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Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.   We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.   Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you. We are looking for a Data Engineer to join our Powertrain Data and Automation Team supporting Battery teams at Lucid. This role is critical in designing, building, and maintaining robust data pipelines that power insights for validation and test operations. You will be responsible for acquiring, transforming, and visualizing data from diverse sources, ensuring data is accurate, timely, and actionable.   Responsibilities: Data Pipeline Development: Build, and maintain data pipelines for test and validation labs, including data acquisition, ETL processes, and data storage solutions with guidance from Senior data engineers. Data Acquisition: Develop and integrate solutions for acquiring data from test equipment, ensuring proper setup and calibration of data acquisition systems. Data Visualization: Create dashboards and reports to visualize key metrics and insights using tools like Tableau and/or Grafana. Collaboration: Work closely with test engineers, validation teams, and software developers to understand data requirements and ensure seamless integration with lab operations. Technology Integration: Implement and manage containerized applications using Docker and deploy solutions in cloud environments such as AWS. Protocol Expertise: Develop systems that interface with EV industry protocols such as CAN, Modbus, TCP/IP, and other relevant standards. Continuous Improvement: Optimize ETL pipelines and data acquisition setups for performance and scalability. Qualifications: Proven expertise in Python for ETL workflows. Strong familiarity with AWS cloud services for data storage and processing. Proficient in Docker for containerization and deployment. Knowledge of EV industry communication protocols such as CAN, Modbus, and TCP/IP. Technical Skills: Experience with test equipment and data acquisition system setup. Familiarity with database systems (e.g., PostgreSQL). Knowledge of CI/CD pipelines and version control systems (e.g., Git). Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Self-driven and detail-oriented, with the ability to manage multiple priorities effectively. Education: Bachelor’s degree in electrical and computer engineering (ECE), computer science, or a related field.   What Makes You Stand Out from the Crowd? Work experience in the EV or automotive industry. Prior experience of working with chambers, battery cyclers and/or test equipment related to powertrain and/or inverter module testing systems. A solid understanding of SCADA systems and how they integrate with test and validation lab data pipelines. A creative approach to problem-solving, with examples of implementing innovative solutions in test and validation contexts. Salary Range : The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.   Additional Compensation and Benefits : Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) Base Pay Range (Annual) $119,400 — $164,230 USD By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice . If you are a California resident, please refer to our California Candidate Privacy Notice . To all recruitment agencies : Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.   

Job Summary The position provides leadership and direction in the establishment, development, and growth of assigned Strategic Accounts within the Industrial Components and Electronics Division. This position will carry out responsibilities in all of the following functions and areas: creating strategic plans, communicating direction, implementing corporate business reviews, creating corporate road-maps, expanding relationships (Maintain and develop relationships at all levels of Management, Procurement, Operations, and Quality Assurance, Engineering, Sales, and Estimating/quotations departments), analysis and recommendations, corporate price negotiations, and leading cross-functional teams. Responsibilities  Lead the charge in the development of a strategic plan and implementation of strategic initiatives for Hyperscale Data Center customers . The focus includes increasing account share, revenue growth, profitability, building and expanding relationships with major stakeholders, increasing product mix, and expanding the Phoenix Contact brand. Develop strategic roadmaps for assigned accounts providing direction and insight on existing revenue generating locations and prioritization of developmental locations. Develop intimate insight into the customer culture, needs and supply chain, including key metrics leading to the recommendation of plans, initiatives, and/or corrective actions to provide the highest level of service to the customer’s organization. Lead and coordinate established business reviews with the assigned accounts, including monitoring of competitive activity, leading to recommendations to the Phoenix Contact team on areas of improvement. Organize and lead cross functional teams with the appropriate members of Phoenix Contact for the purpose of building and maintaining trusting relationships between Phoenix Contact and assigned accounts. Manage project transitions assigned to specific locations as projects develop (e.g., specification, bid, procurement, and implementation) and oversee health of the opportunity pipeline. Lead the development of presentations and proposals for assigned customers, soliciting support as applicable from necessary divisional resources. Communicate price negotiations / actions for assigned accounts to the Harrisburg, Blomberg, and other Subsidiary teams including the integration of the channel. Utilize current CRM as the primary customer planning, reporting, measurement, and opportunity tracking tool. Be proficient in and drive the use of all sales tools provided to support local markets. Active involvement in industry related associations, as well as distributor, and customer events. Demonstrate technical competence on all products/solutions within area of focus. Maintain all corporate policies, procedures, and programs including quotations, lead follow-up, and timely reporting. Where applicable, work with channel partners and Harrisburg Marketing to implement national account strategies to achieve program objectives. Assist in the sales promotion of packaged control systems and end to end solutions created by the Control and Industry Solutions division. Other duties as assigned. Qualifications Bachelor’s degree preferred or equivalent combination of education and experience in a technical discipline. 5+ years of proven success in Industrial Controls and Automation Sales required. Experience with Data Center, systems design, components, construction, commissioning, or service required. Experience in working with global and high-profile accounts preferred. Proficiency in BASE selling skills and the ability to build mutually beneficial customer relationships. Demonstrated competence in establishing and leading of cross-functional teams. Excellent networking, interpersonal and influencing skills needed to communicate at all levels. Successful history in achieving strategic and sales targets. Experience managing sales through distribution channel a plus. Outstanding communication skills – written, verbal and listening. Self-motivated with the ability to learn and adapt quickly. Interpersonal and negotiation skills. Essential Job Functions Must be able to travel via airplane. Must have a valid driver’s license and be able to operate an automobile for up to six hours at a time. Must be able to lift a minimum of 50 lbs. (sample, demos, literature) Must be able to travel overnight 35% - 45% + or as required by customer location. Some international travel – valid passport required. Comply with company dress code guidelines. Regular and on-time attendance Perks & Benefits Phoenix Contact offers a generous benefits package that includes medical, dental, and vision coverage, 401k matching, bonus plan and a generous time off package. There are also a wide variety of additional benefits available including 16 weeks fully paid maternity leave & 10 weeks fully paid paternity leave, auto allowance, life insurance, short & long-term disability, tuition assistance, and more! Base salary: $130,000 - $165,000. Compensation information is made available in good faith. Phoenix Contact USA reserves the right to adjust ranges based on candidate’s experience, location and internal & external equity.  Additional compensation includes bonus plan. #LI-RD1 Phoenix Contact is committed to the diversity of our employees. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information. If you need special accommodations to access job openings or to apply for a job, please call 717-944-1300 x3490 between the hours of 8 AM and 5 PM, Eastern Standard Time, Monday – Friday or email HR@phoenixcontact.com .   Notice to Staffing Agencies, Placement Services, and Professional Recruiters: Phoenix Contact has an internal Staffing Department. Recruiters are hereby specifically directed NOT to contact Phoenix Contact employees directly in an attempt to present candidates. Phoenix Contact will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Phoenix Contact, including unsolicited resumes sent to a Phoenix Contact mailing address, fax machine or email address, directly to Phoenix Contact employees, or to Phoenix Contact’s resume database will be considered Phoenix Contact property. Phoenix Contact will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Phoenix Contact will consider any candidate for whom a Recruiter has submitted an unsolicited resume to have been referred by the Recruiter free of any charges or fees. Phoenix Contact will not pay a fee to any Recruiter that does not have a signed Phoenix Contact contract in place specific to the position for which the resume was submitted. Recruiting vendor agreements will only be valid if in writing and signed by Phoenix Contact's Director of Organization Development and Talent Acquisition or his or her designee. No other Phoenix Contact employee is authorized to bind Phoenix Contact to any agreement regarding the placement of candidates by Recruiters. By submitting a candidate to Phoenix Contact, recruiters agree to be bound and comply with this policy.  

About GiveDirectly GiveDirectly (GD) aims to reshape international giving – and millions of lives – by providing cash grants directly to the world’s poorest. The Brookings Institution estimates that $70B of cash transfers would be required to eliminate the poverty gap; the aid sector currently spends $135B each year, much of it on evidence-free interventions. GiveDirectly wants to change that, establishing cash transfers as a benchmark for foreign aid – as the index fund is a benchmark for the financial industry – and in the process accelerating the end of extreme poverty. GD has raised over $1B since launching in 2011, delivered cash to more than 1.5 million people in 15 different countries. We’ve also supported large-scale, experimental research that indicates strong recipient impact of our programs. As a result, GD has been celebrated as one of the most innovative non-profit companies by Fast Company , while the growing cash transfer movement (and GD’s leading role within it) have been featured in the New York Times Magazine , This American Life , Foreign Affairs , and The Economist . Our culture is candid, analytical, agile, and non-hierarchical. Our global team of ~150, and country operations teams of ~650, together come from 21 different countries speaking 69 different languages. From software engineers to seasoned humanitarian workers, former management consultants to public servants, researchers to field operations -- it’s an incredible group of people. Our values are central and deliberately opinionated. We genuinely center the people we serve in our decision making, and strive to build an ambitious, dynamic and high performing environment. We strongly encourage you to read through our values carefully, if they reflect how you like to work and energize you, this could be a great fit. We work hard to create an environment in which all our team members can thrive, succeed and grow. We support flexibility, take care of each other, have fun, and create professional growth opportunities. Location: This role is fully remote but must overlap with an East Africa timezone by at least 3 hours. We are unable to sponsor or take over sponsorship of employment Visas in the U.S. or U.K. at this time. About this role GiveDirectly is seeking a Senior Product Manager, Mobile Operator Data to lead our approach to working with MNO data and provide technical supervision of our collaborations with telecommunications companies and related partners globally. This role will sit within the International Rapid Response Product team and support our mission to deliver cash assistance in crisis situations more rapidly and equitably. You will drive the design, implementation, and scale-up of systems that use mobile phone data — including call detail records (CDRs), mobile money usage, and cell tower metadata — to identify individuals or communities in need of humanitarian assistance. You'll work at the intersection of technology, data science, and humanitarian aid, enabling faster, more targeted response efforts. This is an opportunity to build a high-impact recipient identification and enrollment capability that can transform crisis response and directly support people displaced by conflict, natural disasters, and economic shocks. Reports to: Senior Product Director, International Rapid Response Level : Senior Manager Travel Requirement: approximately once per quarter What you’ll do: Lead mobile data program design initiatives : Design and manage end-to-end data analysis approaches using mobile network operator (MNO) data for recipient identification and enrollment, in collaboration with internal teams and external partners Partner with telcos : Serve as GiveDirectly’s technical lead in negotiations and collaboration with telecommunications companies to enable access to and use of mobile data for program design. Technical Backstop: Serve as the technical backstop for country teams, vendors and partners to ensure high quality, principled analytic and processing approaches to mobile network operator (MNO) data. Develop and refine data pipelines : Oversee the creation and validation of mobile data processing pipelines to ensure data integrity, privacy compliance, and analytical rigor. Support program operations : Work with country teams and internal and external data science capacity to pilot and implement mobile-data-informed enrollment strategies that improve targeting speed, accuracy, and inclusivity. Ensure ethical use of data : Uphold principles of responsible data use and data minimization in all work, ensuring privacy, consent, and security are upheld. Contribute to strategy and innovation : Identify new opportunities to integrate mobility data into GiveDirectly’s humanitarian and cash transfer programming across countries. Build Momentum: Ensure GiverDirectly’s experience with mobile data across contexts is advancing a broader goal to create a global capacity to work with mobile network operator (MNO) data wherever relevant. What you’ll bring: 5+ years of experience in a technical or data-focused role, ideally in mobile technology, humanitarian tech, data science, or international development. Extensive experience managing complex partnership relationships and negotiating collaboration frameworks to achieve project outcomes. Experience working with or for mobile network operators and a demonstrated understanding of the MNO business model, incentive structures, and sensitivities. Experience working with or analyzing mobile phone data (e.g. call records, tower data, mobile money). Ability to coordinate the evaluation of machine learning algorithms for appropriate methods, model validation, and fairness metrics and guide model design in collaboration with technical teams. Deep understanding of data privacy and protection principles, particularly in relation to the use of telecommunications and geolocation data in humanitarian settings. Experience applying frameworks such as GDPR, Responsible Data for Children, or Humanitarian Data Ethics standards is strongly preferred. Excellent project management skills, Extensive experience managing partnerships and coordinating across teams. Demonstrated ability to take ownership, learn quickly, and drive complex projects independently. Highly organized, with a strong curiosity and creative approach to solving difficult, real-world data problems. Clear and compelling communicator who can explain technical concepts to non-technical audiences. Strong alignment with GiveDirectly’s values and mission. Language Requirement: English fluency Preferred: Familiarity with GIS tools, Python, R, and/or SQL. Advanced data science degree or commensurate experience with machine learning Experience in humanitarian response, displacement, or poverty alleviation contexts. French language skills. Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to ensure that staff’s total compensation package (base compensation+ bonus) falls within the 75th percentile of similar roles, at similar organizations. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here . The United States base salary for this role is $129,000. The Kenya base salary for this role is $101,221. This role is fully remote, so if you are not based in the US or Kenya, we will share an estimated salary benchmark for the country you are based in during the hiring process. Why work at GiveDirectly? At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including: A supportive team that works hard and cares hard A robust health benefits plan (exact details will vary by country) Flexible paid time off that staff is encouraged to take Allowances for desk set-up and learning and development #LI-REMOTE Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization serving some of the world’s most vulnerable communities, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any sexual exploitation, abuse, and harassment issues relating to potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. GD is committed to observing all local, national and international laws that protect children, vulnerable adults, and basic human rights of all. GD is committed to a policy of “zero tolerance for sexual exploitation, abuse, and harassment (SEAH)” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority. These efforts help us continue to build and maintain trust with the communities we serve, and prevent harm to our recipients. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide !

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Prior work experience or internships involving data analysis or related fields is a plus. Proficiency in statistical analysis and the use of various data analysis tools and software. Strong skills in programming languages relevant to data analysis, such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI). Ability to clean, manipulate, and analyze large datasets to derive actionable insights. Excellent problem-solving skills and attention to detail. Strong organizational and project management abilities, capable of managing multiple tasks simultaneously. Effective communication and interpersonal skills, with the ability to present complex data in a clear and concise manner to non-technical audiences. A proactive approach to learning and applying new analytics techniques and tools.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

This role is with Daikin Comfort Technologies. Daikin Comfort Technologies uses RippleMatch to find top talent. DATA ENGINEERING SUMMER INTERN DAIKIN Daikin is the world’s #1 indoor comfort provider and a leading innovator and worldwide provider of advanced, high-quality air conditioning and heating solutions for residential, commercial and industrial applications. Located just outside of Houston, Texas, the Daikin Texas Technology Park allows Daikin to consolidate manufacturing, engineering, logistics, marketing and sales for Goodman®, Amana® and Daikin brand unitary heating and air conditioning products in a 4.2 million square foot state-of-the-art manufacturing and business campus. The facility is designed from the ground up to encourage collaboration and innovation. SUMMER INTERNSHIP Daikin offers a well-established 11-week summer internship program where students contribute to meaningful projects. We emphasize a culture of mentorship, training, and collaboration, encouraging interns to ask questions, challenge ideas, and think creatively. Interns gain valuable hands-on experience in a thriving industry with strong opportunities for growth and development. During the internship, college students will: Work on an individual project with your direct team Work with other interns on a group project Network across functions and teams Participate in social and team building activities JOB REQUIREMENTS Must not require sponsorship now or in the future Graduation Dates: December 2026 - May 2028 Be at least 18 years of age JOB DESCRIPTION The Data Engineer Intern is responsible for putting in place the framework for a Modern, Simple, Accurate and Secure Data Environment that connects data across the company and sets data up as an asset to the company. Data Engineers will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. Data engineers implement methods to improve data reliability and quality. POSITION RESPONSIBILITIES Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies Work with stakeholders including the Executive, Manufacturing, Sales and Marketing teams to assist with data-related technical issues and support their data infrastructure needs Work with data and analytics experts to strive for greater functionality in our data systems Develop ways to improve data quality, reliability, and efficiency Qualified Applicants must be legally authorized for employment in the United States. Qualified applicants will not require employer sponsored work authorization now or in the future for employment in the United States. The Company provides equal employment opportunity to all employees and applicants regardless of a person’s race, color, religion (including religious dress or grooming practices), creed, national origin (including language use restrictions), citizenship, uniform service member or veteran status, ancestry, disability, physical or mental disability (including HIV/AIDS), medical condition (including cancer and genetic characteristics), genetic information, request for protected leave, marital status, sex, pregnancy, age (over 40), sexual orientation, gender, gender identity or expression, political affiliation, or any other characteristic protected by law. The Company will comply with all federal and state regulations and statutes pertaining to individuals with disabilities.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Prior work experience or internships involving data analysis or related fields is a plus. Proficiency in statistical analysis and the use of various data analysis tools and software. Strong skills in programming languages relevant to data analysis, such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI). Ability to clean, manipulate, and analyze large datasets to derive actionable insights. Excellent problem-solving skills and attention to detail. Strong organizational and project management abilities, capable of managing multiple tasks simultaneously. Effective communication and interpersonal skills, with the ability to present complex data in a clear and concise manner to non-technical audiences. A proactive approach to learning and applying new analytics techniques and tools.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Prior work experience or internships involving data analysis or related fields is a plus. Proficiency in statistical analysis and the use of various data analysis tools and software. Strong skills in programming languages relevant to data analysis, such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI). Ability to clean, manipulate, and analyze large datasets to derive actionable insights. Excellent problem-solving skills and attention to detail. Strong organizational and project management abilities, capable of managing multiple tasks simultaneously. Effective communication and interpersonal skills, with the ability to present complex data in a clear and concise manner to non-technical audiences. A proactive approach to learning and applying new analytics techniques and tools.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Prior work experience or internships involving data analysis or related fields is a plus. Proficiency in statistical analysis and the use of various data analysis tools and software. Strong skills in programming languages relevant to data analysis, such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI). Ability to clean, manipulate, and analyze large datasets to derive actionable insights. Excellent problem-solving skills and attention to detail. Strong organizational and project management abilities, capable of managing multiple tasks simultaneously. Effective communication and interpersonal skills, with the ability to present complex data in a clear and concise manner to non-technical audiences. A proactive approach to learning and applying new analytics techniques and tools.

This role is with Amway. Amway uses RippleMatch to find top talent. What’s special about this team: The Data, Analytics, and Insights team is responsible for helping the organization make data-informed strategic decisions and measure the outcomes of those decisions. This team partners closely with stakeholders across Sales, Marketing, and Finance, as well as market analytics teams worldwide, to better understand their business questions and help them find answers. This collaborative team provides the Enterprise with Macro Sales Forecasts, handles the development of strategic KPIs, and analyzes the impact of company strategies on sales performance. Additionally, they provide data analytics and insights on our Sales-oriented initiatives and product/Program portfolio. As an Intern on the DA&I Team, you will collaborate with partners across the organization to gather, analyze, and interpret data to generate insights that will inform decisions around investments and enterprise sales growth. How would an intern contribute to the team’s success: This position will offer the opportunity to tackle a project with a lasting impact, whether that involves analyzing key strategic initiatives and their impact on sales growth or enhancing our operational excellence as a team. An example of a typical project would be: Projects focus on using data to answer strategic business questions, enhance the accuracy of sales forecasts, or conduct impact assessments on key growth initiatives. This role would collaborate with our broader Data and Analytics team and key business partners as part of the analytical process. Exposure to analytical technologies/tools (such as Google Cloud, Tableau, and Python) will also occur. Required skills and background: Quantitative analysis skills, with the ability to research and synthesize information into meaningful interpretations. Strong written and verbal communication skills. Masters or equivalent experience Desired Major: Math, Statistics, Business, Finance Desired Class Year: Master's or PhD Desired Skills: Quantitative analysis skills, with the ability to research and synthesize information into meaningful interpretations. Ability to prioritize and manage deliverables with competing deadlines. Natural curiosity, desire to explore deeper answers to key questions. Experience working with SQL or Tableau is preferred. Amway does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Amway immigration sponsorship (e.g., H-1B, STEM OPT, TN, etc.) now or in the future.

About Sands Capital: We are an active, long-term investor in leading innovative businesses globally. Our approach combines analytical rigor and creative thinking to identify high-quality growth businesses that are creating the future. Through an integrated investment platform spanning venture capital, growth equity and public equity, we provide growth capital solutions to institutions and fund sponsors in more than 40 countries (detailed on our website www.sandscapital.com ). About the Data & Analytics Intern Role: Sands Capital is seeking a motivated Data and Analytics Intern who aspires to become a data professional and who is interested in gaining practical experience in data governance, data quality, and analytics. The person in this role will have the opportunity to explore the role of data as an enterprise asset and apply governance practices to build a business-aligned, KPI-driven data visualization along with a practical emphasis on AI readiness, governance, and ethical deployment of AI-enabled insights. Work Expectations: This is a part-time internship role expected to work in-person from Sands Capital’s office headquarters in Arlington, VA for up to 17 hours per week on Tuesdays, Wednesdays, and/or Thursdays. Position Responsibilities: Exploring the lifecycle of data from ingestion to insight within a governed framework. Building a governed Power BI visualization targeting a real Sands Capital KPI. Performing other position responsibilities, as needed; and Exhibiting behaviors consistent with Sands Capital’s Mission, Values, and culture. Position Qualifications: 2 nd , 3 rd , or 4 th year undergraduate students interested in exploring a career in data and analytics. Familiarity with core principles of data governance, data quality, and metadata. Familiarity with Microsoft Excel, Power BI, Power Automate, Atlan, Git, DBT, Snowflake, OpenAI, and Python. Required Behavioral Characteristics: The following are behavioral characteristics that the firm holds in high regard and believes are critical for high performing individuals and teams at Sands Capital: Having impeccable integrity. Exhibiting superior client service skills (both internally and externally). Exhibiting strong interpersonal skills. Demonstrating a strong work ethic in a fast-paced, professional environment. Operating with a high degree of initiative, self-discipline, and motivation. Being able to collaborate and work effectively as part of a team, while also being able to work independently with a high degree of efficiency and accuracy. Assuming the best of others. Being motivated by a job well-done. Sands Capital’s Values: The following are values that the firm holds in high regard and believes are critical for high-performing individuals and teams at Sands Capital: Integrity & Trust: Do what is right, not what is popular. Deliver on commitments. Client-Centered: Always act in the best interest of our clients. Commitment to Excellence: Strive to learn and improve. Implement best practices. Focus: Identify and concentrate on “what matters.” Long-Term Perspective: Appreciate that time allows sound decisions to demonstrate their worth. Avoid short-term thinking. Independent Thinking: Have the courage to develop and articulate your own convictions. Debate others openly and honestly. Teamwork: Collaborate to gather facts, develop perspective, build conviction, and support timely decision-making. Positive “Can-Do” Attitude: Demonstrate a willingness to tackle any task. Graciousness: Reflect kindness and courtesy at all times. Balance: Enjoy your work while balancing professional activities with interests beyond the firm. Meritocracy: Know that talent and achievement will drive your success at Sands Capital. How to Apply: To be considered, you must submit a resume that specifically outlines your qualifications for the position. If you wish to apply for this position, please do so via Sands Capital’s Careers page under “Professional Opportunities”. You may also scroll to “Hiring Process FAQs” to learn more about what you can expect before applying, to include information regarding length of process and any skills assessments that may be required. Apply here: https://www.sandscapital.com/careers-and-staff-benefits/ Salary and Benefits: Sands Capital offers competitive compensation. For this role, the hourly rate ranges from $25 - $35/hour and will be determined by the candidate’s grade level as well as relevant experience, knowledge, skills, and abilities. Sands Capital may also offer generous benefits for interns who meet the relevant eligibility criteria as determined by Sands Capital’s benefit plan documents. Sands Capital is proud to be an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and staff members. For our staff members, equal opportunity includes access to the benefits and privileges that the firm provides to staff members generally. We appreciate the value diversity brings to Sands Capital and are committed to creating an inclusive environment for all staff members. We evaluate and select qualified applicants without regard to race, color, national origin, age, religion, disability status, gender, sexual orientation, gender identity, genetic information, marital status, veteran status, or any other characteristics protected by applicable federal, state, or local laws. Discrimination of this kind is also strictly prohibited by a variety of federal, state, and local laws, including Title VII of the Civil Rights Act 1964, the Age Discrimination in Employment Act of 1967, and the Americans with Disabilities Act of 1990. Read more about equal employment opportunity on the EEOC’s website, found here . We are committed to working with and providing reasonable accommodations to pregnant individuals, individuals with disabilities, and/or individuals needing accommodation for sincerely held religious beliefs. If you need a reasonable accommodation, please send an e-mail to emiller@sandscap.com and let us know the nature of your request and your contact information.

About us Harmonic is the startup discovery engine. It pains us to see great startup opportunities consistently go undiscovered. So, we dedicated ourselves to mapping out the startup landscape and building the tools that ensure the most promising founders get found and funded. The world's largest and most prolific venture capital firms (as well as the up-and-comers you haven’t heard of yet) rely on us to find and invest in the next Google, AirBnB, Uber, Stripe, and Anduril. We play a crucial part in ensuring hundreds of billions of dollars get routed efficiently and that the innovations the world would most benefit from materialize. We are on pace to double over the next twelve months and already power thousands of investors' workflow. Backed by $30M from investors like Craft, Floodgate, and Sozo Ventures, we want to power the entire investment workflow from discovery to term sheet. If you resonate with our values and want to fundamentally evolve how venture capital markets work, come join us. About Discovery The Discovery team sits at the core of Harmonic’s product and data engine. We ingest data from hundreds of fragmented and unstructured sources - ranging from APIs and raw HTML to legal filings and documents - and turn them into structured insights on startups, people, and investors. We’re responsible not just for the quality, coverage, and freshness of this data, but also for how it’s served and surfaced to users across Harmonic. That means building the pipelines that reconcile data at massive scale and powering the full-stack search experience that helps investors discover breakout companies before anyone else. From advanced LLM-based extraction to scalable search indexing and responsive APIs, our work directly fuels Harmonic’s most critical product surfaces - from grid-based search to AI research copilots. To learn more about the team: Explore  Working with Sang  and  Working with Miguel Check out your teammates Jimmy , Akshaya , Apoorva , Gavin , TJ , and Joe . Explore the  Team Page . We’re a mix of ex-founders and seasoned engineers from top engineering institutions like Google, LinkedIn, Microsoft and Meta. The role In this role, you will: Architect and implement large-scale Python-based data pipelines that power Harmonic’s structured understanding of startups, people, and investments. Continue evolving our data extraction and reconciliation processes with dynamic agents Own data quality benchmarks across coverage, freshness, and accuracy, and identify new data sources and ingestion techniques that optimize for performance and quality. Work across the backend stack (databases, search indices and graphql APIs) to bring data to life in the product. Partner closely with AI/ML, Data Ops, and Product to hit quality and performance OKRs and ship new data products that directly drive revenue and user value. Background we’re looking for: 6+ years of experience as a software engineer, with flexibility for exceptional candidates. Proven track record of building and maintaining large-scale data infrastructure, ideally in high-growth or startup environments. Strong product sense: the ability to reason about what data is valuable to extract, how it should be structured and served, and how end users will interact with it. Systems-level thinking: you’ve designed data models, chosen indexing strategies, and built serving paths optimized for both performance and user experience. Experience we’d be particularly excited about: Background as a data engineer or full-stack engineer who’s spent time in the weeds wrangling raw, messy, real-world data into structured, useful, and reliable outputs. Experience with LLM-powered data extraction, search systems, or agentic workflows. Exposure to venture capital, private markets, or company intelligence data. Pay $180k-$220k Salary + Equity depending on the level Our stack The Process Here’s our interview process: Recruiter Screening: 20-30 mins Technical Screening (System Design): 45 mins Technical Screening (Coding): 2 hrs & behavioral interview with Head of Eng: 45 mins  Chat with our CEO: 30 mins References Benefits 🩺 Top of the line health, dental and vision insurance, with 100% premium covered 📈 401k matching 🍜 Free lunch in office 🍣 Monthly team dinner (we have a lot of foodies) for each office 🚂 Commuter benefits

About the Role: Sigma is a next-generation business intelligence, data exploration, and application-building platform that is changing the analytics landscape. It offers a spreadsheet-like interface that enables all decision makers to securely analyze, and interact with, billions of rows of live data with the unlimited scale and speed of the cloud. With Sigma, everyone can quickly answer their own questions to make and visualize accurate, data-driven decisions. As our Product team grows, we’re looking for a senior PM for Data apps. In this high-impact role, you’ll define the vision, strategy, and roadmap for a brand-new 0→1 product - empowering our customers not just to uncover insights, but to act on them and automate powerful workflows. You'll be at the forefront of innovation, working hand-in-hand with customers to build something they’ll truly love. You’ll have direct exposure to Sigma’s executive leadership and partner closely with our go-to-market, engineering, and design teams to launch a category-defining product. This is your chance to join a successful, fast-growing company on one of the most influential teams in the Product organization. Key Responsibilities Shape the vision: Define the strategy and roadmap for Data Apps, rally leadership around your vision, and keep the entire organization aligned and inspired. Deliver excellence at startup speed: Work hand-in-hand with world-class design and engineering teams to move fast, build iteratively, and launch exceptional products that wow our customers. Be the voice of the customer: Dive deep into customer needs and business goals, and turn those insights into product experiences that truly make a difference. Power our go-to-market success: Collaborate across Customer Success, Sales, and Marketing to craft a seamless and impactful GTM strategy. Build, learn, and evolve: Lead your team through rapid build-test-launch cycles, with a focus on quick iteration, smart learning, and continuous improvement. Qualifications Product Leadership: Experience: 5+ years of product management experience, preferably in a B2B SaaS environment with a focus on BI, data analytics, data prep and transformation, or other relevant fields Technical Chops: Deep understanding of databases, data infrastructure, APIs, and security. Hands-on experience with data modeling or technical platforms is highly valued. Go-to-Market Expertise: Strong grasp of B2B GTM motions, with a proven track record of working closely and effectively with Sales, Customer Success, and Marketing teams. Design Instincts: A passion for intuitive UX — and experience partnering tightly with design teams to deliver products that feel effortless and delight users. Strategic Mindset: Ability to craft bold, long-term product strategies and drive them through clear, actionable roadmaps. Exceptional Communicator: Skilled at making complex ideas simple — whether you’re talking to engineers, executives, or customers. Cross-Functional Leader: Experienced at rallying teams, managing stakeholders, and keeping momentum high in fast-moving environments. Startup DNA: Action-oriented, resourceful, and adaptable - you’re energized by change and ready to roll up your sleeves to make things happen. Compensation: The base salary range for this position is $170k - $230k annually, plus competitive equity and benefits packages. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About us: Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions. The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface – no coding required. Since launching with its unique interface, Sigma Computing has added features such as collaboration tools and embedded analytics capabilities. The most recent product launch included a set of AI tools such as forecasting capabilities, an AI copilot and a notebook interface for users who prefer a code-first environment. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth. Come join us! Benefits For Our Full-Time Employees: Equity Generous health benefits Flexible time off policy. Take the time off you need! Paid bonding time for all new parents Traditional and Roth 401k Commuter and FSA benefits Lunch Program Dog friendly office Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow . Note: We have an in-office work environment in all our offices in SF, NYC, and London.

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role As a Risk Data Engineer,you will be a pivotal member of the data team, leveraging extensive knowledge and skills to design and implement highly scalable and robust data solutions that drive significant functional impact and contribute directly to company goals. This role demands deep and advanced expertise in data modeling, alongside proficiency in Python, dbt, Apache Airflow, and Snowflake, applied creatively and effectively to resolve complex data issues. You will independently determine methods to solve most problems, take ownership of managing identified risks within your projects, and influence data strategy within the team. You will also provide technical leadership and mentorship to junior engineers, fostering a culture of excellence and continuous improvement.     What You'll Do Independently collaborate with data engineers and business stakeholders to understand complex data requirements, and lead the delivery of comprehensive data solutions with significant functional impact. Lead the design and implementation of advanced, robust data models for complex analytical and operational needs, ensuring optimal performance, scalability, and adherence to best practices. Lead the development and maintenance of sophisticated ETL/ELT pipelines using dbt, Python, and Apache Airflow, addressing high-exposure risks and ensuring data integrity. Proactively develop and optimize intricate data workflows and pipelines on Snowflake, pushing the boundaries of performance and advanced features. Take ownership of the design and maintenance of a modern data platform, contributing significantly to its strategic direction. Drive the implementation of advanced and robust data quality processes, handling most escalations related to data accuracy, reliability, and compliance. Lead code reviews, provide expert feedback, and champion data engineering best practices across the team and department. Proactively troubleshoot and resolve highly complex data pipeline issues, suggesting solutions to avoid unintended negative impact cross-functionally. Drive the adoption of team tools and frameworks, simplifying processes and reducing complexity. Provide technical leadership and mentorship to junior data engineers, guiding them in best practices, complex problem-solving, and career development.    What you’ll need: 5+ years of advanced experience in data engineering, with deep and demonstrated expertise in complex data modeling and end-to-end pipeline development. Expert proficiency in Python for complex data processing, automation, and building scalable data applications. Extensive hands-on experience with dbt for advanced data transformation, modeling, and managing complex data dependencies. Expertise in Apache Airflow for designing, orchestrating, and optimizing highly complex and critical data workflows. Deep knowledge of Snowflake, including advanced features, cost optimization, and architecting solutions for large-scale data processing. Advanced proficiency in SQL for complex querying, data manipulation, and performance tuning. Expert-level understanding and practical experience with implementing data governance principles, data cataloging, metadata management, and advanced data quality tools. Experience with data observability tools and practices to monitor data pipelines, quality, and lineage. Proven ability to provide technical leadership and mentor junior team members.   Nice to have:  Experience in implementing CI/CD pipelines for data engineering workflows. Familiarity with data cataloging and metadata tools. Knowledge of cloud-native data platforms and tools. Experience with Large Language Models (LLMs), including data preparation, fine-tuning, or operationalizing LLM-based applications, is highly desirable. Exceptional problem - solving and analytical skills, with meticulous attention to detail and the ability to resolve complex issues in creative and effective ways. Excellent communication and collaboration skills, with the ability to influence peers and key stakeholders to gain buy-in. Proactive mindset and eagerness to learn and adapt to new technologies, independently determining methods to solve most problems. Ability to distill complex concepts, facilitate dialogue, and understand key objectives and strategic priorities to influence team and department strategy. Strong ability to adapt to shifting priorities, proactively thinking through and communicating downstream implications to partners. Remains approachable and accessible while supporting and contributing to other team members' work, nurturing positive working relationships within an established network and developing relationships with functional leadership.   Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.    To view all of our comprehensive and competitive benefits, visit our  Benefits at SoFi   page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Software Engineer - Data Quality Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . This position is based out of our headquarters in the Greater Seattle area. #LI-hybrid Who We Need Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. This Opportunity Patients, doctors, and medical researchers deserve the same cutting-edge technological innovations that have transformed other industries. We're on the lookout for passionate software engineers who are eager to apply their skills to revolutionize healthcare. If you're excited by the challenge of using technology to improve lives and drive real change, we’d love to have you join our team. In this position, you will be building online services, automation, and tooling to monitor and ensure our data continues to meet Truveta’s high quality standards. This opportunity requires creative problem solving and a strong appetite for exploration into different approaches to monitor and reason over big data at scale. Responsibilities Leverage your expertise to build performant monitoring systems to analyze big data at scale. Hands on contribution to all stages of the Software Development Lifecycle (e.g., Design, Implementation, Testing, Deployment, Operations, Performance). Collaborate with cross-functional teams including product managers, clinical informaticist, architects, and other engineers. Innovate using strong problem-solving skills and ability to learn quickly in the healthcare domain. Key Qualifications 1+ years of experience building production quality services on cloud platforms (AWS, GCP, Azure) 2+ years writing Python for data analytics and/or machine learning Degree in Computer Science or related field Experience training models and deploying AI for data analysis is a plus. Experience working as part of distributed teams is a plus Why Truveta? Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional, and everything in between. Join us as we build an amazing company together. We Offer: Interesting and meaningful work for every career stage Great benefits package Comprehensive benefits with strong medical, dental and vision insurance plans 401K plan Professional development & training opportunities for continuous learning Work/life autonomy via flexible work hours and flexible paid time off Generous parental leave Regular team activities (virtual and in-person as soon as we are able) The base pay for this position is $94,000 to $120,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options. If you are based in California, we encourage you to read this important information for California residents linked here. Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements. Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.

We are looking for a Marketing Data Engineer who is passionate about helping developers and small businesses succeed with cloud technology. Reporting to the Director of Growth Analytics and Operations, you will be a key technical contributor supporting Acquisition and Growth Marketing through clean, accessible, and actionable data. You’ll build the pipelines, systems, and services that empower our teams to scale their efforts across hundreds of thousands of customers. What You’ll be doing:  You’ll manage the data infrastructure that powers our growth: You will design, build, and maintain the ETL pipelines that extract data from backend services, transform it into usable formats, and load it into Snowflake for analysis and decision-making. Your work ensures our marketing and growth teams have the right data at the right time. You’ll make customer data available in real-time : From building services that extract data from key systems like Marketo and Jitsu to ensuring clean ingestion into our CDP (Segment), you’ll be responsible for making customer behavior data actionable across marketing channels and dashboards. You’ll ensure data reliability and governance : You’ll develop and maintain frameworks for data validation, quality monitoring, and governance. You'll document systems, automate processes, and support incident response to maintain high data integrity and system uptime. You’ll work cross-functionally : Partnering with the Growth Engineering, Growth Marketing, Product, and Data Science teams to ensure data flows smoothly across systems and supports experimentation, measurement, and personalization at scale. You’ll be shipping code into our product and backend infrastructure to implement and operationalize your data goals! What We’ll Expect from you: A deep understanding of data engineering systems: You have strong experience with Python and SQL, understand the principles of data modeling and pipeline architecture, and can build robust services to enable data sharing across tools like Snowflake, Segment, and Jitsu. Full stack engineering chops and technical independence: You’re comfortable interfacing with backend and frontend systems that require engineering-level access. Prior experience with Go, React, Node.js and Typescript/Javascript will be valuable in this role, and experience with Kafka and CI/CD is a bonus. You can work autonomously to extract critical metadata and customer data from services used across the company. Experience with cloud-native tools and infrastructure: You have hands-on experience with cloud data tools (e.g., Snowflake, Airflow, Segment) and containerization (e.g., Docker, Kubernetes). Experience with dbt is a plus. Operational rigor: You bring strong monitoring, documentation, and automation practices to your work. You know how to identify and troubleshoot pipeline issues and are proactive about root cause analysis and long-term stability. Strategic problem-solving : You can see the big picture while owning the technical details. You bring ideas to life through experimentation, and you understand how clean, reliable data unlocks better customer experiences and business growth. Domain experience : Familiarity with growth experimentation, product-led growth strategies, or digital marketing ecosystems is a plus. Why You’ll Like Working for DigitalOcean We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.  We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. We reward our employees. The salary range for this position is $140,000 - $180,000 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. *This is a remote role #LI-Remote

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. We want people who are passionate about building features that you and your peers will love. At DigitalOcean, Data Center Engineers play a massive role in the success of our business. Our amazing Data Center team is responsible for maintaining and growing the physical infrastructure of the DigitalOcean cloud, past, present and future. They own everything related to the physical servers and networking gear that enables our company, and our customers to scale. Day to day duties may include everything from replacing a faulty drive in one of our servers, to flying overseas to set up a brand new Data Center from scratch. In exchange for your expertise and enthusiastic interest in DigitalOcean, we can offer you a role on a fast growing, and collaborative team where you'll be given regular opportunities to hone your skills and learn new ones. This position requires you to be onsite at our data center. This position is for the Richmond area and requires you to be onsite. What You'll Be Doing: Deploying and maintaining Data Center infrastructure Racking, stacking and wiring servers, power distribution units, and switches Installing servers, switches, routers, and storage hardware Submitting RMA to equipment manufacturers and shipping and receiving gear to and from remote locations and vendors Submitting and tracking remote work requests and managing server and component inventory Diagnosing and repairing hardware and performing upgrades, integrations, rebuilds and other projects as needed Debugging network, hardware, and Linux OS related issues Inventory and asset management What You'll Add to DigitalOcean: Proficient understanding in data center power and cooling design and architecture to help ensure new data center spaces, cages and suites are designed as per operational standards. Experience deploying and troubleshooting GPU Hardware Strong understanding of operating systems (OS) such as Linux; proficient with bash scripting. Strong understanding of infrastructure hardware deployment and troubleshooting skills in networking, hardware, and Linux OS related issues Strong understanding in data center cabling plans and best practices Able to evaluate and discuss data center events and/or incidents, leveraging data to drive improvements. While taking action and ensuring timely resolution and closure A strong desire and aptitude for solving problems and performing deep technical dives to resolve issues quickly and efficiently Ability to update, review and approve operational documentation and procedures Experience developing and standardizing operational framework that drive improvement Can assist with budgetary and planning requirements for future projects and initiatives Ability to create and define key performance metrics to help drive efficiency Ability to operate and navigate effectively through ambiguity Willingness to participate in an on-call rotation A valid driver’s license (must be comfortable with driving) Ability to travel domestically and internationally (10% - 15% travel) Ability to be on your feet all day Ability to lift objects up to 50 lbs Ability to train and develop other junior engineers Why You’ll Like Working for DigitalOcean We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. We reward our employees. The salary range for this position is between $92,000 - $116,000 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. *This is a remote role #LI-Remote

Stripes is a $6B+ growth equity firm that makes $10-300 million investments in consumer and enterprise businesses with amazing products. Located in downtown New York with a team comprised of experienced founders and operators, Stripes has invested in and scaled influential companies globally including Levain Bakery, On Running, Siete Foods, Califia, Erewhon, A24, KHAITE, Reformation, Ramp, monday.com, Upwork, Axonius, Dataiku, Fireblocks, Pleo, and Snyk, among others. We think and operate like entrepreneurs and work to assist in building remarkable businesses and brands. We lend active support to help build networks, accelerate go-to-market efforts, recruit talent, offer M&A and capital guidance and support other operational elements critical to market leaders in the consumer and enterprise markets.  We are adding a new Data Analyst to our Data Team that reports to our CTO. As a Data Analyst, you have an “Of-Service” mentality and will work closely with teams across Stripes to support and expand our data infrastructure, automate basic workflows, and help provide timely, reliable insights.  Responsibilities : Execute tasks, both small and large, to help support our investment team, including data cleaning, data validation, data entry tasks, and reporting Review industry lists, market research reports, and data sources to help identify potential investment targets and support investment research Write SQL queries to extract, transform, and load data from relational and cloud data sources (training and mentorship provided for more complex queries) Develop Python scripts for web scraping, data cleaning, simple aggregations, and basic analysis Assist in building and maintaining dashboards in Grafana to track key metrics, system health, and user behavior Collaborate with our software developers to update and refine existing systems and lead small custom software development projects Qualifications: 2 – 4 years of experience in an analytical or data support role Basic proficiency in SQL for data querying and foundational data modeling Familiarity with Python for data manipulation (Pandas optional; willingness to learn more advanced techniques on the job) Basic project management skills—experience managing small tasks or timelines Prior exposure to Generative AI including ChatGPT, Claude, and Grok (including the creation of custom agents and GPTs) Collaborative “Of-Service” mindset and has a “roll up your sleeves” mentality Clear verbal and written communication skills Strong attention to detail Has a problem‑solving mindset; willing to ask questions and learn from colleagues Ability to balance multiple tasks, adapt to shifting priorities, and meet deadlines in a fast‑paced environment Genuine interest in entrepreneurship, private equity, and venture capital ecosystems, with a desire to develop expertise over time The anticipated base salary range for this role is $85,000 - $105,000 subject to standard withholding and applicable taxes. In addition to annual base salary, the role includes opportunity to receive and/or earn a discretionary bonus in accordance with Company’s policies. Compensation finally awarded to the candidate will be commensurate with the candidate’s skills and experience. Regular, full-time employees are eligible for Stripes’ competitive benefit programs. Stripes is an equal opportunity employer that values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. For more information, please visit www.stripes.co.