Data engineer jobs in Garland, TX

Title: Lead Data Scientist Duration: 12 month contract + extensions Required Skills & Experience 7+ years of experience as a Data Scientist Strong coding skills in Python (pandas, numpy, scikit-learn) and SQL. Experience with regression, elasticity estimation, clustering, and experimental validation. Comfort working with optimization outputs and constraints. Ability to wrangle data from cloud-based sources and iterate quickly with stakeholders. Job Description A retail client is hiring a Lead Data Scientist to join their Profit to Serve (PTS) initiative-a priority program driving scenario modeling and last-mile routing optimization to improve profitability and service. PTS is a foundational enabler in our AI strategy, connecting precision costing with automated insights and routing simulations. You'll work on-site in Plano, TX, partnering directly with transformation leaders to shape a high-impact initiative at the intersection of AI, data science, and operational excellence. If you love fast iteration, hands-on coding, and solving real-world business problems, this is your opportunity to make an impact at scale. What You'll Do • Build and iterate models for cost impact estimation, price elasticity, and routing optimization. • Design clustering approaches for route/service segmentation and validate optimization assumptions. • Translate ambiguous business questions into testable models and ship prototypes weekly. • Collaborate closely with business partners and data science leads to deliver reusable solutions.

Our client in Dallas, TX is looking to add a Sr. Data Solutions Architect to their team. This is a hybrid role. 2 days in the office each week. This is a full time role and not open to contract or C2C candidates. US Citizenship or Green Card Required About the Role Are you ready to help shape the future of enterprise intelligence? As a Senior Data Solutions Architect, you will lead the design and implementation of modern data platforms that solve complex business challenges. This role goes beyond traditional data engineering-it focuses on enabling intelligent automation, semantic understanding, and autonomous decision-making through technologies such as ontologies, knowledge graphs, NLP, agentic AI, and MCP frameworks. You will bridge business strategy and technical execution, creating scalable, secure, and intelligent data ecosystems that power advanced analytics and AI-driven transformation. What You'll Do Architect, build, and implement AI-ready data platforms, integrations, and application solutions across diverse technologies. Design and operationalize ontologies and knowledge graphs to support semantic data integration and contextual analytics. Integrate agentic AI frameworks to automate multi-step workflows and enhance decision-making. Own the end-to-end development of scalable ETL/ELT pipelines, data lakes, and data warehouses. Develop and maintain integrations across enterprise systems-including data lakes, data warehouses, and third-party APIs-ensuring performance, reliability, and consistency. Apply NLP techniques to extract insights from structured and unstructured data, enabling conversational and contextual analytics. Partner with stakeholders across departments to translate business needs into secure, scalable technical solutions. Collaborate with developers, data analysts/engineers, and external partners to deliver cross-functional data solutions. Define and maintain technical artifacts such as data flow diagrams, integration patterns, and metadata repositories. Ensure robust data governance, security, and compliance across all solutions. Stay current on emerging technologies and industry best practices. What You'll Need To be successful in this role, you should meet the following qualifications. Reasonable accommodations may be made for individuals with disabilities. Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. 10+ years of experience, including at least 3 years in data architecture or data product development. Demonstrated expertise in building data platforms and data products. Strong understanding of NLP, LLMs, and advanced analytics workflows. Hands-on experience with agentic AI systems and frameworks. Extensive experience with data modeling, integration patterns, and semantic technologies; exposure to ontologies and knowledge graphs is a plus. Knowledge of Master Data Management and data governance frameworks. Experience with BI and reporting tools. Deep familiarity with modern data platforms such as Snowflake, Databricks, or Azure Synapse. Proficiency in data modeling, metadata management, and orchestration tools. Excellent communication skills and the ability to lead collaborative initiatives. Experience working in agile environments and guiding cross-functional teams.

**1\. Role Overview**Mercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication - distinct from production ML engineering. **2\. Key Responsibilities** ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders **3\. Ideal Qualifications** ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights **4\. More About the Opportunity** ● Remote ● **Expected commitment: min 30 hours/week ● Project duration: ~6 weeks** **5\. Compensation & Contract Terms** ● $75-100/hour ● Paid weekly via Stripe Connect ● You'll be classified as an independent contractor **6\. Application Process** ● Submit your resume followed by domain expertise interview and short form **7.About Mercor** ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Our client is seeking a Senior Data Analytics Engineer (Customer Data) to join their team! This position is located in remote. Build, optimize, and maintain customer data pipelines in PySpark/Databricks to support CDP-driven use cases across AWS/Azure/GCP Transform raw and integrated customer data into analytics-ready datasets used for dashboards, reporting, segmentation, personalization, and downstream AI/ML applications Develop and enrich customer behavior metrics, campaign analytics, and performance insights such as: ad engagement, lifecycle metrics, retention Partner with Marketing, Sales, Product, and Data Science teams to translate business goals into metrics, features, and analytical data models Build datasets consumed by Power BI/Tableau dashboards (hands-on dashboard creation not required) Ensure high cluster performance and pipeline optimization in Databricks, including troubleshooting skewed joins, sorting, partitioning, and real-time processing needs Work across multiple cloud and vendor ecosystems such as: AWS/Azure/GCP; Hightouch or comparable CDP vendors Participate in the data ingestion and digestion phases, shaping integrated data into analytical layers for MarTech and BI Contribute to and enforce data engineering standards, documentation, governance, and best practices across the organization Desired Skills/Experience: 6+ years of experience in Data Engineering, Analytics Engineering, or related fields, including data modeling experience Strong Data Engineering fundamentals with the ability to design pipelines, optimize performance, and deliver real-time or near-real-time datasets Ability to deeply understand data, identifying gaps, designing meaningful transformations, and creating metrics with clear business context Understanding of how customer data moves through Customer Data Platforms (CDPs) and how to design pipelines that integrate with them Experience supporting Marketing, Customer Data, MarTech, CDP, segmentation, or personalization teams strongly preferred Hands-on experience required with: Databricks, PySpark, Python, SQL, Building analytics datasets for dashboards/reporting and customer behavior analytics or campaign performance insights Experience designing and implementing features that feed downstream AI or customer-facing applications Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position starting at $150-160,000+. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

About the Company As a Senior Data Solutions Architect, you'll own the design and implementation of modern data platforms that tackle sophisticated business problems. This role goes beyond traditional data engineering it's about enabling intelligent automation, semantic understanding, and autonomous decision-making through technologies like Ontology, Knowledge Graphs, NLP, Agentic AI, and MCP. You'll be the extension business strategy and technical execution, shaping scalable, secure, and intelligent data ecosystems that power sophisticated analytics and AI-driven transformation. About the Role As a Senior Data Solutions Architect, you'll own the design and implementation of modern data platforms that tackle sophisticated business problems. Responsibilities Build, develop, and implement modern AI-ready data architectures, integrations, and application solutions that span multiple platforms and technologies. Compose and operationalize ontologies and knowledge graphs to enable semantic data integration and contextual analytics. Integrate Agentic AI frameworks to automate multi-step workflows and decision-making. Own the development of scalable ETL/ELT pipelines, data lakes, and data warehouses. Develop and support integrations between enterprise systems including data lakes, warehouses, and third-party APIs ensuring performance, reliability, and data consistency. Apply NLP techniques to extract insights from structured & unstructured data and enable conversational analytics. Collaborate with collaborators across departments to translate business needs into technical requirements and scalable and secure technical solutions. Collaborate with other developers, data analysts/engineers, and vendors to deliver multi-functional solutions. Define and maintain artifacts, including data flow diagrams, integration patterns, and metadata repositories. Ensure data governance, security, and compliance across all solutions. Remain up to date in new and emerging technologies. Qualifications Bachelor's or Master's degree in computer science, Data Engineering, or related field. 10+ years of experience with at least 3 years' experience in data architecture, data products. Required Skills Proven expertise in building Data platforms & Data products. Solid understanding of NLP, LLMs, and advanced analytics workflows. Hands-on experience with Agentic AI systems and frameworks. Substantial experience with data modeling, integration patterns & semantic technologies. Exposure to Ontology & Knowledge Graph is a plus. An understanding of Master Data Management and Data Governance frameworks. Experience with BI/reporting tools. Deep familiarity with modern data platforms (Snowflake, Databricks, Azure Synapse). Experience with data modeling, metadata management, and orchestration tools. Excellent communication and collaborator leadership skills. Experience working in agile environments and leading multi-functional teams. Preferred Skills Exposure to Ontology & Knowledge Graph is a plus. Pay range and compensation package Full time Opportunity Equal Opportunity Statement Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce. Apply (by clicking the relevant button) after checking through all the related job information below. Work You'll Do As a Project Delivery Specialist I on the project, you will: Support a major digital transformation by enabling secure, automated deployments across multiple Salesforce environments, including Government Cloud Collaborate closely with developers, architects, and release managers to manage deployments using CI/CD tools like Azure DevOps or GitHub Actions Troubleshoot metadata and test failures, and optimize packaging strategies Core responsibilities include automating pipelines for static analysis and environment provisioning, improving Apex test coverage, documenting deployment processes, and aligning release patterns with DoD cybersecurity standards. The Team Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our Sales & Service offering designs and implements sales and service experiences, capabilities, and architectures required to bring customer strategies to life. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals. Qualifications Required: Bachelor's degree in Computer Science, Information Systems, or related field 3-5 years of Salesforce deployment experience using tools such as Salesforce CLI or Cumulus CI Must hold an Active Secret Security Clearance Expertise in metadata types and packaging, proficiency with Git, experience automating YAML pipelines Working knowledge of secure DevOps practices Excellent troubleshooting, documentation, and cross-team communication are essential Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future Ability to travel 20-50%, on average, based on the work you do and the clients and industries/sectors you serve Preferred: Familiarity with Salesforce Government Cloud, OmniStudio deployments, cloud integrations, and DoD environments is highly valued Salesforce certified (e.g., Salesforce Certified Technical Architect, Application Architect, System Architect) strongly preferred. Prior experience supporting federal agencies in the Washington, D.C. area. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. xevrcyc A reasonable estimate of the current range is $98,000 to $160,000. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation:

Team: Growth Reports to: Head of Growth About the Role We're looking for our first Growth Engineer(title and seniority are flexible) - someone who loves to ship fast, measure everything, and turn ideas into impact. You'll be the technical engine behind our growth initiatives, transforming experiments into production-ready code, ensuring reliable tracking, and helping the team move 10× faster without depending on the core product roadmap. You'll collaborate across Growth, Marketing, Product, and Engineering to improve how customers discover, sign up for, and engage with Our Startup's products. One week you might launch a new checkout flow test; the next, you could be debugging analytics events in Amplitude or building an internal dashboard that uncovers key usage insights. If you're excited by the idea of solving growth challenges with code - and want to see your work directly move the needle - this role is for you. What You'll Do Run experiments end-to-end - design, build, and deploy A/B tests across web, checkout, and in-app experiences. Own our analytics stack - maintain accurate tracking in Amplitude, GA4, and ChartMogul; unify user identities; and ensure events flow cleanly across systems. Build growth infrastructure - develop the feature flags, frameworks, and tooling that make testing and iteration scalable. Analyze and optimize - use data to understand user activation, conversion, and retention; translate insights into actionable experiments. Personalize cross-platform experiences - build systems that connect usage patterns across products (e.g., identifying users who complete a key workflow and surfacing tailored recommendations). Move fast and own outcomes - prototype and test new landing pages, paywalls, onboarding flows, and growth ideas - validating each through clear, measurable impact. What You Might Also Work On Integrate new SDKs and analytics pipelines to expand our experimentation capabilities. Connect data from WooCommerce, ChartMogul, and Amplitude into unified dashboards. Automate QA, anomaly detection, and data validation for key growth metrics. Build reusable experiment templates and internal tools to enable self-serve growth experimentation across teams. Who You Are 3+ years of hands-on engineering experience (frontend, full-stack, or growth-focused). Fluent in JavaScript/TypeScript, with experience in React, Next.js, or similar frameworks. Comfortable working with analytics tools (Amplitude, GA4, Segment, etc.) and A/B testing frameworks. Strong grasp of experimentation and data analysis (lift, sample ratio mismatch, confidence intervals, etc.). You think in terms of speed, data, and impact - not just code elegance. You've owned A/B tests end-to-end and care deeply about clean, accurate data. You enjoy working closely with marketing and product teams - not just building, but understanding the “why” behind each initiative.

What's in this for you? We are a humble, hard-working, fun team charging after excellence and a vision to support our clients across the globe - all while investing in our culture and making datacenter Hawk a great place to work for us all. As a Senior Software Developer, you'll be responsible for helping us iterate our marketing site, custom built web-based platform, and API. In addition, the Senior Software Developer will help us build great solutions and push the envelope technically on how we solve customer problems. Job summary The Senior Software Developer is responsible for developing, implementing, and supporting enterprise level applications. The Senior Software Developer will work on all aspects of software development and legacy product support, including user interfaces, object-oriented coding, unit, and integration testing, troubleshooting software problems, and resolving software bugs. Primary duties and responsibilities Help support daily operations of team members to ensure we are consistently delivering high quality software that adheres to development and quality process and standards Work collaboratively to create, maintain, and enhance company products Perform unit and integration testing on new and modified code Work independently on high complexity designs and programs Collaborate with the project manager to identify future needs, develop strategy for overall scope, implementation of features for releases, implementation of requirements, and system documentation Provide technical expertise to identify, evaluate, and develop effective procedures and systems requirements that align with the business requirements Additional responsibilities Additional duties as assigned Critical competencies Ownership & Execution - Demonstrates a sense of ownership to drive issues to closure, maximizes the use of existing processes while continuously pursuing ways to improve efficiencies, sets aggressive goals, monitors progress, and delivers results, seizes more opportunities than others Customer-Centric - Works to understand customer pain points to effectively align technical solutions with customer's business, anticipate customer needs, and sets high standards for customer service Manages Ambiguity & Change - Makes decisions with available information that align with strategy, embraces and manages change, challenges the status quo and champions new initiatives, comfortably handles risk and uncertainty The individual Demonstrated knowledge of web technologies outlined above Ability to work independently and drive multiple initiatives simultaneously Understand the perspective of internal/external customers and team members Build and maintain open lines of communication to foster trust and rapport Effectively communicate ideas and concepts both verbally and in written documents Stay current in development technologies and practices Flexible and willing to accept a change in priorities as necessary Recent experience with Agile (Scrum) project methodologies Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the technical knowledge, skills, and/or abilities required. At least 5-8 years of hands-on experience with a combination of the following technologies: Programing Languages: Java, JavaScript, HTML, CSS, SQL Libraries & Frameworks: Spring (Java), Hibernate (Java), ArcGIS (optional but highly recommended), VueJS (optional but highly recommended) Servers: MySQL, Tomcat, Apache SCM: Git/Github Available to work in the Dallas, TX office full-time.

*****************SDET Required*************** THIS IS NOT A C2C REQUIREMENT ONLY W2 CANDIDATES GC, H4 AD & USC are encouraged to apply Long Term Contract Job description: Software Development Engineer in Test (SDET) with extensive experience in Test Automation to be a part of a highly talented engineering team, creating new products and services from the ground up for the next generation connected vehicles. We are looking for team members who are creative problem solvers passionate about new technologies, eager to wear multiple hats in a dynamic, innovative, and collaborative environment. Please note, this is not a remote position. Responsibilities: Maintain and expand automated test infrastructure of an embedded software product · Partner with developers to create, maintain and execute automated unit, integration and functional tests Translate user stories into test scenarios and cases and provide feedback to ensure testability of all stories Write, execute and maintain end-to-end system integration scenarios and user acceptance scenarios for the large-scale platform · Create and execute story validation tests in an Agile environment Work with Product owners and users to create and execute user tests · Collaborate with other business groups and external teams for end-to-end integration Collaborate with DevOps to integrate the automated tests in the CI/CD pipelines Ensure functionality remains consistent across multiple spoken languages · Modify existing code to support project requirements Engage in code reviews alongside more experienced developers to receive valuable feedback Perform detailed reviews of merge requests from both a test and developer perspective Create and update technical documentation, including code comments, user guides, and documentation for APIs or libraries Assist in estimating the scope and time required for tasks, contributing to project planning and management Required Qualifications: 3+ years of software engineering experience creating and executing automated tests Experience working with Linux/Unix/MacOS based systems Experience testing back-end services and/or API's Experience with a scripting language (Python, Ruby, JavaScript, PHP, Bash, or Powershell) Experience with a strongly typed programming language (Rust, Go, C, C++, C#, Java, or Python) Experience with test automation and an automation framework Experience with CI/CD and updating build pipelines and pipeline tasks · Experience in estimation, prioritization, and planning/coordination of testing activities in an Agile environment Familiar with systems like Jira or similar for tracking purposes and ensuring traceability among test cases, code, and requirements You are not afraid to spend time performing manual tests yet have the urge to automate those as efficiently as possible Strong desire to continually improve test automation capabilities using current and emerging technologies Hands on experience applying current best practices and principles in software development Demonstrates problem-solving, troubleshooting, decision making skills · Solutions-oriented with an ability to keep an open mind while finding agreeable solutions Organized and detail-oriented Ability to develop healthy working relationships and collaborate with peers and leaders · Exhibits integrity and high standards in work quality · Excellent verbal and written communication skills Values diversity and differences amongst individuals in interactions We think the knowledge acquired earning a degree in Computer Science or similar engineering discipline would be of great value in this position, but if you're smart and have the experience that backs up your abilities, for us, talent trumps degree every time.

HCLTech is looking for a highly talented and self- motivated [Senior Developer] to join it in advancing the technological world through innovation and creativity. Job Title: [Senior Developer} Position Type: Full-time Location: Dallas, TX Role/Responsibilities Core Skills & Experience: Programming Languages: Python, Java, C++ Solid understanding of AI / ML concepts Knowledge of database fundamentals and MySQL Cloud experience (AWS, Azure, or GCP) Linux Expertise: RedHat Enterprise Linux Strong verbal communication and technical writing skills Flexible mindset with persistence and strong work ethic What you'll do We are seeking an Entry-Level Software Delivery Engineer who combines strong Computer Science academic experience in AI/ML with foundational software development skills. This role is ideal for candidates who understand the principles and purpose of AI/ML and can apply that knowledge to telecom application development and testing Education Requirements: Degree: Computer Science with strong GPA Academic experience in Artificial Intelligence (AI) and Machine Learning (ML) Pay and Benefits Pay Range Minimum: $90000 per Year Pay Range Maximum: $ 120000 Per Year HCLTec is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to ****************** for investigation. A candidate's pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year How You'll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

At ServiceLink, we believe in pushing the limits of what's possible through innovation. We're looking for a high-achieving AI enthusiast to lead ground-breaking initiatives that redefine our industry. As our Principal Data Scientist, you'll harness cutting-edge technologies-from advanced machine learning and deep learning to generative AI, Large Language Models, and Agentic AI-to create production-ready systems that solve real-world challenges. This is your opportunity to shape strategy, mentor top talent, and turn ambitious ideas into transformative solutions in an environment that champions bold thinking and continuous innovation. Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future. A DAY IN THE LIFE In this role, you will… Transform complex business challenges into innovative AI solutions that leverage deep learning, LLMs, and autonomous Agentic AI frameworks. Lead projects end-to-end-from ideation and data gathering to model design, fine-tuning, deployment, and continuous improvement using full MLOps practices. Collaborate closely with business stakeholders, Data Engineering, Product, and Infrastructure teams to ensure our AI solutions are powerful, secure, and scalable. Drive both research and production by designing experiments, publishing state-of-the-art work in high-impact journals, and protecting strategic intellectual property. Mentor and inspire our next generation of data scientists, sharing insights on emerging trends and best practices in AI. WHO YOU ARE You possess … A visionary leader with an advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related field, backed by 10+ years of progressive experience in AI and data science. A technical powerhouse with a solid track record in statistical analysis, machine learning, deep learning, and building production-grade models using transformer architectures and Agentic AI systems. Proficient in Python-and comfortable with other modern programming environments-armed with real-world experience in cloud platforms (preferably Microsoft Azure) and end-to-end AI development (CRISP-DM and ML-Ops). An exceptional communicator who can distill complex technical ideas into strategic insights for diverse audiences, from the boardroom to the lab. A proactive problem solver and collaborative team player who thrives in a fast-paced, interdisciplinary setting, ready to balance innovative risk with practical execution. Responsibilities Strategize with leadership and stakeholders to align AI innovations with business objectives-identifying risks, seizing opportunities, and driving measurable outcomes. Architect and lead the development of next-generation AI solutions, with a special focus on Agentic AI, deep learning models, and transformer-based LLMs. Build automated MLOps pipelines to ensure continuous integration, deployment, and monitoring of models across diverse data environments. Act as both a thought leader and an active contributor-publishing in high-impact journals, representing ServiceLink at industry events, and safeguarding our IP. Collaborate cross-functionally to ensure our AI systems are secure, scalable, and cost-effective, continuously refining them based on rigorous performance metrics Mentor and empower your peers, fostering a culture of innovation, resilience, and learning. All other duties as assigned. Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related quantitative discipline, backed by 10+ years of relevant industry experience. Demonstrated expertise in Python and practical experience deploying advanced ML/AI solutions-including deep learning, LLMs, and Agentic AI-in production environments. Proficiency with modern cloud platforms (preferably Microsoft Azure) and a proven record of operationalizing AI via MLOps best practices. Strong ability to balance innovation with practicality, evaluating technical capabilities versus business and cost considerations. Excellent communicator with a knack for translating intricate technical strategies into clear, actionable plans. A collaborative mindset with a history of mentoring teams and building high-impact technology solutions. We can recommend jobs specifically for you! Click here to get started.

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers. Join HCSC and be part of a purpose-driven company that will invest in your professional development. **Job Summary** This position is responsible for providing advanced mathematical and statistical methods to solve business problems. Data Scientists collect, integrate and analyze data from sources related to health status and outcomes for our members, characteristics of health care providers, internal business processes, and other domains. Data Scientists perform complex statistical analysis on experimental or business data to validate and quantify trends or patterns identified by business analysts. Data Scientists use machine learning and probabilistic modeling to construct predictive algorithms to support data analysis or product functions; they verify model and algorithm effectiveness based on real-world results. Data Scientists design experiments and methodologies to generate and collect data for business use. Data Scientists create visualizations, interactive analytical applications and interpretive artifacts to support business application of data science findings. **Required Job Qualifications:** + Bachelor's degree and 1 year of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Actuarial credential; OR Master's degree in an advanced mathematical, statistical, computer science, engineering, physics, economics or related quantitative field without experience; OR 5 years experience in an advanced mathematical, statistical, computer science, engineering, physics, economics or related quantitative field. + Learning and growth mindset. + Customer focus + Interpersonal, verbal and written communication skills. + Experience in at least four of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare. **Preferred Job Qualifications:** + Master's or Ph.D. in a quantitative field, or bachelor's degree with significant healthcare experience. **Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!** **Pay Transparency Statement:** At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting ************************************* . The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plan subject to the terms and the conditions of the plan. **HCSC Employment Statement:** We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics. **Base Pay Range** $69,200.00 - $146,700.00 Exact compensation may vary based on skills, experience, and location. **Join our talent community and receive the latest HCSC news, content, and be first in line for new job opportunities.** **Join our Talent Community. (******************************************** PA8v\_eHgqFiDb2AuRTqQ)** For more than 80 years, HCSC has been dedicated to expanding access to high-quality, cost-effective health care and equipping our members with information and tools to make the best health care decisions for themselves and their families. As an industry leader, HCSC also has been helping to make the health care system work better for all Americans. To remain a leader, we offer compelling careers that encourage resourcefulness, strategic thought and empower you to make a difference in the lives of our members and their communities. Today, with the industry at an important crossroad, HCSC is reimagining health care and looking for original thinkers who aren't afraid to make innovative contributions. We are an Equal Opportunity Employment employer dedicated to workforce diversity and a drug-free and smoke-free workplace. Learn more about HCSC, our commitment to our members and the opportunity you'll have to improve health care delivery in an open, collaborative environment. HCSC is committed to diversity in the workplace and to providing equal opportunity to employees and applicants. If you are an individual with a disability or a disabled veteran and need an accommodation or assistance in either using the Careers website or completing the application process, you can call us at ************** to request reasonable accommodations. Please note that only **requests for accommodations in the application process** will be returned. All applications, including resumes, must be submitted through HCSC's Career website on-line application process. If you have general questions regarding the status of an existing application, navigate to "candidate home" to view your job submissions. Blue Cross and Blue Shield of Illinois, Blue Cross and Blue Shield of Montana, Blue Cross and Blue Shield of New Mexico, Blue Cross and Blue Shield of Oklahoma, and Blue Cross and Blue Shield of Texas, Divisions of Health Care Service Corporation, a Mutual Legal Reserve Company, and Independent Licensee of the Blue Cross and Blue Shield Association © Copyright 2025 Health Care Service Corporation. All Rights Reserved.

About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About the Role Gap Inc. is seeking a Principal Data Scientist with deep expertise in operations research and machine learning to lead the design and deployment of advanced analytics solutions across the Product-to-Market (P2M) space. This role focuses on driving enterprise-scale impact through optimization and data science initiatives spanning pricing, inventory, and assortment optimization. The Principal Data Scientist serves as a senior technical and strategic thought partner, defining solution architectures, influencing product and business decisions, and ensuring that analytical solutions are both technically rigorous and operationally viable. The ideal candidate can lead end-to-end solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels. What You'll Do * Lead the framing, design, and delivery of advanced optimization and machine learning solutions for high-impact retail supply chain challenges. * Partner with product, engineering, and business leaders to define analytics roadmaps, influence strategic priorities, and align technical investments with business goals. * Provide technical leadership to other data scientists through mentorship, design reviews, and shared best practices in solution design and production deployment. * Evaluate and communicate solution risks proactively, grounding recommendations in realistic assessments of data, system readiness, and operational feasibility. * Evaluate, quantify, and communicate the business impact of deployed solutions using statistical and causal inference methods, ensuring benefit realization is measured rigorously and credibly. * Serve as a trusted advisor by effectively managing stakeholder expectations, influencing decision-making, and translating analytical outcomes into actionable business insights. * Drive cross-functional collaboration by working closely with engineering, product management, and business partners to ensure model deployment and adoption success. * Quantify business benefits from deployed solutions using rigorous statistical and causal inference methods, ensuring that model outcomes translate into measurable value * Design and implement robust, scalable solutions using Python, SQL, and PySpark on enterprise data platforms such as Databricks and GCP. * Contribute to the development of enterprise standards for reproducible research, model governance, and analytics quality. Who You Are * Master's or Ph.D. in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics, or a closely related quantitative discipline. * 10+ years of experience developing, deploying, and scaling optimization and data science solutions in retail, supply chain, or similar complex domains. * Proven track record of delivering production-grade analytical solutions that have influenced business strategy and delivered measurable outcomes. * Strong expertise in operations research methods, including linear, nonlinear, and mixed-integer programming, stochastic modeling, and simulation. * Deep technical proficiency in Python, SQL, and PySpark, with experience in optimization and ML libraries such as Pyomo, Gurobi, OR-Tools, scikit-learn, and MLlib. * Hands-on experience with enterprise platforms such as Databricks and cloud environments * Demonstrated ability to assess, communicate, and mitigate risk across analytical, technical, and business dimensions. * Excellent communication and storytelling skills, with a proven ability to convey complex analytical concepts to technical and non-technical audiences. * Strong collaboration and influence skills, with experience leading cross-functional teams in matrixed organizations. * Experience managing code quality, CI/CD pipelines, and GitHub-based workflows. Preferred Qualifications * Experience shaping and executing multi-year analytics strategies in retail or supply chain domains. * Proven ability to balance long-term innovation with short-term deliverables. * Background in agile product development and stakeholder alignment for enterprise-scale initiatives. Benefits at Gap Inc. * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. * One of the most competitive Paid Time Off plans in the industry.* * Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.* * Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* * Employee stock purchase plan.* * Medical, dental, vision and life insurance.* * See more of the benefits we offer. * For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

Who we are Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're looking for talented team members who want to Dream. Do. Grow. with us. An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company- delivering on Toyota's vision to move people beyond what's possible. At TFS, you will help create best-in-class customer experience in an innovative, collaborative environment. To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time. This position is based in Plano, TX. Who We're Looking For Toyota Financial Services (TFS) Technology team is looking for a highly motivated person to fill the role of Consultant, Metadata Strategy & Data Cataloging. This role primarily serves as a Technology expert with deep expertise in Data Catalog & Metadata Specialist. It involves developing and maintaining the Metadata Management Strategy and Roadmap to drive long-term initiatives, align with enterprise data objectives, and improve data transparency, governance, and usability. What You'll Be Doing * Develop and manage the enterprise data catalog to ensure data is accurately described, classified, and accessible. * Define metadata standards and policies in collaboration with data governance teams. * Implement metadata strategy aligned with enterprise data goals and maintain practices that enhance discoverability and usability. * Oversee metadata initiatives to ensure consistency, governance, and integration across systems. * Capture and manage technical metadata from diverse sources; curate data assets for usability. * Maintain taxonomy, classification schemes, and metadata repository models for business and technical users. * Monitor metadata tools and ensure quality, consistency, and accuracy across platforms. * Support data lineage, traceability, and compliance efforts. * Collaborate with data stewards, IT, analytics, and business teams to align metadata with decision-making needs. * Train end users on metadata tools and best practices; assess evolving metadata needs. * Define and report on KPIs and KRIs to evaluate metadata process effectiveness. What You Bring * At least 8 years of experience in Data Governance and Data Enablement with a focus on metadata management and Data Cataloging. * Proven experience guiding and motivating cross-functional teams to build consensus among diverse stakeholders, including senior leadership * Hands-on experience with enterprise metadata management and data cataloging tools such as Collibra, Informatica CDGC or Alation. * Proven experience in designing and developing Tableau dashboards to enable enterprise-level scorecards. * Proficiency in database concepts, SQL, and scripting languages like Python for data manipulation and automation. * Knowledge of metadata standards (e.g., Dublin Core, RDF) and data governance frameworks (e.g., DAMA-DMBOK). * Familiarity with data privacy and security regulations, such as GDPR and CCPA. * Strong analytical and critical thinking skills to identify and resolve complex metadata-related issues. Added Bonus If You Have * Experience working to analyze data within data platforms like Snowflake, RDS, Postgress, Mongo, Dynamo Databases etc. * Strong understanding of Data Governance, Data Management principles and Data Stewardship. * Deep understanding of data modeling, data warehousing, data lake and data architecture principles. * Knowledge of any Data Modeling tools like Erwin Data Modeler, ER/Studio. What We'll Bring During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include: * A work environment built on teamwork, flexibility, and respect. * Professional growth and development programs to help advance your career, as well as tuition reimbursement. * Team Member Vehicle Purchase Discount. * Toyota Team Member Lease Vehicle Program (if applicable). * Comprehensive health care and wellness plans for your entire family. * Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute. * Paid holidays and paid time off. * Referral services related to prenatal services, adoption, childcare, schools, and more. * Tax advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA). Belonging at Toyota Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members' efforts to dream, do and grow without questioning that they belong. Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law. Have a question, need assistance with your application or do you require any special accommodations? Please send an email to *****************************.

⦁ Defines , creates and enhances database models for operational and reporting needs for specified domain. ⦁ Create , build, design database schemas to enable high throughput OLTP transactions ⦁ Code stored procs , packages, triggers using standard database patterns and ensure optimal performance and a secure codebase. ⦁ Troubleshoot and identify areas of improvement and recommend solutions to fix observed or potential issues with design, performance or security. ⦁ Ensures adherence to Enterprise data movement , quality and accountability standards in technology. ⦁ Conducts data driven analyses of usage of detailed data elements across the business domain to provide optimal data provisioning patterns across the application space. ⦁ Improving and streamlining processes regarding data flow and data quality to improve data accuracy, viability and value. Challenges data and information integrity. Works as a business partner that provides decision support to various LOB unit leaders. ⦁ Leads discussion in the ongoing development and operations of both operational data models and business intelligence architecture that enables fast real time access to data as well as fact-based decision making and ad hoc analysis and insight generation. ⦁ Operational Data Store modeling, design and development ⦁ Design and prototype new analyses, reports, applications and systems ⦁ Enhancing old processes and defining new ones ⦁ Data mining and producing novel reports for management ⦁ Works closely with Line of Business Client to develop and enhance SQL data base solution Salary Range- $125,000-$130,000 a year

At Lantern, our company culture stands as the bedrock of our success and a source of pride for our teams. We firmly believe that a culture founded on trust forms the basis for enduring relationships with clients, colleagues, and partners. Within this culture, we nurture an environment of respect, inclusion, and belonging, fostering collaboration among inspired teams. We prioritize the well-being of our colleagues, the success of our clients, and our positive impact on society. Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large. As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results. Senior Data & AI Consultant Position Summary We are seeking a Senior Consultant for our Data & AI practice to lead transformative digital initiatives powered by the Microsoft ecosystem. This role is ideal for someone with deep expertise across Microsoft Fabric, Power BI, Azure Synapse, Data Factory, and Dataverse, who can translate complex data challenges into strategic business outcomes. You will architect and implement modern data platforms, guide clients on AI readiness, and mentor teams on leveraging the full Microsoft stack to enable advanced analytics, data governance, and intelligent automation. Position Responsibilities Design and implement enterprise-grade data solutions using Microsoft Fabric, Azure Synapse Analytics, Data Factory, and Power BI, ensuring scalable, secure, and performant architectures. Develop robust ETL/ELT pipelines leveraging Dataflows, Notebooks, and Pipelines within Fabric, enabling unified data ingestion and transformation across diverse data sources. Build semantic data models and design data warehouses, lakes, and lakehouses for analytics, AI, and operational reporting. Deliver end-to-end Power BI solutions, from dataset modeling to DAX optimization and interactive visual storytelling. Provide strategic consulting on data modernization, AI enablement, and governance frameworks (e.g., Purview), aligning technical execution with business goals. Lead and mentor cross-functional teams, promoting best practices in data engineering, solution architecture, and Microsoft platform adoption. Act as a subject matter expert on the Microsoft Cloud Data Platform, staying current with updates across Fabric, Power BI, Synapse, and Azure OpenAI. Qualifications Bachelor's degree in Computer Science, Data Engineering, or a related discipline. 4+ years hands-on experience with the Microsoft Data & AI stack (Fabric, Power BI, Azure Data Factory, Synapse, SQL, Dataverse). Proven success designing and delivering modern data platforms within Microsoft environments, integrating structured and unstructured data for analytics and AI. Expertise in DAX, Power Query (M), T-SQL, and Python for advanced data modeling and transformation. Familiarity with Fabric's OneLake, Data Activator, and Copilot integrations for automating data insights. Experience implementing data governance and security via Microsoft Purview and Entra ID (Azure AD). Excellent communication and presentation skills, capable of translating technical concepts for non-technical audiences. Preferred Qualifications Microsoft Certified: Fabric Analytics Engineer Associate Microsoft Certified: Azure Data Engineer Associate Microsoft Certified: Power BI Data Analyst Associate Benefits A culture that both wows our customers and employees; Variety of challenging projects, and the ability to work with leading-edge technologies; Competitive salary & group benefits; Generous training and education opportunities; Diverse team social events; Be part of a team that believes in diversity, inclusion, and a fun atmosphere!

# Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - **Statistical Failure Analysis**: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - **Root Cause Analysis**: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - **Dimension Analysis**: Analyze performance variations across finance sub-domains, file types, and task categories - **Reporting & Visualization**: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - **Quality Framework**: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - **Stakeholder Communication**: Present insights to data labeling experts and technical teams ## Required Qualifications - **Statistical Expertise**: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - **Programming**: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - **Data Analysis**: Experience with exploratory data analysis and creating actionable insights from complex datasets - **AI/ML Familiarity**: Understanding of LLM evaluation methods and quality metrics - **Tools**: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

Our client is seeking an Azure Data Engineer to join their team! This position is located in Irving, Texas. THIS ROLE REQUIRES AN ONSITE INTERVIEW IN IRVING, please only apply if you are local and available to interview onsite. Duties: Lead the design, architecture, and implementation of key data initiatives and platform capabilities Optimize existing data workflows and systems to improve performance, cost-efficiency, identifying and guiding teams to implement solutions Lead and mentor a team of 2-5 data engineers, providing guidance on technical best practices, career development, and initiative execution Contribute to the development of data engineering standards, processes, and documentation, promoting consistency and maintainability across teams while enabling business stakeholders Desired Skills/Experience: Bachelor's degree or equivalent in Computer Science, Mathematics, Software Engineering, Management Information Systems, etc. 5+ years of relevant work experience in data engineering Strong technical skills in SQL, PySpark/Python, Azure, and Databricks Deep understanding of data engineering fundamentals, including database architecture and design, ETL, etc. Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position starting at $140-145,000+. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

Our client in Grapevine Texas is seeking a Flutter Mobile Developer to join their growing team. This role is 100% onsite. This is a full time role and not open to contract or C2C candidates. US Citizenship or Green Card Required Background We are seeking a talented Flutter Mobile Developer to join our in-house engineering team. Our organization manages a unique international dating platform that connects a global audience with a U.S.-based audience. The platform enables users to search for members, communicate through in-app letters, chat, photo albums, video messages, and video meetings. It also supports profile management, accounting, billing, and reporting functionalities. Additionally, the platform sends out a high volume of marketing and transactional emails to members. The development team supports this international dating platform and several related management systems. The team also develops a wide range of email capabilities to support user engagement and marketing initiatives. Our current solution includes older PHP-based code and multiple custom PHP frameworks, which are being progressively upgraded to PHP Symfony. We also maintain a mobile Android application built using Flutter as an additional client interface for our users. The app integrates with the main website through custom APIs, providing core platform functionality. While initial features are in place, we are actively working to expand and enhance the app to more closely align with the website's capabilities. In this role, you will be part of a small, collaborative mobile development team. You will help maintain and improve the current mobile application, resolve bugs, and develop new features. The mobile app is currently published on the Google Play Store. In parallel, we are developing a new dating application from the ground up, focusing on API-first development. This new solution will feature a React-based user interface and a modernized technology stack. A brand-new mobile app will be built for both iOS and Android platforms as part of this initiative. Our team follows an Agile methodology with daily stand-ups, sprints, and sprint planning sessions. The group includes developers, a project manager, system administrators, and a dedicated Quality Assurance (QA) team supporting the applications and infrastructure. The QA team performs testing and validation between the current site and mobile app, providing guidance on discrepancies and improvements. You will work closely with QA to debug, track, and resolve issues while ensuring consistency and reliability across features. The current technology stack supports a large, active user base with real-time chat, in-app messaging, search functionality, billing, and reporting. Requirements Candidates for this position should have experience in: Strong understanding of Flutter and mobile application development Working with APIs to send and receive data Publishing applications to the Google Play Store Agile development practices Effective teamwork and collaboration Developing and maintaining high-quality Flutter applications for both iOS and Android platforms Integrating and managing payment systems within mobile apps Collaborating with designers, backend developers, and product managers to implement features and enhance UX/UI Writing clean, maintainable, and scalable code following best practices Monitoring app performance and troubleshooting bugs, crashes, or bottlenecks Staying current with the latest Flutter releases, tools, and mobile development trends Participating in code reviews, testing, and deployment processes Working with Git and collaborative development workflows