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Introduction Join our team as we develop and enforce enterprise data management policies to ensure compliance and enhance data governance across the organization. We are seeking a talented and experienced professional to lead and innovate in the field of data management. Required Skills & Qualifications Must-have qualifications that candidates must meet to be considered: Applicants must be able to work directly on a W2 basis. Banking or financial services experience. Data Management certification (e.g., Certified Data Management Professional, Certified Data Steward). Seven years of experience or an equivalent combination of education and work experience involving: Writing and enforcing Enterprise Data Management policies, standards, and procedures. Designing and executing data management risk assessments. Preferred Skills & Qualifications Nice-to-have skills but are not required: Ten years of experience or an equivalent combination of education and work experience involving: Writing and enforcing Enterprise Data Management policies, standards, and procedures. Designing and executing data management risk assessments. Experience creating dashboards using tools such as Power BI or Tableau. Experience creating and delivering executive-level presentations of complex concepts. Day-to-Day Responsibilities Key tasks and expectations for the role: Author and enforce Enterprise Data Management policies and requirements. Design and implement enterprise data management policy adherence practices across the enterprise. Define, implement, and operate Enterprise Data Management processes. Develop, monitor, and report data management policy adherence metrics. Company Benefits & Culture We are committed to fostering a diverse and inclusive work environment. Join a team that values innovation, collaboration, and professional growth. Supportive and inclusive company culture. Opportunities for professional development and career advancement. Engagement in meaningful and impactful projects. For immediate consideration please click APPLY to begin the screening process.

Pay rate range - $55/hr. to $60/hr. Work Schedule: Fully onsite Education and years of Experience: 1) Bachelor's Degree or higher in an applicable field 2) 3-5 years of experience in data analytics, business intelligence, or a related field Top Skills: • Strong SQL skills with experience querying complex, multi-source datasets • Proficiency in Python or R for data manipulation, analysis, and automation • Hands-on experience with BI/visualization tools (Tableau, Power BI, or similar) • Familiarity with engineering workflows and tools (JIRA, Git, CI/CD concepts) KEY RESPONSIBILITES/REQUIREMENTS: We are seeking a Data Analyst contractor to support the Core Engineering organization. In this embedded role, you will partner directly with engineering leadership to build and maintain a comprehensive engineering intelligence platform spanning delivery metrics, quality indicators, and team health analytics across our global development centers in the US, Bangalore, and Warsaw. The ideal candidate combines strong technical skills (SQL, Python, Looker) with analytical rigor and clear communication. You will work across multiple data sources—including JIRA, HR systems, Git, and CI/CD pipelines—to surface actionable insights that drive operational decisions and team effectiveness. Key Responsibilities 1. Engineering Metrics & Dashboards • Design, build, and maintain dashboards for sprint velocity, cycle time, release frequency, and deployment success • Create automated reporting pipelines using Python to reduce manual data gathering • Establish standardized metrics definitions across US, Bangalore, and Warsaw teams 2. Quality Analytics • Track and visualize bug rates, test coverage, incident response times, and technical debt trends • Build early warning systems to identify quality issues before they impact delivery • Partner with engineering leads to define quality benchmarks and improvement targets 3. Team Health & Capacity Planning • Develop capacity planning models and utilization dashboards • Analyze hiring pipeline data to support workforce planning decisions • Monitor attrition patterns and provide insights to support retention efforts 4. Data Integration & Automation • Connect and normalize data from JIRA, HR systems (Workday), Git repositories, and CI/CD tools • Build reliable ETL processes to ensure data freshness and accuracy • Document data sources, transformations, and metric calculations 5. Stakeholder Communication • Deliver weekly/monthly reports to engineering leadership • Translate complex data findings into clear, actionable recommendations • Support quarterly business reviews with relevant engineering metrics Qualifications (Required) • 3-5 years of experience in data analytics, business intelligence, or a related field • Strong SQL skills with experience querying complex, multi-source datasets • Proficiency in Python or R for data manipulation, analysis, and automation • Hands-on experience with BI/visualization tools (Tableau, Power BI, or similar) • Familiarity with engineering workflows and tools (JIRA, Git, CI/CD concepts) • Ability to work independently and manage multiple priorities in a fast-paced environment • Excellent communication skills—can translate data into clear insights for technical and non-technical audiences (Preferred) • Experience with Looker (LookML knowledge a plus) • Experience with engineering metrics (velocity, cycle time, DORA metrics) • Exposure to HR/people analytics (capacity planning, attrition analysis) • Familiarity with data pipeline tools (dbt, Airflow, or similar) • Experience working with distributed/global teams across multiple timezones • Background in ad tech, media, or high-growth technology companies • Operational Excellence – Systematic approach to problem-solving; attention to detail and data accuracy • Self-Direction – Proactively identifies gaps and opportunities without waiting to be asked • Global Mindset – Comfortable collaborating asynchronously with distributed teams across timezones • Clear Communication – Explains complex analysis simply; writes documentation others can follow • Continuous Improvement – Iterates on dashboards and processes based on user feedback

YOUR MISSION RESPONSIBILITIES True Anomaly is seeking a Re-Entry Vehicle Modeling & Test Engineer to support modeling and simulation efforts for re-entry vehicle ground tests, contributing to aerothermal, thermal, and structural analyses under hypersonic conditions. The engineer will assist in the planning and execution of ground test campaigns at facilities such as wind tunnels, arc jets, and other high-enthalpy environments, working under the guidance of senior engineers and test leadership. Responsibilities include developing and applying physics-based models to inform test design and predict test outcomes, as well as providing support during test execution through data monitoring and preliminary assessments. Following test activities, the engineer will perform data reduction, analysis, and correlation to compare experimental results with analytical and numerical predictions. The role also includes contributing to the design and analysis of re-entry vehicle systems, including aerodynamics, thermal protection systems, and materials behavior in hypersonic environments. Throughout these activities, the engineer will document methodologies, results, and findings in clear technical reports and presentations and collaborate closely with multidisciplinary teams across test, design, and systems engineering. QUALIFICATIONS Required Qualifications & Experience Ph.D. in Aerospace Engineering, Mechanical Engineering, or a closely related field, with a research focus in hypersonics, high-speed aerodynamics, or re-entry physics. Strong foundation in hypersonic flow physics, aerothermal heating, and heat transfer. Hands-on experience (academic or research-based) with modeling and simulation tools for fluid, thermal, or structural analysis. Experience analyzing and interpreting experimental or test data, including uncertainty assessment and model validation. Familiarity with ground test methods relevant to hypersonic or re-entry environments (e.g., wind tunnels, arc jets, plasma facilities). Ability to communicate technical results clearly in written reports and oral presentations. Desired Qualifications & Experience Dissertation or research experience involving hypersonic ground testing or test-to-model correlation. Experience with CFD, thermal analysis, or multiphysics simulation tools commonly used in hypersonics research. Exposure to thermal protection materials or structures for re-entry vehicles. Experience working in team-based research environments with experimental and computational components. Interest in transitioning academic research into applied aerospace programs. COMPENSATION Base Salary: Denver - $180,000 - $245,000, Long Beach - $190,000-$260,000 Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 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. RESPONSIBILITIES True Anomaly is seeking a Re-Entry Vehicle Modeling & Test Engineer to support modeling and simulation efforts for re-entry vehicle ground tests, contributing to aerothermal, thermal, and structural analyses under hypersonic conditions. The engineer will assist in the planning and execution of ground test campaigns at facilities such as wind tunnels, arc jets, and other high-enthalpy environments, working under the guidance of senior engineers and test leadership. Responsibilities include developing and applying physics-based models to inform test design and predict test outcomes, as well as providing support during test execution through data monitoring and preliminary assessments. Following test activities, the engineer will perform data reduction, analysis, and correlation to compare experimental results with analytical and numerical predictions. The role also includes contributing to the design and analysis of re-entry vehicle systems, including aerodynamics, thermal protection systems, and materials behavior in hypersonic environments. Throughout these activities, the engineer will document methodologies, results, and findings in clear technical reports and presentations and collaborate closely with multidisciplinary teams across test, design, and systems engineering. QUALIFICATIONS Required Qualifications & Experience Ph.D. in Aerospace Engineering, Mechanical Engineering, or a closely related field, with a research focus in hypersonics, high-speed aerodynamics, or re-entry physics. Strong foundation in hypersonic flow physics, aerothermal heating, and heat transfer. Hands-on experience (academic or research-based) with modeling and simulation tools for fluid, thermal, or structural analysis. Experience analyzing and interpreting experimental or test data, including uncertainty assessment and model validation. Familiarity with ground test methods relevant to hypersonic or re-entry environments (e.g., wind tunnels, arc jets, plasma facilities). Ability to communicate technical results clearly in written reports and oral presentations. Desired Qualifications & Experience Dissertation or research experience involving hypersonic ground testing or test-to-model correlation. Experience with CFD, thermal analysis, or multiphysics simulation tools commonly used in hypersonics research. Exposure to thermal protection materials or structures for re-entry vehicles. Experience working in team-based research environments with experimental and computational components. Interest in transitioning academic research into applied aerospace programs. COMPENSATION Base Salary: Denver - $180,000 - $245,000, Long Beach - $190,000 - $260,000 Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 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. ADDITIONAL REQUIREMENTS Work Location-Successful candidates will be located near Denver or Colorado Springs. While we observe a hybrid work environment, some work must be done on site. Work environment-the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job. Physical demands-the physical demands of the job, including bending, sitting, lifting and driving. This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Hybrid To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (IT AR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. We value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. True Anomaly is committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Job Summary: We are seeking an Entry Level Production Technician to support the testing and validation of network appliances in a production environment. This role is ideal for recent graduates or early-career candidates with an academic background in Engineering who are looking to gain hands-on experience working with networking hardware, test procedures, and manufacturing processes. The technician will perform low-level functional testing, follow detailed work instructions, and help ensure product quality prior to release. Responsibilities: Perform low-level functional and basic network testing on network appliances and related hardware Execute test procedures according to established work instructions, test plans, and quality standards Set up test environments, including cabling, power, and basic network configurations Identify, document, and report test failures, defects, and irregularities to engineering or quality teams Assist with troubleshooting hardware and basic firmware or configuration issues under guidance Record test results accurately in tracking systems, logs, or manufacturing databases Verify units meet quality, performance, and configuration requirements prior to shipment Follow ESD, safety, and production floor procedures at all times Support continuous improvement efforts by providing feedback on test processes and documentation Collaborate with Production, Quality, and Engineering teams as needed $17 - $18 an hour

About Atria: Atria is a membership-based preventive health care practice delivering cutting-edge primary and specialty care in New York, South Florida, Los Angeles (2026), and through 24/7 telemedicine globally. Our multi-specialty team of 60+ top in-house physicians provides proactive, preventive, and precision-based care for Atria members and their families. We aim to optimize lifespan and healthspan through meticulous screening, leading-edge therapeutics, and tailored interventions designed to prevent disease and detect it at the earliest possible stages. Each member's care is led by a dedicated Chief Medical Officer who collaborates with specialists in cardiology, neurology, pediatrics, women's health, endocrinology, integrative health, performance and movement, nutrition, and more. Through our nonprofit Atria Research Institute and Public Health Institute, we also work to accelerate the translation of medical breakthroughs and expand access to preventive care for as many people as possible. We're seeking a mid-level Data Analyst to join our Technology organization and support the concierge healthcare team. This role goes beyond traditional reporting—you'll be instrumental in building the data infrastructure that powers business decisions while becoming a trusted advisor on healthcare operations and strategy. You'll own our reporting ecosystem, transforming raw healthcare data into actionable insights that drive patient care and business outcomes. Your work will directly inform clinical operations, member experience initiatives, and strategic planning. Reporting & Analytics Design and maintain dashboards and reports that track key healthcare metrics including patient outcomes, utilization patterns, provider performance, and member satisfaction Partner with clinical and operations teams to understand their data needs and deliver self-service analytics solutions Conduct ad-hoc analyses to answer critical business questions and support strategic initiatives Analytics Engineering Build and maintain semantic layers that make our data accessible and reliable across the organization Create structured data environments that enable analytics agents and automated reporting Develop data models that balance technical rigor with business usability Establish data quality standards and monitoring processes Business Partnership Develop deep expertise in concierge healthcare operations, understanding both the clinical and business contexts Translate complex healthcare data into clear narratives that drive decision-making at all levels Collaborate with leadership to identify opportunities for improving patient care and operational efficiency Evolve from data provider to strategic partner who helps shape business direction Salary range: $110,000 - $140,000 Requirements SQL proficiency: You write clean, efficient queries and understand how to optimize for performance Visualization expertise: Experience building intuitive dashboards in Tableau, Looker, Omni, or similar platforms Analytical thinking: You naturally ask "why" and can structure ambiguous problems into clear analytical frameworks Communication skills: You can explain technical concepts to non-technical stakeholders and tell compelling stories with data Preferred Experience 3-5 years of experience in a data analyst or similar role Experience in healthcare, preferably in value-based care, concierge medicine, or similar models Familiarity with data modeling concepts and analytics engineering principles Experience working cross-functionally with clinical, operations, and executive teams What Sets You Apart You're curious about the business, not just the data—you want to understand the "so what" behind every analysis Work well with product to make analytics scalable and self-serviceable You're comfortable with ambiguity and can define your own scope when given open-ended questions You have a bias toward action and iterate quickly rather than pursuing perfect analyses Benefits At Atria, we are proud to offer every member of the Atria team: Excellent health and wellness benefits, 100% paid by Atria effective date of hire OneMedical membership for employees & dependents giving access to 24/7 virtual care Fertility & family planning Company-covered preventive health screenings through partner hospitals (Calcium score) Fitness Perks including Wellhub + 401k contributions and 4% match starting after 6 months Flexible Time Off Continuing medical education (CME) and CEU support for professional licensure Time to give back and make an impact in underserved communities

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries. In this role, the VP will support the U.S. Banks Data Quality Risk Program for driving compliance with the Firm's Data Quality Policy and procedures. The VP role is in the U.S. Banks First Line Business Risk team. This team is responsible for managing risks associated with Data Quality. This role requires regular interaction and partnership with other divisions across firm, technology, Bank Business partners, Bank Data Stakeholders, Compliance, Second Line Risk, and Internal Audit. Primary Responsibilities Include: Establish and execute consistent processes to effectively expand the Banks Data Quality Risk oversight (e.g. identification of prioritized data for the U.S. Banks). Lead data flow analysis with a solid technical understanding to assess existing data quality controls, oversee onboarding of data quality controls to DQ Control Monitoring platform, and lead fit-for-purpose attestations by partnering with Business and Technology partners. Identify business data ownership, manage cataloging of metadata into the Firmwide Data Catalog (Collibra), and control ownership among Bank Business and Technology partners. Lead the development of metrics and dashboards for periodic Senior Management updates and reporting in various forums including Banks Data Quality Risk Management Committee. Deliver updates and presentations to senior audiences in relevant committees and forums. Product owner of the DQ Control Monitoring platform, recommending enhancements, and managing implementations with the technology team. Manage Data Quality control monitoring and exception resolution process. Manage the identification and mitigation of data related issues related to processes, reporting, technical issues, or controls impacting data Consumers. Develop and update procedures and/or processes needed to ensure compliance to the Global Data Quality Policy. Team management responsibilities to oversee key Data Quality Risk processes, providing mentoring, supervisory oversight, and coordination. Qualifications: Minimum 6-8 years of experience in financial services. Bachelor's Degree required. Experience with data governance, data quality, data analysis, data lineage processes. Strong technical and analytical skills with a focus on fixing data issues at the source. Understanding of BCBS 239 and Global Financial Crimes risk management and control concepts. Ability to collaborate with cross-functional stakeholders. Ability to run meetings with multiple stakeholders and business areas. Strong written and verbal communication skills and ability to lead effective meetings. Strong organizational skills, attention to detail, and proven track record of project prioritization, execution, and risk management. Highly motivated, self-starter with a clear accountability & ownership mindset and ability to challenge assumptions. Sound judgment and ability to escalate project risks and issues. Advanced proficiency in Microsoft Excel, PowerPoint, Outlook, Word, Visio and other MS Office Tools. Experience with data governance and data quality tools (e.g. Collibra, Informatica). WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Expected base pay rates for the role will be between $110,000 and $190,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

About impact.com impact.com is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products-Performance (affiliate), Creator (influencer), and Advocate (customer referral)-unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands, including Walmart, Uber, Shopify, Lenovo, L'Oréal, and Fanatics, rely on impact.com to power more than 225,000 partnerships that deliver measurable business results. Your Role at impact.com: We are looking for a data expert at impact.com to lead our go-to-market data governance and quality initiatives with a lens of AI up-leveling. You won't just pull reports; you will own the integrity and governance of our GTM stack-from Salesforce to Gong-ensuring our data is seamless, standardized, and actionable. By bridging the gap between technical data modeling and real-world sales strategy, you'll empower leadership with the high-fidelity insights needed to scale our growth. What You'll Do: GTM Data Ownership: Own all data integrity, standardization, and quality across the entire GTM stack, including Salesforce, Clari, SalesLoft, Gong, and LinkedIn Sales Navigator and others. Lead Data Governance: Design, implement, and lead data governance policies (e.g., standard definitions, data dictionaries) specifically for core GTM entities (Leads, Contacts, Accounts, Opportunities). Cross-System Data Quality: Establish and maintain automated checks and remediation processes to ensure data consistency and accuracy across all integrated systems. Reporting & Insights: Develop complex SQL queries and BI visualizations to analyze GTM performance (funnel metrics, ROI) and report on the direct business impact of data quality issues. Data Architecture Partnership: Collaborate with Data Engineering and Operations teams to define requirements for system integrations, data modeling, and infrastructure improvements. Documentation & Maintenance: Create and rigorously maintain detailed data dictionaries, governance standards, and comprehensive documentation for all owned GTM data assets and processes. Stakeholder Enablement: Partner directly with Sales and Marketing Operations to translate data quality findings into clear, actionable process and training updates for end-users. AI-driven Mindset: Drive all decision making with an AI-drive approach with scalability at the forefront. What You'll Bring: Experience: 4+ years of experience in a Data Analyst or Business Intelligence role, with a strong focus on Marketing, Sales, or GTM operational data, preferably within a SaaS environment. Technical Proficiency: Expert proficiency in SQL and demonstrable experience with a major BI tool (e.g., Tableau, Looker, Power BI). Strong familiarity with the Salesforce data model is required. Education: Bachelor's degree in a quantitative field (e.g., Business Analytics, Data Science, Statistics, Computer Science) or equivalent practical experience. Soft Skills: Exceptional communication and interpersonal skills, with a proven ability to influence cross-functional stakeholders and manage complex data conversations between technical and business teams. Salary Range: $90,000 - $100,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant. *This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Benefits and Perks: At impact.com, we believe that when you're happy and fulfilled, you do your best work. That's why we've built a benefits package that supports your well-being, growth, and work-life balance. Medical, Dental, and Vision insurance Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled Flexible spending accounts and 401(k) Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life. Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health. A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval. Investing in Your Growth: We're committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses. Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver. Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors. #LI-Hybrid

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building. Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare's greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve. Overview: The Senior Health Data Scientist will lead and serve as subject matter expert to highly complex data extracts, programming, and analytical modeling capabilities in support of the team's services to internal and external clients. The Senior position provides guidance and support as needed to junior staff. The team consists of staff with specialized experience, such as statisticians, researchers, health economists, clinicians, and project managers, who conceptualize, execute, and deliver qualitative, analytical, and strategy-based work products for clients. We also work closely with other product teams and business units, applying the full scope of the company's knowledge base to the development of multi-disciplinary, creative solutions on behalf of our clients. Business Unit: Insights - Health Data Science Team This team is the data subject matter expert within the Insights business unit. Their role is to support teams across the organization to bridge the gap between product and engineering. Assist with translating the high-level product vision from the product lead by: 1) Writing detailed logic/algorithm requirements 2) Building prototypes 3) Best practices consulting, and 4) User acceptance testing. This also involves data profiling, data investigation, root-cause analyses, etc. Duties and Responsibilities: Serve as lead when working collaboratively with product leads, managers, and owners to draw insight and intelligence from large administrative claims datasets, electronic medical records, and various healthcare registry datasets; Identify and develop solutions that can be implemented to key strategic business problems using high-level modeling and statistical analyses techniques; Utilize SQL to perform advanced-level data extraction, transformation and data management; fully document and manage library of source code and algorithms for future use; Identify, develop, and test hypotheses in support of research and product offerings, and communicate findings in a clear, precise, and actionable manner to our clients; Respond to and lead highly complex operational data requests and create ad-hoc queries to support research projects; Serve as lead when working closely with Inovalon's Enterprise Data Platform teams to identify, understand, and resolve data issues and improve the efficiency, productivity, and scalability of the company's data processes; Troubleshoot complex production-related issues and coordinate successful resolution; Assist with the evaluation of data analytic vendors and tools; Maintain compliance with Inovalon's policies, procedures and mission statement; Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon's Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company; Uphold responsibilities relative to the separation of duties for applicable processes and procedures within your job function; and We reserve the right to change this job description from time to time as business needs dictate and will provide notice of such. Job Requirements: 5 + years of professional experience in healthcare or pharmaceutical industries working with administrative claims data and electronic medical records; Strong SQL programming skills in addition to working knowledge and experience using statistical analysis tools such as SAS, R, and Python; Demonstrated problem solving, analytical reasoning, and decision-making skills; Strong understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex, and incomplete sources; Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.) and good understanding of design and architecture principles; Exhibit strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines; Excellent analytical skills and ability to understand and interpret results based on advanced statistical techniques; Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences; Ability to work under minimal supervision in a fast-paced multidisciplinary environment; Advanced knowledge of health care, health policy, pharmaceutical, medical device, and related issues; Superior customer service in the form of first-rate work product and project management; Strong ability to manage challenging client situations; Strong ability to troubleshoot and recommend solutions; and Strong ability to translate complex information for a wide range of clients. Education: Master's degree in computer science, data science, applied mathematics, econometrics, statistics, engineering, physics, or related discipline; or equivalent combination of education and experience Physical Demands and Work Environment: Sedentary work (i.e. sitting for long periods of time); Exerting up to 10 pounds of force occasionally and/or negligible amount of force; Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions; Subject to inside environmental conditions; and Travel for this position will include less than 5% locally usually for training purposes. Inovalon Offers a Competitive Salary and Benefits Package In addition to the base compensation, this position may be eligible for performance-based incentives. The actual base pay offered may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal equity. At Inovalon, it is not typical for an individual to be hired at or near the top end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. Inovalon invests in associates to help them stay healthy, save for long-term financial goals, and manage the demands of work and personal commitments. That's why Inovalon offers a valuable benefits package with a wide range of choices to meet associate needs, which may include health insurance, life insurance, company-paid disability, 401k, 18+ days of paid time off, and more. Base Compensation Range $113,000-$150,000 USD This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions) If you don't meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles. By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth. Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement. To review the legal requirements, including all labor law posters, please visit this link To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link

We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. #LI-Hybrid The main goal of the DE team in 2024-25 is to build robust golden data sets to power our business goals of creating more insights based products. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. Data Engineers heavily leverage SQL and Python to build data workflows. We use tools like DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. Our engineering culture is IC-driven -- we favor bottom-up ideation and empowerment of our incredibly talented team. We are looking for engineers who are motivated by creating impact for our consumers and customers, growing together as a team, shipping the MVP, and leaving things better than we found them. You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownership and scope of internal datasets and visualizations across Plaid which is a currently unowned area that we intend to take over and build SLAs on. You will have the opportunity to learn best practices and up-level your technical skills from our strong DE team and from the broader Data Platform team. You will collaborate with and have strong and cross functional partnerships with literally all teams at Plaid from Engineering to Product to Marketing/Finance etc. Responsibilities Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles. Have data quality and performance top of mind while designing datasetsLeading key data engineering projects that drive collaboration across the company. Advocating for adopting industry tools and practices at the right timeOwning core SQL and python data pipelines that power our data lake and data warehouse. Well-documented data with defined dataset quality, uptime, and usefulness. Qualifications 4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale. You've have experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes) You value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow. You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks. You have experience building and maintaining batch and realtime pipelines using technologies like Spark, Kafka. You appreciate the importance of schema design, and can evolve an analytics schema on top of unstructured data. You are excited to try out new technologies. You like to produce proof-of-concepts that balance technical advancement and user experience and adoption. You like to get deep in the weeds to manage, deploy, and improve low level data infrastructure. You are empathetic working with stakeholders. You listen to them, ask the right questions, and collaboratively come up with the best solutions for their needs while balancing infra and business needs. You are a champion for data privacy and integrity, and always act in the best interest of consumers. $180,000 - $270,000 a year The target base salary for this position ranges from $180,000/year to $270,000/year in Zone 1. The target base salary will vary based on the job's location. Our geographic zones are as follows: Zone 1 - New York City and San Francisco Bay Area Zone 2 - Los Angeles, Seattle, Washington D.C. Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego Zone 4 - Raleigh-Durham and all other US cities Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected] Please review our Candidate Privacy Notice here.

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries. In this role, the Associate will support the U.S. Banks Data Quality Program by driving compliance with the Firm's Data Quality Policy and procedures, with a focus on BCBS 239 requirements across Risk and Finance. The Associate role is in the U.S. Banks First Line Business Risk team. This team is responsible for managing risks associated with Data Quality. This role requires regular interaction with other divisions across firm, technology, Bank Business partners, Bank Data Stakeholders, Compliance, Second Line Risk and Internal Audit. Primary Responsibilities Include: Ensure compliance with the Global Data Quality Policy and BCBS 239 standards for prioritized data domains across U.S. Banks. Partner with the Firm Data Office, Divisional Data Offices, and Technology teams to: Conduct data flow analysis. Assess and monitor data quality controls. Identify data owners and catalog metadata in Collibra. Manage annual re-attestation processes. Define solutions including dashboards, automated communications, and data quality management processes. Partner with project and technology teams to enhance controls and optimize data processes. Develop and maintain dashboards and performance metrics for periodic reporting to management committees and senior leadership. Maintain procedural documentation, including desktop procedures, to support consistent execution. Partner with technology teams to ensure data sourcing from authoritative systems to improve data quality. Communicate project progress, risks, and issues to stakeholders with clarity and consistency. Qualifications Bachelor's degree in Business, Finance, or a related field. Minimum 2 - 3 years of professional experience, ideally within the financial services industry, with demonstrated expertise in data management, governance, quality, lineage, and issue remediation. Advanced proficiency in Microsoft Excel, PowerPoint, Outlook, Word, Visio and other MS Office Tools. Proven ability to collaborate across functions and manage multiple priorities in a fast-paced, Agile environment. Strong Attention to detail and the ability to handle, prioritize multiple tasks and projects concurrently. Highly motivated / self-starter with a sense of accountability & ownership, willingness to learn, and ability to work independently. Excellent written and verbal communication skills. Experience performing business analysis, writing business requirement document, and creating mock dashboards. The ability to work effectively within a local and global team, as well as independently. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Expected base pay rates for the role will be between $58,000 and $115,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

The main goal of the DE team in 2024-25 is to build robust golden data sets to power our business goals of creating more insights based products. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. Data Engineers heavily leverage SQL and Python to build data workflows. We use tools like DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. Our engineering culture is IC-driven -- we favor bottom-up ideation and empowerment of our incredibly talented team. We are looking for engineers who are motivated by creating impact for our consumers and customers, growing together as a team, shipping the MVP, and leaving things better than we found them. You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownership and scope of internal datasets and visualizations across Plaid which is a currently unowned area that we intend to take over and build SLAs on. You will have the opportunity to learn best practices and up-level your technical skills from our strong DE team and from the broader Data Platform team. You will collaborate with and have strong and cross functional partnerships with literally all teams at Plaid from Engineering to Product to Marketing/Finance etc. Responsibilities Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles. Have data quality and performance top of mind while designing datasets Advocating for adopting industry tools and practices at the right time Owning core SQL and Python data pipelines that power our data lake and data warehouse Well-documented data with defined dataset quality, uptime, and usefulness. Qualifications 2+ years of dedicated data engineering experience, solving complex data pipeline issues at scale. You have experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes) You value SQL as a flexible and extensible tool and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow. [Nice to have] You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks [Nice to have] You have experience building and maintaining batch and real-time pipelines using technologies like Spark, Kafka. $163,200 - $223,200 a year The target base salary for this position ranges from $163,200/year to $223,200/year in Zone 1. The target base salary will vary based on the job's location. Our geographic zones are as follows: Zone 1 - New York City and San Francisco Bay Area Zone 2 - Los Angeles, Seattle, Washington D.C. Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego Zone 4 - Raleigh-Durham and all other US cities Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We're a global organization with teams in the UK, Denmark, Canada, and the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to build a flexible platform that will allow us to adapt to those rapid changes. We're looking for a Senior Data Platform Engineer to join our Data Cloud team. This group accelerates innovation & helps unlock new business lines, by empowering anyone at Chainalysis to quickly and reliably discover, access, analyze, and build on top of any and all data. You'll be a key leader in creating and optimizing our petabyte-scale data storage, data processing, and data querying platforms. If you're passionate about enabling high-performance interactive analytics, real-time streaming data applications, and deploying cloud infrastructure at scale with enterprise-grade reliability, we want you to join our talented and growing team! In this role, you'll: Help define the technical vision of the team/org, articulate how our data platform and architecture could evolve Design, implement, and optimize our high-performance, scalable data serving platform that enables data querying and consumption across the organization and external facing data products Design, implement, and optimize our high-performance, scalable data storage and transformation platform that enables both batch and stream processing with 100+ million updates per day on datasets > 100 billion rows Build seamless integrations between Data Cloud and various relational and noSQL OLTP databases Build batch and streaming data pipelines for core blockchain datasets widely used across the company Deploy cloud infrastructure at scale with enterprise-grade reliability, implement and maintain infrastructure automation and self-service, and create robust CI/CD pipelines Establish and maintain observability, security, and data governance solutions to ensure high quality, efficiency, and reliability of data pipelines We're looking for candidates who have: 6+ years of experience as a Data Platform Engineer or Data Engineer or Data Infrastructure Engineer, with hands-on expertise in building and maintaining cloud-based data platforms at large scale Passion for leading/contributing towards the technical vision of the team/org, strong ownership of mission critical systems, dedication to honing their craft while mentoring others Experience in building and maintaining both batch and streaming data pipelines using DBT/Databricks/Apache Spark/Apache Flink, as well as deep understanding of data architecture and data modeling best practices Expertise with AWS services, cloud architecture, fault-tolerant distributed data systems, and proficiency with Terraform for provisioning and managing cloud infrastructure Deep understanding of modern data lakehouse architectures and ecosystem such as Kafka, Flink, Spark, Databricks, Snowflake, DBT, Airflow, Debezium, Delta/Iceberg, StarRocks, Clickhouse, and proficient with Python/Java and SQL Experience building tools and frameworks to accelerate the development of data pipelines, and familiarity with data governance, data quality, and observability best practices Nice to have Experience: Exposure to or interest in the cryptocurrency technology ecosystem Experience working with different blockchain technologies is a plus Technologies we use: Data Lakehouse: Kafka, Flink, Spark, Databricks, DBT, Debezium, StarRocks/Clickhouse AWS Services: MSK, EC2, VPC, IAM, S3, SQS, Managed Flink, EKS, etc. About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That's where Chainalysis comes in. We provide complete knowledge of what's happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence. You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We're ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can't wait to meet you.

Who We Are At Corebridge Financial, we believe action is everything. That's why every day we partner with financial professionals and institutions to make it possible for more people to take action in their financial lives, for today and tomorrow. We align to a set of Values that are the core pillars that define our culture and help bring our brand purpose to life: We are stronger as one: We collaborate across the enterprise, scale what works and act decisively for our customers and partners. We deliver on commitments: We are accountable, empower each other and go above and beyond for our stakeholders. We learn, improve and innovate: We get better each day by challenging the status quo and equipping ourselves for the future. We are inclusive: We embrace different perspectives, enabling our colleagues to make an impact and bring their whole selves to work. Who You'll Work With The Information Technology organization is the technological foundation of our business and works in collaboration with our partners from across the company. The team drives technology and digital transformation, partners with business leaders to design and execute new strategies through IT and operations services and ensures the necessary IT risk management and security measures are in place and aligned with enterprise architecture standards and principles. About The Role We are seeking a highly skilled Sr. Data Analyst with a strong background in the Life and Retirement Insurance industry to join our growing Data & Analytics team. This role is critical in shaping how we manage, store, and leverage data across the organization to drive insights and operational excellence. Data Analyst will lead complex data initiatives to provide actionable insights for operational efficiency, product development and risk management. The candidate will be part of the Information Management organization responsible for providing source-to-target data mappings and bridging the gap between business stakeholders (policy admins, Actuarial, Underwriting, Marketing and operations) and IT data engineering teams to ensure enterprise data models accurately reflects data for Life and Annuity products. You will be responsible for creating/maintaining BI reports using tools like Tableau/PowerBI. Responsibilities Lead source-to-target data mapping for Enterprise Data Warehouse, focusing on complex Life and Retirement products. Create and maintain paginated/interactive dashboards and reports using tools like Tableau or PowerBI. Perform data analysis on raw source data and enterprise data warehouses/data marts to access and maintain data quality. Develop and maintain metadata definitions for sourcing data stores and all evolutions of the Data Lake from ingested sources to consumers. Work with stakeholders across departments to develop analytical solutions for business challenges. Participate in data governance initiatives and ensure data integrity, consistency, and quality. Create and maintain data dictionaries, ER diagrams, and mapping documentation. Facilitate data requirements meetings with stakeholders to drive data solutions. Assist developers with query development and performance optimization. Collaborate with other technology teams and architects to define and develop solutions. This is a hands-on role. Skills and Qualifications Bachelor's or Master's degree in Information Technology or related field preferred, or equivalent work experience. A seasoned IT professional with senior leadership qualities and background with a minimum of 10 years' experience in IT. 8+ years of experience in data analysis and 5+ years within financial services in Life/Retirement business. 8+ years of experience SQL and BI tools like Tableau/PowerBI. 10+ years of experience in the IT Industry. Strong working knowledge of SQL, Data Analysis tools like Python/R to analyze large datasets for trends. Perform "root cause analysis" on data quality issues to maintain integrity of highly sensitive financial data. Deep understanding of Life Insurance and Retirement (Individual and Group) industry space preferred. Excellent technical and organizational skills. Familiarity with data governance frameworks (Collibra, Informatica, Erwin). Strong communication and team skills. Proficiencies with Agile development practices. Experience with relational and dimensional data modeling. Strong knowledge of reporting modeling concepts, including dimensional, snowflakes, slowly changing dimensions, and surrogate, compound and intelligent keys. Experience with cloud platforms like AWS, Azure. Familiarity with data warehousing concepts and ETL processes Compensation The anticipated salary range for this position is $135,000 to $185,000 at the commencement of employment for the Jersey City, NJ area. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered will ultimately be dependent on multiple factors, which may include the candidate's geographic location, skills, experience and other qualifications. In addition, the position is eligible for a discretionary bonus in accordance with the terms of the applicable incentive plan. Corebridge also offers a range of competitive benefits as part of the total compensation package, as detailed below. Work Location This position is based in Corebridge Financial's Houston, TX, or Jersey City, NJ office and is subject to our hybrid working policy, which gives colleagues the benefits of working both in an office and remotely. Estimated Travel May include up to 25%. #LI-SAFG #LI-CW1 #LI-Hybrid Why Corebridge? At Corebridge Financial, we prioritize the health, well-being, and work-life balance of our employees. Our comprehensive benefits and wellness program is designed to support employees both personally and professionally, ensuring that they have the resources and flexibility needed to thrive. Benefit Offerings Include: Health and Wellness: We offer a range of medical, dental and vision insurance plans, as well as mental health support and wellness initiatives to promote overall well-being. Retirement Savings: We offer retirement benefits options, which vary by location. In the U.S., our competitive 401(k) Plan offers a generous dollar-for-dollar Company matching contribution of up to 6% of eligible pay and a Company contribution equal to 3% of eligible pay (subject to annual IRS limits and Plan terms). These Company contributions vest immediately. Employee Assistance Program: Confidential counseling services and resources are available to all employees. Matching charitable donations: Corebridge matches donations to tax-exempt organizations 1:1, up to $5,000. Volunteer Time Off: Employees may use up to 16 volunteer hours annually to support activities that enhance and serve communities where employees live and work. Paid Time Off: Eligible employees start off with at least 24 Paid Time Off (PTO) days so they can take time off for themselves and their families when they need it. Eligibility for and participation in employer-sponsored benefit plans and Company programs will be subject to applicable law, governing Plan document(s) and Company policy. We are an Equal Opportunity Employer Corebridge Financial, is committed to being an equal opportunity employer and we comply with all applicable federal, state, and local fair employment laws. All applicants will be considered for employment based on job-related qualifications and without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, neurodivergence, age, veteran status, or any other protected characteristic. The Company is also committed to compliance with all fair employment practices regarding citizenship and immigration status. At Corebridge Financial, we believe that diversity and inclusion are critical to building a creative workplace that leads to innovation, growth, and profitability. Through a wide variety of programs and initiatives, we invest in each employee, seeking to ensure that our colleagues are respected as individuals and valued for their unique perspectives. Corebridge Financial is committed to working with and providing reasonable accommodations to job applicants and employees, including any accommodations needed on the basis of physical or mental disabilities or sincerely held religious beliefs. If you believe you need a reasonable accommodation in order to search for a job opening or to complete any part of the application or hiring process, please send an email to TalentandInclusion@corebridgefinancial.com. Reasonable accommodations will be determined on a case-by-case basis, in accordance with applicable federal, state, and local law. We will consider for employment qualified applicants with criminal histories, consistent with applicable law. To learn more please visit: www.corebridgefinancial.com Functional Area: IT - Information Technology Estimated Travel Percentage (%): No Travel Relocation Provided: No American General Life Insurance Company

"I can be myself at work." You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace. We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community. "I can influence my income." You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses. "I can lead a full life." You bring unique goals and interests to your job and your life. Whether you're raising a family, you're passionate about where you volunteer, or you want to explore different career paths, we'll give you the resources that can set you up for success. Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as the Global Director of Software and Data Engineering, Enterprise Data Office" As the Global Director of Software and Data Engineering, Enterprise Data Office (EDO), you will be at the helm of transforming how Capital Group leverages data to launch new products and investment strategies to the market and drive strategic growth. You will inspire and lead high-performing engineering teams to build innovative, scalable, and resilient software and data solutions that empower our global Operating Groups, including Investment Operations, ITG, and Global Finance, and the many stakeholders in the Investment Group and Client Groups they serve. You will lead in areas that are critical to Capital Group's market success, including product data management, client-facing data, and marketing/publishing data automation. This role is a unique opportunity to shape the future of both software and data engineering at Capital Group-where creativity meets strategy, and fun is part of the journey. You will partner with senior leaders across the enterprise to align technology investments with business priorities, champion a culture of engineering excellence, and foster an environment where diverse perspectives and continuous learning thrive. "I am the person Capital Group is looking for" You are a visionary leader who will inspire a team of 100+ associates and contractors to innovate and deliver with purpose. You have a proven track record of leading large-scale engineering organizations, complex initiatives that require transformational change, and developing future leaders. You foster a culture of inclusion, collaboration, and continuous improvement, instilling engineering rigor and discipline in your teams. You are a strategic thinker who connects the dots between strategic business outcomes and data and technology solutions. You demonstrate clear vision and experience in delivering user experiences and apps that delight end users and make data accessible in compelling and dynamic manners You lead with empathy and empower teams to take ownership and drive results. You are passionate about modern engineering practices, AI and data-driven decision making in fast paced organizations. You are a demonstrated leader, preferably with deep experience in Asset Management, with expertise in product data and analytics, Investment Operations and market-facing demands. You are a strong communicator who builds trust and alignment across diverse stakeholder groups, employing strong relationship management and influence. You thrive in a dynamic environment and are energized by solving the most complex challenges facing the Buy Side Asset Management industry. You present plans clearly to executives, including the EDO Leadership team, linking them to broader strategies and promoting partnership. You are excited to shape the future of EDO's structure, processes and operating model in a way that provides clarity and reinforces accountability. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. 15+ years of experience in software and data engineering or AI/data science, with at least 5 years in senior leadership roles. Demonstrated success in leading global, cross-functional engineering teams. Deep expertise in modern data and software engineering platforms and practices (e.g., cloud-native architectures, modern application design, CI/CD, DevOps, data mesh). Experience driving enterprise-wide technology transformations and delivering measurable business impact. Strong expertise in the Financial Services and Asset Management industries and ability to influence at all levels of the organization. Commitment to developing talent and building high-performing, diverse teams. Experience with platforms and tools such as AWS, Azure, Python, Spark, Airflow, Kubernetes, DBT, Databricks, and modern front-end frameworks. "I can apply in less than 4 minutes." You've reviewed this job posting and you're ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn't what you're looking for, check out our other opportunities and join our talent community. "I can learn more about Capital Group." At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That's why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people's lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor. Southern California Base Salary Range: $263,560-$448,052 In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings. You can learn more about our compensation and benefits here. Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans. We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. athenahealth is building an AI-first future for healthcare and our data platform is foundational to making that future real. We are seeking a Senior Architect to lead the architecture and drive that foundation for our Data & Analytics Platform, a critical capability that powers analytics, intelligence, and AI across the athenahealth ecosystem. This role owns the architect strategy and outcomes for how data is ingested, modeled, governed, and activated - supporting everything from real-time analytics and observability to embedded intelligence, customer insights, and commercial data products. Reporting to the VP of Engineering in Data & Ecosystem Platform, this influential leader will work with key technical leaders across the org to drive our data and analytics architecture well in the future and use our data as an advantage balancing cost, latency, security, compliance, and operational simplicity. They will demonstrate exceptional design abilities and engineering excellence with data at scale. Key Responsibilities Own end-to-end architecture for athenahealth's Data & Analytics Platform (ingestion -> storage ->compute -> semantic/servicing layers). Produce accurate, unambiguous technical design specifications that will be accepted by the broader engineering leadership community. Identify and influence solutions to complex technical issues. Build prototype and POC's to promote new technologies and processes. Act as a trusted peer to AI/ML leaders, shaping how data platforms accelerate copilots, agents, and embedded intelligence. Lead by example, delivering high-quality code for critical sections of the product and/or platform; champion quality standards, performance and scalability. Provide cross-functional coordination and communication, and mentorship of less senior team members. Focus on data governance, security, and compliance. Leadership & Collaboration Partner closely with Product leadership to align architectural decisions and execution realities with product strategy. Act as a trusted peer to AI/ML leaders, shaping how data platforms accelerate copilots, agents, and embedded intelligence. Serve as a visible leader across athenahealth, translating complex platform concepts into clear, outcome-oriented narratives. Experience leading working teams across geographies, with the ability to engage in difficult conversations to achieve goals while maintaining positive relationships. Must be laser-focused on objectives and capable of influencing both technical and non-technical teams. Qualification and Experience 12-14 years' experience as an architect/leader including senior/principal-level ownership of large-scale data systems. Deep knowledge of data lake/lakehouse architecture: ingestion, storage formats, compute engines, metadata/catalog, governance as well as database experience. Proven experience integrating heterogeneous sources across on-prem + cloud, including migration/hybrid patterns. Strong fundamentals in distributed systems, data modeling, and performance optimization (partitioning, indexing, clustering, caching). Experience with AI - ML or LLM/Agentic frameworks. Expertise in modern programming object-oriented languages such as C#, C++, Perl, Java, Python, and JavaScript/React. Understanding of scalable, cloud architecture and experience in applying them to real world problems. Experience in healthcare data ecosystems or other regulated environments and/or data commercialization with strong governance controls a plus. Knowledge of health interoperability standards (FHIR, HL7, ANSI) and different healthcare systems (EHR, EMR, CDS) a plus. What success looks like (examples) Reduced total cost of ownership for analytics workloads (measurable storage/compute savings, improved utilization). Faster time-to-data for priority use cases (improved ingestion onboarding, lower pipeline latency, fewer manual steps). Stronger trust in data (quality SLAs, lineage, clear dataset ownership, consistent definitions). Improved security posture and audit readiness (policy-based access, stronger controls, repeatable compliance evidence). Platform reliability improvements (fewer pipeline failures, faster recovery, clearer operational runbooks). Measured outcomes for platform adoption, product velocity, customer impact, and business value, not just technical delivery Expected Compensation $216,000 - $366,000 The base salary range shown reflects the full range for this role from minimum to maximum. At athenahealth, base pay depends on multiple factors, including job-related experience, relevant knowledge and skills, how your qualifications compare to others in similar roles, and geographical market rates. Base pay is only one part of our competitive Total Rewards package - depending on role eligibility, we offer both short and long-term incentives by way of an annual discretionary bonus plan, variable compensation plan, and equity plans. About athenahealth Our vision: In an industry that becomes more complex by the day, we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients - powered by our vision to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. Our company culture: Our talented employees - or athenistas, as we call ourselves - spark the innovation and passion needed to accomplish our vision. We are a diverse group of dreamers and do-ers with unique knowledge, expertise, backgrounds, and perspectives. We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count. Our award-winning culture is built around shared values of inclusiveness, accountability, and support. Our DEI commitment: Our vision of accessible, high-quality, and sustainable healthcare for all requires addressing the inequities that stand in the way. That's one reason we prioritize diversity, equity, and inclusion in every aspect of our business, from attracting and sustaining a diverse workforce to maintaining an inclusive environment for athenistas, our partners, customers and the communities where we work and serve. What we can do for you: Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces - some offices even welcome dogs. We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation. In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued. Learn more about our culture and benefits here: athenahealth.com/careers https://www.athenahealth.com/careers/equal-opportunity

About the Role We're building a new team to own Radiant's internal data infrastructure, executive analytics, and AI capabilities. As a Staff Data Platform Engineer, you'll be hands-on building the integrations and pipelines that connect Radiant's operational systems-Finance, HR, Supply Chain, Manufacturing, and Recruiting-into a unified data platform. Your first priority will be the ION-Ramp integration: building the pipeline that enables three-way matching (PO + Receipt + Invoice) between our manufacturing execution system and payments platform. This directly reduces manual work for the Finance team. From there, you'll expand to connect 9 enterprise systems, build dbt transformation models, and ensure data quality across the platform. What You'll Do Build integrations: Configure Fivetran connectors, build custom pipelines, and connect 9 enterprise systems (ION, Ramp, QuickBooks, Rippling, Ashby, Salesforce, SharePoint, Smartsheet, DocuSign) Develop the ION-Ramp pipeline: Build the Snowflake → Databricks → Ramp pipeline that enables three-way matching for Finance Write dbt models: Transform raw data into clean, documented, tested models for dashboards and analytics Ensure data quality: Implement testing, monitoring, and alerting for data pipelines; catch issues before they reach dashboards Support dashboards: Work with the PM and stakeholders to ensure the data models support Finance, Operations, and HR/Recruiting dashboards Document everything: Maintain clear documentation for pipelines, models, and data definitions What We're Looking For Required 5+ years of data engineering or software engineering experience Python and SQL proficiency-you'll write both daily Experience with data warehouses-Databricks, Snowflake, BigQuery, or Redshift ETL/ELT pipeline development-Fivetran, Airbyte, Stitch, or custom pipeline experience API integration experience-REST, GraphQL; you're comfortable reading API docs and building integrations with enterprise SaaS tools Data modeling skills-dimensional modeling, schema design, understanding of how data will be used downstream Preferred Background in hardware or hardtech companies-you understand manufacturing, supply chain, and physical product development Experience with dbt (data build tool) Experience with data quality frameworks and testing (Great Expectations, dbt tests, etc.) Comfortable building lightweight internal tools-Python/Flask, basic frontend-or using AI coding assistants (Cursor, Copilot) to extend your capabilities Familiarity with MES, ERP, or supply chain systems (ION, SAP, NetSuite, etc.) Why Join Radiant Mission: Clean energy that can go anywhere-few problems matter more Team: Work alongside exceptional people from SpaceX, Blue Origin, and other top engineering organizations Compensation: Competitive compensation with equity Benefits: Health/dental/vision, 401(k), and flexible PTO Impact: The pipelines you build directly reduce manual work for Finance and give leadership real-time visibility Variety: You'll work across 9 different systems-Finance, HR, Manufacturing, CRM, Documents-never boring Modern stack: Databricks, Fivetran, dbt, Airbyte-best-in-class tools Additional Information This position requires the ability to work in the United States and eligibility for access to export-controlled information under ITAR/EAR.

Work for the IMF. Work for the World. The International Monetary Fund has an opening for a Data Management Analyst/Sr. Data Management Analyst (e-Learning Project Manager) to support its online learning program. The IMF provides training to member country officials on topics spanning from macroeconomic analysis to monetary and fiscal policy, macro-financial linkages, balance of payments issues, financial markets and institutions, as well as statistical and legal frameworks in these areas. The IMF's online program aims to expand the volume of training to member country officials while sharing knowledge with a wider audience through free massive open online courses (MOOCs) and other online learning modalities. Main Duties and Responsibilities: Under the general supervision of ICDIP management, the selected candidate will manage the development of online and blended courses, microlearning videos, and other online learning products, in collaboration with various capacity development departments. The selected candidate will have the following main duties and responsibilities: Create and manage project plans and budgets to ensure the timely and on-budget delivery of high-quality online products, including new online courses, adaptations of existing courses into languages other than English, new and repurposed microlearning videos, and blended courses. Support communication and marketing for the online learning program, including strategic event coordination for the Annual and Spring meetings. Create and maintain promotional materials, email and social media campaigns, using Adobe Campaign, Cvent, and other relevant tools, to increase course visibility and learner enrollment. Contribute to the buildout of courses authored in Articulate 360 and hosted on the edX platform and other learning management systems. Support the ongoing delivery of the online program curriculum (reruns), incorporating lessons learned, learner feedback, and evaluation data. Develop and implement quality assurance processes to ensure that all products meet the standards and requirements of the program, including products created by external vendors. The selected candidate will be part of the team delivering the IMF's online learning program and is expected to contribute to the overall work program of the team and of the division. Minimum qualifications: Educational development, typically acquired through the completion of a university degree, or equivalent, in programming/systems, computer science, statistics, finance, mathematics, economics, or a related field of study, is required. The candidate should have: In-depth knowledge of processes involved in online course development and delivery, in addition to experience working with various Learning Management Systems (LMS) and e-learning tools. Strong project management skills and excellent analytical, problem-solving, interpersonal, and communication skills. Initiative and attention to detail; ability to establish priorities, meet deadlines, and manage multiple projects effectively; ability to work under pressure both autonomously and in a team environment. Ability to develop and maintain effective working relationships with subject matter experts, and to manage cross-functional teams to deliver individual projects. Experience using edX, survey and communications tools, as well as in Articulate 360 are highly desirable, as is familiarity with multimedia authoring tools and software, including the Adobe Creative Suite (Photoshop, Illustrator, Premiere Pro) and other audio/video editing software. This is a one-year contractual appointment. Contractual appointments at the IMF are renewable for up to four years of cumulative contractual service, pending incumbent's performance, budget availability and continuous business need. Only candidates who are currently residing in the Washington DC metro area will be considered. Department: ICDIP Institute for Capacity Development Institute Training Program Hiring For: A06, A07, A08 The IMF is guided by the principle that the employment, classification, promotion, and assignment of staff shall be made without discrimination against any person. We welcome requests for reasonable accommodations for disabilities during the selection process. Information on how to request accommodations will be provided during the application process.

What if you could build a career where ambition meets innovation? At LPL Financial, we empower professionals to shape their success while helping clients pursue their financial goals with confidence. What if you could have access to cutting-edge resources, a collaborative environment, and the freedom to make an impact? If you're ready to take the next step, discover what's possible with LPL Financial. Job Overview: LPL Financial is seeking a Senior Data Services Engineer to join our Reference Data Master team within the Data & Analytics organization. This role is ideal for a highly skilled, hands-on engineer with strong expertise in party reference data, cloud-native data platforms, and enterprise data engineering. You will play a critical role in designing, building, and maintaining scalable party data solutions that support key business initiatives including client onboarding, KYC/AML, regulatory reporting, and operational efficiency. As a senior engineer, you will work closely with technical leads, architects, and business stakeholders while mentoring junior engineers and contributing to engineering best practices. Responsibilities Design, develop, and maintain party reference data services and pipelines supporting clients, counterparties, issuers, and legal entities. Build and enhance cloud-native data solutions using AWS services such as Glue, Lambda, EventBridge, S3, RDS (Aurora/Postgres), and MSK/Kinesis. Contribute to modernization efforts by migrating legacy party data systems from on-premise platforms to scalable, cloud-based architectures. Integrate and manage third-party data providers (e.g., S&P Global Markit, Dun & Bradstreet, KYC/AML vendors) to ensure accurate ingestion, enrichment, and synchronization of party data. Implement data mastering capabilities including deduplication, survivorship rules, identity resolution, and golden record creation. Develop and maintain APIs and data services to deliver party data to downstream systems such as CRM, trading, compliance, and reporting platforms. Ensure data quality, reliability, and lineage through validation frameworks, monitoring, and metadata management. Build resilient, observable systems with appropriate logging, alerting, and fault-tolerant design patterns. Collaborate with architecture, security, and governance teams to ensure compliance with data privacy, regulatory, and cybersecurity standards. Participate actively in Agile delivery processes including backlog refinement, sprint planning, code reviews, and production support. Mentor junior developers and contribute to coding standards, design reviews, and engineering best practices. Requirements: Minimum of 5 years of experience in data engineering or software development with a strong focus on enterprise data platforms. Experience with AWS services, including Glue, Lambda, EventBridge, S3, RDS (Aurora/Postgres), and MSK/Kinesis. Hands-on experience working with party or entity reference data domains. Experience with data mastering concepts such as identity resolution, source system prioritization, and golden record management. Experience building data pipelines, APIs, and event-driven architectures. Technical Competencies Solid background working with relational and cloud-native data stores such as Snowflake, Aurora, Postgres, MSSQL, or similar. Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform preferred), and modern DevOps practices. AWS certification(s) are a plus. Core Competencies Strong hands-on engineering mindset with attention to quality and scalability. Deep understanding of party data concepts and regulatory use cases (KYC, AML, FATCA). Strong problem-solving skills with the ability to work independently on complex technical challenges. Effective communication skills and the ability to collaborate across technical and business teams. Ability to design and implement secure, resilient, and maintainable data solutions. Motivation to learn, improve systems continuously, and adopt emerging technologies. Team-oriented approach with a willingness to mentor and support peers. Pay Range: $106,125-$176,875/year Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer! Company Overview: LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com. At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients. For further information about LPL, please visit www.lpl.com. Join LPL Financial: Where Your Potential Meets Opportunity At LPL Financial, we believe that everyone deserves objective financial guidance. As the nation's leading independent broker-dealer, we offer an integrated platform of cutting-edge technology, brokerage, and investment advisor services. Why LPL? Innovative Environment: We foster creativity and growth, providing a supportive and responsive leadership team. Learn more about our leadership team here! Limitless Career Potential: Your career at LPL has no limits, only amazing potential. Learn more about our careers here! Unified Mission: We are one team on one mission-taking care of our advisors so they can take care of their clients. Learn more about our mission and values here! Impactful Work: Our size is just right for you to make a real impact. Learn more here! Commitment to Equality: We support workplace equality and embrace diverse perspectives and backgrounds. Learn more here! Community Focus: We care for our communities and encourage our employees to do the same. Learn more here! Benefits and Total Rewards: Our Total Rewards package goes beyond just compensation and insurance. It includes a mix of traditional and unique benefits, perks, and resources designed to enhance your life both at work and at home. Learn more here! Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE. Information on Interviews: LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant's bank or credit card. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at (855) 575-6947. EAC12.9.25

Description Hi, We're AppFolio We're innovators, changemakers, and collaborators. We're more than just a software company - we're pioneers in cloud and AI who deliver magical experiences that make our customers' lives easier. We're revolutionizing how people do business in the real estate industry, and we want your ideas, enthusiasm, and passion to help us keep innovating. As a Data Science Engineer on our Business Data Platform (BDP) team, you will own the operational backbone of our data infrastructure. You will play a critical role in ensuring resilient, secure, and scalable systems that power analytics, AI, experimentation, and business decision-making across the company. This role bridges platform engineering, data governance, and DevOps-enabling seamless data delivery and access with leading-class observability and compliance. Your Impact Own the design, build, and maintenance of AppFolio's Business Data Platform's observability and testing solutions that identify reliability, scalability, or data quality issues and strive to continuously improve the platform. Build, monitor, and maintain CI/CD pipelines and orchestration tools to ensure timely and accurate data delivery. Manage service accounts, roles, and permissions across Snowflake, dbt, and BI tools. Own the creation of and performance of Data Pipeline SLOs. Create and enforce data access controls, masking policies, and encryption standards (at rest and in transit). Partner with InfoSec and Compliance to ensure auditability and privacy frameworks are implemented and upheld across the Business Data Platform. Maintain lineage and metadata documentation across key data domains. Implement and manage infrastructure-as-code for data platform components. Drive automation of routine operations (e.g., environment provisioning, credential rotation, usage monitoring). Partner with data engineers, data science engineers, data scientists, and analysts to improve platform usability and self-service capabilities. Document and evangelize best practices for data access, job orchestration, and environment management. Must Have 6+ years in DataOps, Data Platform Engineering, DevOps, or related roles within modern cloud data environments. Proficiency in data engineering tools and technologies - SQL, Python, Airflow, Mulesoft, Linux scripting, and dbt Strong Experience with cloud technology, especially AWS tech stack (s3, ec2, eks), Docker and Kubernetes Experience with cloud data warehouse technology, such as Snowflake, including data security and governance Advanced proficiency with Airflow Strong knowledge of CI/CD pipelines, GitOps workflows, codespaces, and infrastructure-as-code (Terraform etc.). Experience with building self-serve processes Familiarity with security standards and practices for data (IAM, encryption, audit logging). Familiar with Snowflake RBAC Location This role is a fully remote opportunity; however, you can find out more about our locations by visiting our website. Compensation & Benefits The compensation that we reasonably expect to pay for this role is $167,200 - $209,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity. Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here. #LI-KB1 About AppFolio AppFolio is the technology leader powering the future of the real estate industry. Our innovative platform and trusted partnership enable our customers to connect communities, increase operational efficiency, and grow their business. For more information about AppFolio, visit appfolio.com. Why AppFolio Grow | We enable a culture of high performance, where delivering results is recognized by opportunities for growth and compelling total rewards. Our challenging and meaningful work drive the growth of our business, and ourselves. Learn | We partner with you to realize your potential by investing in you from the start. We're cultivating a team of big thinkers through coaching and mentorship with our best-in-class leaders, and giving you the time and tools to develop your skills. Impact | We are creating a world where living in, investing in, managing, and supporting communities feels magical and effortless, freeing people to thrive. We do this by innovating with purpose while cultivating a culture of impact. We learn as much from each other as we do our customers and our communities. Connect | We excel at hybrid work by fostering an environment that feels flexible, personal and connected, no matter where we are. We create space to fuel innovation and collaboration, and we come together to celebrate, connect, and succeed. Paddle as One. Learn more at appfolio.com/company/careers Statement of Equal Opportunity At AppFolio, we value diversity in backgrounds and perspectives and depend on it to drive our innovative culture. That's why we're a proud Equal Opportunity Employer, and we believe that our products, our teams, and our business are stronger because of it. This means that no matter what race, color, religion, sex, sexual orientation, gender identification, national origin, age, marital status, ancestry, physical or mental disability, or veteran status, you're always welcome at AppFolio. By submitting this form, I acknowledge I have reviewed AppFolio's Privacy Policy.