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Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 60 health plans, including many of the top 20, and representing more than 160 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs. Why This Role Matters As a Data Engineer, you’ll be at the heart of transforming raw external data into powerful, trusted datasets that drive payment, product, and operational decisions. You’ll work closely with product managers, data scientists, subject matter experts, engineers, and customer teams to build, scale, and refine production pipelines — ensuring data is accurate, observable, and actionable. You’ll also play a critical role in onboarding new customers , integrating their raw data into our internal models . Your pipelines will directly power the company’s ML models, dashboards, and core product experiences . If you enjoy owning end-to-end workflows, shaping data standards, and driving impact in a fast-moving environment, this is your opportunity. What You’ll Do Design and implement robust, production-grade pipelines using Python , Spark SQL , and Airflow to process high-volume file-based datasets (CSV, Parquet, JSON). Lead efforts to canonicalize raw healthcare data (837 claims, EHR, partner data, flat files) into internal models . Own the full lifecycle of core pipelines — from file ingestion to validated, queryable datasets — ensuring high reliability and performance. Onboard new customers by integrating their raw data into internal pipelines and canonical models; collaborate with SMEs, Account Managers, and Product to ensure successful implementation and troubleshooting. Build resilient, idempotent transformation logic with data quality checks , validation layers , and observability . Refactor and scale existing pipelines to meet growing data and business needs. Tune Spark jobs and optimize distributed processing performance. Implement schema enforcement and versioning aligned with internal data standards. Collaborate deeply with Data Analysts, Data Scientists, Product Managers, Engineering, Platform, SMEs, and AMs to ensure pipelines meet evolving business needs. Monitor pipeline health, participate in on-call rotations , and proactively debug and resolve production data flow issues. Contribute to the evolution of our data platform — driving toward mature patterns in observability, testing, and automation. Build and enhance streaming pipelines (Kafka, SQS, or similar) where needed to support near-real-time data needs. Help develop and champion internal best practices around pipeline development and data modeling. What You Bring 4+ years of experience as a Data Engineer (or equivalent), building production-grade pipelines . Strong expertise in Python , Spark SQL , and Airflow . Experience processing large-scale file-based datasets ( CSV, Parquet, JSON, etc ) in production environments. Experience mapping and standardizing raw external data into canonical models . Familiarity with AWS (or any cloud), including file storage and distributed compute concepts. Experience onboarding new customers and integrating external customer data with non-standard formats. Ability to work across teams, manage priorities, and own complex data workflows with minimal supervision. Strong written and verbal communication skills — able to explain technical concepts to non-engineering partners. Comfortable designing pipelines from scratch and improving existing pipelines. Experience working with large-scale or messy datasets (healthcare, financial, logs, etc.). Experience building or willingness to learn streaming pipelines using tools such as Kafka or SQS . Bonus: Familiarity with healthcare data (837, 835, EHR, UB04, claims normalization). 🌱 Why Join Us Real impact — your pipelines will directly support decision-making and claims payment outcomes from day one. High visibility — partner with ML, Product, Analytics, Platform, Operations, and Customer teams on critical data initiatives. Total ownership — you’ll drive the lifecycle of core datasets powering our platform. Customer-facing impact — you will directly contribute to successful customer onboarding and data integration. We're hiring across multiple levels for this role. Final level and title will be determined based on experience and performance during the interview process. Equal Employment Opportunity at Machinify Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/

TOPPAN is seeking a detail-oriented and collaborative Master Data Management (MDM) Analyst to join our team The MDM Analyst will be responsible for the daily creation, maintenance, and management of information in support of Toppan’s Master Data Management and governance initiatives. This position will also serve as analytical support and subject matter expert of financial and operational master data. As part of Toppan’s MDM Team, this position will be an integral part of our initiatives that drive data as an asset through our business by having a continuous improvement mindset and supporting the establishment of standards and processes for data flows, governance, and control procedures. Together we aim to ensure the accuracy, integrity, and consistency of master data across our systems. What you’ll be doing: Responsible for maintaining and governing the integrity of the Master Data. Verify all required documentation is available and ensure efficient end to end record completion Drive standard practices for data collection, communication, and maintenance Own the item configuration and creation process for assigned operations Publish approved values to vendor price lists Work with category management to receive, and maintain accurate vendor pricing and lead time information Understands standard cost elements Execute the analysis and decision relating to creation, maintenance, and management of data in operational and financial ERP systems Ensure system synchronization Train on and support adherence to data standards and naming conventions across shared data systems Research, analyze, and consult as required to support data users across the organization Support, test, recommend solutions for technology enhancements which enable efficiency and productivity gains around data management and maintenance Recommend solutions and provide support for improved business processes around the shared administration of data Implement process mapping, business case development, workflow definition, and requirements definition around data management Execute governance and audit reviews around master data to ensure integrity and completion of data at operational levels. Generate reports to validate data governances. Other duties as assigned This position is based out of either our Hartsville, SC or Charlotte, NC office and 100% onsite. Some travel may be required We’d love to hear from you if: Minimum Four-year degree in Information Systems, Data Management, Business, Engineering, or related field 3-5 years experience in master data management preferred Green Belt and/or APICS certifications preferred Experience with ERPs – D365, Oracle, SAP, Radius Experience with master data maintenance, financial data maintenance, and/or manufacturing data is preferred Familiarity with SQL and/or VBA preferred Cross-functional experience Project management experience supporting data-related projects, with the ability to meet deadlines and deliver results. High level of accuracy and attention to detail in managing and analyzing data. Ability to understand and communicate complex topics based on logic and visual data connections Excellent analytical and problem-solving skills, with the ability to interpret complex data sets and identify trends and patterns Extensive knowledge of Excel and creating complex spreadsheets to analyze data Financial acumen, to include understanding the impact and interaction of cost components to the P&L Ability to make tough or controversial decisions Strong verbal and written communication skills, with the ability to effectively collaborate with stakeholders at all levels of the organization. This is a progression position and could be a level I -Level IV Compensation and progression level will be based on candidate’s experience and education, and current business needs.

Senior Data Architect The Company Wizeline is a global digital services company helping mid-size to Fortune 500 companies build, scale, and deliver high-quality digital products and services. We thrive in solving our customer’s challenges through human-centered experiences, digital core modernization, and intelligence everywhere (AI/ML and data). We help them succeed in building digital capabilities that bring technology to the core of their business. Your Day-to-Day IMPORTANT: This position is based in Beaverton, Oregon, and requires office attendance. Partner with information architecture to build logical/canonical, dimensional and physical data models for Databricks, Snowflake and Hive bigdata implementations to support data, BI Analytics and AI/ML products aligned with conceptual data models Work with product teams to define data sources by partnering with information and enterprise architecture. Work with product teams to define Key Performance Indicators and supporting data attributes and business rules Work with product teams to ensure data meets business requirements Optimize data designs and rationalize data objects across data products to reduce data redundancies and duplication Analyze existing data stores and interfaces to support current state and future data models Work with engineering squads to create physical data designs and business rule implementation Partner with enterprise data management and strategy on business glossary implementation and governance and stewardship Work with report developers to align dataset design with report design Partner with information architecture to provide feedback on conceptual models and review logical and physical data models Partner with information architecture on naming standards Provide data consistency across multiple scrum teams within a capability Facilitate data requirements elicitation and modeling sessions including use of interview, document analysis, workshops etc. Provide guidance and partner with squads by applying knowledge of data design Assist with the development and enforcement of data modeling standards Participate in data definition and data management reviews Partner with source system on new initiatives and enhancements Interface with transformational initiatives Partner with engineering and information architect on integrated/aggregated layer guidelines Establish and maintain processes to support and grow data modelling practices Are You a Fit? Sounds awesome, right? Now, let’s make sure you’re a good fit for the role. Must-have Skills Bachelor's degree in Business, Computer Science or equivalent 7+ years of experience working in technology, preferably in BI and Analytics 5 years' experience in Data Modelling and design 5 years of experience in data analysis, business analysis or system analysis Experience using CA Erwin or Hackolade other similar modelling tool Strong knowledge of relational and dimensional data modelling concepts Strong knowledge of data architecture and database structure Strong data analysis skills Strong SQL skills Experience with big data and cloud with Databricks & Snowflake is preferred Experience, interest and adaptability to working in an Agile delivery environment. Ability to work in a fast paced environment where change is a constant Ability to handle ambiguous requirements Exceptional interpersonal and communication skills (written and verbal) Self-motivated and collaborative About Us Wizeline prioritizes a culture of diversity and development for its nearly 2,000 person team spread across the globe. We believe great technology comes from a mix of talents and perspectives. Our core values of ownership, innovation, community, and inclusivity are central to our work. Wizeline is invested in its employees' growth, offering opportunities to create personalized career paths and develop in-demand skills. We even have a free education program, Wizeline Academy, to help both employees and the broader community upskill in tech. Apply now!

Job Family : Data Science Consulting Travel Required : Up to 10% Clearance Required : Ability to Obtain Public Trust What You Will Do : We are seeking a forward-thinking Senior Consultant to lead initiatives in Agentic AI, Generative AI, and advanced Data Science. This role will drive innovation in healthcare analytics and enterprise AI solutions, leveraging cutting-edge technologies to transform data into actionable intelligence. The ideal candidate will replace a technical leader who pioneered AI-driven workflows and generative modeling within our organization. Design and implement Agentic AI systems for autonomous decision-making and workflow optimization. Develop Generative AI applications for summarization, predictive modeling, and conversational interfaces. Build and maintain scalable data pipelines integrating structured and unstructured data. Apply advanced statistical and machine learning techniques to policy evaluation. Lead AI-driven projects in retrieval-augmented generation (RAG), prompt engineering, and knowledge graph integration. Collaborate with cross-functional teams to deliver AI-powered dashboards and insights. Mentor junior staff in AI methodologies and data science best practices. What You Will Need : US Citizenship is required Master’s degree is required Minimum FIVE (5) years of experience in AI and data analytics, including healthcare or enterprise data. Expertise in Python, R, and frameworks for AI/ML (e.g., TensorFlow, PyTorch). Hands-on experience with Generative AI models (LLMs, diffusion models) and Agentic AI architectures. Strong understanding of SQL and cloud-based data platforms. Ability to translate complex AI concepts into business solutions. Experience with RAG pipelines, vector databases, and knowledge graphs. What Would Be Nice To Have : Familiarity with AI governance, ethical AI practices, and compliance. Proficiency in visualization tools and interactive dashboards. Agile project management and sprint-based delivery. Prior experience in technology consulting The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer : Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Role Overview Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team who can bridge analytics and data foundations. In this role, you’ll not only analyze data to generate insights but also help connect and organize data from multiple sources—such as product analytics, marketing platforms, payments, and user systems—into a more complete and reliable view. We’re looking for practical solutions that help us move faster and make better decisions across the business. You will work closely with cross-functional teams to make sense of the data, establish facts and help us understand the market, the business, the customers and our product. Key Responsibilities - Collaborate with engineers to add, validate and maintain event tracking within React-based interfaces. - Improve data reliability by identifying and troubleshooting tracking issues that impact data integrity. - Partner with cross-functional teams to collect and shape business requirements into scalable data architecture and process improvements that enable cross-team integration, automation and efficient data flow. (eg. Google Ads, Meta ads, Payment systems, Amplitude, etc.) - Document data architecture, key components, and data flows to ensure clarity. - Collaborate across teams to query and analyze data from Amplitude and other SQL/NoSQL systems within our current data ecosystem. - Conduct product and marketing analyses (such as funnels, cohort analyses, and user segmentation) to uncover actionable insights. - Develop and monitor key metrics, including setting up automated dashboards and recurring reports. - Lead data initiatives and experimentation, defining measurement approaches and evaluating success. Required Qualifications - BA/BS degree or above in a related field or equivalent experience required. - 3+ years of work experience in data science, data analytics or other quantitative roles, with a track record of successfully delivering data analytics projects. - Experience with building and maintaining data pipelines and integrations across multiple systems (eg. Amplitude, Google Ads, Meta Ads, payment processors, CRM tools). - Experience with event tracking instrumentation and collaborating with engineering teams to validate and maintain analytics implementations. - Experience with handling real-time and historical data from the ground up, including data cleaning, data processing, analyzing, modeling, insights delivery and execution strategy. - Experience in data queries and statistical programming tools (SQL, R, Python, etc.) - Experience with product and marketing analytics and digital optimization tools (Amplitude, Google Analytics, etc.) - You have strong analytical and problem-solving skills, with a keen attention to detail. - You are a good communicator and can explain complex analyses using visualization and storytelling to both technical and non-technical audiences. - You are a self-starter who thrives in a start-up environment and has a strong follow-through. Preferred Qualifications - Experience with improving data pipelines, data storage and analytical frameworks. - Event tracking (eg. Javascript, Google tag manager) - Javascript and React. $90,000 - $130,000 a year Life at Thunkable Thunkable is on a mission to democratize app development and empower everyone to build without writing a single line of code. Our platform enables anyone to build and publish iOS and Android apps for free. Joining Thunkable means joining a team of passionate, entrepreneurial, and supportive people from diverse backgrounds united by shared values of Creativity, Openness, Transparency, Persistence, and Entrepreneurialism. What You’ll Get: - Competitive compensation, equity, and unlimited PTO - Health, wellness, and training budget - Global remote flexibility - The opportunity to directly influence the future of no-code and AI-driven app development We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Benefits: 401(k) 401(k) matching Bonus based on performance Senior Engineer – Azure Data Platform 📍 Location: Rockville, MD or Trevose, PA (On-site) 💼 Experience Level: Mid-Senior (10+ Years) 🎓 Education: Bachelor’s Degree Required 🔧 Job Function: Information Technology 🏢 Industry: IT Services 💲 Pay Rate: $65/hour (W2) 🚫 Visa Sponsorship: Not Available 🚫 Relocation Assistance: Not Available Job Summary: We are looking for a highly skilled Senior Engineer with extensive experience in the Azure data ecosystem to join a dynamic team. The ideal candidate will have a strong background in Azure Data Lake, Data Factory, Data Bricks, Synapse, and related technologies , along with proficiency in Python, Scala, and SQL . Key Skills Required: Azure Data Lake Gen1/Gen2 Azure Data Factory Azure Databricks Azure Data Warehouse (DWH) Azure Synapse Analytics Azure Key Vault Azure Active Directory Python, Scala, SQL Blob storage, Event Grid, ESB Azure SQL Server, Cosmos DB Azure Functions Power BI (mandatory) Preferred Candidate Profile: ✔ 10+ years of relevant IT experience ✔ Strong hands-on experience with Azure cloud data services ✔ Expertise in Spark clusters for processing streaming data ✔ Capable of working independently in a fast-paced, collaborative environment ✔ Experience in building scalable, secure data pipelines and analytics solutions ✔ Strong problem-solving and analytical skills Compensation: $60.00 - $65.00 per hour About Us We’re more than Software Company with a creative side. We’re a full-service creative studio with a serious technology background. We take a holistic view of sales and marketing, building digital brands that deliver real value to our client. As a marketing agency, our innovative digital strategies grab and hold people’s attention, and produce the communication and organizing tools needed for success. With a mix optimized to the specific goals of each client and the character of their target customer demographics, we provide true integration across media platforms and channels. Our Vision Inteletech Global, Inc provides consulting services to assist clients with their ongoing demand for changing IT environments. The early 2000s were an exciting time for IT. Digital technology was transforming our lives, and with each innovation, it became clear that digital was the future. We use our Global Delivery Model for the success of every engagement. Improve effectiveness and efficiency of IT application environments by adopting re-usable software platforms. Our onsite teams work directly with our clients to understand and analyze the current-state of problems and design specifically tailored conceptual solutions.

SGP Recruiting provides both operations and strategic support to Tribal 8(a) and commercial organizations. Our client is a family of SBA-certified Native American Tribal 8(a) and multi-certified companies delivering IT, management consulting, and general construction solutions to the Federal Government and commercial sector. They are seeking a Data Management Specialist to join them on a proposal effort. This role will support developing and maintaining documentation and or data management systems. Work Location: On-site; not remote: Naval Surface Warfare Center, Dahlgren Division (NSWCDD), Dahlgren, VA. Employment would begin upon contract award Requirements: · Two years of professional experience in relation to developing and maintaining documentation and or data management systems. Qualifying experience in a Windows environment, Microsoft Office (Excel and Word). · Clearance: Active Secret. · Certification: IAT II level with a T3 investigation. · Must sign Letter of Intent. Our client provides a variety of benefits including company-paid health, dental & vision insurance coverage, as well as additional employee-paid health insurance options; company-paid life and disability insurance; 401k retirement savings plan with employer match; 11 company paid holidays per year, and paid time off. Our client is committed to hiring and retaining a diverse workforce. They are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. They are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We are also committed to providing accommodations for persons with disabilities.

What if you could build a career where ambition meets innovation? At LPL Financial, we empower professionals to shape their success while helping clients pursue their financial goals with confidence. What if you could have access to cutting-edge resources, a collaborative environment, and the freedom to make an impact? If you're ready to take the next step, discover what’s possible with LPL Financial. Job Overview: LPL’s Enterprise Data Warehousing team is working to build enhanced data and insights capabilities by transforming them into Cloud applications. We are looking for a technical leader to drive the implementation and adoption of Cloud warehouses across multiple applications. This is a very hands-on role and will be working with a motivated team in a fast-paced environment. Responsibilities: Lead the design, development, enhancement, and cloud migration of the enterprise Data Warehouse, ensuring alignment with business goals and data governance. Manage full lifecycle delivery from requirements gathering to production deployment across on-premise and cloud platforms (Snowflake, AWS). Architect scalable cloud data solutions using Snowflake, DBT, and AWS-native services (S3, Lambda, Glue, Airflow). Implement ELT/ETL pipelines using tools like DBT. Lead, coach, and mentor onshore and offshore development teams to deliver high-quality software solutions. Act as a technical escalation point, resolving issues and proposing alternative solutions to ensure system reliability and performance. Serve as the subject matter expert in database application delivery and optimization, with deep expertise in Oracle and Microsoft SQL Server. Oversee release management and post-production support to ensure smooth transitions and minimal business disruption. Lead application migration efforts to cloud-based architectures and support remediation of existing implementations accessing data warehouses and lakes. What are we looking for? We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness , act with integrity , and are driven to help our clients succeed . We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work. Requirements: Bachelor’s degree in computer science or related field. 15+ years of experience in IT, with 8+ years in Data Warehouse development and support. Deep expertise in Snowflake, AWS services, and modern ELT tools. Proven experience in conceptual, logical, and physical data modeling. Advanced SQL skills and experience with enterprise databases. Core Competencies: Exceptional communication skills—able to translate technical concepts into business language. Strong organizational and planning abilities with a process-driven mindset. Proven ability to manage multiple priorities in a fast-paced environment. Commitment to excellence in service delivery and execution. Collaborative mindset with cross-functional team engagement. Preferences: Experience in coding technologies like Python, Scala, and SQL. Experience with Informatica, Data Lake, Hadoop, MapR is a big plus. CI/CD, GitHub, and Octopus or equivalent experience is a plus. Experience in Fin-Tech industry is a plus. Strong understanding of Data Vault, Lakehouse, and Hub architectures Familiarity with Generative AI tech stack, such as OpenAI GPT, Claude, or similar;Prompt engineering and fine-tuning for business use cases; Integration of LLMs into data workflows and applications (e.g., chatbots, summarization, code generation) #LI-Hybrid Pay Range: $115,575-$192,625/yearActual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play – such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer! Company Overview: LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace. LPL supports over 29,000 financial advisors and the wealth-management practices of 1,100 financial institution, servicing and custodying approximately $1.9 trillion in brokerage and advisory assets on behalf of approximately 7 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients. For further information about LPL, please visit www.lpl.com . Join LPL Financial: Where Your Potential Meets Opportunity At LPL Financial, we believe that everyone deserves objective financial guidance. As the nation’s leading independent broker-dealer, we offer an integrated platform of cutting-edge technology, brokerage, and investment advisor services. Why LPL? Innovative Environment: We foster creativity and growth, providing a supportive and responsive leadership team. Learn more about our leadership team here! Limitless Career Potential: Your career at LPL has no limits, only amazing potential. Learn more about our careers here! Unified Mission: We are one team on one mission—taking care of our advisors so they can take care of their clients. Learn more about our mission and values here! Impactful Work: Our size is just right for you to make a real impact. Learn more here! Commitment to Equality: We support workplace equality and embrace diverse perspectives and backgrounds. Learn more here! Community Focus: We care for our communities and encourage our employees to do the same. Learn more here! Benefits and Total Rewards: Our Total Rewards package goes beyond just compensation and insurance. It includes a mix of traditional and unique benefits, perks, and resources designed to enhance your life both at work and at home. Learn more here! Join the LPL team and help us make a difference by turning life’s aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE. Information on Interviews: LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (855) 575-6947. EAC1.22.25

If asked to describe the culture at Metropolitan Family Services, we could do that in one word. COMMUNITY ! Reflected in both our internal culture as well as through the services we provide, community is at the heart of all we do. Metropolitan Family Services (MFS) empowers families to learn, to earn, to heal, to thrive. Part mentor, part motivator, part advocate, since 1857, Metropolitan Family Services has been the engine of change that empowers families to reach their greatest potential and positively impact their communities. Are you looking to have an impact on more than just a company’s bottom line? Then we’d love to hear from you! We are currently looking to fill a Senior Data Analyst role at our Headquarters ! SALARY: The average starting salary for this position will fall in the range of $72,000 and $79,000 annually. Where candidates fall in this range will be based on skill and experience level. ESSENTIAL JOB FUNCTIONS: Provide advanced data analytics support to Evaluation Managers, including data analysis, data source improvements, and streamlined processes for efficient data cleaning and reporting. Support program-specific and agency-wide Tableau dashboard builds. Conduct rigorous data cleaning and analysis utilizing advanced software tools, such as R, SQL, or Python. Utilize existing databases for evaluation purposes, including writing SQL queries and monitoring data quality and integrity. Provide support, training, and technical assistance to program and administrative staff, including guidance on interpretation and usage for non-technical staff. Manage and mentor data analytics associates and interns, ensuring a balanced workload that aligns with strategic priorities and fosters professional development. Lead or support data-related projects, ensuring timely completion and alignment with organizational goals. Review and approve materials and reports created by supervised staff to ensure accuracy, quality, and alignment with organizational standards. Document data analytics processes, procedures, best practices, and project-specific decisions. Other duties as assigned. KNOWLEDGE, SKILLS and ABILITIES: Highly effective interpersonal skills. Excellent verbal and written communication skills, with the ability to present complex data findings to diverse audiences clearly and effectively. Awareness of and sensitivity to the diverse backgrounds and experiences of clients served, with a commitment to promoting equity in data practices. Ability to work effectively in a hybrid work environment. QUALIFICATIONS: Master’s Degree in a relevant quantitative discipline or social services field with significant quantitative training, OR 8+ years of progressively more advanced work in a relevant field required. Experience with data monitoring, cleaning, and analysis in a nonprofit, academic, or social services setting required. Advanced quantitative analysis in R, Python, or another software required. Intermediate to advanced SQL experience required. Advanced experience with Tableau and Tableau Prep required. Supervision experience, preferably within a non-profit organization required. Bilingual English/Spanish preferred. ADDITIONAL REQUIREMENTS: Cover-letter required. Satisfactorily pass all relevant screenings and criminal background checks. TRANSPORTATION/TRAVEL REQUIREMENTS: Driving not required. PHYSICAL DEMANDS While performing the essential duties of this job, the employee is required to sit and stand for sustained periods of time, frequently talk, hear, use hands and fingers to feel, handle, and operate objects or controls, and occasionally stand, bend, stretch, stoop, kneel and crouch. The employee is required to have close visual acuity to perform an activity such as preparing and analyzing data and figures, transcribing, and viewing a computer terminal. Metropolitan Family Services puts our people first with a top-of-the-line benefits package. Find out more by clicking here ! Some highlights include: Medical Coverage, Dental Coverage, and Vision Coverage. Metropolitan Family Services contributions of $2,000 to individual, and $4,000 to family, HSA accounts, pro-rated to your benefits start date. FREE General Medicine and Behavioral Health Teladoc services provided to all team members. Ascensus 401K plan services with a 4% employer match, vested at 100% on day one of eligibility. And so much more! Make sure you click here to see the full suite of benefits offered! Some of the above benefits are available for part-time and temporary workers, but not all. Be sure to inquire upon your hire as to which benefits apply to you. MORE ABOUT US: Metropolitan is Illinois' first comprehensive human services agency and reaches more than 122,970 individuals and families in Chicago, Evanston/Skokie, the southwest suburbs, and DuPage County with services promoting education, economic stability, emotional wellness, and empowerment.

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time. Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values— customers are everything , relentless momentum , winner’s mindset , and stronger together —shape how we work and grow as a team. About the Role As a Data Scientist at Decagon, you’ll bring deep technical rigor to how data is analyzed, tested, and applied across the business. You’ll design and interpret experiments, apply advanced statistical methods, and build scalable analytical frameworks that directly inform product strategy and company performance. You’ll work across Engineering and Product to establish robust measurement practices, expand the use of data-driven decision making, and uncover insights that shape Decagon’s trajectory. This role blends strong analytical expertise with product acumen and the ability to influence at the highest levels. In this role, you will Conduct deep-dive analyses using advanced statistical methods on user behavior, product performance, and business outcomes to surface actionable insights. Enhance and extend Decagon’s data models, metrics, and dashboards to ensure consistent, scalable reporting across teams. Design, implement, and analyze controlled A/B test experiments to measure product changes and customer experience. Collaborate with Product and Engineering to embed experimentation and measurement best practices into product development cycles. Build and continuously improve Decagon’s data stack, ensuring scalable models, pipelines, and tools that empower self-serve analytics across the company. Communicate findings clearly and persuasively to executives and cross-functional stakeholders, influencing strategic decision-making. Evaluate and interpret the performance of ML models (e.g., classification, recommendation, LLM-based systems), helping the team reason through trade-offs, limitations, and business implications of model-driven decisions. Be the primary driver of experimentation culture at Decagon, helping define how we design, measure, and scale experiments across the business. What We're Looking For Strong ability to structure ambiguous problems, translate them into analytical approaches, and deliver business impact through data. Advanced proficiency in SQL and Python, with a solid foundation in statistics and experimental design. 5+ years (or equivalent experience) in data science or product analytics roles, ideally within high-scale consumer or marketplace products. Ability to reason about and analyze machine learning models, understanding their assumptions, trade-offs, and impact on product and customer outcomes. A proven track record of designing, running, and analyzing experiments at scale. * Excellent communication skills, with experience influencing stakeholders and driving decisions across teams. Benefits Medical, dental, and vision benefits Take what you need vacation policy Daily lunches, dinners and snacks in the office to keep you at your best Compensation: $250k - $300k + equity

Description TLA is seeking an experienced and curious Data Scientist to join our team and transform complex data into actionable insights that drive strategic business decisions. The ideal candidate will combine expertise in statistics, programming, and machine learning to solve real-world problems and enable smarter business processes through analytics. You will work cross-functionally to define requirements, build predictive models, and communicate findings to technical and non-technical stakeholders. Key Responsibilities · Data Collection & Preparation: Collect, clean, and preprocess large, complex datasets from various internal and external sources to ensure data integrity and usability. · Exploratory Data Analysis (EDA): Perform in-depth exploratory data analysis to identify patterns, trends, anomalies, and uncover hidden opportunities. · Model Development & Implementation: Design, develop, test, and validate statistical and machine learning models (e.g., classification, regression, clustering) to forecast trends, optimize operations, and improve product offerings. · Data Storytelling & Communication: Translate complex technical findings and data insights into clear, compelling narratives and visualizations (reports, dashboards, presentations) for key decision-makers across the organization. · Collaboration: Partner with data engineers, software developers, and business stakeholders (marketing, product, operations) to implement data-driven solutions and integrate models into production environments. · Experimentation: Design and execute A/B testing and other experiments to measure the effectiveness of new initiatives and continuously improve model performance. Innovation: Stay up-to-date with the latest tools, technologies, and methodologies in the data science field, including AI and large language models (LLMs), to drive innovation Requirements · Education: Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or a related discipline. · Experience: 3+ years of hands-on industry experience in a data science or machine learning role. · Programming Languages: Strong proficiency in Python or R for data analysis and statistical modeling, and advanced knowledge of SQL for data extraction and manipulation. · Machine Learning: Practical experience applying a range of machine learning techniques and algorithms (e.g., scikit-learn, TensorFlow, PyTorch). · Data Visualization: Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) to present data insights effectively. · Analytical Skills: Strong analytical and problem-solving abilities, with an emphasis on critical thinking and the scientific method. · Communication: Excellent verbal and written communication skills with the ability to explain complex data science concepts to non-technical audiences. Preferred Certifications · Microsoft Certified: Azure Data Scientist Associate · IBM Data Science Professional Certificate · Certified Analytics Professional (CAP) · AWS Certified Machine Learning – Specialty TensorFlow Developer Certificate Benefits At TLA , we build solutions that matter—supporting national security missions through technology innovation, collaboration, and excellence. Our team is passionate about leveraging modern technologies to deliver impactful, mission-focused outcomes for our customers. We offer a competitive and comprehensive benefits package including: Competitive salary and performance bonuses Medical, dental, and vision coverage Paid time off and federal holidays 401(k) with company match Education and certification reimbursement Training and professional development opportunities Employee referral bonuses and team events TLA is proud to be an Equal Opportunity Employer . We celebrate diversity and are committed to creating an inclusive environment for all employees.

Charter: Be a founding member of a team building the first accurate AI systems for drug toxicity prediction to replace lab and animal experiments About Axiom and the role: We’re building AI systems for drug safety and toxicity assessment. Drug toxicity causes about half of drug program failures and by tackling it we can help drug discovery teams across the industry bring new medicines to patients far faster. We’re looking for a data engineer who’s excited to own the pipelines, systems, and tooling that turn raw chemical, biological, and clinical data into ML-ready training data and into customer-ready insights. You’ll work closely with our ML, lab, and product teams to build LLM-driven literature research and data platforms, scale inference of image and graph neural networks, automate ETL from diverse sources, and ensure the integrity of datasets that drive critical decisions internally and externally. This role is ideal for someone who wants to build clean, reliable systems that directly impact the success of hundreds of drug programs. What are we looking for: We want to hire people who inspire us and level up the entire team. They should be high energy, high agency, and have great taste for what matters. They should have a relentless “observe, orient, decide, act” loop, and be constantly identifying what needs to happen and getting it done. They need to be technically excellent and obsessive masters of their craft, as well as having a great curiosity which will keep them at the frontier of tech and help them interface between AI, engineering, product, biology, chemistry, and business. They could work in big tech, but it won’t satisfy them. They want to go on an adventure which will be brutally challenging, and to share in the rewards and satisfaction at its end. What you will be doing: Build and maintain the core data systems for Axiom’s research platform, including ingestion, processing, storage, and serving Work with scientists to understand their data needs and create simple APIs for accessing chemical and biological datasets Architect LLM systems to curate, clean, and analyze human clinical trial data, and evaluations and observability for these systems Develop distributed systems to run large-scale LLM jobs that clean and curate biological and clinical data Set up quality checks, testing tools, and monitoring systems to ensure data and model outputs stay accurate and reliable Various expertise which gets us interested: Leading large-scale data platform buildouts serving multiple internal teams or external users Designing and maintaining high-throughput data systems capable of processing petabytes of data Building AI- or LLM-powered data systems, particularly for research workflows and retrieval use cases Gathering technical requirements from end users and translating them into effective data infrastructure Taking ownership of data systems at an early-stage startup and significantly boosting team productivity Key criteria: Strong proficiency in Python and core data libraries such as Pandas, NumPy, and the broader Python data ecosystem Hands-on experience building distributed systems from scratch using tools like Kubernetes, Slurm, Modal, Anyscale, Ray, Daft, Dask, or Spark Passion for large-scale data processing and building systems for high-performance computation Enjoys collaborating with researchers tackling complex scientific and technical problems Comfortable working in fast-changing environments with evolving research needs Solid DevOps background—experience with CI/CD systems, cloud platforms (AWS, GCP, Azure), Terraform, and compute provisioning Deep, obsessive curiosity about both the science and the business driving the work

OUR COMPANY: EOS IT Solutions is a Global Technology and Logistics company, providing Collaboration and Business IT Support services to some of the world’s largest industry leaders, delivering forward-thinking solutions based on multi-domain architecture. Customer satisfaction and commitment to superior quality of service are our top business priorities, along with investing in and supporting our partners and employees.We are a true International IT provider and are proud to deliver our services through global simplicity with trusted transparency. WHAT YOU WILL DO: We are seeking an Data Center Repair Technician (Breakfix) to join our data center operations team. This role is focused on the physical repair and maintenance of data center hardware, including servers, switches, routers, and related components. The ideal candidate will have hands-on experience with hardware from leading vendors such as Cisco, Juniper, Arista, and x86 server platforms. The pay range of this role is up to $26.45 - $31.25/ hr for day shift and $31.25 - $36.06/ hr for night shift. This position involves rotational shifts to support 24/7/365 operations. This role may require up to 10% travel domestically and internationally. KEY RESPONSIBILITIES: Perform hands-on repairs and replacement of defective hardware components in data center equipment, including power supplies, fans, and network cards. Manage the lifecycle of hardware components, from installation and troubleshooting to decommissioning and recycling. Conduct physical inspections and routine maintenance on data center equipment to ensure operational reliability. Oversee the inventory management of spare parts and hardware components, ensuring availability for repairs and upgrades. Collaborate with technical teams to coordinate replacement activities and minimize downtime during hardware failures. Document repair activities, maintain accurate records of maintenance logs, and update system configurations as necessary. Execute basic physical layer troubleshooting, including cable and port testing, to ensure connectivity and performance standards. Support the implementation of new hardware installations and the physical setup of network and server infrastructure. Participate in emergency response teams to address urgent hardware issues 4 Rotational shifts, for 24/7/365 service (8 to 10 hr. shifts; 3 to 4 days per week; 2 to 3 days off) ESSENTIAL CRITERIA: Technical diploma or certification in electronics, computer hardware, or a related field or equivalent experience. Proven track record of repairing and maintaining IT and network hardware in a data center environment. Familiarity with hardware from Cisco, Juniper, Arista, and x86 servers is highly preferred. Strong organizational skills with the ability to manage multiple tasks and prioritize work effectively. Excellent problem-solving skills and the capacity to perform well in a fast-paced environment. Valid driver’s license and ability to handle physical requirements of the job including lifting equipment up to 50 pounds. PHYSICAL REQUIREMENTS: Ability to lift and maneuver heavy equipment, up to approximately 50 pounds, and occasionally up to 100 pounds. Dexterity to manage small and complex components during hardware maintenance. Frequent standing, bending, and moving within confined spaces in the data center. Ability to work in various environmental conditions, including areas with elevated temperatures and noise levels. EOS BENEFITS: At EOS IT Solutions, we are committed to supporting the well-being and success of our team. Our comprehensive benefits package includes: Health, Vision, and Dental Insurance starting the 1st of the month after your start date. Occasional overtime and bonus opportunities 10 Days of Paid Time Off (PTO) annually 12 Paid Holidays 6 Sick Days (available after 90 days of employment) 401(k) Retirement Plan with a $2,500 company match (available after 90 days of employment) We believe in creating a workplace where our employees can thrive both personally and professionally. The EOS pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, experience, education, knowledge, skills, and abilities, as well as internal equity, market data, or other laws. EOS is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at EOS regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor. #NAMERHV#INDHP Pay Range $26.45 — $36.06 USD

Regional Vice President, Sales - CoStar Data & Analytics – West (Century City or Irvine, CA) Job Description Who is CoStar Group? CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We’ve continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate. Why CoStar? Proven Success : 90%+ average customer renewal rate and consistent 10%+ year-over-year growth. High Rewards : Competitive base salary with uncapped commissions, exceptional benefits, and exclusive incentives like our annual President’s Club retreat at a luxury destination for top performers. Career Development : Comprehensive onboarding and training experience with a clear path for growth, where top performers enjoy long-term career advancement. Innovative Tools : Access to industry-leading products that give you a competitive edge. Role Overview As a CoStar Regional Vice President (RVP) you will have the overall responsibility for continuing the momentum of rapid revenue growth of our West Coast region . You will lead a team of Regional Sales Directors and Sales Executives to achieve revenue growth goals, maintain renewal goals and expand revenue opportunities by growing the number of territories, further penetrating into the vertical markets and increasing cross-sales success. You will build and develop a high-performing sales organization and culture in your region. To be successful, you will inspire and create excitement with the customer base and sales prospects, your sales teams, as well as across the entire organization and in the marketplace. You will be a tireless, high-energy professional with an entrepreneurial, risk-taking flair and will possess a brand of confidence, which allows for delegation and empowerment of your team. You must possess excellent interpersonal skills, the highest level of integrity and be able to inspire trust and confidence. Finally, you must have a level of business maturity, flexibility and intestinal fortitude to re-energize and instill a winning, “can-do” attitude within your organization . This role will be based out of our Century City or Irvine, CA office. Key Responsibilities Drive sales goals of double - digit annually for your region . Attract, develop and retain a strong team of Regional Directors and Sales Executives who can perform at or above CoStar’s stated goals, aggressively growing active users, achieving net new revenue goals . Work directly with a team of Regional Directors to develop them into high-performing sales leaders and provide support and guidance to help them develop their teams and increase penetration in major markets . Ensure that Regional Directors are hiring top-tier candidates, and training and developing their “A players . ” Identify and ensure training needs are met for your sales force, addressing employee skill gaps and performance issues as appropriate . Develop and implement sales plans to achieve corporate goals and enforce performance goals accordingly. Create and develop relationships with key customers to enhance retention and increase additional sales to those accounts . Constantly seek , and implement best practices in the sales function . Lead efforts to implement process controls and drive a mind-set of continuous improvement throughout your region sales organization. Establish and maintain collaborative relationships with key stakeholders including business and functional partners and the senior management team . Serve as an integral member of the senior sales leadership team assisting the executive team in the achievement of company goals . Basic Qualifications External Candidates 15+ years of experience in a sales leadership role, with 5+ years of managing managers and a direct sales organization of at least 50 employees. 10+ years of experience managing sales efforts in a highly transactional, fast-paced organization with a short cycle-time sales model. Internal Candidates Minimum 10 years of experience managing sales efforts in a highly transactional, fast-paced organization with a short cycle-time sales model. 24+ months in a people manager role at CoStar Group, with a strong track record of meeting or exceeding sales targets . All Candidates Bachelor's degree required from an accredited, not-for-profit, in-person college/university. A track record of commitment to prior employers . Candidates must possess a current and valid driver’s license . Satisfactory completion of a Driving Record/Driving Abstract check prior to start . Experience leading sales efforts in a fast-paced, consultative sales model. Experience in managing outside sales teams in a B2B environment selling data, research, and analytic platforms or tools, commercial real estate, property technology, financial services, business intelligence, marketing, information providers, or related experience preferred. Client-facing experience in the commercial real estate industry is strongly preferred. Preferred Qualifications & Skills Demonstrated ability to retain strong sales leaders, proven sales producers and performance manage non-producers. Proven ability to work across all areas of an organization to influence stakeholders and constituents and lead the team to success. Demonstrated track record of developing sales leaders. Effective relationship builder internally (peers, teams, company-wide) and externally (sales channels, customers, etc.). Ability to be flexible and adapt to changing situations at a high growth company. What’s In It For You? If you are a driven professional looking for a high-growth, high-reward career, CoStar Group offers the ideal opportunity . Be part of a best-in-class company with strong year-over-year growth that invests in your success. Enjoy a rewarding atmosphere where you can learn, excel, and grow. When you join CoStar Group, you’ll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed. We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training and tuition reimbursement. Our benefits package includes (but is not limited to): Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug Life, legal, and supplementary insurance Virtual and in person mental health counseling services for individuals and family Commuter and parking benefits 401(K) retirement plan with matching contributions Employee stock purchase plan Paid time off Tuition reimbursement On-site fitness center and/or reimbursed fitness center membership costs (location dependent) Access to CoStar Group’s Diversity, Equity, & Inclusion Employee Resource Groups Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks Pay Transparency This position offers a base salary range of $ 180 , 000 - $ 225, 000 , based on relevant skills and experience, an uncapped/generous commission plan and generous benefits. Sponsorship We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply. However, please note that CoStar Group is not able to provide visa sponsorship for this position. #LI-MM3 CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Digital Media Mobile Go-to-Market Applied Data Science and Analytics team is looking for a seasoned and passionate Data Scientist (Individual Contributor) to drive the rapid growing mobile business. This is a hybrid role of data science and strategy. In this role, you will leverage your data science skill and machine learning techniques to generate actionable data-driven recommendations to empower mobile business across full funnel of customer journey (acquisition, monetization, engagement and retention). The ideal candidate will be a ‘self-starter’ with outstanding quantitative analytical skill, superb business intuition, fantastic communication skill, and most importantly, the ability to use analytics to drive/influence business decision making. What You Will Do Apply expertise in quantitative analysis and data modeling to gain deep insights into customers behaviors/journey across surfaces, short and long-term trend, and present impactful recommendations to grow the business Acting as a thought partner to the GTM business leads, Sales, PM, PMM, and other partners and influence decisions through the storytelling of data-driven recommendations, analysis, and experiment results Identify the business opportunities, build the use cases, and recommend data science initiatives to unlock the business that will inform our data science plan and data driven product roadmap Using data science models to tackle critical business challenges and drive recurring, scalable, and programmatic business unlocks Recommend testing ideas based on the analysis What Is Needed To Succeed Bachelor’s degree in quantitative fields, e.g., Computer Science, Math/Statistics, Economics, Physics, or equivalent practical experience. MBA or a master’s degree is preferred 2-3 years hands-on experience doing quantitative analysis in tech or management consulting Demonstrable experience using quantitative analysis/statistical modeling on data sets to tackle intricate business problems Phenomenal at telling stories with data and communicating it to partners at all levels to influence critical decision making Strong proficiency in querying and manipulating volumes of data sets for analytical purposes using SQL-like languages Deep understanding of mobile analytics, mobile user journey and funnel analysis is strongly preferred Statistical Modeling in Microsoft Excel or Power Pivot Experience building and training statistical/data science models Experience in Data Visualization tools, preferably, Tableau and Power BI A solid sense of self and a great sense of humor A fast learner with desire to learn new things Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $109,000 -- $192,400 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

About us Our first product, Sculptor, gives engineers the power to run and coordinate multiple coding agents in parallel, helping them move faster, and stay in flow. At its core, Sculptor is about giving developers more power to make software creation faster, safer, and more reliable. More broadly, our mission is to make "open" AI agents win over closed agents. To do that, we’re starting with coding agents, since they both make it easier to construct future agents, and we can use them ourselves. The insights we gain from these agents will help us improve both the capabilities of the underlying models and the interaction design for agents. Ultimately, we aim to rekindle the dream of the *personal* computer, where computers become truly intelligent tools that empower us, giving us freedom, dignity, and agency to pursue the things we love. Summary We’re a small, cross-functional team focused on building AI systems that reason and code. We care deeply about understanding how people interact with these systems and how we can use data to make them safer, smarter, and more useful . We're looking for a Data Engineer to build and own the pipelines and data infrastructure that power our product and research efforts. Your work will directly support model training, evaluation, product analytics, and safety systems. You’ll partner closely with team members building our coding agents to make sure we’re capturing the right signals and using them well. If you’re excited about turning messy product data into actionable insights, and building systems that can scale with our research, we’d love to get connected! Example Projects • Combine synthetic data generation with human annotation platforms to produce high quality data that advances our product and research roadmap. • Design and build resilient, scalable pipelines (ETL and ELT) for batch and streaming data. • Develop and maintain infrastructure to support self-serve analytics, experimentation, and dataset generation. Prototype, evaluate, and make “build vs buy” decisions. • Help define and improve data modeling practices across the company, including instrumentation standards, dimensional modeling for analytics and feature stores for machine learning (ML). • Build integrations with ML infrastructure to support training pipelines, inference logging, and model monitoring (MLOps). • Debug pipeline failures, automate deployment processes, and improve data quality and reusability. You are • A strong software engineer with 5+ years of experience, ideally working with large-scale data systems. • Experienced in designing and maintaining data pipelines and infrastructure, especially for analytics, experimentation, and ML. • Comfortable with tools for data orchestration (Airflow, Prefect), batch or streaming processing (Spark, Ray, Flink), and event tracking and analytics (Amplitude, PostHog). • Experienced with cloud-based infrastructure and storage (e.g., S3, GCP, Snowflake, or Redshift), and thoughtful about cost-performance tradeoffs. • Exposure to MLOps, model serving infrastructure, or ML workflows. • Pragmatic and principled! You know when to optimize and when to ship. Compensation and Benefits • Competitive compensation, equity, and benefits • Lunch provided daily to onsite employees • $250 lifestyle stipend per month • Generous budget for self-improvement: coaching, courses, conferences, etc • Actively co-create and participate in a positive, intentional team culture • Spend time learning, reading papers, and deeply understanding prior work. • Frequent team events, dinners, off-sites, and hanging out. • Compensation packages are highly variable based on a variety of factors. If your salary requirements fall outside of the stated range, we still encourage you to apply. The range for this role is $170,000–$350,000 cash, $10,000–$2,000,000 in equity. How to apply All submissions are reviewed by a person, so we encourage you to include notes on why you're interested in working with us. If you have any other work that you can showcase (open source code, side projects, etc.), certainly include it! We know that talent comes from many backgrounds, and we aim to build a team with diverse skillsets that spike strongly in different areas. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. We leverage more than 17 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to transform the way our customers approach constantly changing and complex problem sets by bringing to bear the latest in technology and the highest caliber of talent. Headquartered in Washington, DC's historic Dupont Circle neighborhood, Barbaricum also has a corporate presence in Tampa, FL, Bedford, IN, and Dayton, OH, with team members across the United States and around the world. As a leader in our space, we partner with firms in the private sector, academic institutions, and industry associations with a goal of continually building our expertise and capabilities for the benefit of our employees and the customers we support. Through all of this, we have built a vibrant corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation. Our teams are at the frontier of the Nation's most complex and rewarding challenges. Join our team. Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM J2 at Offutt Air Force Base near Omaha, Nebraska. This individual will work to migrate existing ad hoc data flows to JWICS AWS available to the enterprise. Initially, the Data Engineer will use Python to automate data gathering and data cleaning efforts. Using these foundational efforts, the Data Engineer will then develop, implement, and operate a data management system for the intelligence enterprise. Responsibilities: Design, implement, and operate data management systems for intelligence needs Use Python to automate data workflows Design algorithms databases, and pipelines to access, and optimize data retrieval, storage, use, integration and management by different data regimes and digital systems Work with data users to determine, create, and populate optimal data architectures, structures, and systems; and plan, design, and optimize data throughput and query performance Participate in the selection of backend database technologies (e.g. SQL, NoSQL, etc.), its configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness Assist and advise the Government with developing, constructing, and maintaining data architectures Research, study, and present technical information, in the form of briefings or written papers, on relevant data engineering methodologies and technologies of interest to or as requested by the Government Align data architecture, acquisition, and processes with intelligence and analytic requirements Prepare data for predictive and prescriptive modeling deploying analytics programs, machine learning and statistical methods to find hidden patterns, discover tasks and processes which can be automated and make recommendations to streamline data processes and visualizations Design, implement, and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests Utilize Amazon Web Services (AWS) hosted big data technologies to store, format, process, compute, and manipulate data in order to draw conclusions and make predictions Qualifications: Active DoD Top Secret/SCI clearance required 8+ years of demonstrated experience in software engineering Bachelor’s degree in computer science or a related field. A degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics and/or other relevant experience 8+ years of experience working with AWS big data technologies (S3, EC2) and demonstrate experience in distributed data processing, Data Modeling, ETL Development, and/or Data Warehousing Demonstrated mid-level knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations 3+ years of experience using analytical concepts and statistical techniques 8+ years of demonstrated experience across Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science especially around software engineering and/or designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence Due to security requirements, this position is primarily required to be performed on-site. However, subject to project and customer requirements, team members may be provided flexibility for limited remote support. EEO Commitment All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

WHO WE ARE Apex Fintech Solutions (AFS) powers innovation and the future of digital wealth management by processing millions of transactions daily, to simplify, automate, and facilitate access to financial markets for all. Our robust suite of fintech solutions enables us to support clients such as Stash, Betterment, SoFi, and Webull, and more than 20 million of our clients' customers. Collectively, AFS creates an environment in which companies with the biggest ideas in fintech are empowered to change the world. As a global organization, we have offices in Austin, Dallas, Chicago, New York, Portland, Belfast, and Manila. If you are seeking a fast-paced and entrepreneurial environment where you'll have the opportunity to make an immediate impact, and you have the guts to change everything, this is the place for you. AFS has received a number of prestigious industry awards, including: 2021, 2020, 2019, and 2018 Best Wealth Management Company - presented by Fintech Breakthrough Awards 2021 Most Innovative Companies - presented by Fast Company 2021 Best API & Best Trading Technology - presented by Global Fintech Awards ABOUT THIS ROLE As the Senior Manager, Product Management for Apex’s Data Platform and Products, you will play a pivotal role in enabling the reliable, scalable, quality access to data across multiple LOBs and platforms at Apex, including Apex’s new Ascend platform. This role requires the ability to deliver strategic vision and lead/influence senior leaders to drive a customer and platform-centric approach to cloud data platforms and data access. We’re looking for someone who wants to get hands on and drive delivery and continuous improvement for bleeding edge data products and solutions at a leading high growth fintech firm. Duties/Responsibilities Lead the development and execution of comprehensive strategies for Apex’s Data Platform and Products product areas, aligning closely with the company's long-term goals, market opportunities, and internal partner teams. Drive end-to-end management of major, multi-year product initiatives, ensuring quality delivery and impactful outcomes in an agile environment. Manage and mentor a team of Product Managers and interdisciplinary team members, fostering a culture of innovation, collaboration, and continuous improvement. Operate your team against clear goals and performance metrics with high predictability, clarity, efficiency, and develop a bias for action and data/narrative-driven culture within your team. Work closely with Engineering, Operations, Compliance, Data Science, Sales, Marketing, and other departments to ensure alignment on product strategy, goals, roadmap prioritization, successful execution and launch. Champion customer-centric approaches in product development, leading efforts to understand and address client and internal user needs effectively and drive tight feedback loops. Evaluate business and financial implications of product decisions, driving initiatives that manage cost, enhance profitability, and increase market competitiveness. Anticipate industry trends and competitive dynamics, leveraging insights to formulate and communicate a compelling product vision. Champion an inclusive and diverse environment where people are excited to do their best work and their ideas are actively sought after. Model our values and leadership principles, coach others to give them the tools to grow, and demonstrate caring and empathy. Generate energy to motivate the team throughout the entire product cycle. Education and/or Experience Bachelor’s degree in business administration, Computer Science, Engineering, or a related field required. MBA or advanced degree preferred. 8+ years of experience in product management roles with a proven track record of delivering complex, data-driven data products, platforms, and solutions. Experience with investing platforms is highly advantageous. 3+ years as a people manager Demonstrated success in leading product for large engineering teams and driving organizational strategies that contribute to overall company success. Required Skills/Abilities Strong ability to develop and execute product strategies that align with corporate objectives, broad stakeholders, and market trends. Solid understanding of technical service management concepts; ability to lead technical discussions and provide guidance on complex issues. Exceptional written and verbal communication skills, with the ability to influence and engage stakeholders at all levels, including executive leadership. Expertise in research and data analysis, with the ability to derive actionable insights and guide junior team members in similar pursuits. Demonstrated ability to work with internal partners across business and leadership roles across a large organization to collaborate on and deliver high impact products, tools, and services. Proven ability to lead client communications and represent the company effectively in client-facing interactions. Experience in fostering a positive team culture, identifying and addressing cultural gaps, and driving initiatives to enhance team cohesion and performance. Other Preferred Qualifications Experience within the financial services or fintech industry, especially within a FINRA and/or SEC regulated business. Experience with Data Cataloging, Data Governance, Data Streaming, and/or Data Testing solutions. Experience with Google Big Query, Looker or delivering other BI platform solutions to client and internal users. Management experience building B2B SaaS solutions; Financial Services (Payments, Brokerage, Wealth Management, Trading, Clearing, Settlements, etc) industry experience is a strong plus. Work Environment This job operates in a, hybrid office environment 3 days per week. Position requires 25%+ time for travel. (We’re a distributed company.) #product management #mid-senior #full-time #LI-SG1 #APEX ​ Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Our Rewards We offer a robust package of employee perks and benefits, including healthcare benefits (medical, dental and vision, EAP), competitive PTO, 401k match, parental leave, and HSA contribution match. We also provide our employees with a paid subscription to the Calm app and offer generous external learning and tuition reimbursement benefits. At AFS , we offer a hybrid work schedule for most roles that allows employees to have the flexibility of working from home and one of our primary offices. Salary Range $160,000-$200,000 The annual base salary range for this position is noted above. Exact compensation offered may vary depending on job-related knowledge, skills, experience, and office location. EEO Statement Apex Fintech Solutions is an equal opportunity employer that does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, marital status, or any other protected characteristic. Our hiring practices ensure that all qualified applicants receive fair consideration without regard to these characteristics. Disability Statement Apex Fintech Solutions is committed to creating an inclusive and accessible workplace for all candidates, including those with disabilities. We are dedicated to ensuring equal employment opportunities and providing reasonable accommodations to qualified individuals with disabilities. If you require reasonable accommodations to participate in the application or interview process, please submit your request via the Candidate Accommodation Requests Form . We will work with you to provide the necessary accommodations to ensure your full participation in our hiring process.

Job Description Summary: Aviagen® stands at the forefront of poultry genetics, pioneering research, and innovation on a global scale. Our broiler breeder brands are among the most recognized and respected in the industry, and each has a proven record of success in addition to a large and loyal global customer base.We seek a qualified IT Data Analyst to use analytical skills and experience to develop enterprise reporting solutions that deliver actionable insights to our global customers. You will work closely with internal stakeholders to understand their questions and needs and then explore their needs for integrated business intelligence. Key tasks will include developing ETL processes, data visualizations, algorithms, and systems, and using your skills to turn disparate datasets into objective answers that help our stakeholders make informed decisions. At the end of the day, you will help our users better understand their data and how it can be used to drive day-to-day business decisions. This position is on-site at our corporate offices in Huntsville, Alabama. Job Description: Responsibilities: Design and develop ETL and data models utilizing multiple sources. Create Qlik dashboards with front-end visualizations that effectively communicate complex data. Use Python to integrate with Qlik Sense through server-side extensions Provide ad hoc analytical support for and participate in solution design sessions with sales, production, logistics, quality, veterinary, and finance teams. Create and maintain documentation of data and reporting sources, process, structure, and metric definition. Job Qualifications: 2+ years of experience with data exploration, data cleaning, data analysis, data visualization 2+ years of experience analyzing structured data sources 2+ years of experience using SQL and analytics software or BI platforms (Qlik, Power BI, Tableau, etc.) Experience debugging, performing data validation, and troubleshooting issues Effective time management and communication skills Capable of holding sessions with stakeholders and team members to solve complex problems Bachelor’s degree in a relevant field Experience with SCRUM, leveraging Python, and/or T-SQL (SQL Server) a plus Experience with Qlik Sense QVD architecture and/or managing Qlik Sense QMC task reload chains a plus Poultry or agriculture industry knowledge a plus Master's degree in Data Science, Computer Science, or other Science, Technology, Engineering, or Mathematics field a plus. Work Authorization: Applicants must be a U.S. citizen or currently authorized to work in the U.S. at the time of hire and must maintain authorization to work in the U.S. throughout their employment with our company. EEOC Statement: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.