Data engineer jobs in Fort Smith, AR

About the job The Data Scientist / Database Architect will serve as a critical architect and analytical engine for our growing insights team, supporting a suite of data-driven initiatives across the organization. This role is not just about building databases - it's about making data actionable. The ideal candidate brings experience from a corporate retail or e-commerce environment and can seamlessly integrate diverse datasets to drive strategic decisions. Located in the Bentonville, AR area, this position is on-site and central to how we structure, analyze, and deliver intelligence to both internal and external stakeholders. Heavy AI and machine learning experience is strongly preferred, and advanced analytical instincts are essential. Key Responsibilities: Data Architecture & Integration Design and maintain a scalable infrastructure that unifies multiple data sources, including POS, syndicated, loyalty, operational, and third-party data, into a coherent and high-performance environment. Build and maintain robust ETL pipelines for ingesting, cleansing, and transforming structured and unstructured data. Ensure the infrastructure supports both daily reporting and deep-dive exploratory analytics. Data Analysis & Modeling Serve as a lead analyst across the organization, translating complex data into actionable insights. Conduct advanced analytics to support strategy, product development, and market research. Develop models and forecasting tools using Python, R, SQL, or other statistical languages. Contribute to AI/ML-based projects for predictive analytics, automation, or consumer segmentation. Dashboarding & Visualization Support Enable data storytelling through the creation and maintenance of dashboards and visualizations. Collaborate with researchers and analysts to ensure clean and consistent data feeds into Forsta, Power BI, and Tableau environments. Help define and enforce data taxonomy and governance to keep systems clean and scalable. Cross-Team Collaboration Act as a key technical liaison between insights, research, design, and executive teams. Troubleshoot data issues and provide technical support to non-technical stakeholders. Contribute to broader organizational initiatives that depend on data structure and access. Qualifications: Minimum 7 years of experience in a retail, e-commerce, or digital product environment working with enterprise-level datasets. Expertise in SQL, cloud-based platforms (AWS, GCP, or Azure), and strong knowledge of data warehousing best practices. Proficiency in Python and/or R for advanced statistical analysis and machine learning. Deep familiarity with dashboarding tools like Power BI, Tableau, and data visualization platforms like Forsta. Strong understanding of data normalization, security, and governance. Experience integrating and analyzing data from disparate systems (POS, loyalty, inventory, etc.). Demonstrated success in producing real-time and strategic insights from complex datasets. Preferred Education: Degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field. Master's degree preferred, but equivalent real-world experience will be considered. Preferred Skills: Experience applying AI/ML to consumer modeling, trend forecasting, or data automation. Ability to act as both architect and analyst - building systems and producing insights. Clear communicator who can explain complex ideas to non-technical teams. Benefits: · Competitive salary · Health, dental, and vision insurance · Paid time off and retirement plan options · Opportunities for professional development and continuing education

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 11. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 12. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 13. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 14. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 15. Masters or Ph.D. Degree in a quantitative field 16. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 17. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. Datavant is looking for an enthusiastic and meticulous Data Scientist to join our growing team, which builds machine learning models for use across Datavant in multiple verticals and for multiple customer types. As part of the Data Science team, you will play a crucial role in developing new product features and automating existing internal processes to drive innovation across Datavant. You will work with tens of millions of patients' worth of healthcare data to develop models, contributing to the entirety of the model development lifecycle from ideation and research to deployment and monitoring. You will collaborate with an experienced team of Data Scientists and Machine Learning Engineers along with application Engineers and Product Managers across the company to achieve Datavant's AI-enabled future. **You Will:** + Play a key role in the success of our products by developing models for NLP (and other) tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **What You Will Bring to the Table:** + Advanced degree in computer science, data science, statistics, or a related field, or equivalent work experience. + 4+ years of experience with data science and machine learning in an industry setting. + 4+ years experience with Python. + Experience designing and building NLP models for tasks such as classification, named-entity recognition, and dependency parsing. + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow. + Demonstrated ability to drive results in a team environment and contribute to team decision-making in the face of ambiguity. + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines. + Initiative and ability to independently explore and research novel topics and concepts as they arise. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: * Analyse and identify the linkages and interactions between the component parts of an entire system. * Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. * Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. * Develop skills outside your comfort zone, and encourage others to do the same. * Effectively mentor others. * Use the review of work as an opportunity to deepen the expertise of team members. * Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. * Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: * Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients * Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach * Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases * Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds * Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases * Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; * Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; * Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; * Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps * Structuring, write, communicate and facilitate client presentations; and, * Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: * Managing GenAI application development teams including back-end and front-end integrations * Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); * Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization * Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev * Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms * Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

General Purpose Supports IT services by performing warehouse and line support duties to include all types of receivables, disbursals, movement of all types of material, parts supplies, equipment, and finished product. Routes and transports material to proper areas/point of use, maintaining audits, part identification, location, and quantity information to support accuracy of perpetual inventory systems. Inputs to an inventory data base through variety of processes. Position: IT Data Warehouse Specialist Hours: Full Time Location: Fort Smith, AR At Aegis Therapies, you'll be part of a team that truly makes a difference in the lives of others. Here, your contributions are as meaningful to us as to those we serve. You don't have to be a caregiver to want to help improve lives. No matter your skills, you can help fulfill Aegis' mission to inspire change, impact lives and innovate to drive success. By joining our corporate team, you'll work with others who share your passion, and you'll receive support from a team that appreciates your unique contributions. We offer a comprehensive benefits package, paid time off and the chance to grow your career at a company that values each individual. Apply today. Qualifications: A High School Diploma or GED require Related experience in inventory/equipment warehousing preferred Basic computer literacy and ability with an aptitude to learn company software EEO Statement: Aegis Therapies and its Family of Companies is committed to a diverse workforce and is an Equal Opportunity Employer. For detailed information on your rights, Click Here OR ***************************************************************************************

The Data Engineer will be responsible for expanding, optimizing and monitoring our data and data pipeline architecture, as well as optimizing data flow and collection across organizational teams. The Data Engineer will support our software engineers, database architects and data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. KEY RESPONSIBILITIES: Create and maintain optimal data pipeline architecture to support our next generation of products and data initiatives. Assemble large, complex data sets that meet functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability. Experience in the development of SSIS, ETL and other standardized data management tools. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Performs other duties as required. QUALIFICATIONS: Build processes supporting data transformation, data structures, metadata, dependency and workload management. Strong project management and organizational skills. Ability to work independently, handle multiple tasks and projects simultaneously. Successful completion of Health Care Sanctions background check. EDUCATION/EXPERIENCE: College degree or equivalent experience required. Project management skills preferred. Willingness to work in a high-tech, continually evolving, innovative environment.

Ventures Unlimited is a service centric organization. Our success begins with our ability to apply our relationships, leverage technologies, and identify talent - often in combination - to an endless array of real-world customer needs Position : Data Stage ETL Architect Location : Bentonville, AR Type : Full Time Permanent Job Description : Mandatory Technical Skills : Extensive working experience in Data Stage 8.1, 8.5, Data Stage 9.1 - Create reusable components to automate and stream line the process with out much manual intervention in ETL process. • Experience in handling multiple projects at the same time without other's assistance. • Advanced Dimensional modeling concepts, RDBMS concepts and Database concepts. • Experience in handling large scale enterprise data warehousing & business intelligence projects • Very Good Communication Skill to handle JAD Sessions and business meetings • Providing technical leadership to development team and act as a bridge between Business and Application Development team • Hands on design experience of Star-Schema ,Snowflake, Dimensional Modeling for Enterprise Data Warehouse. • Should familiar with Data Warehouse Design processes , ETL Design techniques and BI reporting capabilities. Extensive working experience in doing ETL with - Teradata/Exadata/SQL server/ Oracle/SAP Hana/Hadoop. • Good Analytical skills and ability to work in a time-constrained and team-oriented environment • Ability to provide and present multiple Data Model design solutions • Rational Thinker Desirable Technical Skills : Teradata, Hadoop, Mainframe Mandatory Functional Skills : ETL Total Experience Required : 10 Years Additional Information Contact "Mohit Maurya " for more details at ************ Ext:141

Description & Requirements Maximus is looking for an experienced Data Architect to lead the design and implementation of modern, scalable DevOps solutions. In this role, you'll drive automation, containerization, and continuous delivery practices across enterprise systems. If you're a technical expert with a passion for innovation, collaboration, and building high-performing environments, join us and help shape the future of digital transformation. ***This is a fully remote position. Requires 10% travel. 100% mileage reimbursed at federal rate*** Why Join Maximus? - • Competitive Compensation - Quarterly bonuses based on performance included! - • Comprehensive Insurance Coverage - Choose from various plans, including Medical, Dental, Vision, Prescription, and partially funded HSA. Additionally, enjoy Life insurance benefits and discounts on Auto, Home, Renter's, and Pet insurance. - • Future Planning - Prepare for retirement with our 401K Retirement Savings plan and Company Matching. - • Unlimited Time Off Package - Enjoy UTO, Holidays, and sick leave, - • Holistic Wellness Support - Access resources for physical, emotional, and financial wellness through our Employee Assistance Program (EAP). - • Recognition Platform - Acknowledge and appreciate outstanding employee contributions. - • Tuition Reimbursement - Invest in your ongoing education and development. - • Employee Perks and Discounts - Additional benefits and discounts exclusively for employees. - • Maximus Wellness Program and Resources - Access a range of wellness programs and resources tailored to your needs. - • Professional Development Opportunities- Participate in training programs, workshops, and conferences. Essential Duties and Responsibilities: - Define, develop, and implement the configuration management system which supports the enterprise software development life cycle (SDLC). - Manage source code within the Version Control System (branching, sync, merge, etc.), compile, assemble, and package software from source code; mentor less senior team members in this discipline. - Work with client to perform and validate installations, upgrades, deployments, and containers. - Define and provide guidance on standards and best practices. - Develop automation scripts for build, deployment, and versioning activities; mentor less senior team members in this discipline. - Research and resolve technical problems associated with the version control and continuous integration systems. - Typically responsible for providing guidance, coaching, and training to other employees within job area. Minimum Requirements - Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience. -Database management experience preferred - M.M.I.S. experience preferred - Data conversion experience preferred -Technical leadership experience preferred -Technical oversight experience preferred #HumanServices #LI-Remote EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccommodations@maximus.com. Minimum Salary $ 150,000.00 Maximum Salary $ 175,000.00

Business Data Scientist I (WMBJP00002563) Tulsa, OK hold Experience level: Associate Experience required: 3 Years Education level: Bachelors degree Job function: Information Technology Industry: Oil & Energy Pay rate : View hourly payrate Total position: 1 Visa sponsorship eligibility: No Job Description As a Business Data Scientist I, you will assist with building sophisticated models, generating insights, applying artificial intelligence and business intelligence reporting to assist in identifying business opportunities. You'll work with market intelligence partners across the business to develop appropriate solutions. An understanding of programming language, a curiosity for problem solving and a process improvement approach are keys to success! Your work will challenge you, and with our Core Values to guide you, youll quickly learn and grow with us. Responsibilities/Expectations: Develops, implements, and supports business intelligence reporting and advanced analytical model development, architecture, data availability and data models Creates scalable, efficient, and automated processes for large scale data analyses, model development, model validation, and model implementation Streamlines user interfaces and data visualization tools to make data analyses more effective and accessible Assists with the development of descriptive, predictive and/or prescriptive statistical models to solve business problems Works with large data sets in a hybrid cloud environment across multiple source systems, machine learning, artificial intelligence and other advanced statistical methods Work with other internal partners to develop data solutions Other duties as assigned Required Qualifications Bachelors degree in information technology, Engineering, Business or related 2 (two) years' experience supporting database development, data analytics and/or experience in the natural gas industry Power platform skills specifically building power applications, power pages and power automation

REMOTE / FULL TIME Amira Learning accelerates literacy outcomes by delivering the latest reading and neuroscience with AI. As the leader in third-generation edtech, Amira listens to students read out loud, assesses mastery, helps teachers supplement instruction and delivers 1:1 tutoring. Validated by independent university and SEA efficacy research, Amira is the only AI literacy platform proven to achieve gains surpassing 1:1 human tutoring, consistently delivering effect sizes over 0.4. Rooted in over thirty years of research, Amira is the first, foremost, and only proven Intelligent Assistant for teachers and AI Reading Tutor for students. The platform serves as a school district's Intelligent Growth Engine, driving instructional coherence by unifying assessment, instruction, and tutoring around the chosen curriculum. Unlike any other edtech tool, Amira continuously identifies each student's skill gaps and collaborates with teachers to build lesson plans aligned with district curricula, pulling directly from the district's high-quality instructional materials. Teachers can finally differentiate instruction with evidence and ease, and students get the 1:1 practice they specifically need, whether they are excelling or working below grade level. Trusted by more than 2,000 districts and working in partnership with twelve state education agencies, Amira is helping 3.5 million students worldwide become motivated and masterful readers. About this role: We are seeking a Data Scientist with expertise in the domain of reading science, education, literacy, and NLP; with practical experience building and utilizing Gen AI (LLM, image, and/or video) models. You will help to create Gen AI based apps that will power the most widely used Intelligent Assistant in U.S. schools, already helping more than 2 million children. We are looking for strong, education focused engineers who have a background using the latest generative AI models, with experience in areas such as prompt engineering, model evaluation; data processing for training and fine-tuning; model alignment, and human-feedback-based model training. Responsibilities include: * Design methods, tools, and infrastructure to enable Amira to interact with students and educators in novel ways. * Define approaches to content creation that will enable Amira to safely assist students to build their reading skills. This includes defining internal pipelines to interact with our content team. * Contribute to experiments, including designing experimental details and hypothesis testing, writing reusable code, running evaluations, and organizing and presenting results. * Work hands on with large, complex codebases, contributing meaningfully to enhance the capabilities of the machine learning team. * Work within a fully distributed (remote) team. * Find mechanisms for enabling the use of the Gen AI to be economically viable given the limited budgets of public schools. Who You Are: * You have a background in early education, reading science, literacy, and/or NLP. * You have at least one year of experience working with LLMs and Gen AI models. * You have a degree in computer science or a related technical area. * You are a proficient Python programmer. * You have created performant Machine Learning models. * You want to continue to be hands-on with LLMs and other Gen AI models over the next few years. * You have a desire to be at a Silicon Valley start-up, with the desire and commitment that requires. * You are able to enjoy working on a remote, distributed team and are a natural collaborator. * You love writing code - creating good products means a lot to you. Working is fun - not a passport to get to the next weekend. Qualifications * Bachelor's degree, and/or relevant experience * 1+ years of Gen AI experience - preferably in the Education SaaS industry * Ability to operate in a highly efficient manner by multitasking in a fast-paced, goal-oriented environment. * Exceptional organizational, analytical, and detail-oriented thinking skills. * Proven track record of meeting/exceeding goals and targets. * Great interpersonal, written and oral communication skills. * Experience working across remote teams. Amira's Culture * Flexibility - We encourage and support you to live and work where you desire. Amira works as a truly distributed team. We worked remotely before COVID and we'll be working remotely after the pandemic is long gone. Our office is Slack. Our coffee room is Zoom. Our team works hard but we work when we want, where we want. * Collaboration - We work together closely, using collaborative tools and periodic face to face get togethers. We believe great software is like movie-making. Lots of talented people with very different skills have to band together to build a great experience. * Lean & Agile -- We believe in ownership and continuous feedback. Yes, we employ Scrum ceremonies. But, what we're really after is using data and learning to be better and to do better for our teachers, students, and players. * Mission-Driven - What's important to us is helping kids. We're about tangible, measured impact. Benefits: * Competitive Salary * Medical, dental, and vision benefits * 401(k) with company matching * Flexible time off * Stock option ownership * Cutting-edge work * The opportunity to help children around the world reach their full potential Commitment to Diversity: Amira Learning serves a diverse group of students and educators across the United States and internationally. We believe every student should have access to a high-quality education and that it takes a diverse group of people with a wide range of experiences to develop and deliver a product that meets that goal. We are proud to be an equal opportunity employer. The posted salary range reflects the minimum and maximum base salary the company reasonably expects to pay for this role. Salary ranges are determined by role, level, and location. Individual pay is based on location, job-related skills, experience, and relevant education or training. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, military service, or any other status protected by law.

Objective of the Job This position focuses on problem solving by implementing actionable data-driven business solutions, predicting emerging trends, and providing recommendations to stakeholders through data analysis and modeling. Duties and Responsibilities Uphold high integrity while supporting Safety, Environmental, and Quality Systems. Identify business use cases in consultation with stakeholders, peers, and supervisors. Analyze data requirements, create models, and provide solutions (combination of ML and Analytics). Document processes and mentor team members. Participate in setting up an analytics platform for Self-Service Analytics. Qualifications Bachelors degree in computer science, engineering, or a related field; masters degree preferred. Minimum of 2 years of experience in Analytics and the use of Machine Learning algorithms. Demonstrated ability with visualization tools, ML frameworks, and related technologies. Entrepreneurial drive with the ability to deliver projects on time. Strong aptitude for learning new technologies and analytics techniques. Working Conditions and Physical Requirements Ability to work onsite or remotely from Arkansas, Tennessee, Texas, or Mississippi, with occasional onsite visits as needed. Supervisory Responsibility This position does not supervise others; however, the scope of the role may change as the organization grows. Working Place: Osceola, Arkansas, United States Company : 2025 OCt 16th Virtual Fair - US Steel

Objective of the Job: This position focuses on problem solving by implementing actionable data-driven business solutions, predict emerging trends, providing recommendations to stakeholders by analyzing and modelling a vast variety of data. Duties and Responsibilities: 1) Upholds a high integrity for BRS Systems while supporting Safety, Environmental & Quality Systems 2) Identify business use cases in consultation business stake holders, peers and superiors. 3) Analyze data requirements, create models and provide solutions (combination of ML and Analytics) 4) Document the processes and mentor others in the team. 5) Participate in setting up an analytics platform for Self Service Analytics. Qualifications: 1) Bachelor's degree in computer science or engineering or related field; master's degree preferred. 2) Must have minimum 2 years of experience in Analytics and use of Machine Learning Algorithms. 3) Demonstrated ability in Visualization tools, ML Frameworks, and other related topics. 4) Entrepreneurial drive, with demonstrated ability to deliver projects on time 5) Strong aptitude for learning new technologies and analytics techniques Working Conditions and Physical Requirements: This position requires the ability to work on site or remote from the states of Arkansas, Tennessee, Texas , or Mississippi with occasional on-site visit as needed. Supervisory Responsibility: This position does not supervise others - the scope of the role may change as time progresses and organization grows.

Who we are: At Arkana Laboratories, everyone has an important role to fill. Come join us and be a part of a team dedicated to making life better for those who need it most. This place is packed with super-smart people who do their best work together. We work hard every day to advance our understanding of disease and provide world-class care to our patients in hopes of leaving our corner of the world a little better than we found it. While we are committed to improving the lives of thousands of patients, we never lose sight of the realization that they are the reason we get to create change in our field. Built on generosity, teamwork, and the freedom to try new things, we take great pride in our work. Great ideas come from everywhere in this company and we celebrate each success and failure for the opportunity it gives us to keep reaching. For more than twenty years after our founder, Dr. Patrick Walker, wrote his goals on the back of a napkin, our people, culture, and values have remained strong. About the position: As the Data Engineer will play a critical role in building and maintaining the technical foundation for our next-generation data platform. This position involves collaborating with our analytics team and backend developers to design, implement, and optimize data pipelines, data warehouse architecture, and integration processes that support analytics excellence. The engineer will work directly with structured and unstructured data sources to enable efficient reporting, analytics, and future machine learning capabilities, with special focus on our upcoming large external dataset integration project. What you'll do: Design, build, and maintain robust data pipelines to process structured and unstructured data from multiple sources Develop and manage comprehensive ETL/ELT workflows across various data systems using Azure-based tools and services Architect and accelerate the development of our data warehouse, focusing on scalable and efficient designs Implement data quality controls, validation processes, and lineage tracking to ensure data integrity Design and optimize data models that enable efficient analytics and reporting capabilities Develop data hygiene processes and identity resolution services for our upcoming large external dataset integration Collaborate with analytics team to translate business requirements into technical data specifications Partner with backend developers to ensure proper data flow between applications and data warehouse Implement and maintain data security measures and access controls to protect sensitive information Monitor data system performance and implement alerting mechanisms for critical data processing workflows Troubleshoot and resolve complex technical issues related to data processing and integration Develop and maintain technical documentation for data models, integration processes, and data dictionaries Optimize data processing performance and scalability to handle growing volumes of data Implement backup, disaster recovery, and data retention policies for critical data systems Research and evaluate new technologies and tools to improve data processing capabilities and efficiency Other duties as assigned You should have: Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field required; advanced degree preferred Experience: 2-5+ years of experience in data engineering with strong proficiency in Python and SQL for data processing and analysis Other Requirements: Extensive experience with Azure data services (Azure SQL, Azure Synapse Analytics, Azure Data Factory) Demonstrated success in data warehouse design, implementation, and optimization Experience with data orchestration and transformation tools such as Azure Data Factory, SSIS, dbt, or similar platforms Strong knowledge of data modeling techniques and dimensional design principles Experience with data quality management, master data concepts, and identity resolution Experience with version control systems (Git) and collaborative software development practices Experience with large-scale data integration projects preferred Strong analytical and troubleshooting skills for complex data issues Ability to work independently while collaborating effectively with cross-functional teams Knowledge of data governance frameworks and best practices preferred Experience in healthcare data domains is a plus Schedule: Monday-Friday 8am-5pm This is an onsite position at our main office in Little Rock, Arkansas, applicants must live within 1 hour drive of the main office in Little Rock. What we offer: We know that health is more than doctor visits and life is more than work. We work hard at Arkana but in turn provide competitive salaries and generous benefit offerings. Specifically, we offer the following benefits to full-time employees: Competitive salary Generous paid time off and Paid Holidays Minimal cost health insurance for you and affordable options for your family 401(k) with immediate eligibility and match Company-paid life insurance Company-paid long term disability coverage Affordable vision and dental plans Flexible Spending Account or Health Savings Account availability Wellness plan and complimentary yoga classes Monthly in-office massages and employer-sponsored lunches Please see Careers for further information.

The Data Engineer for the Financial Operations Group is primarily responsible expediting engineering solutions that enable data-driven decision-making across Life.Church's finance and staff operations functions. This role transforms raw financial and operational data from multiple sources into reliable, accessible formats for analysis and reporting. The Data Engineer collaborates closely with FP&A analysts, finance teams, and staff operations stakeholders to deliver targeted data solutions that support strategic planning, budgeting, and operational efficiency initiatives. The Data Engineer utilizes their skills to deliver technical outcomes that align with the direction of their team to further Life.Church's mission and to reach people for Christ. At Life.Church, we exist to lead people to become fully devoted followers of Christ. It's been our mission since 1996 and has guided us every day. Leading people isn't just an expectation; it's a necessity. It's a cornerstone of our culture. That's why we're always seeking leaders-leaders like you-to bring your skills to life. We are one church meeting in multiple locations, and we want to help you become the person God made you to be. What You'll Do Design and implement ETL pipelines and data processing workflows specifically for financial reporting, budgeting, payroll, and staff operations data. Optimize data integration between financial systems (accounting, payroll, giving tools, CRM) and analytical tools to ensure seamless data flow. Develop automated data processing solutions that expedite routine financial reporting, financial reconciliations, variance analysis, and operational metrics. Ensure data quality and consistency across financial and staff operations data sources through validation rules, alerts, data cleansing, and standardization processes. Implement and leverage organizational data governance initiatives to serve analysts and end users. Collaborate with organization-level database teams to define data requirements, ensure optimal performance for financial and operational reporting needs, maintain ETL pipelines and ensure data quality. Build predictive models and flexible forecasting tools for budgeting, revenue projections, and financial planning initiatives. Develop custom analytics solutions for expense analysis, giving trends, staff cost modeling, and operational efficiency metrics. Create automated reporting solutions that expedite monthly financial closes, budget variance reporting, and executive dashboards. Participate in the design and analysis of A/B tests for new programs and strategies. Support ad-hoc analysis by rapidly engineering data solutions for special projects, strategic initiatives, and executive requests. Skills Needed to Succeed Excellent verbal, written, and interpersonal communication skills to maintain relationships and partnerships Analytical and problem-solving skills Effective at multi-tasking and time management to meet strict deadlines while remaining flexible and open to change Clearly explain complicated and detailed processes in a concise and simple way Ability to self-motivate, take initiative, make independent decisions, and problem-solve Ability to collaborate in a team environment and work independently Strong programming skills, particularly in languages such as Python and SQL Cloud computing skills (Google Cloud) Familiarity with visualization tools such as Looker, Tableau, or Google Data Studio Bachelor's degree in a related field 1-3 years of related work experience Associate or professional google cloud certification preferred Benefits We Offer・ Paid parental leave, including maternity, paternity, and adoption leave.・ Generous employer-paid leave for the use of vacation, sick time, and other qualifying reasons. ・ Innovative and comprehensive Medical, Dental, and Vision insurance that provides team members with useful resources and savings to navigate their holistic health. ・ Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional life insurance coverage is available to purchase. ・ Short-Term and Long-Term disability is covered at 100% for full-time qualified staff members.・ Comprehensive wellness and mental health benefits allow staff to proactively invest in their physical and emotional health.・ Generous 401(k) retirement plan allowing a team member to have up to 12.5% (including employee contribution, employer match, and employer discretionary contribution) contributed into their account in their first year. It doesn't stop there-the more years on staff, the greater the investment! ・ $160 annually in development dollars for team members to invest in their professional growth. ・ Casual dress and work environment.・ And much more! Our Beliefs, Culture, and Commitment to DiversityAt Life.Church, every staff member, and intern is a minister and is expected to engage in the church's ministry fully. We consider ministry readiness and an individual's capacity to represent Life.Church's beliefs as a minister during the selection process for all staff and intern positions. An essential function within every position held by a staff member or intern at Life.Church is to uphold and represent the beliefs of Life.Church. Learn more about what we believe at Life.Church. While we unite around our mission, we know unity doesn't mean uniformity. Our calling is too great, and our mission is too important not to be intentional about strengthening our team through diversity. We know that diverse perspectives in race, ethnicity, background, age, and gender are essential to reaching the world for Christ. To learn more about how we strengthen our team through diversity, visit our careers page. All data collected in our application process, from resume collection to application questions, is used for recruitment purposes only.

The Metrology Engineer II will be responsible for developing and implementing precision measurement techniques, conducting calibration processes, and ensuring the accuracy and reliability of our measurement systems. Your expertise will play a crucial role in maintaining the highest standards of quality and precision across our manufacturing processes. This position will serve our US Air Division, located in Fort Smith, AR. Bachelors Degree in Mechanical Engineer or related degree 3+ years of experience in a Metrology Laboratory with a diversity of disciplines and capabilities (electrical, thermodynamic, mechanical pressure, Mass, Force and Weighing Device). Experience managing Calibration tracking software- Proficient using computers and major components of MS Office suite. Good verbal and written communication skills and effective interpersonal skills to engage with a team HOW TO STAND OUT: Experience in various electrical, thermodynamic, mass, pressure, liquid flow, and force disciplines. Ability to develop metrology measurement techniques and procedures. Strong experience calculating overall measurement uncertainties, including the identification to all contributing factors. Solid understanding of ISO/IEC 17025:2017. Strong math skills. Proficient using computers and major components of the MS Office suite. #LI-Hybrid #LI-LC1 Designs, establishes, analyzes, and revises systems for calibration and repair of physical/thermodynamic/mechanical and electrical test and measurement equipment. Works with technicians to resolve technical, procedural, logistical, and material problems with the calibration and repair of Test and Measurement Equipment and associated processes. Develops/revises calibration procedures to support new and changing requirements. Creates, analyzes, and revises parameter statistical measurement uncertainty analyses for maintenance of laboratory accreditation.

The Engineer - Deployment plays a critical role in transforming innovative technologies into real-world solutions. This position supports first-time deployments and/or leads complex enterprise rollouts to ensure successful deployments of Vaux solutions. The Engineer - Deployment collaborates with internal teams, third-party vendors, and customers to prepare facilities, configure systems, and deliver training that empowers customers to succeed. Responsibilities * Perform site mapping (LiDAR), facility layout planning, and network analysis. * Configure and troubleshoot AMRs, networks (Wi-Fi, LTE/5G, CBRS), and Vaux systems. * Support the customer by providing expertise during the installation and configuration of Vaux systems. * Implement policies, procedures, and workflows to support consistent application of practices and compliance regulations. * Deliver customized training and certification programs to customer stakeholders. * Document deployments in preparation to hand off to the long-term support team. * Demonstrate correct and safe equipment operation. * Work in a team setting to accomplish departmental goals. * Collaborate with Product teams to resolve potential issues/bugs and provide feedback on lessons learned. * Maintain a positive attitude in a highly intense environment. * Independently manage deployments for small to medium customer sites. * Other duties and projects, as assigned. Requirements Education: * Bachelor's Degree in Robotics, Engineering, or related field, preferred * Equivalent work experience in relevant technical field may also be considered. Experience: * 2 years of experience in deploying and/or supporting robotic systems. Computer Skills: * Proficient in Linux, Microsoft Office Suite, HTML, Confluence, and Jira. Additional Requirements: * Proven ability to diagnose and resolve complex technical issues, collaborate with cross-functional teams, and create clear technical documentation. * Excellent verbal and written communication skills. * Commitment to exceptional customer service, with the flexibility to participate in on-call rotations and adapt to changing priorities in a fast-paced environment. * Ability to understand and link related business requirements with corporate strategies and capabilities. Other Details Work Hours: * Generally, 8:00 am - 5:00 pm with occasional irregular hours depending on workload. Travel Requirements: * Moderate (50%-75%) Compensation: * This is a salary position paid biweekly. In accordance with the Equal Pay Transparency information, the pay range for this position is $68,000 - $85,000, will fluctuate based on location and experience. Subject to a market adjustment based on nationwide location. Applicants must be currently authorized to work in the United States and the employer will not sponsor applicants for work visas for this position. About Us ArcBest Technologies, ArcBest's tech and innovation team, provides custom-built solutions and leading-edge technologies that help our customers successfully navigate the complex supply chain landscape. The team is made up of highly engaged, creative tech and analytics professionals who create smart solutions that help keep the global supply chain moving. An Equal Opportunity Employer M/F/Vet/Disability

Job Description An Engineer is responsible for the day-to-day operations of the Engineering Department including electrical, plumbing, mechanical, and HVAC systems. He/she will assume operating aspects of the hotel for the Engineering department. QUALIFICATION STANDARDS Delivers the brand promise and provides exceptional guest service. Provides excellent service to internal customers as appropriate. Assist in developing and implementing plans to maintain property, equipment, grounds and other assets, in a safe and acceptable state of repair. • Conduct site inspections. • Perform preventive maintenance. • Respond to customer care calls of non-functioning equipment immediately. • Ensure that the hotel is in compliance with all local, state and federal laws. • Ensure that all emergency and life safety equipment and systems are inspected, tested and certified per hotel standards or authority having jurisdiction. • Actively participate in energy conservation programs per PAH's standards. • Review all Guest and Meeting Planner comment cards to ensure that problems are identified and corrected in a timely manner. • Ensure compliance with the Americans with Disabilities Act (ADA). • Assist with the administration of all vendor contracts controlled by the Engineering Department hotel standards. • Assist as necessary with special projects and renovations. • Repair and program hotel electronic lock system. • Assist in scheduling preventive maintenance tasks. • Performing other duties as assigned. Education & Experience: High school diploma, technical/vocational school preferred. Hotel experience preferred, but not required. Requires excellent communication skills, professional presentation, an ability to work in a team atmosphere and to make independent decisions. General knowledge of technical fields such as carpentry, painting, electrical, etc. Physical requirements: Flexible and long hours sometimes required. Heavy work - Exerting in excess of 100 pounds of force occasionally, and/or in excess of 50 pounds of force frequently and/or in excess of 20 pounds constantly to lift, carry, push, pull, or otherwise move objects.

Colorado Springs, CO; Dallas, TX; Denver, CO; Fayetteville, AR; Kansas City, MO; Lincoln, NE; Loveland, CO; Oklahoma City, OK; Omaha, NE; Overland Park, KS; Phoenix, AZ ** We are Olsson, a team-based, purpose-driven engineering and design firm. Our solutions improve communities, and our people make it possible. Our most meaningful asset is our people, and we are dedicated to providing an environment where they can continue to learn, grow, and thrive. Our entrepreneurial spirit is what has allowed us - and will continue to allow us - to grow. The result? Inspired people, amazing designs, and projects with purpose. **Job Description:** As a Project Engineer on the Water Resources team, you will provide various engineering and project management duties related to hydrologic/hydraulic analysis for Class I Railroad projects. You will assist with developing the project scope and schedule, prepare technical reports, review CAD drawings, and obtain local, state, and federal permits for water resources related projects. Travel is required to job sites for field reconnaissance in all types of terrain and weather conditions. **You are passionate about:** + Working collaboratively with others + Having ownership in the work you do + Using your talents to positively affect communities **You bring to the team:** + Strong communication skills. + Ability to contribute and work well on a team. + Bachelor's Degree in engineering. + Must be a registered professional engineer. + Minimum 5 years of related water resource engineering experience. + Experience with AutoCAD, MicroStation, GIS, HEC-RAS, HEC-HMS or other related hydrologic and hydraulic software is preferred. \#LI-AF1 **Additional Information** Olsson is a nationally recognized, employee-owned firm specializing in planning and design, engineering, field services, environmental, and technology. Founded in 1956 on the very mindset that drives us today, we're here to improve communities by making them more sustainable, better connected, and more efficient. Simply put, we work to leave the world better than we found it. As an Olsson employee, you'll receive our traditional benefits package (health care, vision, dental, paid time off, etc.), plus you'll: + Engage in work that has a positive impact on communities + Receive an excellent 401(k) match + Participate in a wellness program promoting balanced lifestyles + Benefit from a bonus system that rewards performance + Have the possibility for flexible work arrangements **Please note:** The benefits listed above apply to full-time employees. If you're applying for an internship, you can learn more about internship-specific offerings and experiences at Olsson by visiting ********************************** . Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants' personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the "CCPA"), this notice explains Olsson's practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Noticehere (************************************** . Create a Job Alert Interested in building your career at Olsson? Get future opportunities sent straight to your email.

[What the role is] Software engineer to support the development of CaseCentral 2nd phase [What you will be working on] We are seeking a talented and experienced Quality Engineer with a passion for automating testing processes to join our dynamic team, focusing on testing Saas-based (e.g. Salesforce) applications for enterprise and government solutions. The ideal candidate will have a strong foundation in SaaS testing methodologies and experience with enterprise platforms and DevOps. You will ensure the quality and reliability of government Saas-based (e.g. Salesforce) applications through comprehensive testing strategies and automation. You will be developing automated testing frameworks, conducting performance testing, and maintaining security compliance as well as integrating testing into CI/CD pipelines and collaborating with engineering teams to optimize test coverage and identify automation opportunities. You will work within an agile development team at the Ministry of Social and Family Development (MSF) to modernise and develop CaseCentral, a case management platform. Your responsibilities include: Test Automation: * Develop and maintain robust test automation frameworks (e.g. Playwright) for Saas-based (e.g. Salesforce) applications. * Create and execute automated test scripts for web-based SaaS (e.g. Salesforce) applications * Collaborate with engineering teams to optimise test coverage and identify automation opportunities * Analyse test results and provide detailed defect reports * Ensure test compatibility with Saas-based (e.g. Salesforce) platform updates Quality Assurance: * Design and implement comprehensive test strategies for enterprise and government SaaS applications * Conduct end-to-end testing of Saas-based (e.g. Salesforce) integrations * Validate application functionality across different Salesforce environments * Ensure compliance with government and enterprise security standards Performance Testing: * Conduct performance testing to identify and address bottlenecks for Salesforce-based SaaS applications * Analyse performance metrics and provide optimization recommendations * Test application behaviour under various load conditions * Monitor and report on application performance in enterprise environments DevOps Integration: * Integrate test automation into CI/CD pipelines * Implement continuous testing practices * Implement continuous testing practices to ensure timely feedback and improve product quality. * Contribute to the development and maintenance of infrastructure as code (IaC) solutions. Test Planning and Execution: * Participate in test planning and estimation activities (includes security testing e.g. penetration testing, vulnerability assessments, compliance verification) * Execute manual tests as needed to supplement automated testing. * Collaborate with development team members to ensure effective test coverage across functional and security requirements [What we are looking for] Qualifications and Experience Required: * A strong background in Computer Science, Computer Engineering, Information Systems Management, Information Technology, or related disciplines. * Minimum 3 years of experience in Saas-based (e.g. Salesforce) application testing. * Proven experience in test automation development and execution with SaaS, enterprise or government solutions. * Experience with DevOps principles and practices. * Experience with agile development methodologies and experience working in Agile teams. * Strong programming skills in languages i.e. Java, Python. * Hands-on experience with test automation frameworks i.e. Playwright, Katalon, Selenium, JUnit * Familiarity with CI/CD tools (i.e. GitLab CI/CD) and cloud platforms (AWS) * Understanding of CRM systems, preferably Salesforce platform architecture and solutions * Knowledge of performance testing tools (JMeter, Gatling).