct and participate in Agile ceremonies, sprint planning, backlog grooming, and triage. Required Skills: Due to the sensitivity of customer related requirements, US citizenship is required. Must have an active Secret security clearance with the ability to maintain. Must have a Bachelors degree in a technical field (Computer Science, Engineering, Mathematics, Analytics or Similar) 8-10 years of professional experience in modeling, simulation and analysis or operations research analysis. Experience using a scripting language (Python, R, or similar). Experience in applying advanced statistical and analytic methodologies to assess challenging research problems. Experience with applying scientific methodologies to design experiments that answer specific research and analytic questions. Experience developing presentations and communicating results to senior leaders Must be curious to explore new problems and develop creative solutions. Strong communication skills, both written and verbal. Must work onsite at customer facility. Remote work is not available. Desired Skills: Active Top Secret security clearance with SCI eligibility. Master's degree in a technical field (Computer Science, Engineering, Mathematics, Analytics or Similar). Experience with Agile software development methodologies, specifically utilizing the Scrum Framework. Experience developing machine learning models and employing them in a research setting. Experience utilizing or developing AFSIM focused on mission-level modeling and scenario analysis.

Job Title: Manager, Oracle Fusion Analytics Finance (OTC & PTP) Location: Nashville, TN (preferred) or New York, NY Onsite full time Duration: Contract - 7 months (possible extension) Pay Range: $80-110/hour W2 (depending on location) About TSR TSR is a trusted staffing and workforce solutions partner with more than 50 years of experience delivering highly qualified talent to support clients' most critical business and technology initiatives. Through a disciplined approach to sourcing, candidate vetting, and delivery, TSR helps organizations scale teams quickly while maintaining quality and reliability. TSR operates with a global delivery model, leveraging specialized teams to support enterprise clients across North America and beyond. In June 2024, TSR was acquired by Justin Christian, founder and CEO of BCforward, a global provider of professional services and workforce solutions. This partnership expands TSR's ability to deliver broader capabilities, global delivery resources, and enhanced opportunities for both clients and consultants. Job Description We are seeking a Manager, Oracle Fusion Analytics - Finance (OTC & PTP) to lead the design, delivery, and governance of analytics and reporting across core Finance functions. The role focuses on Order-to-Cash (OTC) and Procure-to-Pay (PTP) and translates business needs into decision-ready insights built on Oracle Fusion Cloud ERP and its analytics ecosystem, including Fusion Analytics Warehouse / Fusion Data Intelligence (FDI), OTBI, and BI Publisher. This techno-functional role leans 60% functional and 40% technical and partners with Finance, IT, and data engineering to establish trusted metrics and dashboards. The position is onsite in Nashville, TN or New York, NY. Responsibilities: Own and execute the analytics and reporting roadmap for OTC and PTP within Oracle Fusion Cloud ERP. Translate Finance requirements into scalable data models, dashboards, and self-service reporting using FDI, OTBI, and BI Publisher. Define a single source of truth for OTC and PTP metrics and maintain KPI standards, semantic definitions, and data governance. Deliver OTC analytics across credit, billing/invoicing, collections, cash application, deductions/disputes, and revenue; configure metrics such as DSO, aging, CEI, disputes, write-offs, and billing accuracy. Partner with AR, Credit, and Collections leaders to surface insights and support cash-flow forecasting. Deliver PTP analytics across requisitions, POs, receipts, invoice processing, approvals, and payments; configure metrics such as DPO, invoice cycle time, touchless rates, on-time payment, early-payment discounts, and duplicate-payment risk. Partner with AP, Procurement, and Sourcing leaders to improve spend visibility, supplier performance, and payment optimization. Lead, mentor, and develop analysts and report developers; set priorities and ensure on-time, high-quality delivery. Analysts will support this role, though not as direct reports. Act as liaison between Finance process owners, IT/ERP teams, and data engineering; lead requirements sessions and manage a prioritized backlog. Promote data literacy and self-service adoption across Finance while reducing manual and ad hoc reporting. Required Skills & Qualifications: Bachelor's degree in Finance, Accounting, Information Systems, Data Analytics, or related field. 7+ years in finance analytics, business intelligence, or ERP reporting, including 2+ years in a leadership or team-lead capacity. Hands-on expertise with Oracle Fusion Cloud ERP analytics: Fusion Analytics Warehouse / Fusion Data Intelligence (FDI), OTBI, and BI Publisher. Functional knowledge of OTC and PTP processes and Oracle Fusion data for AR, AP, Procurement, and GL subledgers. Proficiency in SQL and data modeling; dashboard and data visualization best practices. Ability to translate Finance requirements into analytics solutions and present insights to senior stakeholders. Experience with Oracle Fusion implementations, upgrades, or analytics migrations. Familiarity with cloud data platforms such as OCI, Snowflake, or Azure and ETL/integration tools. Knowledge of working-capital optimization and finance transformation initiatives. Relevant Oracle certifications, e.g., Oracle Fusion Analytics or Cloud ERP. Experience supporting month-end close, controllership, or FP&A reporting. Preferred Skills: Exposure to cloud data platforms and modern integration patterns. Experience driving self-service analytics adoption within Finance. Role Logistics: Onsite locations: 330 Commerce Street, Nashville, TN (preferred) or 1515 Broadway, New York, NY. Hours: 8 a.m. to 5 p.m. or 9 a.m. to 6 p.m., with flexibility to support Budapest as needed. Travel: Occasional to key office locations; domestic and possible Budapest. Key Competencies: Analytical and data-driven decision making. Finance domain expertise in OTC and PTP. Stakeholder management and communication. Team leadership and talent development. Attention to detail and data quality focus. Why TSR? At TSR, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment TSR is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now: If this sounds like the right opportunity for you, please apply with your most recent resume. Indicate whether you are being considered for the Nashville, TN location or the NYC location. Include a brief sales pitch at the top of your resume explaining why you are qualified for this position.

Overview TeleWorld Solutions is seeking a Data Analyst/Data Scientist AI/ML Engineer to join our team! As a Data Analyst/Data Scientist AI/ML Engineer , you will work under the coaching of Senior and Lead engineers of the Data Science & Tools Team to analyze Samsung's deployed network elements. You will utilize skills to query databases to extract data, use skills in Python or R to analyze data such that you can identify 4G/5G network infrastructure and performance issues and build prediction models, ad-hoc tools, and dashboards to communicate your findings with your team and peers. TeleWorld Solutions is a strategic wireless engineering and consulting firm offering network operators, OEMs and tower companies' turnkey design, optimization, network dimensioning, and deployment services. With the experience of hundreds of thousands of successful implementations, including macro, DAS, Small Cells, and Wi-Fi, the world's leading network operators and OEMs trust our knowledge and experience to plan, perform, troubleshoot, and implement an array of technologies and solutions. TeleWorld helps customers plan, design, manage, measure, and monetize opportunities throughout the network lifecycle and across every element of their network. Come join our Veteran-Friendly Team. The Company with Great Benefits and certified as "A Great Place to Work". Responsibilities • 7+ years of professional experience in Data Science, Data Analytics, and/or Data Engineering with abilities to work with large datasets using demonstrated statistical, predictive modeling and machine learning methods.• 3-5 years demonstrated experience on designing, deploying, and maintaining large scale ML systems in a production environment.• Work closely with the internal and external stakeholders to explore relationships of 4G/5G KPI measurements and targets (KPI, KQI) for 4G/5G RAN product acceptance and performance monitoring.• Collaborate with RF engineers, network engineers, data scientists, platform engineers, product teams, and operations stakeholders to ensure ML outputs are technically accurate, interpretable, and operationally useful.• Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product evaluation.• Aid in product & feature performance analysis, evaluation of new product & SW releases and 3rd party product evaluation using analytics/data science to drive intelligent business decisions.• Work with the team to proactively define and interpret data/metrics/KPIs, analyze results, and provide insights to determine operational impact, trends and opportunities for all the 4G/5G RAN products.• Prototyping use cases, implementing automations, and developing tools to support and augment manual or repetitive efforts.• Communicate key findings to stakeholders using visualizations and/or other suitable methods.• Excellent verbal and written communication skills to communicate technical and complex concepts in an easy-to-follow progression.• Able to compile analysis output and findings into a succinct story for technical and non-technical audiences.• Adapt to changes in a dynamic business environment and, support management initiatives. Qualifications • Graduate Degree in Computer Science, Statistics, Data Science or a related Data Engineering with 7+ years of professional experience is preferred.• Programming experience: Python & Spark (preferred) and/or other languages such as R , SQL, Hive, Spark, Javascript, Visual Basic, C++, shell scripting in a linux or IDE environment such as VSCODE, Jupyter, RStudio, etc.• Cloud Development Experience - AWS/Azure/Google utilizing cloud providers such as Databricks or Snowflake• Machine learning expertise: GLM Regression (Linear, Logistic, Multinomial), Decision Tree (including Boosted Trees, Random Forest), kMeans/Hierarchical Clustering, Principle Component Analysis, t-SNE, Neural Networks such as transformers and auto-encoders, Bayesian Regression, and Times Series Modeling.• Experience using data with high-volume (1TB+) & high-dimensionality (500+ variables per schema), especially within a big data framework (HaDoop, Citus, MongoDB, etc).• Experience performing Data Wrangling, Exploratory Data Analysis (EDA), Correlation Analysis, Statistical Methodologies (distributions, hypothesis testing, confidence intervals) & Significance Testing, A/B Testing.• Experience with MLOPS concepts and environments such as MLFLOW a plus.• Experience with basic linux administration and software development in a linux environment.• Experience in hardware resource management and configuration - CUDA, Docker, KubeFlow, Kubernetes, etc a plus• Must possess qualities of being curious and eagerness to learn .• Experience with data visualization and ability to quickly grasp statistical methods, and methodologies. Maintain a strong command of current data analytics technology trends, including emerging paradigms and practices.• Demonstrated research and problem solving skills via prior work experience. Experience with wireless infrastructure provider and/or operator is desired.• Technical knowledge of any wireless technology & procedures including CDMA/EVDO/LTE/Volte and/or 5G a plus.• Experience with evaluating service performance trends and proactively defining RAN system performance related issues a plus.• Experience of software version control, coding best practices, and use of development management software such as github, bitbucket, etc is desired.• Must have a strong work ethic, integrity and work extremely well independently or in a team environment. Join Our Veteran-Friendly Team: Are you a veteran or a veteran spouse with expertise in telecommunications? Join our team at TeleWorld Solutions, where we value your military experience and provide great benefits. We invite all veterans and veteran spouses to bring their skills and dedication to our team. TeleWorld Solutions is committed to employing a diverse workforce and provides Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

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

Job Description: Job Title: Reconciliation & Reporting Analyst Duration: 12+ Months contact with high possibilities for extension Location: 100% Remote Position About the role You will join the Recon and Reporting team, which owns our post-transaction systems: the platform responsible for reconciling money, tracing the end-to-end flow of funds, and meeting our tax and regulatory reporting obligations to merchants, customers, and authorities worldwide. Reconciliation and financial reporting are essential to running a payments business, and given our transaction volume, this role has direct, measurable impact on financial accuracy and trust. As an Analyst on the team, you will be the person who ensures the numbers tie out. You will reconcile card-network settlement and report files (Visa, Client, and equivalents), along with data from acquirers, processors, and banks, against our internal payment and ledger data. You will investigate and resolve discrepancies down to the last penny, build the automated reporting that finance, accounting, and business stakeholders rely on, and turn what you learn from breaks and exceptions into better metrics, controls, and tooling. Our mantra: all funds in the right place, at the right time, for the right purpose. What you'll do Execute time-sensitive daily, weekly, and monthly reconciliations between card networks, banking partners, processors, and internal transaction and ledger data to ensure data integrity across all sources. Investigate unreconciled items and discrepancies: perform root-cause analysis across network, bank, and internal data, drive corrective actions, and escalate irregularities promptly. Design, develop, and maintain automated SQL-based reconciliation and reporting solutions (e.g., break dashboards, settlement summaries, exception queues) using team best practices, with guidance and review from senior analysts. Contribute to the design of the team's success metrics (e.g., match rates, break aging, time-to-resolution, reporting SLAs) and communicate KPI results to business partners and leadership. Support month-end close: prepare reconciliation reporting, standardized summaries, and supporting documentation that feed downstream accounting, audit, and regulatory processes. Monitor daily settlement, funding, and banking activity to detect irregularities, and spot upstream data or pipeline issues that impact reconciliation and reporting data sources. Partner day-to-day with Engineering, Product, Accounting, Treasury, and Compliance: file and follow production support tickets, define business requirements for fixes and enhancements, and validate changes before deployment. Maintain clear process documentation and runbooks, identify control gaps and manual toil, and propose automation and process improvements. Handle reconciliation and reporting requests from internal stakeholders and external partners, communicating clearly with both technical and non-technical audiences. Use AI tools to explore ideas, improve speed of delivery, and deepen insights in your analytical work. Skills: (Minimum Requirements): 5+ years of related experience in reconciliation, settlement, payment operations, accounting, or finance analytics with a Bachelor's degree (Finance, Accounting, Economics, a quantitative field, or similar); or a Master's degree; or equivalent work experience. Independent proficiency in SQL, including building and maintaining automated SQL-based reporting. Strong Excel skills (complex formulas, pivot tables) and comfort working with large, messy transactional datasets. Detail-oriented "detective" mindset: demonstrated ability to research discrepancies, question the correctness and completeness of data, and follow issues through to resolution. Working knowledge of general accounting principles and the mechanics of money movement. Strong written and verbal communication skills, with the ability to present findings to both analytics peers and non-technical business stakeholders. Self-motivated and proactive; delivers accurate work on tight, recurring deadlines and proactively communicates progress, learnings, and delays. Preferred Qualifications: Prior experience with card-network reconciliation and settlement (Visa, Client, Client, Client), including network settlement, clearing, and report files. Familiarity with funds-transfer processes and rails (ACH, wire, SWIFT, RTP/FedNow) and with the payments ecosystem: merchants, acquirers, issuers, processors, and program banks. Experience with reconciliation tools, banking portals, and BI/reporting platforms (e.g., Looker, Tableau). Exposure to month-end close, interchange and fee/cost reconciliation, revenue-leakage detection, or regulatory and tax reporting. Experience supporting audits, internal controls, or SOX-adjacent processes. Curiosity about payments products and a track record of improving or automating operational processes.

Job Title: Senior MicroStrategy BI Developer Location: Charlotte, NC (Onsite Required) Duration: Contract - 11 months Pay Range: $65.05/hr (W2) Job ID: 406728 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Software Engineer III to join our dynamic team supporting the Opex - Medallia project. The ideal candidate will have strong experience in MicroStrategy, Oracle, PL/SQL, and data modeling and a proven ability to design, develop, test, and migrate complex BI reports and dashboards, including conversions from OBIEE to MicroStrategy. Responsibilities: Design, develop, test, and migrate complex BI reports and dashboards in MicroStrategy. Convert existing OBIEE reports to MicroStrategy with attention to data accuracy and performance. Perform end-to-end analysis including requirements gathering, data modeling, and technical design for HR and operational reporting. Write and optimize SQL and PL/SQL scripts against Oracle data warehouse and big data environments for analysis, discovery, and testing. Develop visually clear, consumable dashboards and analytics for business stakeholders. Ensure scalable reporting architecture as new warehouse functionality is introduced. Collaborate with architects to translate business objectives and technical requirements into engineering solutions following sound practices. Work with large-scale data transformations involving millions of rows with performance considerations. Required Skills & Qualifications: MicroStrategy Certified Developer (v9/10) with hands-on dashboard and report development experience. Strong Oracle and PL/SQL proficiency, including performance tuning and complex query development. Data modeling expertise for BI and data warehouse solutions. Experience with large-scale data warehousing and report migration from OBIEE to MicroStrategy. Preferred Skills: Background in HR and operational reporting domains. Experience collaborating with enterprise architects on target architectures. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits Opportunities for growth with global clients A supportive, inclusive culture that values innovation and people Exposure to cutting-edge technologies and projects About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

Job Title: Sr. Azure Databricks Data Engineer Location: Fort Worth, TX 76155 (Hybrid) Durations: 6-12+ Months with possible extension and conversions. Job Overview: We are seeking a Senior Azure Databricks Data Engineer to support Airline Crew Operations Data Analytics projects. The selected candidate will design, develop, test, and maintain cloud-based ETL pipelines using Azure Data Factory, Databricks, PySpark, and Python.The ideal candidate is a self-driven problem solver who can work independently, handle complex data requirements, and deliver reliable data solutions in an Agile environment. Required: 7+ years of overall experience in data engineering, software development, or a related field. 5+ years of experience working in an Agile development environment. 3-5 years of hands-on experience with Databricks, PySpark, and Python. At least 3 years of experience with Microsoft Azure and Azure Data Factory. 3-5 years of experience with data validation, data-quality testing, and reconciliation. Strong experience designing and supporting cloud-based ETL pipelines. Ability to analyze data issues and independently develop practical solutions. Preferred: Experience optimizing Databricks workloads and large-scale data pipelines. Familiarity with Azure-based data architecture and deployment processes. Responsibilities: Design, develop, and maintain ETL/data pipelines using Azure Data Factory and Databricks. Develop scalable data-processing solutions using PySpark and Python. Perform data validation, data-quality checks, reconciliation, and troubleshooting. Transform and prepare operational data for analytics and reporting. Identify and resolve pipeline failures, performance issues, and data inconsistencies. Work with business analysts, data engineers, and other stakeholders to understand data requirements. Participate in Agile ceremonies, including sprint planning, stand-ups, reviews, and retrospectives. Document pipeline designs, data mappings, validation rules, and technical processes. Support Airline Crew Operations data and analytics initiatives. Follow cloud engineering, security, testing, and deployment best practices. Pay Range: $60 - $65 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.

Job Title: Senior C#/.NET Developer Location: Charlotte, NC Duration: Contract - 12 months Pay Range: $65.05/hr (W2) Job ID: 407728 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a .NET Software Engineer to join our dynamic team. The ideal candidate will have strong experience in C#/.NET, ASP.NET, SQL Server, and web application development and a proven ability to design, build, and support regulatory reporting applications within a controlled environment. Responsibilities: Design, develop, test, and maintain regulatory reporting applications for Enterprise Stress Testing Technology. Collaborate with business partners to define and refine application requirements. Write clean, maintainable code and deliver comprehensive documentation. Troubleshoot, debug, and support production systems in a change-controlled environment. Required Skills & Qualifications: 5+ years of hands-on C# .NET development on new projects or major feature enhancements. 3+ years of recent experience with ASP.NET for web applications. Experience building web applications using HTML, CSS, ASP.NET, and Visual Studio. Proficiency with SQL Server 2014 or later, including database design and development. Preferred Skills: Experience with Tableau or MicroStrategy for reporting and analytics. Familiarity with RESTful web services and JSON. Experience in SCRUM Agile environments. Background in highly regulated, change-controlled environments. Knowledge of Blazor for web development. Experience with unit test frameworks such as Selenium or xUnit. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits Opportunities for growth with global clients A supportive, inclusive culture that values innovation and people Exposure to cutting-edge technologies and projects About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

Job Title: Senior Oracle PL/SQL Developer / Oracle Technical Lead Location: Plano, TX (Onsite Required) Duration: Contract - 11 months Pay Range: $68.25/hr (W2) Job ID: 406965 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Senior Oracle Developer / Feature Lead to join our dynamic team. The ideal candidate will have strong experience in Oracle PL/SQL, data warehousing, ETL, and Agile delivery and a proven ability to lead feature delivery, mentor developers, and deliver scalable, secure data solutions for HR analytics. Responsibilities: Lead feature delivery for HR analytics, including technical design, development, testing, and migration of Oracle objects. Mentor and provide technical direction to a team of offshore developers and act as liaison for production activities. Develop complex ETL and data models in a data warehousing environment for FTE, headcount, and leadership reporting. Participate in status meetings, track progress, resolve issues, mitigate risks, and escalate concerns as needed. Champion coding, quality, unit testing, release procedures, documentation protocols, and change management standards. Implement enterprise data quality and data protection standards and ensure compliance with data governance. Identify data anomalies and patterns in large datasets and drive continuous improvement of database scalability and performance. Use Git/Bitbucket for version control and set up automation jobs with Autosys. Advance Agile delivery practices including automated testing, CI/CD, and DevOps. Required Skills & Qualifications: 6+ years of data warehousing, including efficient manipulation and transformation of large data volumes. 6+ years with Oracle RDBMS, SQL, and PL/SQL, including stored procedures, functions, triggers, and VPD security. Advanced analytical, debugging, and critical thinking skills with demonstrable risk identification. Experience with TOAD, Unix shell scripting, Autosys, Jira, and Microsoft Office Suite. Experience in Master Data Management concepts, tools, and best practices. Background in Enterprise HR or other sensitive data domains, preferably in financial services or banking. Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent experience. Preferred Skills: Experience with Agile Scrum, SAFe, DevOps, and CI/CD release processes. Experience with large data domains such as Global HR, Global Finance, or Real Estate; finance data domain exposure is beneficial. Working knowledge of AI/ML and big data analytics technologies and integrations. Git/Bitbucket proficiency and Autosys job scheduling expertise. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. Additional Details Onsite required in Plano, TX. August start. Project: Opex - Medallia. Location code: TX2-981-04-28. Assessment: GLIDER (ID required). About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

Why Zensar? We re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships, with our clients and with each other and happiness is at the core of everything we do. In fact, we re so into happiness that we ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition grow, own, achieve, learn (GOAL) lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar! Zensar is seeking a Adobe Experience Platform (AEP) Architect -Hybrid model(3 days onsite- San Ramon, CA).This is open for Full time with excellent benefits and Contract Role as well with outstanding growth opportunities. You might really grab our attention if you have: Role: Adobe Experience Platform (AEP) Architect Location: San Ramon, CA-3 days onsite Experience: 10+ Years Overall 5+ Years in Adobe Experience Platform (AEP), Adobe RTCDP, and Adobe Experience Cloud Ecosystem Role Summary: We are seeking a highly experienced Adobe CDP Onsite Specialist who combines the expertise of an Adobe Solution Architect, Hands-on Developer, and Integration Specialist. The individual will serve as the primary onsite lead for the implementation, integration, and activation of Adobe Experience Platform (AEP), Adobe Real-Time CDP (RTCDP), Customer Journey Analytics (CJA), Adobe Journey Optimizer (AJO), Adobe Target, AEM, CRM, and other enterprise data sources. The role requires close collaboration with Business, Marketing, Sales Operations, Data, and IT teams, translating business objectives into scalable customer data and activation solutions while ensuring seamless integration across the ecosystem. The candidate will act as the trusted advisor to stakeholders and own end-to-end solution delivery from discovery through activation and optimization. Responsibilities are aligned with Adobe CDP architecture, integration, data modeling, identity resolution, and cross-platform activation practices referenced across internal Adobe CDP implementation initiatives. Adobe AEP & RTCDP Solution Architecture: Lead the end-to-end architecture and implementation of Adobe Experience Platform and Adobe Real-Time CDP. Define customer, account, and behavioral data models leveraging XDM standards. Design profile schemas, datasets, identity namespaces, and profile stitching strategies. Establish governance, privacy, consent management, and data usage frameworks. Review and approve solution designs, architecture decisions, and technical specifications. Business & Stakeholder Management: Act as the primary onsite point of contact for business and IT stakeholders. Facilitate requirement workshops and discovery sessions with Marketing, Digital, Data, Analytics, Sales, and Technology teams. Translate business objectives into scalable Adobe CDP use cases and solution designs. Drive alignment across Marketing, CRM, Commerce, Analytics, Data Engineering, and Security teams. Present architecture, solution recommendations, project status, and implementation roadmaps to senior leadership. Zensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed. Accommodation made to facilitate the recruiting process are not a guarantee of future or continued accommodation once hired. All applicants must be legally authorized to work with Zensar. Visa sponsorship may be available for qualified applicants for certain positions. Zensar values your privacy. We'll use your data in accordance with our privacy statement located at:

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a Senior Data Engineer at Uline, you'll play a pivotal role in constructing and maintaining our new, cutting-edge data collection systems and analytics platform. Careers Packed with Potential. Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on. Position Responsibilities Partner with business users to design and build BI and data warehouse solutions. Engage with project leads, analysts and business users to implement and test data warehouse applications. Build complex data engineering processes to support business analytics and reporting. Perform unit, performance and regression testing on ETL mappings. Follow coding standards, review code and enhance quality practices. Oversee production deployments and coordinate with other teams to execute. Minimum Requirements Bachelor's degree in information technology or related field. 8+ years in data engineering. 5+ years of hands-on experience developing ETL using Informatica PowerCenter. Proven experience writing complex T-SQL and DB performance tuning. Strong troubleshooting skills to resolve data issues. Knowledge of SSIS, Python, Azure or Databricks is a plus. Uline does not participate in the H1-B lottery. Benefits Complete health insurance coverage and 401(k) with 6% employer match that starts day one! Multiple bonus programs. Paid holidays and generous paid time off. Tuition Assistance Program that covers professional continuing education. Employee Perks Café featuring affordable daily meal options from local restaurants. On-site fitness center and beautifully maintained walking paths. Best-in-class, clean, modern facilities. About Uline Uline, a family-owned company, is North America's leading distributor of shipping, industrial, and packaging materials with over 10,000 employees across 15 locations. Uline is a drug-free workplace. All new hires must complete a pre-employment hair follicle drug screening. All positions are on-site. EEO/AA Employer/Vet/Disabled () Our employees make the difference and we are committed to offering exceptional benefits and perks! Explore Uline.jobs to learn more!

Job Description: Location: This is a hybrid position that requires the candidate to work on-site in Renton, WA, on Tuesday, Wednesday, and Thursday, and to work remotely on Mondays and Fridays. Sr. Google Platform Engineer: The cloud platform underpins how services are built, deployed, and operated across the organization. As the platform expands, integrating Google Cloud Platform (GCP) and Google Workspaces into a cohesive, governed, and automated ecosystem is critical to enabling secure collaboration, scalable infrastructure, and consistent developer experiences. As a Senior Google Platform Engineer, you will design and implement the platform capabilities that unify identity, collaboration, and cloud infrastructure across GCP and Workspace technologies, like Analytics, Firebase, Maps, and Play. You will ensure these services are not managed as isolated tools, but as integrated components of a standardized, self-service platform. This role operates at the platform architecture and implementation layer, translating identity, access, collaboration, and infrastructure requirements into automated, scalable, and secure platform patterns. Success in this role means teams can provision, collaborate, and operate across Google services using consistent, automated workflows, without manual setup or fragmented configurations. What You'll Do Design GCP Platform Foundations Architect and implement GCP project, folder, and organization structures aligned with platform standards Implement Google managed accounts for GCP project, folder, and organization structures aligned with platform standards Define and enforce identity and access patterns using IAM, service accounts, and federation Build automated workflows for project provisioning, lifecycle management, and decommissioning Ensure GCP environments are created through standardized, auditable, and repeatable processes Integrate Google Workspace into the Platform Design and automate Google Workspace identity, group, and access models Integrate Workspace with cloud identity systems (e.g., Azure AD / Entra ID, SSO, federation) Standardize provisioning and lifecycle of: Users and groups Shared drives and collaboration resources Access controls aligned to platform guardrails Ensure Workspace usage aligns with security, compliance, and governance standards Enable Identity-Centric Platform Architecture Build and enforce identity-first platform patterns across GCP, Workspace, and other cloud systems Automate role-based access, group management, and policy enforcement Ensure consistent identity propagation across: Infrastructure CI/CD systems Observability platforms Reduce reliance on manual access management and exception handling Automate Platform Workflows & Guardrails Implement Infrastructure-as-Code (IaC) and automation for GCP and Workspace integrations Encode platform guardrails using policy frameworks and automation tools Ensure provisioning, access, and configuration changes occur through approved, observable workflows Reduce manual intervention by expanding automation coverage Integrate Cross-Platform Capabilities Ensure GCP and Workspace integrate seamlessly with: CI/CD platforms (e.g., GitLab) Infrastructure tools (e.g., Terraform Cloud) Observability platforms (e.g., Datadog) Enable consistent patterns across multi-cloud and multi-tool environments Drive Platform Adoption & Consistency Partner with engineering teams to identify friction in platform usage Improve usability through standard patterns, templates, and documentation Ensure platform capabilities are easier to adopt than custom solutions Guide teams toward platform-first usage models What You'll Bring Experience & Expertise 5-8+ years of experience in cloud, platform, or infrastructure engineering Hands-on experience with Google Cloud Platform (GCP) architecture and services Experience with Google Workspace administration and integration Strong understanding of: Identity and access management (IAM, SSO, federation) Cloud organization and resource hierarchy design Network and security fundamentals Platform & Automation Experience building automated, reusable platform capabilities Proficiency with Infrastructure-as-Code (Terraform, etc.) Strong scripting and automation skills Experience integrating identity and access controls into automated workflows Cross-Platform Integration Experience integrating GCP with: Enterprise identity providers (e.g., Azure AD / Entra ID) CI/CD and developer tooling ecosystems Understanding of multi-cloud and hybrid platform architectures Ability to lead technical design and influence platform standards Experience mentoring engineers and reviewing platform designs Strong communication skills across engineering, security, and leadership teams Pay Range: $80.00 - $90.00 per hour, depending upon experience. Health & Medical Benefits, 401K, Employee Assistance Program, and Sick Time applicable by state.