• Design, develop, and maintain scalable ETL/ELT pipelines that support cross-functional data needs • Build, deploy, and optimize Power BI dashboards and other reporting tools to support strategic decision-making • Write well-structured, testable code in Python, R, and SQL to support analytics workflows • Lead the development and enforcement of version control, documentation, and coding standards • Partner with data scientists to bring analytics products from prototype to production • Identify and integrate AI-driven tools to enhance data processing and reporting capabilities • Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement

Location: This position may be performed remotely, but requires the flexibility and willingness to travel as needed. The Opportunity We’re looking for a Data and Analytics Engineer II who brings both technical excellence and systems thinking to help us scale our data infrastructure and insights delivery. You’ll lead the development of robust pipelines, intuitive dashboards, and analytics tooling that directly supports our clinical, research, and operational priorities. You’ll act as a thought partner to our data science and business teams, help elevate our engineering standards, and explore emerging technologies—including the use of AI—to improve efficiency and impact. This role is ideal for someone who thrives in a fast-moving, low-ego environment where data makes a difference for real patients. Primary Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines that support cross-functional data needs Build, deploy, and optimize Power BI dashboards and other reporting tools to support strategic decision-making Write well-structured, testable code in Python, R, and SQL to support analytics workflows Lead the development and enforcement of version control, documentation, and coding standards Partner with data scientists to bring analytics products from prototype to production Identify and integrate AI-driven tools to enhance data processing and reporting capabilities Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement Qualifications and Key Success Factors Compensation & Benefits At Praxis, we believe that taking care of our people (and their people) is important, so we provide a world class benefits package to help you thrive.  This includes 99% of the premium paid for medical, dental and vision plans.  We also provide company-paid life insurance, AD&D, disability benefits, and voluntary plans to personalize your coverage. Thinking about the future?  We match dollar-for-dollar up to 6% on eligible 401(k) contributions and sweeten the deal with long-term stock incentives and ESPP.  We provide a discretionary quarterly bonus, an extremely flexible wellness benefit, generous PTO, paid holidays and company-wide shutdowns.  Not to mention, you'll also be joining a phenomenal crew of colleagues who are smart, engaged and inspiring.  We aim high, collaborate hard, and produce results.  Let’s achieve the impossible together! To round out our world-class total rewards package, we provide annualized base salary compensation in the range listed below.  Final salary range may be modified commensurate with job level, education, and experience. Annualized Base Salary $126,000 — $140,000 USD Company Overview Praxis Precision Medicines is a clinical-stage biopharmaceutical company translating genetic insights into the development of therapies for central nervous system disorders characterized by neuronal imbalance.  At Praxis we share a common vision of reshaping the human condition into a more freeing and fulfilled existence by developing high impact medicines for patients and families affected by and living with complex brain disorders.  Our core Values of Trust , Ownership , Curiosity and Results are foundational to every aspect of our business and are exemplified by each and every one of our team members. Diversity, Equity & Inclusion Guided by our core values, at Praxis Precision Medicines, Inc. we continue to DARE FOR MORE® to advance, promote, and champion diversity, equity, and inclusion by encouraging individuals to bring their authentic selves and perspectives to work each day. We are an equal opportunity employer and committed to providing opportunities to all qualified applicants without regard to race, religious creed, color, gender identity or expression, age, national origin, sexual orientation, disability, genetics, military service and veteran status, or any other characteristic protected by federal, state, or local laws. Attention: Job Scam Alert Praxis has recently become aware of fraudulent job recruitment postings from individuals claiming to represent Praxis. These postings seek financial information in connection with fraudulent opportunities for employment. If you suspect any fraudulent activity or misrepresentation in connection with a Praxis job opportunity, please report it to careers@praxismedicines.com. Praxis does not accept unsolicited submissions from recruitment agencies for open positions. We ask all recruitment agencies to refrain from contacting any Praxis employee regarding any position. All unsolicited resumes submitted by recruitment agencies to any Praxis employee in any form or method will be deemed to be the property of Praxis, and Praxis explicitly reserves the right to hire those candidate(s) without any financial obligation to the recruitment agency.

ABOUT KHAN ACADEMY Khan Academy is a nonprofit with the mission to deliver a free, world-class education to anyone, anywhere. Our proven learning platform offers free, high-quality supplemental learning content and practice that cover Pre-K - 12th grade and early college core academic subjects, focusing on math and science. We have over 181 million registered learners globally and are committed to improving learning outcomes for students worldwide, focusing on learners in historically under-resourced communities. OUR COMMUNITY Our students, teachers, and parents come from all walks of life, and so do we. Our team includes people from academia, traditional/non-traditional education, big tech companies, and tiny startups. We hire great people from diverse backgrounds and experiences because it makes our company stronger. We value diversity, equity, inclusion, and belonging as necessary to achieve our mission and impact the communities we serve. We know that transforming education starts in-house with learning about ourselves and our colleagues. We strive to be world-class in investing in our people and commit to developing you as a professional. About the Role We’re looking for a Senior Analytics Engineer I to join Khan Academy’s Analytics Engineering (AE) team. You’ll play a leading role in designing and building the datasets, pipelines, and semantic models that power insights across our organization. You’ll own key areas of our data modeling ecosystem, partner closely with Data Infrastructure (DI), Data Analysts, and Product/Program teams, and help ensure that our data warehouse (BigQuery) and BI layer (Looker) remain reliable, performant, and trusted. This role is ideal for someone who’s deeply experienced in dbt and Looker , enjoys solving complex modeling challenges, and takes ownership of how data flows and scales across the organization. What You’ll Do Design, implement, and optimize dbt models that transform raw event- and entity-level data into analytics-ready datasets. Own and evolve data domains that support reporting across Khan Academy. Develop, document, and test semantic and reporting layers in Looker (LookML). Partner with Analysts to establish consistent metric definitions, reusable data patterns, and shared governance practices. Drive data modeling standards and champion best practices in naming, testing, and schema design. Diagnose and resolve complex data issues, coordinating across Data Infrastructure and Engineering when needed. Mentor Analytics Engineers and Analysts, providing feedback through code reviews and technical guidance. Collaborate with cross-functional teams to identify opportunities to improve data accessibility and reliability. What We’re Looking For Required Skills & Experience: 6+ years of deep, warehouse-centric analytics engineering experience. Expert-level SQL and dbt skills (macros, Jinja, incremental model strategies, schema testing). Deep experience building and maintaining Looker models (LookML, Explores, derived tables, and performance tuning). Proven ability to design scalable, maintainable data models (SCD2, star schemas, bridge tables, data marts). Familiarity with modern data stacks (e.g., BigQuery, Git, and CI/CD practices for testing and deploying data models). Experience orchestrating workflows using tools like Airflow. Strong cross-functional communication skills and ability to influence data decisions across teams. Familiarity with version control and collaborative development (Git, pull requests, and code review). Preferred: Experience with BigQuery specifically. Background in education technology or mission-driven organizations. Demonstrated contributions to data governance, metrics standardization, or semantic modeling initiatives. Our Tech Stack Warehouse: BigQuery Transformation: dbt (open-source) BI / Semantic Layer: Looker Orchestration: Airflow Version Control: GitHub Collaboration: Confluence, Jira, Slack PERKS AND BENEFITS We may be a non-profit, but we reward our talented team extremely well! We offer: Competitive salaries Ample paid time off as needed – Your well-being is a priority 8 pre-scheduled Wellness Days in 2026 occurring on a Monday or a Friday for a 3-day weekend boost Remote-first culture - that caters to your time zone, with open flexibility as needed, at times Generous parental leave An exceptional team that trusts you and gives you the freedom to do your best The chance to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education Opportunities to connect through affinity, ally, and social groups And we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life At Khan Academy we are committed to fair and equitable compensation practices, the well-being of our employees, and our Khan community. This belief is why we have built out a robust Total Rewards package that includes competitive base salaries, and extensive benefits and perks to support physical, mental, and financial well-being. The compensation band for this role is $137,871 - $155,105 USD annually for candidates based in the United States and $186,306 - $209,595 CAD annually for candidates based in Canada. The pay range for this position is a general guideline only. The salary offered will depend on internal pay equity and the candidate’s relevant skills, experience, qualifications, and job market data. MORE ABOUT US Sal’s TED talk from 2011 Sal’s TED talk from 2015 Sal's TED talk from 2023 Our team: http://www.khanacademy.org/about/the-team OUR COMPANY VALUES Live & breathe learners We deeply understand and empathize with our users. We leverage user insights, research, and experience to build content, products, services, and experiences that our users trust and love. Our success is defined by the success of our learners and educators. Take a stand As a company, we have conviction in our aspirational point of view of how education will evolve. The work we do is in service to moving towards that point of view. However, we also listen, learn and flex in the face of new data, and commit to evolving this point of view as the industry and our users evolve. Embrace diverse perspectives We are a diverse community. We seek out and embrace a diversity of voices, perspectives and life experiences leading to stronger, more inclusive teams and better outcomes. As individuals, we are committed to bringing up tough topics and leaning into different points of view with curiosity. We actively listen, learn and collaborate to gain a shared understanding. When a decision is made, we commit to moving forward as a united team. Work responsibly and sustainably We understand that achieving our audacious mission is a marathon, so we set realistic timelines and we focus on delivery that also links to the bigger picture. As a non-profit, we are supported by the generosity of donors as well as strategic partners, and understand our responsibility to our finite resources. We spend every dollar as though it were our own. We are responsible for the impact we have on the world and to each other. We ensure our team and company stay healthy and financially sustainable. Bring out the joy We are committed to making learning a joyful process. This informs what we build for our users and the culture we co-create with our teammates, partners and donors. Cultivate learning mindset We believe in the power of growth for learners and for ourselves. We constantly learn and teach to improve our offerings, ourselves, and our organization. We learn from our mistakes and aren’t afraid to fail. We don't let past failures or successes stop us from taking future bold action and achieving our goals. Deliver wow We insist on high standards and deliver delightful, effective end-to-end experiences that our users can rely on. We choose to focus on fewer things — each of which aligns to our ambitious vision — so we can deliver high-quality experiences that accelerate positive measurable learning with our strategic partners. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, gender, gender identity or expression, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status. We value diversity, equity, and inclusion, and we encourage candidates from historically underrepresented groups to apply. As part of this commitment, Khan Academy will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact careers@khanacademy.org

• Enable self-service analytics for all team members by designing clean, intuitive data models and metrics through dbt, empowering employees to make informed, data-driven decisions. • Develop and refine custom data pipelines that ingest data from operational systems to our analytics platform, handling both streaming and batch data using third-party tooling and homegrown solutions. • Maintain and optimize the data platform infrastructure, focusing on data quality, ELT efficiency, and platform hygiene. • Architect and implement key components of the analytics infrastructure, such as BI, semantic layers, and a foundational data warehouse. • Develop and maintain streaming data pipelines from various databases and data sources. • Collaborate across business units to understand data needs and ensure the required data is collected, modeled, and available to team members. • Document best practices and coach/advise other data analysts, product managers, engineers, etc. on data modeling, SQL query optimization & reusability, etc. Keep our data platform tidy by managing roles and permissions and deprecating old projects.