Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

About the Job Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure. Position Senior Python Full-Stack Engineer — AI Data & Infrastructure Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience) Role Responsibilities - Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows - Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control - Improve reliability, performance, and safety across existing Python codebases - Collaborate with data, research, and engineering teams to support model training and evaluation workflows - Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes - Participate in synchronous reviews to iterate on system design and implementation decisions Qualifications Must-Have - Native or fluent English speaker - Full-stack developer experience with a strong systems programming background - 5+ years of professional experience writing production Python for data engineering. - Proficiency with workflow orchestration tools to manage complex dependency graphs. - Strong experience with data frame processing libraries and interacting with cloud data warehouses via Python SDKs. - Clear written and verbal communication skills. - Ability to commit 20–40 hours per week. Preferred - Prior experience with data annotation , data quality, or evaluation systems - Familiarity with AI/ML workflows, model training, or benchmarking pipelines - Experience with distributed systems or developer tooling Application Process - Submit your resume - Complete a short technical screening - Project matching and onboarding $50 - $75 an hour

Job Description: About the Role At Remitly, we are on a mission to transform lives by providing trusted financial services that transcend borders. We serve millions of customers sending billions of dollars each year across 170+ countries, and our work impacts communities on a truly global scale. As a Senior Data Scientist at Remitly, you will work at the center of data-driven decision-making across product and business domains. Data Scientists work hand-in-hand with Machine Learning Engineers and partner closely with Product, Analytics, and Engineering to shape AI/ML products through rigorous analytics, experimentation, and modeling. We work horizontally across domains at Remitly, including Global Money Movement, Treasury, Identity & Trust, Promotions, Referrals, and more. We are looking for an experienced Data Scientist who can independently own complex analytical and modeling problems, apply strong causal reasoning, and translate ambiguous business questions into clear, high-impact insights and recommendations. What You’ll Do Own the end-to-end lifecycle of data science work, from problem formulation and exploratory data analysis to modeling, evaluation, and communication of results. Partner with Machine Learning Engineers to support production models through offline analysis, feature & label recommendations, evaluation strategy, and monitoring insights. Estimate opportunity size for AI initiatives to help prioritize work based on expected business impact. Apply causal inference techniques, including quasi-experimental methods, to evaluate real world impact when randomized experiments are not feasible. Ensure and uplevel quality standards for experiment design, diagnosis, and analysis. Translate complex analytical and modeling outcomes into clear narratives that influence product and business decisions. Develop and maintain robust analytical and modeling workflows that enable reproducible experimentation and reliable evaluation of impact. Mentor junior Data Scientists, contribute to design and analysis reviews, and uphold a high bar for analytical quality and scientific rigor. What You Bring Degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or equivalent practical experience. 4+ years of industry experience in data science, applied statistics, or a related field. Strong proficiency in SQL and Python, with the ability to write clean, reproducible, and well-tested data science code. Expertise in experimentation and statistical analysis, including metric selection, bias diagnosis, and result interpretation. Strong analytical intuition and experience working with messy real-world data to uncover meaningful insights. Experience partnering cross-functionally with Product, Engineering, and Machine Learning teams to drive impact. Ability to communicate clearly with both technical and non technical audiences, explaining tradeoffs, uncertainty, and assumptions. Experience with one or more of causal inference, forecasting, or numerical optimization is strongly preferred. Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Title: Data Analyst Manager Location: SF Bay Area | Atlanta, GA | NYC, NY | Remote, USA Employment Type: Full-time, Salaried Reports to: VP, Data & Analytics Who We Are Impiricus is the first and only AI-powered HCP Engagement Engine. In 2025, Deloitte named Impiricus the #1 fastest growing company in North America for their prestigious Fast 500 list. Founded by a practicing physician and a senior pharmaceutical executive, Impiricus was created to transform how life sciences companies support physicians. We ethically connect HCPs to pharma resources, reduce go-to-market costs and accelerate patient access to the treatments they need. With our unique access to the largest opted-in network of HCPs, their insights, and clinical expertise, we are the leading provider of AI technology and real-time channels that life science companies need to deliver clear, reliable, and evidence-based resources directly into the hands of HCPs. Guided by a council of 2000+ trusted HCP advisors, we ensure every interaction is clinically meaningful, ethically grounded and leads to better patient care. Job Summary: As a Data Analyst Manager on the Data & Analytics team at Impiricus, you will lead and elevate analytical work across commercial operations. You’ll manage and mentor a small team of analysts while also owning high-impact analyses yourself—setting the bar for rigor, narrative clarity, and visual storytelling. This role requires a strong mix of quantitative skill, strategic thinking, process management, and polished communication to drive insights for internal stakeholders and pharmaceutical clients. Duties/Responsibilities: Team Leadership & Analytical Quality Lead and coach Data Analysts, ensuring high analytical rigor, quality control, and polished narrative output. Set standards for methodologies, visualization practices, and client-ready storytelling. Personally execute complex analyses, modeling best-in-class analytical and communication skills. Campaign Execution and Commercial Insights Lead deep-dive performance analyses, uncovering trends, drivers, and actionable opportunities. Build clear, compelling visual stories tailored to audience needs across Client Services, Sales, and external clients. Develop frameworks, dashboards, and repeatable performance reporting to support ongoing campaign optimization. Business Development Strategy and Support Synthesize performance across brands and therapeutic areas to guide strategic decisions. Support business development with data-backed opportunity assessments and insights from internal and external sources. Manage the delivery of crisp, confident presentations and insight summaries for senior stakeholders. Target List Strategy & Data Operations Oversee the creation, validation, and refinement of HCP target lists. Ensure consistency, accuracy, and scalability in targeting processes, coaching analysts on best practices. Maintain high standards of data hygiene and operational excellence. Cross-Functional Communication Serve as a key analytical partner to Client Services, Sales, Product, and Operations. Communicate progress, findings, and recommendations with clarity and confidence. Reliably represent the D&A team in cross-functional discussions and client meetings independently. Experience: Technical Skills Excel / Google Sheets: expert-level proficiency, including advanced formulas, modeling, and structured analytical workflows. Presentation software (PowerPoint, Google Slides): expert-level, with a track record of polished, client-ready decks. Experience with visualization and analytics platforms (Tableau, Power BI, Sigma, etc.). High proficiency or strong familiarity with SQL and Python for data manipulation and analysis. Professional Experience 3–5+ years in quantitative or analytics-focused roles; healthcare or pharma experience preferred. Demonstrated leadership and mentorship of analysts or small teams. Proven ability to independently manage complex analytical projects from scoping to delivery. Exceptional written and verbal communication skills with the ability to distill complex data into clear, persuasive insights. Strong attention to detail, organization, and multi-project management. The base salary range for this role is $120,000 - $140,000. Where you land within the range will reflect your skills, experience, and location, while keeping team parity in mind and leaving room for future growth. Benefits: Impiricus focuses on taking care of our teammates’ professional and personal growth and well-being. Healthcare : Medical, dental, and vision coverage for you and your dependents + on-demand healthcare concierge HSA, FSA & DCFSA : Pre-tax savings options for healthcare and dependent care, with monthly employer contributions to HSA (if enrolled in a high-deductible plan) Coverage & Protection : 100% paid short- and long-term disability, plus life and AD&D insurance Flexible Time Off : Take the time you need with a flexible vacation policy — recharge your batteries your way Parental Leave : 12 weeks of paid leave to spend time with your newborn, adopted, or foster child (available after 6 months) Your Work, Your Way : If you’re close to an office, we encourage spending some time in-person to collaborate and connect. If not, remote is always an option. Home Office Setup : We’ll ship you the gear you need to create a comfortable workspace at home. 401(k) : Save for your future with tax advantages (and company match!) Impiricus provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

About Watney Watney develops autonomous robots to enable the growth of critical infrastructure. Having recently raised $21 million in seed funding from Conviction, Abstract and A*, we’re partnering with the world’s largest hyperscalers to accelerate datacenter buildout and breakfix. Join now for a ground-floor seat with outsized ownership and visibility as we scale from prototype to production fleets. Ship real systems, shape the rollout playbook, and leave fingerprints on a category-defining robotics company. The Role As one of the foundational members of our Engineering team, you will architect and develop petabyte-scale data pipelines for our fast-growing fleet of production robots. For a startup of our size, we collect data at a scale few companies have seen. We are builders. And, this is a career-defining opportunity to work on one of the hardest technical problems not only at our company, but in modern computing. Working directly with our founding team, this role is based onsite at our San Francisco headquarters. What You’ll Do Architect (from scratch!), build and maintain highly-available, robust, petabyte-scale data pipelines Provide technical leadership and advise leadership on technology strategy and decision-making Collaborate with ML Engineers to develop blazingly fast online RL systems at scale What You'll Bring 7+ years of software development experience Strong technical foundation and breadth with experience architecting terabyte-scale data pipelines In-depth, hands-on development experience building and optimizing petabyte-scale data pipelines Proficiency programming in Golang, Java, Scala or Python. Rust is a big plus! Strong sense of ownership, initiative, problem solving and analysis Effective communicator and collaborator with the ability to work closely with ML Engineers Compensation $200,000 - $275,000 annual salary. We offer competitive compensation, including equity and comprehensive benefits. We’re committed to building a diverse, inclusive team. At Watney Robotics, we welcome people of all backgrounds and identities, and we make hiring decisions based on skills, experience, and potential. If you’re passionate about robotics but don’t meet every requirement, we still encourage you to apply! Curious to learn more? Follow us here on X and LinkedIn

Job Description Summary Women's Health and X-ray is pursuing a strategic initiative to unlock incremental revenue through the development of Digital SaaS solutions. These innovative applications will be layered onto the existing global install base of Mammography (Mammo), Digital Breast Tomosynthesis (DBT), and X-ray devices—transforming hardware into intelligent platforms that deliver enhanced clinical and operational value.The Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets. The project centers on the development of solutions that leverage AI-driven guidance to assist patients throughout radiologic procedures. The system integrates advanced technologies including computer vision, robotics, and intelligent control to coordinate imaging tasks. Job Description No OPT or Sponsorship for this role This role is a hybrid position, in-office 2-3 days/week out of Chicago or Waukesha, WI office As a Sr Data Scientist, you will be part of a data science or cross-disciplinary team on commercially facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.In this role, you will: Work with customers to capture data and analytics requirements Develop, verify, and validate analytics to address customer needs and opportunities. Work alongside software developers and software engineers to translate algorithms into commercially viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Communicate methods, findings, and hypotheses with stakeholders. Requirements: Education- Master’s or PhD in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math). Undergraduate or graduate studies in biomedical engineering or similar fields is highly desired. Minimum of 7 years of professional experience in AI product development. Experience in medical device development Technical Expertise- Demonstrated skill in data management methods Demonstrated skill in feature extraction and realtime analytics development and deployment Demonstrated skill in prescriptive analytics and analytic prototyping Experience developing and deploying production-grade AI/machine learning models at scale, delivering measurable business impact through improved efficiency, revenue growth or automation in real-world environments. Demonstrated ability to translate business problems into ROI-driven AI solutions, including end‑to‑end ownership from problem framing and model development to operationalization, monitoring, and continuous improvement in production Specific Skills Include- Proficiency in python and deep learning frameworks such such a Tensorflow, PyTorch and openCV Strong background in AI image processing and computer vision algorithms, including training and fine-tuning image classification and segmentation models Preferred Skills: Experience with model optimization for latency and throughput in online systems. Experience with large-scale CNNs or LLMs, vision transformers (VLMs), and self-supervised learning. Experience with the full AI lifecycle, including data curation, model development, and model validation for production. Proven ability to collaborate with ML engineers to integrate models into production. Skilled in model validation for product readiness, with a strong focus on writing production-quality, maintainable code. Experience with multimodal data integration and systems combining images, video, and speech is highly desired. Experience with cloud computing platform, such as AWS or Azure is highly desired. Experience working with robotic simulation is desired. Domain Knowledge- Experience in medical device development is considered a strong asset. Experience in medical imaging AI development is highly desired Background in robotics or automation technologies is advantageous. Background in automated vehicle or robotic guidance is highly desired Demonstrated skill in defining and delivering customer value in these areas Experience with natural language processing is advantageous. Leadership- Demonstrated skill at working in a team setting Demonstrated skill in critical thinking and problem solving methods Demonstrated skill in project ownership and overseeing AI solution development interdentally. Demonstrated skill in presentation and influencing skills #Hybrid #LI-MH1 We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $139,200.00-$208,800.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement. GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. Relocation Assistance Provided: Yes

Analytics & Data Platform Lead Location: Remote (US-based) Reports to: Chief Strategy Officer Type: Full-time About Lucra Lucra is a B2B gamified loyalty and engagement platform powering real-money competition, rewards, and engagement experiences for leading brands in golf, hospitality, and entertainment. Following our Series B raise, Lucra is entering its next phase of growth focused on revenue realization, scalable operations, and data-driven product differentiation. Data is a core strategic pillar for Lucra, not a support function. This role will be our first full-time data hire and will help shape how data, analytics, and AI are embedded across the company. The Role Lucra is seeking an Analytics & Data Platform Lead to own, build, and operate our data foundation. This role is responsible for the maintenance and development of our core data stack, ensuring that raw product, financial, and operational data is transformed into reliable, actionable insights that drive business decisions. This is a high-impact individual contributor role with clear ownership and visibility across leadership. The ideal candidate will be hands-on with the full analytics lifecycle — from product instrumentation and data modeling to ad-hoc analysis and executive reporting — while also laying the groundwork for how data will operate strategically at Lucra in the future. The right person is comfortable owning the “messy middle” of data work today: fixing tracking gaps, building dashboards from imperfect inputs, answering urgent business questions, and creating operational reporting that helps teams execute. Over time, this role will evolve the platform, practices, and standards that enable data to become a true strategic advantage across product, sales, operations, and client experience. What You’ll Own Data Foundation & Source of Truth Ad-Hoc Analysis: Provide comprehensive data support for the team. Conduct deep-dive analyses to uncover trends, identify root causes for changes in both product and operational metrics, and provide data-backed recommendations for strategy. This includes developing and maintaining dashboards for key operational metrics. Maintain and Govern Data Infrastructure: Serve as the primary dedicated resource for the operational health, performance, and cost-efficiency of our core data stack, including Redshift , dbt (data build tool) , and Sigma Computing . ETL/ELT Pipeline Management: Design, develop, and maintain robust data transformation workflows using dbt to ensure data is clean, modeled, and ready for use by all stakeholders across the organization. Data Quality & Reliability: Implement and monitor data quality checks, testing, and documentation to ensure accuracy and reliability across all production data models, acting as a steward for our data assets. Schema & Warehouse Management: Manage the structure and optimization of the Redshift data warehouse, including performance tuning and user access management. Executive, Board & Finance Analytics Build and maintain board-ready and executive dashboards Support revenue realization tracking and forecasting Develop unit economics and cost-to-serve models (by user, feature, and client) Partner with Finance on invoicing accuracy, revenue share validation, and margin analysis Product Analytics, Client & Marketing Insights Own the administration and configuration of our product analytics tools for segmentation, cohort analysis, and funnel creation. Deliver actionable insights into product adoption, engagement, and retention Support experimentation frameworks and post-launch monitoring Partner with Client Success to develop client health, renewal, and upsell signals Enable Sales and Marketing teams with data to support pricing, packaging, and pipeline/deal quality Data as a Product Support the evolution of Lucra’s client-facing analytics dashboards. Improve clarity, usability, and storytelling across all client-facing data deliverables Lead the evolution of Lucra’s data offering as a monetizable product, extending beyond dashboards Distinguish table-stakes analytics from revenue-generating differentiators , Define and package high-value data assets that customers can purchase as premium add-ons. Help establish data as an ongoing managed service. Position data-driven upsells that increase ARPU and deepen customer lock-in. AI & Automation Readiness Identify practical AI and automation opportunities (forecasting, anomaly detection, workflow automation) Ensure data cleanliness and structure support AI initiatives Identify, evaluate, and deploy AI-powered tooling that automates analysis and expands who across the company can work with data. Design and implement AI-enabled workflows that reduce manual effort Partner cross-functionally to embed AI analytics tooling into day-to-day workflows across the company What You Bring Required Experience 5+ years of experience in analytics, analytics engineering, or data platform roles Experience operating in high-growth SaaS environments (Series A–C preferred) Strong SQL skills and experience modeling analytics data Proficiency in Python Experience managing and optimizing Redshift (or a comparable cloud data warehouse like Snowflake, BigQuery) Familiarity with the tools in our data & analytics stack (Redshift, dbt, Sigma, Segment) Experience with event tracking implementation, specifically Mixpanel (or a similar event-based analytics platform like Amplitude) Preferred Experience Experience as an early or founding data hire Familiarity with usage-based pricing, marketplaces, or transaction-driven platforms Exposure to client-facing analytics or data monetization Experience supporting AI or advanced analytics initiatives B2B SaaS or platform experience

About Audubon The National Audubon Society is a leading nonprofit conservation organization with 120 years of science-based, community-driven impact, dedicated to protecting birds and the places they need, today and tomorrow. Birds are powerful indicators of our planet’s health, acting as sentinels that warn us of environmental change and inspire action. Audubon works across the Western Hemisphere, driven by the understanding that what is good for birds is good for the planet. Through a collaborative, bipartisan approach across habitats, borders, and the political spectrum, Audubon drives meaningful and lasting conservation outcomes. With 800 staff and over 1.9 million supporters, Audubon is a dynamic and ever-growing force committed to ensuring a better planet for both birds and people for generations to come. Learn more at www.audubon.org and on Facebook, Twitter and Instagram @audubonsociety. Position Summary : In pursuit of Audubon's conservation mission, the Data & Technology team partners with programmatic and business teams across the organization to develop and deploy enterprise data systems and data-driven practices at the scale needed to achieve our ambitious goals. The Senior Director, Data Analytics, Measurement and Reporting will play a key role in designing, managing and implementing enterprise data analysis and reporting products and approaches, workflows, and technology solutions to align data analytics needs, opportunities, sources, and uses across Audubon. This role will partner with and support conservation and functional business teams across Audubon to identify and address analytics needs and opportunities through the development of data products, tools and processes that enable robust, data-driven approaches to delivering, evaluating, and communicating progress toward our mission for hemispheric level bird conservation. A successful candidate will have comfort and familiarity with a broad range of data analytics, analytics engineering, data science, impact measurement, and reporting tools and methods, as well as strengths in project management, change management, and communication among technical and non-technical stakeholders. The role requires excellence in relationship and people management, technical leadership to drive the implementation of robust and maintainable data products, and vision for how to advance data maturity at Audubon across operational and programmatic needs including leveraging emerging data sources and technologies to bring efficiencies and drive greater impact toward Audubon’s mission and goals. This position reports to the Vice President of Data and Technology within the Audubon Technology team. This position is classified as hybrid, remote within the US considered, in accordance with Audubon’s “Where We Work” Policy. Hybrid employees are expected to work in an Audubon office every Monday and Tuesday and an additional two days each month of the employee’s choosing. Candidates should be located within commuting distance of Audubon's offices in Washington, DC or New York, NY. Only applications submitted with a cover letter will be considered. Examples of initiatives that the position will support are: Track and report the scale and depth of Audubon’s hemispheric conservation efforts; share results and insights to support internal program management and external storytelling about our work and impact. Develop and deploy operational and reporting solutions to help Audubon grow and deepen engagement with millions of supporters, bird lovers and activists across the hemisphere, online and offline. Collaborate with functional business teams such as Marketing, Development and Finance to build data capacity and maturity with business data analysts and executive leaders; act as a key strategic partner to identify and act on opportunities to deploy data analysis and reporting products that leverage our programmatic and operational data in innovative and robust ways to achieve our ambitious goals. Compensation: Salary range based on geo-differentials: $165,000 - $186,000 / year = National $186,000 - $209,000 / year = Alaska, CA (not San Francisco), Connecticut, D.C., Chicago, Oyster Bay, NY $207,000 - $233,000 / year = NYC (not Oyster Bay), San Francisco, Seattle Additional Job Description Essential Functions Define and lead Audubon’s analytics, measurement and reporting strategy in alignment with the five-year Strategic Plan and organizational priorities. Develop and maintain analytics roadmap, ensuring alignment with organizational and user needs and technology best practices. Design and implement data analysis, analytics engineering and reporting solutions, leveraging Audubon’s enterprise data architecture, business intelligence tools, business systems, marketing technology stack, impact measurement tracking system, and other organizational technology tools and resources. Act as the product owner of key analytics and reporting data assets and tools, working in collaboration with colleagues from across the Audubon data teams to ensure selection of appropriate technologies and methodologies and overseeing the product lifecycle in order to deliver high quality and efficient solutions to user-driven requirements and strategic priorities. Administer and evolve Audubon’s analytics, measurement and reporting tools and infrastructure, ensuring scalability, security, and accessibility. Provide and manage ongoing data analytics and analytics engineering support for operational and programmatic teams across Audubon; Support and collaborate with business data analysts and users across stakeholder teams toward broader adoption of data analytics tools and products to advance team level and organizational data maturity Collaborate with leaders from Strategy Integration, Conservation, and other stakeholders to develop and manage Audubon’s impact measurement and reporting methodologies and data products; partner with and support Audubon’s Science team in executing Conservation impact evaluation, modeling, and other related efforts. Supervise and support analytics team staff, providing mentorship, performance management, and professional development opportunities. Proactively manage and facilitate strong, collaborative partnerships among technical teams and non-technical stakeholders across the Audubon network, as well as external partners, vendors and professional networks in the conservation and social impact space. Manage contractors and vendors including software and professional services providers; participate in budget planning and tracking; collaborate with administrative staff and IT department to administer data analysis, analytics engineering, business intelligence and reporting tools and applications. Ensure that data analytics, measurement and reporting practices adhere to security, privacy, and compliance standards, including data governance policies, regulatory requirements, and industry best practices; Implement and maintain safeguards to protect sensitive information, mitigate risks, and support a culture of data security awareness across the organization. Prepare and deliver written and oral reports, visualizations, and presentations to executives, technical and non-technical staff, and external audiences. Represent Audubon in professional forums, conferences, and external engagements to elevate the organization’s profile and thought leadership. Foster a culture of innovation, collaboration, and inclusion within the data team and across the organization. Maintain and foster culture of safety. Other job-related duties as assigned. Qualifications and Experience: Master’s degree in Data Analytics/Data Science, Engineering, Computer Science, Information Technology, or similar discipline and 10+ years of directly relevant work experience and 3+years of leadership experience developing and managing data analytics, data science and analytics engineering products, workflows, tools and processes. An equivalent combination of education and experience will be considered. Proven success as a data analytics and data product leader. Strong detail-oriented execution skills, including direct experience as an individual contributor and experience leading teams to move projects from conception to completion. Demonstrated ability to manage teams of technical practitioners in a workplace environment is required. Success in leading/sponsoring large data analytics and reporting initiatives in matrixed organizations. Experience transforming how data delivers business value and impact value in large, federated non-profit, government, or other environmental or social impact organization strongly preferred. Experience in designing and deploying business intelligence, reporting, decision support, data storytelling, and impact design/impact measurement tools in conservation or other environmental or social issue spaces strongly preferred. Experience in impact design, impact measurement, and evaluation methodologies and best practices in conservation or other related environmental or social impact sector strongly preferred. Demonstrated experience utilizing modern data infrastructure tools such as cloud data warehouses (Snowflake, BigQuery, etc), data integration and orchestration tools (Fivetran, Airflow, dbt, etc), business intelligence tools (PowerBI, Sigma, etc), CRM systems (Salesforce, Everyaction, etc), and other enterprise data tools (such as Airtable) required. Expert level coding ability in SQL, Python, R, and/or other coding languages for data analytics, data science and/or data engineering required. Experience with marketing and engagement technologies and approaches, including omnichannel marketing platforms, social media analytics tools, web analytics solutions, customer data platforms, voter files and other person level data acquisition and targeting tools, policy and advocacy tracking tools, or similar strongly preferred. Demonstrated ability to communicate technical information to non-technical audiences. Excellent collaboration skills, with the ability to understand and apply product needs and requirements from a diverse set of organizational stakeholders, and to communicate effectively with non-technical collaborators. The ability to manage and maintain healthy vendor relationships, and the ability to seek and evaluate new high-quality vendors to supplement internal staff on a project-by-project basis. Clear track record of success taking product ideas from concept to design to execution and linking objectives and outcomes to strategic goals. Demonstrated experience applying technical coordination and project management best practices using tools such as Asana and Jira required. PMP or other relevant certification preferred. Demonstrated experience preparing effective written materials, presentations, and other documentation and communication materials for internal and external audiences required. Curiosity to stay on the cusp of software and product trends in non-profits and the greater tech industry. Commitment to Audubon’s organizational values of care, collaboration, change, integrity, impact, and innovation. Experience fostering inclusive and collaborative work environments is valued. National Audubon Society Competencies: This role will also be accountable to apply and develop the following competencies. Building Trust : Take actions that give others confidence in your intentions and see you as a truthful and reliable person who follows through on promises and commitments. Coaching : Guide and develop individuals within the organization, nurturing their professional growth and enhancing performance for the future. Decision Making : Make decisions based on comparative data and input from various sources, incorporating diverse viewpoints and insights for a holistic understanding. Leading and Facilitating Change : Be effective in guiding, managing, and supporting organizational or systemic transformations, including considering diverse needs and perspectives. Strategic Leadership : Demonstrate creative problem-solving skills and articulate strategic vision to help team members and the organization achieve long-term goals. EEO Statement We are an equal opportunity employer and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic outlined by federal, state, or local laws. We are committed to providing an inclusive and accessible hiring process for all candidates. Accessibility Statement The National Audubon Society endeavors to keep our careers site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact Accommodations@audubon.org . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

Book Keeping/Data Entry THE JOB:*Recurring monthly bookkeeping.*General Accounting & Data Entry.*Bank reconciliations.*Credit card account reconciliations.REQUIREMENTS:Excel.Good math abilityGood organizational skillsGood communication skills Pie Five-Fuzzy's-Dickey's is independently owned and operated by a franchisee. Your application will go directly to the franchisee, and all hiring decisions will be made by the management of that franchise. All inquiries about employment at this franchise should be made directly to the franchisee, and not to Pie Five Corporate.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Legal Data Services Manager - REMOTE. In this role, you will drive strategic and operational excellence across all data quality initiatives within the organization. You will oversee a dedicated team, focusing on enhancing data quality programs, integrating advanced technologies, and improving productivity. This position requires collaboration with various stakeholders, promoting innovative solutions within the legal sector. As a leader, you will emphasize business development and the application of CRM systems to foster growth and ensure exceptional client outcomes. Accountabilities Develop and implement a comprehensive data quality strategy that aligns with business objectives and client needs. Provide visionary leadership to the Data Quality Services team, promoting cross-functional collaboration. Manage day-to-day operations of the Data Quality Services team for timely program delivery. Collaborate with internal teams and external stakeholders to optimize resources and client outcomes. Develop and monitor data quality standards, ensuring accuracy and reliability. Oversee deployment of advanced data quality tools and technologies. Serve as the primary client contact for data quality initiatives. Facilitate client workshops and training sessions to share insights and recommendations. Identify and pursue new business opportunities within the legal sector. Design marketing materials that articulate the value of data quality services. Champion the adoption of generative AI tools to enhance processes. Collaborate on the design of campaigns to expand market presence. Design and manage data quality assurance processes. Monitor trends and assess service efficacy through comprehensive metrics. Foster an innovative environment by identifying process improvements. Requirements Bachelor’s degree in Data Science, Computer Science, Information Systems, or related field. Minimum of 7 years of experience in data quality management or related area. Proven leadership experience in data quality or data services teams. Proficiency with data quality tools and data integration solutions. Strong command of SQL; familiarity with programming languages is a plus. Experience with CRM systems and their application in business. Excellent analytical skills to transform complex data into actionable insights. Strong business acumen with experience in business development. Exceptional communication skills for diverse audiences. Benefits Promote a healthy work/life balance with numerous well-being initiatives. Shared parental leave and sabbaticals for long-term employee support. Study assistance and professional development opportunities. Eligible for an annual incentive bonus. Country-specific benefits tailored to enhance employee satisfaction. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 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.

Marshalls At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. You’ll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritizes your development. Whether you’re working in our four global Home Offices, Distribution Centers or Retail Stores—TJ Maxx, Marshalls, Homegoods, Homesense, Sierra, Winners, and TK Maxx, you’ll find abundant opportunities to learn, thrive, and make an impact. Come join our TJX family—a Fortune 100 company and the world’s leading off-price retailer. Job Description: Distribution Center Data Center (IT) Supervisor Position Overview: The D/C IT Supervisor oversees and manages all systems activities within the Distribution Center. Manages the computer operations, Data Center activities, system upgrades and enhancements as well as ongoing maintenance. Supervises the clerical staff involved in data center and ticket/label generating process. Manages equipment inventory and coordinates software and hardware installations. Operates as a central business partner to Engineering, IT, Payroll, and D/C Operations. What you’ll be doing: Supervises all activities and personnel in the Data Center Office . Oversees ticket and distribution printing processes, output matching, report delivery, equipment maintenance and reporting. Develops and applies in-depth understanding of all ES and IT systems to effectively problem solve Oversees Systems Support activities including, but are not limited to, SCAN warehouse management system, Sortation Systems, Voice Systems and Labor Management Systems. Manages the timely reporting, escalation and resolution of all system related issues. Manages the coordination of implementations of all systems changes, new software and fixes. Communicates recommendations and changes to DC Management. Develop strong communication channels with Leadership across the DC operation, across the network, and with Home Office ES Operations, & IT partners Focus for project Management: Coordinates and monitors the maintenance of all ongoing maintenance and inventory of all systems related equipment. Works with software and equipment vendors when required. Tracks, reports, and works to resolve network and equipment related issues. Participates with projects coordinated by Home Office. Oversees system and technical training of DC systems Performs other duties and supports project work as needed The Skills that will Make You Successful: Bachelor’s Degree in related field or equivalent work experience required Supervisory experience with networks and problem solving IT/ Distribution/ Manufacturing background Understands relationships and interfaces between systems and platforms Problem solving skills: identify and resolve problems and gathers and analyzes information skillfully. Management & organization skills: Prioritize and plan work, use time efficiently, and develop flexible action plans. Ability to effectively communicate with business partners, associates, union representatives and management Excellent computer skills, flexibility to work all shifts Ability to work flexible hours including nights and weekends Schedule: A Shift: Monday – Thursday 6:30AM – 5:00PM What’s In It for You: At the TJX Companies, Inc., you'll not only enjoy the security of working for a stable and profitable industry leader, you’ll also enjoy the benefits that go along with it! Such as: Medical/Dental/Life insurance options, Associate Discounts, a Savings/Profit Sharing 401(k) Plan, and much more! Base Pay Range: $66,100 - $87,600 annually Benefits include Associate discount; 401(k) match; medical/dental/vision; HSA; health care FSA; life insurance; short/long-term disability; paid holidays/vacation /sick/bereavement/parental leave; EAP; incentive programs; auto/home insurance discounts; scholarship program; adoption/surrogacy assistance; smoking cessation; child care/cell phone discounts; pet/legal insurance; credit union; referral bonuses. All benefits are subject to applicable plan or program terms (including eligibility terms) and may change from time to time. Contact your TJX representative for more information. In addition to our open door policy and supportive work environment, we also strive to provide a competitive salary and benefits package. TJX considers all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status, or based on any individual's status in any group or class protected by applicable federal, state, or local law. TJX also provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. Address: 2760 Red Lion Road Location: USA Marshalls Distribution Center PhiladelphiaThis position has a starting salary range of $66,100.00 to $87,600.00 per year. Actual starting pay is determined by a number of factors, including relevant skills, qualifications, and experience.

Company Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability. Founded in 2019 by Ed Harycki , former Swift Capital Founder ( acquired by PayPal in 2017 ). Backed by Khosla Ventures and led by industry pioneers from companies such as; PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions. Overview Come join our innovative Analytics team to drive deeper understanding to influence product decisions for our financial wellness platform. As a Senior Data Analyst focused on customer behavior, you’ll leverage your expertise in product and user analytics to uncover insights that enhance user engagement, optimize app experiences, and drive overall business growth. You’ll partner closely with Product, Engineering, and Operations teams to translate data into actionable strategies that improve our customer journey and product performance. The ideal candidate is passionate about solving complex problems with data, collaborating cross-functionally, and mentoring others to foster a culture of analytical excellence. What You'll Do Own the development and delivery of insights that empower product and business stakeholders to make informed, real-time decisions Design and implement analyses that evaluate product performance, feature adoption, and user behavior across our app and platform Build and maintain scalable dashboards and reporting frameworks that visualize key metrics and user trends Partner with Product and Engineering to define success metrics, experiment designs (A/B tests), and data requirements for new features Diagnose challenges and identify opportunities to improve user engagement, retention, and conversion Develop and automate recurring data pipelines and processes to ensure accuracy and accessibility of insights Serve as a thought partner and mentor to junior analysts, promoting a collaborative, data-driven culture Requirements 5+ years of experience in data analytics, data science or data engineering Advanced SQL skills and demonstrated ability to work with both structured and unstructured databases. Proficiency in data visualization tools (Tableau, Power BI, or Qlik) to conduct in-depth analysis and present data findings Master’s degree (Analytics, Marketing, Mathematics, Economics, etc) Proven understanding of marketing data and how to leverage that to drive valuable insights Working knowledge in relevant technologies/languages: Python, AWS, Snowflake Excellent collaboration and partnership skills for working across internal organizations Strong interpersonal skills and an appreciation of diversity in teamwork Entrepreneurial spirit. You are self-directed and innovative; you build trust and are biased towards action in fast-paced environments. You love to build new things and thrive in ambiguity and even failure. You care about innovation. Benefits and Perks Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness. We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment. Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees. 100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment. Receive up to $100 per month in fitness reimbursement or enjoy a complimentary full membership to LifeTime Fitness or Equinox. 401(k) with a 3.5% match and immediate vesting Meal program available for both lunch and dinner Pre-tax benefits, including a $1,000 HSA match Life and accidental insurance Flexible PTO Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks. Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.

Palantir Data Engineer Key Role: Apply a broad understanding of computer and information science principles to build and maintain data pipelines in Python, PySpark, and TypeScript. Import and sync to various data sources, clean and standardize data elements, and fix data quality issues. Collect, manage, and convert raw data into usable information for clients, data scientists, and business analysts to interpret. Use code authoring tools in designated platforms to make data accessible so that organizations can use it to evaluate and optimize policy. Build processes for users and data owners to interact with their data in platform using a variety of technologies, including Python, TypeScript, and JavaScript. Develop innovative solutions to complex data-driven problems and operate with substantial latitude for unreviewed action or decision. Basic Qualifications: 4+ years of experience working in a professional environment 1+ years of experience with Palantir Foundry and it's applications, including Code Repository, Ontology Manager and Workshop Experience with coding in Python and PySpark Knowledge of fundamental programming principles or web development Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements Bachelor's degree Additional Qualifications: Experience with R Experience with JavaScript, TypeScript, HTML, and CSS Experience with version control systems, including GIT Experience leading and mentoring teams Experience working in a public health environment Knowledge of Agile and Scrum processes Master's degree Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Axos Bank Target Range: $145,000.00 /Yr. - $165,000.00 /Yr. Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education. Eligible for an Annual Discretionary Cash Bonus Target: 10%Eligible for an Annual Discretionary Restricted Stock Units Bonus Target: 10% These discretionary target bonuses may be awarded semi-annually based upon your achievement of performance goals and targets. About This Job The First Vice President of Data Engineering will be responsible for managing various key data implementations across the organization and providing people and technology leadership. The First Vice President will perform data architecture analysis, design, development and testing to deliver data applications, services, interfaces, ETL processes, reporting and other workflow and management initiatives. This role requires a highly motivated individual with strong leadership capability, technical ability, data capability, excellent communication, and collaboration skills including the ability to develop and troubleshoot a diverse range of problems.This role will be onsite and available at any of the posted locations to include:San Diego, CAIrvine, CALos Angeles, CACentennial, COLas Vegas, NVKansas City, MOEdison, NJOmaha, NERemote or Hybrid is not available. Responsibilities: Head the development and delivery of enterprise scale mission critical data platforms, i.e. Databricks Lakehouse, GCP services, to meet critical business priorities Establish the roadmap and vision for enterprise scale data engineering, executes on this roadmap to deliver shared frameworks for the broader enterprise application development teams Build technical excellence by defining and implementing robust data engineering standards and quality frameworks that govern data pipeline development, testing, and deployment across the data platform Establish, enforce, and champion modern DataOps and CI/CD practices within the team. Lead the automation of deployment, testing, and monitoring to accelerate delivery speed and ensure data quality Provides technical leadership and hands-on guidance to the Data Engineering team to ensure timely and high-quality project delivery and enhancements Mentor engineers in advanced PySpark, SQL, dbt, Fivetran and cloud-native development to maximize team output Collaborates with multiple teams, understands the overall enterprise Data Architecture, and develops the end-to-end solutions for data sourcing, data processing/integration, data provisioning and delivery Delivers projects to successful completion as defined by predetermined project success criteria including those established by the business, ensuring that projects are delivered on time and within budget Focus on designing and developing highly scalable, efficient, and reliable data infrastructure to scale and compute to meet business objectives Lead, coach, and develop team, while creating a vision for team and educating cross-functional teams on how to leverage data to identify opportunities to increase revenue and performance Drives IT solutions to ensure they meet business needs balanced with a pragmatic and integrated approach to the design of technical solutions Remains up to date on key technology, business, and industry trends Performs other duties and responsibilities as assigned Requirements: Bachelor’s degree in computer science, MIS or related degree 10+ years’ experience managing Data Engineering and leading Technology Teams 7+ years’ working with SQL Server and other DB management systems with Cloud and on-PREM data ecosystems 7+ years’ working with cloud-native data ecosystems (GCP, Azure, AWS) with deep experience in Cloud Data Warehouses (e.g., BigQuery, Snowflake, Databricks), exposure to various database types (SQL and NoSQL) and on-prem databases including SQL Server Expertise in Databricks and the Spark ecosystem, including designing and optimizing pipelines using PySpark, implementing the moder data architecture and strong hands-on experience Advanced level experience with Python and PySpark (for data processing), advanced SQL, and modern ELT/ETL tools (e.g., Fivetran and dbt).Strong experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud based data platforms and Data Streaming technologies Experience leading technical teams (e.g., Data Engineers, Tech Leads), including mentoring, project oversight, and setting technical direction Strong experience with breadth of Data Integration tools, Databases, Big Data Platforms, Cloud based data platforms and Data Streaming technologies Expertise within Data Architecture and most importantly deep understanding of the overall Data in an enterprise and ability to understand Data in the context of Business goals Proficient in building from the ground up a modern next generation Lakehouse platform Experience in enterprise implementation, leadership experience, strategic planning, strong business acumen Preferred: Financial Services experience Axos Employee Benefits May Include: Medical, Dental, Vision, and Life Insurance Paid Sick Leave, 3 weeks’ Vacation, and Holidays (about 11 a year) HSA or FSA account and other voluntary benefits 401(k) Retirement Saving Plan with Employer Match Program and 529 Savings Plan Employee Mortgage Loan Program and free access to an Axos Bank Account with Self-Directed Trading About Axos Born digital-first, Axos delivers financial tools and services that allow individuals, small businesses, and companies to access and manage their money how, when, and where they want. We’re a diverse team of dynamic, insightful, and independent innovators who are excited to provide technology-driven solutions that offer unbeatable value to our customers. Axos Financial is our holding company and is publicly traded on the New York Stock Exchange under the symbol "AX" (NYSE: AX). Learn more about working at Axos Pre-Employment Background Check and Drug Test: All offers are contingent upon the candidate successfully passing a credit check, criminal background check, and pre-employment drug screening, which includes screening for marijuana. Axos Bank is a federally regulated banking institution. At the federal level, marijuana is an illegal schedule 1 drug; therefore, we will not employ any person who tests positive for marijuana, regardless of state legalization. Equal Employment Opportunity: Axos is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state, and local laws. Job Functions and Work Environment: While performing the duties of this position, the employee is required to sit for extended periods of time. Manual dexterity and coordination are required while operating standard office equipment such as computer keyboard and mouse, calculator, telephone, copiers, etc. The work environment characteristics described here are representative of those an employee may encounter while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.

Data Solutions Architect SME The Opportunity: In the defense of a nation, data is a strategic asset, and how we secure, manage, and utilize it defines our ability to outpace and counter threats. As aData Solution Architectwithin the Department of War, you’ll lead efforts to modernize data infrastructure, ensuring national security and unlocking the potential of data in mission-critical environments. You will design secure, resilient data architectures aligned with zero trust principles to safeguard sensitive information, optimize operations, and drive mission-critical decision-making. Combining expertise in tools likeVaronis,Virtru,BigID,Collibra,Ohalo, andTrellix, you will develop and implement solutions that balance security, scalability, and performance across hybrid and cloud environments. Your responsibilities include designing and delivering innovative data solutions to improve how mission-critical information is stored, accessed, and secured, while facilitating seamless collaboration. By leveraging tools likeVaronisandTrellix, you will enhance zero trust data security through advanced access controls, threat detection, and risk mitigation. Using platforms likeBigID,Collibra, andOhalo, you’ll establish robust governance frameworks that enable data classification, lineage tracking, and compliance with regulations such as GDPR, CCPA, and FEDRAMP. Additionally, you will integrate tools likeVirtruto enforce end-to-end encryption and secure data at rest and in transit, while modernizing legacy pipelines to enable cloud-native, scalable architectures that support real-time decision-making and advanced analytics. Beyond technical implementation, you will provide strategic leadership by developing architecture roadmaps, producing design documentation, and mentoring junior engineers, preparing your team to tackle future challenges with confidence. As aData Solution Architect, you’ll play a vital role in securing and optimizing data environments across national defense operations. Your solutions will advance operational analytics, artificial intelligence, and machine learning capabilities, enabling smarter and faster decision-making while ensuring data is governed ethically, accessed securely, and shielded from adversaries. By leveraging cutting-edge tools and driving innovation, you’ll contribute directly to safeguarding sensitive information and strengthening the Department’s data-first defense strategy. At the intersection of collaboration and innovation, this is your opportunity to redefine how data is used to protect our nation and make a lasting, tangible difference. Join us. The world can’t wait. You Have: 3+ years of experience designing, deploying, and configuring data security solutions Experience with data security tools, such as Virtru Experience with data-centric security models, including maintenance Experience designing, implementing, configuring, operating, or testing IT systems or security infrastructure Knowledge of DLP solutions and tools, including Trellix, Cisco Email Security Appliance, and Splunk Knowledge of Zero Trust principles and solutions Ability to work effectively with cross-functional teams and stakeholders TS/SCI clearance Bachelors degree Security+ Certification Nice If You Have: Experience relating data loss prevention solutions to zero trust strategy Experience with data security posture management tools, such as Varonis and BigID Experience working in data governance in DoD/DoW or IC agency environments Possession of excellent analytical and problem-solving skills, with keen attention to detail and accuracy Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,900.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Position Summary... What you'll do... Chance to work on financial data for complex problems/challenges. Utilize LLMs/Genai systems and architectures to build and deploy state-of-the-art Genai systems. Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions. We specialize in a range of initiatives which provides actionable insights into trends and patterns and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations. About Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. What you'll do: Develop data science systems and tools for retail; e-commerce applications: Leverage LLMS to summarize and build large scale applications Establish cross-functional relationships to maintain win-win situation for the corporation Collaborate with various product stake holders and business owners to formulate and productionize a solution. What you'll bring: Master's degree or PHD in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in analytics related field. Must have qualifications... Experience with training and inference of large-scale AI models such as Large Language Models (LLMs), multimodal models, and reasoning models. Knowledge of advanced model optimization techniques, including quantization, pruning, distillation, Low-Rank Adaptation (Lora), and Parameter-Efficient Fine-Tuning (PEFT) for cloud deployment. Solid understanding of LLMs and Genai ecosystems, including GPT, LLaMA, Mistral, Claude, Gemini, AWS Sonnet, and related frameworks/tools. Hands-on experience with RAG (Retrieval-Augmented Generation), AI agent development, and frameworks such as Lang Chain, Langgraph etc., Great to have... Experience with Big Data processing and feature engineering using Spark Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure Hands on experience of designing and training large DL models on GPU farm Behavior qualifications... Problem solver with can-do attitude, not afraid of facing new problems, technical challenges, delivery pressures Ability to clearly define problems, models and constraints from informal and flexible business requirements Form collaborative working environment. Demonstrated ability to manage multiple cross-functional initiatives, balancing competing priorities and deadlines. Comfortable working in ambiguous, rapidly changing environments, with strong problem-solving and adaptability. About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates. Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey. Benefits: Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. Equal Opportunity Employer: Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people. The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices .Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart . Bentonville, Arkansas US-10735: The annual salary range for this position is $90,000.00 - $180,000.00 Sunnyvale, California US-04396: The annual salary range for this position is $117,000.00 - $234,000.00Additional compensation includes annual or quarterly performance bonuses.Additional compensation for certain positions may also include : - Stock ㅤ ㅤ ㅤ ㅤ ‎ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Cybersecurity Data Loss Prevention DLP Analyst Description - As the world around us becomes more connected and digital, there are increased opportunities for fraud and disruption due to cybersecurity attacks. The need for companies, products, and services to be secure is more important than ever in this constantly changing landscape. Are you passionate about keeping good people safe from bad actors? We are too! We are HP Cybersecurity, and we are tasked with the security of the HP enterprise. As HP continues our digital transformation, the work of the cybersecurity professional is never complete and is always interesting. Come be a part of making a difference with us! The HP Cybersecurity Data Loss Prevention Analyst is responsible for supporting the development and management of data loss prevention methods and tools. This role involves configuring and maintaining technologies used to protect HP data. The analyst will monitor data activity, respond to data handling events, and ensure compliance with company policies. The ideal candidate will have experience using data loss prevention tools, a background in cybersecurity, strong analytical skills, and the ability to work collaboratively across different teams. This position is a flexible full-time remote working position with the expectation that the employee will be available when needed to join occasional meetings outside of core working hours. What a Cybersecurity Data Loss Prevention Analyst does at HP: Gathers requirements, proposes solutions, and implements new technologies or configures existing technologies to support changes as various data governance and protection programs mature. Contributes to the continuous improvement and maturation of HP’s Data Loss Prevention tools and methods. Creates and maintains comprehensive documentation for processes. Monitors alerts and investigates possible policy violations or data loss events. Understands company Cybersecurity policies and directs employees to relevant policy language and/or authorized technologies and processes. Assists in preparing training materials and delivering training as needed. Engages with other cybersecurity teams as needed, ensuring smooth hand-offs and fostering strong partnerships. Prepares and presents reports, identifying and communicating risks as required. Monitors industry cybersecurity threats, best practices, regulatory changes, corporate updates, and geopolitical changes impacting security. Advises on improvements to data handling procedures and applies strong governance concepts. Individuals who thrive in this role at HP typically have: Experience configuring, administering, and using Zscaler, Purview, Forcepoint, or similar technologies. 3-5 years of relevant experience developing policy, reviewing data loss event alerts, and/or conducting investigations. Technical Cyber Security Certification through one of the recognized bodies a bonus: SANS, ISACA, (ICS)2, CompTIA. Solid working knowledge of industry frameworks and standards and best practices. Results-driven, strong analytical skills, ability to connect the dots to make better decisions. Fluent in oral and written communications in English. Able to work effectively in a team and with various stakeholders at various organizational levels. Good responsiveness, organizational, and time management skills. Proactive in seeking problem resolution. About the team: The Cybersecurity Data Loss Prevention team is a developing group of cyber security professionals who collaborate with all disciplines within Cybersecurity as well as business and functional stakeholders as trusted advisors to effectively manage cyber security risks to the business. Knowledge & Skills • Data Loss Prevention • Cybersecurity operations• Cybersecurity governance• Cybersecurity policies• Data Analysis• Risk identification• Automation• Issue tracking• Security controls Cross-Org Skills • Effective Communication• Results Orientation• Learning Agility• Digital Fluency• Customer Centricity Disclaimer • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. The pay range for this role is $83,000 to $127,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "

Here at Lower , we believe homeownership is the key to building wealth , and we’re making it easier and more accessible than ever. As a mission-driven fintech , we simplify the home-buying process through cutting-edge technology and a seamless customer experience . With tens of billions in funded home loans and top ratings on Trustpilot (4.8), Google (4.9), and Zillow (4.9) , we’re a leader in the industry. But what truly sets us apart? Our people. Join us and be part of something bigger. Job Description: The Engineering Manager will lead and grow a high-impact team of data engineers while remaining hands-on in the codebase. This role blends people leadership, technical execution, and architectural stewardship. The Engineering Manager is responsible for guiding a team of three data engineers, setting technical direction, planning and prioritizing work, and contributing directly through individual contributor efforts. This is an ideal opportunity for a senior engineer or manager who enjoys mentoring others, improving systems, and still spending meaningful time building pipelines, reviewing code, and solving complex data problems. The role plays a critical part in shaping the future of our data platform as we scale, modernize, and deepen our impact across the business. Location: Columbus, OH or Austin, TX required with weekly in-office expectations. Compensation: Compensation for this role varies based on location and experience level. The anticipated base salary ranges are: Columbus, OH: $125,000–$169,000 Austin, TX: $135,000–$185,000 What you'll do: Team Leadership & Management Manage, mentor, and support a team of data engineers, fostering growth, accountability, and strong engineering practices. Plan, prioritize, and groom team work through sprint planning, backlog refinement, and capacity management. Conduct regular 1:1s, provide feedback and coaching, and support career development for team members. Partner with cross-functional leaders to align engineering priorities with business needs. Hands-On Technical Contribution Act as a player-coach by owning and delivering individual contributor work alongside the team. Design, build, and maintain scalable data pipelines using tools such as Snowflake, Fivetran, SQL, Python, and custom API integrations. Review pull requests, enforce coding standards, and ensure high-quality, maintainable, and well-documented code. Troubleshoot and resolve data pipeline issues, performance bottlenecks, and reliability concerns. Architecture & Platform Ownership Own and evolve the data engineering architecture with a focus on scalability, reliability, and simplicity. Identify and reduce technical debt, improve repository structure, and introduce best practices across the codebase. Partner closely with the analyst side of the team to ensure datasets are well-modeled, performant, and analysis-ready. Contribute to tooling, process improvements, and documentation that increase team velocity and data quality. Stakeholder Collaboration Work directly with analyst teammates, product, marketing, and business stakeholders to understand data needs and translate them into technical solutions. Provide technical guidance and context to non-technical partners. Proactively identify opportunities where data engineering can unlock new insights or efficiencies. Who you are: Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience). 6+ years of experience in data engineering, analytics engineering, or related roles. Strong hands-on experience with cloud data warehouses (Snowflake or equivalent). Expert-level SQL skills, including query optimization and analytical data modeling. Strong Python experience for data pipeline development, automation, and orchestration. Experience implementing ELT/ETL workflows using managed tools (e.g., Fivetran) and custom API-based ingestion solutions. Solid understanding of data modeling, pipeline orchestration, and analytics enablement. Experience reviewing code, improving architecture, and managing technical debt. Strong communication skills and ability to balance technical depth with business context. Preferred Experience Prior experience leading or mentoring engineers (formal management experience preferred but not required). Mortgage, real estate, or financial services industry experience is a strong plus. Technical Environment & Stack Programming: Python, SQL, Bash scripting. Cloud: AWS (Lambda, S3, API Gateway, CloudWatch, IAM). Data Warehouse: Snowflake, dimensional modeling, query optimization. ETL/ELT: dbt, pandas, custom Python workflows. DevOps: GitHub Actions, Docker, automated testing. APIs: REST integration, authentication, error handling. Data Formats: JSON, CSV, Parquet, Avro. Version Control: Git, GitHub workflows. What you'll get: Extended benefit offerings including medical/dental/vision, parental leave, life insurance, short- and long-term disability Paid holidays and paid time off 401K with company match Discount on home mortgage refinances or purchase Lower provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

About the Team We are looking for a Director of Data Engineering and Agentic AI Automation to lead the next generation of our finance data infrastructure. As OpenAI expands its Finance operations, we need scalable and trustworthy data systems to match the pace and complexity of our growth. This includes well-modeled, auditable data for revenue recognition, financial reporting, and planning, supported by reliable pipelines that connect ERP, planning, and operational systems. You will lead a group of analytics engineers, data engineers, and AI engineers to build the data pipelines that connect our internal engineering systems with enterprise platforms such as Oracle Fusion ERP. This role will also define the roadmap for agentic AI automation, enabling intelligent workflows, process automation, and AI-driven decision-making across Finance. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Build and maintain scalable, auditable data infrastructure that powers accurate financial information, with a focus on revenue recognition, compute attribution, and close automation. Lead and grow teams of analytics engineers, data engineers, and AI engineers to deliver high-impact, intelligent data systems. Guide work across financial close and allocations automation, B2C revenue automation from engineering systems to ERP (including reconciliation with cash and source systems), and other mission-critical financial processes. Design and implement data pipelines connecting ERP, planning, and operational systems, including Oracle Fusion, Anaplan, and Workday. Build and support scalable, audit-proof architecture that enables reliable financial reporting and compliance. Develop data and AI-powered workflows that enhance forecasting accuracy, compliance automation, and operational efficiency. Create and maintain data marts and products that support stakeholders across Revenue, FP&A, Tax, Procurement, Hardware Accounting, and Controller teams. Define and enforce best practices for data modeling, lineage, observability, and reconciliation across finance data domains. Set the technical direction and manage team structure, mentoring engineers and overseeing contractors or system integrators to ensure delivery of high-quality outcomes. Partner with senior leaders across Finance, Engineering, and Infrastructure to align on priorities and integrate new automation capabilities. Ensure data systems are AI-ready and capable of supporting predictive analytics, autonomous agent workflows, and large-scale automation. Own and maintain Tier-1 data pipelines with strict SLA, data quality, and compliance standards. Drive the long-term roadmap for agentic AI enablement to build the foundation for “Finance on OpenAI.” You might thrive in this role if you have: 12+ years in data engineering, with proven experience building and managing enterprise-scale, auditable ETL pipelines and complex datasets Proficiency in SQL and Python, with demonstrated experience in schema design, data modeling, and orchestration frameworks Expertise in distributed data processing technologies such as Apache Spark, Kafka, and cloud-native storage (e.g., S3, ADLS) Deep knowledge of enterprise data architecture, especially within Finance and Supply Chain Familiarity with financial processes (close, allocations, revenue recognition) and supply chain data models (Supply and demand planning, procurement, vendor master), along with experience in ingesting data from internal engineering systems with large volumes of B2C Experience integrating with contract manufacturers and external logistics providers is a strong plus Strong track record of partnering with senior business stakeholders and translating complex requirements into scalable technical solutions About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Job Title: Software Engineer with Data Management ExperienceJob Category: EngineeringTime Type: Full timeMinimum Clearance Required to Start: TS/SCI with PolygraphEmployee Type: RegularPercentage of Travel Required: NoneType of Travel: None* * * The Opportunity: CACI is seeking a Software Engineer with Data Management Experience to be at the forefront of transforming system security evaluation! You will play a crucial role in developing cutting-edge capabilities that automate and streamline security processes, implement continuous monitoring and assessment, and enhance network data gathering across project lifecycles. Join our innovative team and help shape the future of data management and system security! Responsibilities: Develop, maintain, and execute Pig and/or PySpark analytics Review and approve data ingest tickets and merge requests Ensure reliable and accurate data delivery to end users Manage day-to-day operations and troubleshoot data accuracy issues Contribute to the shift from manual to automated security evaluation processes Qualifications: Required: Active TS/SCI clearance with Polygraph 10+ years of experience as a Software Engineer on similar scope and complexity projects Bachelor's degree in Computer Science or related field (or 4 additional years of relevant SWE experience) Strong background in analytics development Proficiency in Pig and PySpark Desired: Experience with patch management and IAVA tracking Programming skills in Python, Java, or Scala Familiarity with NiFi and Ansible Experience working in Agile environments This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI. _________________________________________________________________________ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Your potential is limitless. So is ours. _________________________________________________________________________ Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. The proposed salary range for this position is: $131,800 - $290,000 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.