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Join Us as Our Next Senior Director of Data Engineering & Machine Learning Remote | Full-Time Lead the Data Revolution at Modus Create At Modus Create, we empower the world’s most ambitious companies through thoughtful, modern, data-driven digital solutions. As Senior Director of Data Engineering & Machine Learning , you’ll help shape the future by leading inclusive, collaborative teams that architect and scale data platforms, and deliver intelligent AI/ML-powered products. Our work drives transformative outcomes across healthcare, finance, life sciences, automotive, and beyond. We’re seeking a strategic, hands-on leader with a passion for mentoring others, who bridges deep technical expertise with business-driven vision—someone who can shape data and ML strategy, guide clients through transformation, and empower a new generation of data leaders. What You’ll Do As Senior Director, you’ll guide and empower a global, distributed team of Data Engineering and ML practitioners. You’ll bring deep data and machine learning experience, a consulting mindset, and a strong commitment to improve both our craft and our client outcomes. This role reports to a VP of Product Engineering Services and works cross-functionally with Growth, Operations, and Partnerships to scale our data capabilities. You'll play a key role in creating a culture where people feel seen, supported, and motivated to do their best work. Build Modern Data Platforms Design and oversee architecture for cloud-native data platforms, pipelines, and streaming systems on AWS, Azure, or GCP. Ensure robust solutions using platforms such as Databricks, Snowflake, Redshift, BigQuery, Spark, Kafka, Airflow, dbt, and Kubernetes. Deliver Products that are Intelligent Define and drive responsible ML strategy, from model development to integration, using platforms like SageMaker, Azure ML, or TensorFlow. Enable smarter client experiences by embedding ML into applications, automation, and analytics. Lead & Grow Teams Foster a culture of trust, continuous learning, and experimentation by hiring, mentoring, and empowering distributed teams of data and ML engineers. Define career paths, feedback frameworks, and learning programs grounded in a culture of experimentation,continuous growth, and a sense of belonging at every level. Shape Technical Strategy & Best Practices Develop modular runbooks, tooling standards, and engineering frameworks optimizing for scalability, observability, and security. Champion collaborative practices like Agile/Lean development, dataOps, MLOps, and CI/CD for data pipelines and models. Business Development & Sales Enablement Partner with Sales, Partnerships, and Account Teams to find and co-create thoughtful, outcome-driven data & ML engagements. Translate client needs into solution designs, shareable collateral, and winning proposals and estimates that reflect both technical strength and business empathy. Serve as a technical leader in pitches, RFPs, and client workshops, establishing Modus as a trusted data, AI, and ML advisor, while building client confidence through clarity and consultative engagement. Cross-Functional Collaboration Work with product, design, platform, and engineering teams on integrated, end-to-end data solutions. Translate capabilities into human impact by aligning closely with both client technical and business stakeholders. What Sets You Apart Empathetic Leader : 15+ years in data or software engineering roles, with 7+ years leading Data Engineering/ML teams—ideally at scale or in global consulting contexts. Technical Depth : Hands-on experience with cloud data platforms, big data toolchains (Spark, Kafka), data transformation tools (Airflow, dbt), and ML platforms. Business Savvy : Success in pre-sales, solutioning, and growing data/ML engagements within enterprise or mid-market accounts. Builder and Mentor : Demonstrated ability to create enablement programs, uplift team capabilities, and grow inclusive, high-performing engineering cultures. Client-Centric : Deep empathy for client pain points and the ability to craft and deliver impactful, measurable solutions. Communicator & Collaborator : Excellent across technical, executive, and cross-functional settings, with an ability to successfully navigate diverse cultural differences. Founded in 2011, Modus is a global, fully remote team of world-class technologists who thrive in a collaborative, innovative environment. We were fully remote before it was cool! We support organizations on their digital transformation journey through strategic consulting and full lifecycle product development, partnering with industry leaders including Atlassian, GitHub and AWS. Recognized as one of the Inc. 5000 Fastest Growing Private Companies for nine years and a top remote work company by FlexJobs, we have helped some of the world’s largest brands deliver powerful digital experiences. We combine boutique expertise with enterprise-scale capabilities, helping organizations drive customer engagement, enhance retention, and maximize long-term value. As an award-winning Atlassian partner, we enable businesses to build customer-centric products that foster lasting relationships and adoption. Perks of working with us: Remote work with flexible working hours Flexible Time Off/ PTO Premium Health Insurance (medical, vision, and dental) Other benefits such as FSA and HSA 401 (k) Modus Global Office Programme: for when you want to get out of your home, we offer on-demand access to private offices, meeting rooms, coworking spaces and business lounges in locations in over 120 countries. Employee Referral Program Travel according to client or team needs The chance to work side-by-side with thought leaders in emerging tech Access to more than 12,000 courses with a licensed Coursera account. Possibility to obtain paid certification/courses if they align with company goals and are relevant to the employee's role Additional benefits might apply contingent on your location. Why Modus Create Modus Create is a global consulting firm that helps organizations modernize their platforms, products, and processes. From open-source roots to enterprise transformation, we bring together strategy, design, engineering, and AI to build what’s next. 100% remote since day one Named a top company for remote work by FlexJobs and Inc. Trusted by leading brands across the globe Culture of autonomy, mastery, inclusion and continuous learning By joining our team, you’ll be part of a high-performing group that leverages each other’s strengths and celebrates every success together. Apply now and show us you have what it takes to drive impactful data engineering & machine learning strategies with Modus Create!

About the Company Our client is a profitable Enterprise SaaS company specializing in data privacy governance , data security, consent management, and regulatory compliance solutions for enterprises. Their innovative patented Hybrid AI technology ensures seamless compliance with GDPR, CCPA, and other privacy regulations, while providing unified consent and preference management APIs for efficient data handling across multiple channels. With a proven product-market fit and Fortune 100 customers, the company is at the forefront of shaping the future of data privacy and AI-driven compliance. Office Location: Falls Church, VA or Greenville, DE ( company-paid relocation is available ) Product: Data Privacy Governance, Data Security & Protection, Consent Management, GDPR, CCPA, Compliance The Mission Our client's mission is to contribute to a better society by advocating for proper data protection legislation, responsibly safeguarding customer data, preserving individual privacy rights, and enhancing trust between businesses and consumers through greater transparency. As a technical lead, you will play a critical role in driving the engineering vision and delivering impactful products that address evolving privacy and security challenges. The Opportunity We are seeking a dedicated Manual QA Tester to join our client's engineering team. This role offers a unique opportunity to work in a dynamic startup environment where the founders and the majority of team members are engineers. What You'll Do Conduct manual QA software testing for web applications Utilize Jira for project management and issue tracking Collaborate with a diverse team of engineers and other professionals Contribute to the development and improvement of data privacy and security solutions Adapt quickly to new challenges in a fast-paced startup environment Provide feedback and actively participate in company life What You Bring At least 2 years of hands-on experience in manual QA software testing, specifically with web applications A bachelor's degree in a related field, or an equivalent combination of relevant technical certifications and working experience Proficiency in using Jira for bug tracking and project management Familiarity with software development lifecycles and testing methodologies Basic understanding of web technologies (HTML, CSS, JavaScript) Ideally, fluency in Russian or Ukrainian languages, enabling effective communication across diverse teams Ability to work hybrid, 3 days per week from the office in Falls Church, VA or Greenville, DE Key Success Drivers Strong attention to detail and commitment to quality High ethical standards, honesty, and transparency Proactive problem-solving approach and energetic attitude Comfort in adapting quickly in a fast-paced startup environment Willingness to learn and grow within the company and commitment to long-term employment Why Join? Employment Type: Full-time Base Compensation: $50,000-$70,000 per year (negotiable depending on your experience) Comprehensive medical benefits: 100% company-paid medical, dental, and vision coverage for employees and 50% for families 401(k) plan with a match program Company-paid life insurance coverage Company-paid relocation (negotiable) Tuition reimbursement, corporate events, and performance-based bonuses Collaborative company culture and supportive, inclusive environment for all employees Work-life balance with a hybrid schedule 3 days per week and paid vacation Proven product-market fit with Fortune 100 customers Career growth opportunities Impactful work that shapes the future of data privacy and AI Interviewing Process HR Screening Stage 1: 30-min phone interview with the Founder/CEO (General fit) Stage 2: On-site interview in the office (Skills Assessment) Reference and Background Checks: conducted after successful interviews Job Offer: provided to the selected candidate We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.

If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered. Day - 08 Hour (United States of America) This is a Stanford Health Care job. A Brief Overview The Team Lead-Data and Analytics is responsible for overseeing assigned Technical systems and functions supporting the Enterprise Contact Center and its managed Clinics. This role will also work closely with the Manager to participate in the evaluation and development of the staff and provide guidance.The Team Lead-Data and Analytics will also analyze actual and projected organizational performance of existing/new programs and their associated impact across the organization. Implements and supports the business strategy, and implement delegated projects and tasks related to applications, projects and reporting. Supports an overarching goal of unifying data from disparate systems while ensuring data integrity within a complex IT network, applications and interface infrastructure composed of disparate systems. Locations Stanford Health Care What you will do Performs analysis, development, and testing of reporting solutions. Understands report requirements and builds reports that function as desired. Manages multiple independent complex activities. Manages tasks, dependencies, and user/team expectations regarding scope and timeline of solution delivery. Builds and maintains SQL databases and generates complex queries and reports based on standard operating processes. Maintains the quality and integrity of data stored in databases and stored Procedures and Reports using SQL Server and SQL Server Integration Services (SSIS). Creates operational dashboards and reports from various data sources, such as Verint, Epic, Avaya CMS and Foresee, using software applications Tableau and Qlikview. Plans, coordinates, directs and manages the development and implementation of reporting and analytic projects, including preparing schedules, resources, process flow diagrams, use cases and timelines through all phases of the projects. Provides operational data and ad-hoc analysis for Clinical Business Reviews and Process Improvement Projects. Participates in operational improvement projects, infrastructure and vendor product deployment projects, and development of IT solutions, which requires a comprehensive understanding of the system architecture of the concerned products/applications. Coordinates with the Clinical Business Analyst team and Infrastructure team on maintenance of hardware, upgrades, database administration/tuning, in both production and non-production environments. Provides first tier support for end user requests for department IT applications, enhancements of modifications, considering SHC’s policy and standard procedures, as well as IT protocols and practices. Provides expert advice to various business units for data consultation, gathering and analysis. Conducts User Acceptance Test for ECC Database and ECC-SHC-Analytics Site, such as Tableau Online Drives new data requirements, usage, and test strategy. Researches issues and use independent analysis and judgment to produce solution options (including alternative solutions when necessary to address system limitations) to complex and/or controversial matters. Manages a team of Business Reporting Analysts who perform analysis of complex data structures to generate business insights and to track and improve operating efficiency, costs and service goals. Assists the Manager with setting performance objectives and providing regular feedback to team members and manager.* Identifies trends and detects/anticipates problems and act as the highest level of support while mentoring and training junior staff members. Accountable for work of direct reports. Start and/or complete the hiring process, interview applicants, and make recommendations to the Manager regarding employees’ performance, hire, promotion or transfer decisions Manager will then make final decision. Manages team members' adherence to standard processes, maintenance of quality, and performance to service levels and schedule. Develops department operational plans and goals to support business and organization wide Analytics initiatives. Facilitates discussions on nomenclature inconsistencies and drives consensus to support the Data Governance activities. Manages, participates and coordinates the development and implementation of new/revised processes and procedures, such as developing new programming standards or guidelines. Meets with business units to discuss issues, concerns, areas for improvements, and shares information and best practices. Works with vendors to improve products/tools based on user requirements and determines tools upgrade schedule. Applies Lean concepts including visibility walls, problem solving A3s, and Gemba rounding principles. Education Qualifications Bachelor's Degree Computer and Information Science Computer Science Required Bachelor's Degree Engineering Engineering Required Bachelor's Degree Health Administration Healthcare Administration Required Bachelor's Degree quantitative discipline Required Experience Qualifications 5+ years to 7 years progressively responsible and related experience in data analysis, data architecture and report writing Required Required Knowledge, Skills and Abilities Excellent verbal, written and listening communication skills. Ability to communicate concepts in elegant, concise, eloquent form to management and to cross-functional departments or teams verbally, in writing, and through pictures or diagrams when appropriate Strong organizational skills. Proven analytic skills. Knowledge of Tableau, SQL, MS Power BI Must be self-motivated and team oriented. Knowledge of relational databases. Knowledge of current issues and data analytics trends in a health care system Knowledge of new data analytics technologies and maintain and stay abreast of updates and changes Strong attention to detail. Ability to work quickly and accurately under pressure within an environment where priorities often shift. Excellent presentation skills. Report authoring expertise. Knowledge of quantitative analysis Ability to collaborate effectively with a multidisciplinary team Ability to collect and record data, evaluate data and statistics, and maintain effective reporting systems Ability to manage, coach, mentor, train, and evaluate work results * Ability to plan, prioritize and meet deadlines* Ability to provide leadership and influence others. Ability to work effectively both as a team player and leader. Ability to work effectively with individuals at all levels of the organization Ability to use appropriate interpersonal skills to give information to and receive information from coworkers and clients in a tactfully and professional manner Ability to analyze highly complex database systems and workflows Ability to engage actively in complex discussions, often on challenging and/or controversial subjects Ability to influence and negotiate on behalf of others to achieve best outcomes for the department and the organization as a whole Ability to handle confrontation with appropriate grace, professionalism, cordiality, and firmness, and manage/resolve disputes appropriately Physical Demands and Work Conditions Blood Borne Pathogens Category III - Tasks that involve NO exposure to blood, body fluids or tissues, and Category I tasks that are not a condition of employment These principles apply to ALL employees: SHC Commitment to Providing an Exceptional Patient & Family Experience Stanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. C-I-CARE is the foundation of Stanford’s patient-experience and represents a framework for patient-centered interactions. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery. You will do this by executing against our three experience pillars, from the patient and family’s perspective: Know Me: Anticipate my needs and status to deliver effective care Show Me the Way: Guide and prompt my actions to arrive at better outcomes and better health Coordinate for Me: Own the complexity of my care through coordination Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements. Base Pay Scale: Generally starting at $62.75 - $83.16 per hour The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage.

Data Engineer – Industrial Real Estate AI Platform Reports to: CTO Location: Speed Bay Warehouse Solutions – Denver, CO (Cherry Creek) Schedule: Full-time, Monday–Friday, In-Office Overview Speed Bay Warehouse Solutions is a vertically integrated real estate investment and management platform focused on acquiring and operating shallow bay, multi-tenant light industrial assets in prime infill markets throughout the U.S. Sponsored by the founders of Black Creek Group—whose 30-year track record includes over $25 billion in real estate transactions—the firm is led by a seasoned executive team with extensive real estate industry experience and deep expertise investing in and managing multi-tenant light industrial properties. Speed Bay is building a national portfolio designed to deliver durable, long-term value through disciplined acquisitions, operational excellence, and technology-enabled performance. This is an exciting opportunity to join an emerging commercial real estate operating platform focused on acquiring and managing multi-tenant light industrial shallow bay properties in key metropolitan areas across the US. About the Role Be part of a company redefining how small bay industrial assets are analyzed and managed. As an experienced Data Engineer, you will directly influence the strategy and technical direction of a growing AI-native real estate platform. This is a unique opportunity to design, build, and maintain a modern, scalable data infrastructure from the ground up, enabling intelligent automation, advanced analytics, and real-time insights across our portfolio. You will play a key role in developing our next-generation data platform, leveraging tools such as Databricks, AI and machine learning pipelines, and LLM-powered applications. We operate in a collaborative, highly entrepreneurial culture that offers significant visibility with executive leadership and the opportunity to make a lasting impact on both technology and business outcomes. Key Responsibilities Design and implement scalable data architecture using Databricks on cloud infrastructure (Azure or AWS). Build and maintain ETL pipelines integrating data from Yardi, Argus, CRM, and external market data sources. Partner with data scientists and analysts to operationalize machine learning and LLM-based workflows. Develop robust data models supporting financial, operational, and asset performance reporting. Implement strong data governance, quality, and lineage practices across all data assets. Drive efforts to modernize our data stack, enabling real-time data access and self-service analytics. Collaborate cross-functionally with property operations, finance, and investment teams to unlock new AI-driven capabilities. Qualifications 5–8+ years of experience as a data engineer in data-intensive environments. Proven experience with Databricks and building ETL/ELT data pipelines in a production setting. Expertise in Python, SQL, and PySpark; familiarity with MLflow or Delta Lake preferred. Strong understanding of data lakehouse architectures and cloud-native data services (e.g., AWS, Azure). Experience integrating APIs and real estate data platforms (e.g., Yardi, Argus). Comfortable collaborating with AI/ML engineers to deploy models into production workflows. Ability to balance innovation with execution, scaling prototype pipelines into enterprise-grade solutions. Preferred Qualifications Experience building data platforms supporting LLMs or generative AI use cases. Familiarity with modern data orchestration tools (Airflow, Prefect, or similar). Knowledge of APIs, data standards, and metadata management frameworks. Background in real estate, proptech, or asset management analytics preferred. What We Offer Competitive salary + bonus structure Benefits package including Medical, Dental, Vision and Life Insurance 401k Plan Paid office parking Growth opportunities within a thriving real estate company A collaborative and supportive work environment The opportunity to directly impact executive success and office culture Note: This job description is not intended to be all inclusive or exclusive. At any time, employees may perform other related duties as required to meet the ongoing needs of the organization and participate in additional trainings. The annual full-time base salary range for this role is: $140,000 - $180,000 Specific compensation is determined through interviews and a review of relevant education, experience, training, skills, geographic location and alignment with market data. Additionally, certain positions may be eligible to receive a discretionary bonus as determined by bonus program guidelines, position eligibility and Speed Bay Senior Management approval. Speed Bay offers PTO and paid holidays, the terms of which are set forth in the program policies. All full-time employees also are eligible to participate in various benefit plans, including medical, dental, vision, life, disability insurance and 401K, in each case in accordance with the terms of the applicable plans. Pay Transparency Nondiscrimination Provision: Speed Bay is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Know Your Rights, Workplace Discrimination is Illegal Speed Bay does not accept unsolicited resumes from staffing agencies, search firms or any third parties. Any unsolicited resume submitted to Speed Bay in any manner will be considered Speed Bay property, and Speed Bay will not pay a fee for any placement resulting from the receipt of an unsolicited resume.

Why join CompuNet? CompuNet values its people more than any other asset—and realizes the contributions made by each employee are a reflection of their education, experience, certifications, expertise and passions. We strive to take care of each other, do the right thing and help our customers succeed. We work to build lasting relationships and are proud that our customers across many industries see us as a trusted advisor. Putting the customer at the center of every engagement, our mission is to design, test, deploy and support the right IT solutions for every customer. We offer a generous total compensation package for our employees, including competitive wages, medical, dental, vision, PTO, company-matching retirement plans, profit-sharing and more. Our engineers are the foundation of success for our customers and our business. We are seeking a Senior Solutions Engineer with a Data Center focus to join our team in Sheridan, Wyoming. This role will provide value for our clients in both pre-sales design and post-sales implementation. This role will perform the following responsibilities: Collaborate with the sales team to build a winning strategy for our clients. Perform necessary Pre-Sales technical functions to create systems designs. Build Bill of Materials (BoM), create illustrations and diagrams and provide Statements of Work (SoW). Relay technical information to both technical and non-technical staff. Post-Sales Implementation of systems designed. Produce post Implementation project documentation. Provide proficient end-user systems administration training (post implementation) of CompuNet installed solutions Develop strategic relationships with our key manufacturer Partner SE's. Key Expectations of this role: Listen to and address customer technical challenges and design the right solution that meets the customer business needs. Ability to communicate on a high level regarding multiple technologies. Relay technical information to both technical and non-technical staff. Maintain existing certifications and grow to new areas with certification. Participate in all team functions including calls, meetings, events, etc. Technologies that this role will encompass are below: Converged and Hyper-Converged (HCI) solutions Storage Block, File & Object Connectivity Fibre Channel iSCSI Virtualization Design, deploy and maintenance vSphere Hyper-V Virtual network connectivity Cloud (some understanding preferred but not required) Understanding of public & private clouds Azure AWS GCP Data Protection Veeam Cohesity Rubrik Backup and Restore (Not all are required) Disaster Recovery Business Continuity Microsoft Active Directory (not required but recommended to have some level of understanding) Baseline understanding of Microsoft Active Directory and Windows Server components like DHCP, DNS & PKI Networking (Basic Networking) Fundamentals required for connectivity between data center, hybrid and cloud components Who you are You’re a strong team player that is invested in helping your customers succeed and contributing to a great team. You have the following knowledge, skills, abilities and/or education: 8+ years of experience is a plus Demonstrated ability to work independently and bring order to ambiguous situations Ability to work on different projects in a simultaneous fashion (i.e. multiple customer projects in the same time period). Ability to relay technical information to both technical and non-technical staff. Exceptional problem solving and organizational skills. Excellent time management and independent work skills. Excellent verbal and written communication skills. Willing to travel 25-50% of the time depending on client needs Additional Information At CompuNet, we strive to do the right thing - that includes taking care of our employees. We offer a full and comprehensive compensation package to all our employees, including: Medical, Dental, Vision, Employee Assistance Program, and Flexible Spending Accounts Life and AD&D insurance, Disability coverage, Critical Illness and Accident Insurance Paid Time Off (PTO) and paid Holidays Company-matching 401(k) Profit Sharing Competitive salary The estimated base salary range for this position is $100,000 - $175,000 per year. Actual salary will depend on a variety of factors, including location and job-related qualifications such as knowledge, skills, experience, training, certifications, education, or performance. This position is eligible for variable compensation, such as commission, bonuses, and profit sharing, in addition to the base salary. Who we are CompuNet, Inc. is an engineering-led IT solution provider that offers consulting, design, and professional services. Our strength lies in our team of outcome-driven and relationship-focused professionals with a long history of designing IT solutions. Our team of highly skilled engineers take the lead in designing, developing, and implementing solutions that address complex business challenges. This team takes ownership for the entire project lifecycle, from discovery and design through deployment, training, and handoff. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. What You’ll Do Build, maintain and scale data pipelines and models that power analytics, reporting, and self-service exploration. Collaborate with BI engineers, product managers, and engineering teams to translate business needs into reliable data solutions. Support data governance, including data quality monitoring and audits. Contribute to the evolution of the BI data platform by applying best practices in data modeling, orchestration, and governance. Investigate and resolve complex data issues in partnership with cross-function teams. Qualifications Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, Mathematics, or related field. 2+ years of experience developing and maintaining data pipelines in cloud environments. Strong SQL and Python skills for large-scale data analysis and engineering. Experience working with business stakeholders to gather requirements and deliver end-to-end solutions. Good communication and organization skills Nice to Have Experience with GCP, including BigQuery, Cloud Storage, Datastream, and Pub/Sub Experience with orchestration tools (Airflow) and data modeling tools (dbt). Familiarity with BI/visualization platforms (Looker) and APIs/SaaS integrations Exposure to CI/CD pipelines or automated testing for data workflows #LI-SH1 #LI-Hybrid CHI: $70,000-90,000 The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. DATA ENGINEER (STARLINK GROWTH) At SpaceX, we are leveraging our experience in building rockets and spacecraft to deploy Starlink, the world’s most advanced broadband internet system. Starlink is the world’s largest satellite constellation and is providing fast, reliable internet to 8M+ users worldwide. We design, build, test, and operate all parts of the system – thousands of satellites, consumer receivers that allow users to connect within minutes of unboxing, and the software that brings it all together. We’ve only begun to scratch the surface of Starlink’s potential global impact and are looking for best-in-class engineers to rapidly accelerate our growth around the globe. As a Data Engineer in the Starlink Growth Analytics & Automation Team, you will be responsible for developing the strategy, key metrics, tools, models, and processes for assessing the health of Starlink business. You will extract valuable insights from data across all business units and the Starlink network itself. You will work closely with technical and business teams to make customer acquisition as efficient as possible. You will bring in the latest and greatest machine learning and statistical technologies to turn data insights into action and autonomous applications. RESPONSIBILITIES: Build high-visibility, high-confidence, statistically-based dashboards and analytics tools to uncover new or breaking trends in customer growth or experience. Transform insights into action items for business and engineering teams, based on statistically-driven evidence. Develop and implement monitoring systems and strategies to quickly detect trends and regressions as they arise. Work closely with software and production teams to optimize user experience. Develop and validate models to forecast customer acquisition. BASIC QUALIFICATIONS: Bachelor’s degree in computer science, physics, mathematics, statistics, or a STEM discipline 1+ years of professional experience building solutions with Python and SQL 1+ years of professional experience with statistical modeling and machine learning algorithms PREFERRED SKILLS AND EXPERIENCE: 1+ years of professional experience in analytics, data science, or machine learning Experience building predictive models and machine learning pipelines (clustering analysis, anomaly detection, survival analysis, time series models) Experience with data visualization skills, including experience in geospatial data representations Excellent verbal and written communication skills Experience with developing and deploying tools used for data analysis, machine learning, and statistical modeling Demonstrated capability to parse technical subjects on a deep level Demonstrated ability to jump into ill-defined problem spaces and drive positive outcomes Self-starter attitude, energy, and the ability to communicate effectively across business and technical disciplines Experience designing and utilizing relational database (SQL) Background in statistics or computational physics ADDITIONAL REQUIREMENTS: Must be willing to work extended hours and weekends as needed COMPENSATION AND BENEFITS: Pay range: Level I: $120,000.00 - $145,000.00/per year Level II: $140,000.00 - $170,000.00/per year Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here . SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com .

We are seeking a Data Scientist to support disruptive Artificial Intelligence and Advanced Analytics, Mission Advantages, and Digital Modernization in meaningful, creative, visible, and challenging manners to enhance national security. Develop cutting-edge software, leverage Cloud and hybrid infrastructures for AI workloads, and integrate with our Defense and Intelligence clients to understand where our solutions enhance their mission critical functions. M ission Focus: Data Scientists at NT Concepts help our clients explore new ideas, adopt new technology, develop modern defense approaches, and create solutions to novel problems for our clients with national defense missions. Our Data Scientists advance each of NTC’s mission domains by integrating with engineers and national security experts. You will develop and mature advanced techniques, fuse multiple data sources, construct AI workload pipelines, and assess opportunities to leverage domain dominance in contested environments. You will work to enhance the efficacy of computer vision assets in scalable and secure manners to produce mission advantages and adversarial disadvantages for our clients while complying with CMMI and ISSO standards. Clearance : Active Top-Secret clearance with ability to obtain TS/SCI preferred. Location/Flexibility: Primary work location is Chantilly, VA, with additional work in Vienna, VA. Position offers 10–15% hybrid flexibility, though the majority of work will be performed in Chantilly, VA. Responsibilities: Lead, coach, and mentor teams of Data Scientists and Researchers to adapt to a production-focused mindset and approach Implement best practices, policies, and procedures to develop a production-focused data science lifecycle Research, transform, organize, and optimize data for use by machine learning algorithms Generate representative synthetic data sets for systems development and data science initiatives Build and secure data pipelines to enable teammates, engineers, and client stakeholders Collaborate with mission engineers and client stakeholders to define data and modeling requirements Implement and optimize coding products provided by Software Development and DevOps teams Advise, design, and deploy data engineering practices and methods on high-performance Cloud and Hybrid architectures Prepare clear and concise requirements documentation, mission reports, and other deliverables as required by the Program Managers and client stakeholders Abide be all components of operational security, information security, and client risk management frameworks Qualifications: 4+ years of applied data research, modeling, evaluation, and deployment to production 4+ years of implementing scalable models and techniques, monitoring and logging for performance and accuracy, and responding to elasticity in data, time, and users 4+ years of experience designing and implementing data curation techniques, specifically those designed for imagery Experience building and maintaining ETL pipelines, including Kubeflow pipelines Background working with imagery data, overhead imagery (optical or Synthetic Aperture Radar (SAR)), and synthetic data. Knowledge of image classification, object detection, and change detection in computer vision workflows Familiarity with earth observation sensor modalities and remote sensing workflows Knowledge of AI workloads, workflows, and infrastructures Understanding of Department of Defense mission operations, requirements, and decision flows Strong understanding of operational security and information security practices and principles Experience with machine and deep learning libraries such as Scikit-learn and PyTorch Proficiency with the Python programming language Experience with Git version control systems Proficiency with Linux OS, such as RHEL, Ubuntu, and Apache Physical Requirements: Prolonged periods sitting at a desk and working on a computer Must be able to lift up to 10-15 pounds at times. #JT About NT Concepts Founded in 1998 and headquartered in the Washington DC Metro area, NT Concepts is a private, mid-tier company with clients spanning the Intelligence and Defense communities. We deliver end-to-end ​data and technology solutions ​that advance the modernization, transformation, and automation of the national security mission—solutions with real impact developed in a strong engineering culture that encourages technical growth, leadership, and creative “big idea” problem-solving. Employees are the core of NT Concepts. We understand that world-changing concepts happen in collaborative environments. We are a company where talented teams work together using innovation and expertise to solve our clients’ most critical challenges. Here, you’ll gain competitive benefits , opportunities to bolster your skills and develop new abilities, and a company culture dedicated to support and service. In addition to our benefits program, we encourage our employees to take part in #NTC_GivesBack , which paves the way for positive social change. If joining a stable company with strong professional growth opportunities resonates with you, and you seek vital, mission-driven projects (for some pretty cool clients) that use your specific talents, we’d love to have you move forward with us.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. SR. SITE RELIABILITY ENGINEER, DATA - TOP SECRET CLEARANCE (APPLICATION SOFTWARE, DATA) The application software team is the central nervous system of SpaceX – we create mission-critical applications that are used throughout SpaceX to accelerate launch vehicle production and flight, as well as systems that allow Starlink to grow into a worldwide fast, reliable Internet service. Our missions support scientific research, classified national security space, and commercial opportunities. Software engineering and innovation are at the core of these programs. Our team is currently creating and evolving systems to enable rapid build and reuse of Starship, as well as scaling the Starlink network. We have built systems to support concurrent streams of data from numerous always-on assets, enabling the management of the world’s largest satellite constellation and the world’s largest rocket. We work directly with engineers across all programs to enable and accelerate the success of Starship, Starlink, and Starshield. Aerospace experience is not required for success here - rather, we look for smart, motivated, and collaborative site reliability engineers who love solving problems and want to make an impact on a truly inspiring mission. You will have full ownership of challenging problems, working with a team of enthusiastic engineers to design and produce solutions that enable SpaceX to move towards our goals at a rapid pace. The success of the missions at SpaceX depends on the software that you and your team produce. RESPONSIBILITIES: Upgrade existing distributed systems to become sharded and geo-redundant in multiple data centers Advance existing deployment, monitoring, and alerting infrastructure to support a multi-region environment Manage petabyte scale bare metal compute clusters Closely collaborate with engineers across all programs to create highly operable, scalable, and maintainable products Engage throughout the whole software development lifecycle of services -- from inception to design, deployment, operation, and iterative refinement Focus on performance bottlenecks and performance improvement techniques BASIC QUALIFICATIONS: Bachelor's degree in computer science, engineering, math, or scientific discipline and 5 years of software development experience; OR 7+ years of professional experience building software with site reliability or DevOps in lieu of a degree Experience with Linux operating systems PREFERRED SKILLS AND EXPERIENCE: 5+ years of rigorous experience with site reliability or DevOps Experience with Kubernetes and Istio for on-premise deployment Experience with in-stream, data processing and analytics using open source platforms such as Apache Kafka, Spark, HBase, HDFS, Flink Experience troubleshooting hardware and network-layer issues Programming experience in Python, C#, Java, Scala, Go or similar languages Good understanding of version control, testing, continuous integration, build, deployment and monitoring ADDITIONAL REQUIREMENTS: Active Top Secret or TS/SCI. Note that an active clearance may provide the opportunity for you to work on sensitive SpaceX missions. If so, you will be subject to pre-employment drug and random drug and alcohol testing Willing to work extended hours and weekends when needed COMPENSATION AND BENEFITS: Pay Range: Software Engineer/Senior: $160,000.00 - $220,000.00/per year Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Those with an active clearance will receive a 10% differential, up to an additional $15,000 annually, once officially briefed into a classified program.Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation & will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here . SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com .

Sr. Manager, Clinical Data Management Lead the Revolution in Real-World Evidence and Shape the Future of Medical Research We are growing our Data & Science team to solve complex real-world problems across multiple therapeutic areas. As our Senior Manager overseeing the Clinical Data group within the Data and Science Department you will work at the intersection of real-world data, clinical context, and methodology with our partners to ensure all available data is being used in the most efficient, data-driven way possible. Based in San Francisco, CA, this is a hybrid role reporting directly to the SVP, Data and Science. Why This Role Matters You will help shape the future of medical research and patient care. Your expertise will guide the transformation of raw clinical data into meaningful insights, accelerating drug development and enhancing medical practices. You will ensure the quality and integrity of our data, forming the foundation for groundbreaking discoveries. What You Get to Do Develop and implement standard operating procedures for training clinical data abstractors, abstracting clinical data from unstructured EHR data, and entering interpreted data Collaborate with clinical and data teams to create manual abstraction guidelines Build an accomplished clinical data abstraction team Oversee informatics in supporting Verana's multiple product offerings Work with product and technology teams to develop, test, deploy, and scale a functional software platform for clinical data abstraction activities Design standardized data entry forms, instructions, and logic check rules for real-time error flagging Implement a rigorous quality control and assurance plan for all clinical data abstraction activities to meet regulatory requirements Collaborate with medical teams on analytic plans for commercial projects and internal scientific activities Contribute to Verana's regulatory strategy, focusing on use cases for curated datasets across therapeutic areas Skills and Experience 3+ years working with ophthalmology or urology clinical data Significant experience managing a team of contract part-time clinical data abstractors for Real World Data projects Partnership with team members from medical, product, technology, and quantitative sciences teams Experience with clinical and research applications of real-world data sources, including clinical data from unstructured EHR sources and administrative claims data Knowledge of regulatory requirements for use cases for real-world data applications, with a focus on the expected documentation of steps and processes used to curate and transform raw EHR data into standardized, structured data elements Adept in project management, prioritization, and stakeholder management Requirements Education: Bachelor's degree in science, nursing, or healthcare-related field Data Abstraction: Mastery of manual data abstraction techniques and tools, specifically for Real World Data Data Analysis: Interpret complex clinical data and find meaningful insights Communication: Able to present complex information to diverse audiences Technical Proficiency: Expertise with data management software, statistical analysis tools, and healthcare IT systems Continuous Learning: Commitment to staying at the forefront of clinical data management, real-world evidence, and regulatory guidelines Verana Health is committed to complying with all applicable pay transparency laws and supports equitable pay practices. We pay based on a market-based approach, supported with robust data and in alignment with the compensation of our existing team. We construct our compensation ranges based on the US national average but your pay may vary depending on your location and the cost of living index for that geographic area. In determining an offer, base salary will also be based on experience, qualifications, skills and market conditions. Please note pay ranges for major metropolitan areas may be different. National Pay Range $145,000 — $180,000 USD

Flight Data Translation Engineer Company: The Boeing Company We are Boeing Global Services (BGS) Engineering team creating and implementing innovative technologies that make the impossible possible and enabling the future of aerospace. We provide engineering design and support, including aftermarket modifications, and are innovating to make product and services safety even stronger. Join us and put your passion, determination, and skill to work building the future! #TheFutureIsBuiltHere #ChangeTheWorld Boeing Seattle is seeking a Flight Data Engineer in Seattle, Washington to automate flight data translations within the Boeing Global Services, reporting to the Manager of Prognostics Development working out of the Seattle, WA office. The Flight Data Translation Engineer will be responsible for the delivery of cutting-edge flight data analytics products to commercial aviation customers. As part of an integrated product team, the successful candidate will be part of a technical team supporting product feature development and life support. In this role, the Flight Data Translation Engineer will work with a team of highly motivated aviation SMEs, software architects, developers, and data scientists. This role will work with portfolio leadership, development teams and stakeholders to establish and drive the implementation of flight data management for the success of each product and initiative. Position Responsibilities: Leverage the power of data and engagement insights to drive advancements in flight safety, fleet reliability and sustainability, while executing on the Boeing Flight Data Analytics value and vision Collaborate closely with engineering, DevOps, product management, and airline customers in an agile environment Ensure high quality aviation domain data is available for advanced aviation data insights that benefit both our internal teams and customers Gain a deep understanding of our customers, their flight operations, and their analytics needs; you will play a pivotal role in finding innovative solutions to meet their evolving needs Configure, test and validate aircraft safety, maintenance, sustainability and reliability data models for use in product development, and create high quality documentation required to support these tasks Define and validate experiments using Machine Learning, as assigned by Lead Data Architect, or Product Management Ensure data integrity across the entire data pipeline by leveraging expert-level knowledge of ARINC 717, 767 and other protocols, as applied to different aircraft types, including Boeing and Airbus Proactively identify and troubleshoot data integrity issues to ensure products are providing an exceptional customer experience Employ expertise in database and schema design, anticipating the data questions and data narratives that stakeholders may require Perform hands-on technical work, including working with data, building utilities and tooling, and providing flight data and integrated dataset support to both the product team and customers Work closely with the lead data architect and product managers to strategically shape the future direction of our analytics product Undertake other tasks, projects, and initiatives as needed This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Basic Qualifications (Required Skills/Experience): Bachelor degree in engineering, computer science, mathematics, physics or chemistry 1+ years of progressive experience in software development and design Experienced working with aerospace systems ARINC standards (ARINC 717, 767) 5+ years of related work experience or an equivalent combination of technical education and experience Preferred Qualifications (Education/Experience): 9+ years of related work experience or an equivalent combination of technical education and experience Working experience with cloud solutions Experience with programming, eg java or python, SQL Experience in data science and/or data analytics Advanced experience in business intelligence tools, statistics and data modelling Experience working in a global technology organization and managing many stakeholders Experience with airline safety, airline maintenance engineering, avionics or aircraft flight data recording Experience with Airbus and Boeing aircraft operations Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Total Rewards and Pay Transparency: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Career $114,750 - $155,250 Expert $138,550 - $187,450 Language Requirements: Not Applicable Education: Bachelor's Degree or Equivalent Relocation: This position offers relocation based on candidate eligibility. Export Control Requirement: This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Safety Sensitive: This is not a Safety Sensitive Position. Security Clearance: This position does not require a Security Clearance. Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 1 (United States of America) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. EEO is the law Boeing EEO Policy Request an Accommodation Applicant Privacy Boeing Participates in E – Verify E-Verify (English) E-Verify (Spanish) Right to Work Statement Right to Work (English) Right to Work (Spanish)

Benefits: WORK CULTURE & ENVIRONMENT CAREER & GROWTH DEVELOPMENT Opportunity for advancement System Engineer – Data Center Operations Dallas, TX Long Term Are you a skilled Systems Engineer with expertise in VMware and Azure? Do you thrive in a dynamic environment where you can build, maintain, and secure enterprise-level infrastructure? If so, we’d love to have you on our team ! In this role, you will play a crucial part in ensuring the availability, performance, and security of our data center operations. You’ll be responsible for implementing, monitoring, and maintaining our VMware and Azure environments, collaborating with cross-functional teams, and proactively optimizing our IT infrastructure. Key Responsibilities: • Design, implement, and maintain VMware vSphere Private Cloud environments, including ESXi, NSX, and vCenter across multiple data centers. • Configure and manage VROps, VRM, and SRM for disaster recovery, ensuring business continuity. • Provide technical expertise in Azure cloud infrastructure, ensuring scalability, security, and performance. • Monitor and optimize system performance to maintain high availability. • Develop and maintain detailed documentation for infrastructure, processes, and validation testing. • Support the planning and architecture of VMware environments, ensuring efficient and scalable designs. • Collaborate with cross-functional teams to deploy hybrid, cloud-native, and on-prem solutions tailored to business needs. • Serve as a final-tier escalation point for troubleshooting and resolving critical system issues. • Deploy, configure, and maintain Windows servers. • Configure, rack, cable, and maintain data center hardware. • Participate in on-call rotation for emergency support. Required Technical Skills & Experience: • 7+ years of hands-on experience supporting VMware and Azure cloud infrastructure. • Expertise in VMware vCenter, ESXi, NSX, SRM, VRM, and VROps. • Strong experience in Microsoft Azure and Windows Server OS. • Proficiency in networking infrastructure (LAN, WAN, VPN) and protocols (TCP/IP, FCoE). • Deep understanding of enterprise storage, hardware protocols, and fabrics. • Experience working with patch management and change control systems. • Knowledge of ITIL frameworks and best practices. • Ability to analyze, troubleshoot, and optimize infrastructure with a creative and solution-oriented mindset. • Willingness to participate in on-call rotations as needed. Preferred Qualifications & Certifications: • VMware VCP-NV certification • Microsoft Azure AZ-104 certification • Experience working with Linux OS Education & Soft Skills: • Bachelor’s degree in Information Technology, Computer Science, or a related field (preferred). • Ability to work independently with minimal oversight. • Strong problem-solving skills and the ability to manage multiple priorities under pressure. • Excellent communication skills (both written and verbal). • Collaborative mindset and a team-oriented approach. Compensation: $60.00 - $70.00 per hour About Us We work to deliver profitability in your business – with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses. Work Approach Our Philosophy Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal. Work Policy We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution. The Future SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.

About Daydream Daydream is a conversational fashion search and discovery platform built exclusively for fashion. Designed to redefine how people search and discover fashion, Daydream offers a personalized, conversational experience powered by advanced AI and natural language understanding. Backed by top-tier investors including Forerunner Ventures, Index Ventures, Google Ventures, and True Ventures, our team is committed to shaping the future of shopping. About the role Are you passionate about the intersection of high fashion and cutting-edge artificial intelligence? Are you passionate about building the data foundations that power truly intelligent systems? As a Data Engineering Lead at Daydream, you will be a foundational member of the team, responsible for designing and building the entire data ecosystem that fuels our AI Personal Stylist. This is a unique opportunity to solve complex technical challenges while directly shaping a product that will revolutionize how people shop online. What you’ll do: Design, build, and optimize scalable, parallel data processing pipelines on Google Cloud to handle massive volumes of offline data. Implement and manage large-scale LLM batch inference jobs, processing millions of data points to enrich our product catalog with sophisticated, AI-generated attributes. Architect and own the data infrastructure for our Fashion Knowledge Graph, leveraging BigQuery and parallel data processing frameworks. Develop and maintain robust feature generation pipelines to craft high-quality signals for both the training and inference of our machine learning models. Orchestrate complex workflows of data processing jobs, implementing robust monitoring, alerting, and data quality validation systems to ensure reliability and trust in our data. Collaborate closely with data science and machine learning teams to understand data requirements and deliver production-grade data solutions. Champion engineering best practices, including writing clean, maintainable Python and SQL, and drive a culture of high-quality data and operational excellence. Who you are You have extensive experience building and deploying data solutions on a major cloud platform (preferable Google Cloud Platform) You are highly proficient with distributed data processing frameworks such as Apache Spark, Flink, or Polars. You possess exceptional Python coding skills, with a deep understanding of writing efficient, testable, and maintainable code for data applications. You have expert-level SQL skills and deep experience with modern cloud data warehouses like BigQuery, Snowflake, or Redshift. You have hands-on experience with workflow orchestration tools like Airflow, Argo or Kubeflow. You are a pragmatic and proactive builder who thrives in a fast-paced, autonomous startup environment, capable of driving projects from concept to production. You are an empathetic and collaborative teammate, skilled at communicating complex technical ideas and passionate about building the reliable infrastructure that empowers your colleagues. You are a natural leader who enjoys mentoring and developing teammates and aligning work to provide growth opportunities while ensuring priorities are aligned with broader company goals What we offer Competitive salary, equity and benefits (medical, dental, vision, 401k, etc.) Flexible vacation and remote working The opportunity to be part of a groundbreaking, AI-focused company Collaborative work environment with a team of talented, fun-loving individuals. Opportunity to learn and grow in your career while shaping the future of fashion, shopping and technology Commitment to Diversity Daydream is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, gender identity, age, national origin, or disability status.

Job Description This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX three times per week, at minimum [or other frequency dictated by the business if more than 3 days]. The Role Join our GPSC Insight Engineering team, responsible for ideating, incubating, and delivering new data solutions for global purchasing supply chain (GPSC) and our partners. As a Senior Data Engineer, you will design, build, and optimize industrialized data assets and data pipelines in support of Business Intelligence and Advanced Analytics objectives. In this role within the GPSC Insights Engineering organization under the Data organization, you will deliver high-quality, scalable solutions that meet both functional and non-functional business requirements. You will contribute to projects across databases, streaming technology, CI/CD, and cloud platforms. This is a senior-level role that blends strong data engineering skills with modern software engineering practices. You will help lead and deliver innovative, scalable, and maintainable data-driven solutions—writing high-quality, tested, production-ready code that meets customer needs and scales without rework. You will work in a collaborative, cross-disciplinary environment, handle complex challenges, contribute to architectural discussions, and help shape solutions that improve performance, scalability, and maintainability, while also ensuring alignment with business priorities. What You’ll Do Assemble large, complex data sets that meet functional and non-functional business requirements. Identify, design, and implement process improvements, including automation, data delivery optimization, and infrastructure redesign for scalability. Lead and deliver data-driven solutions across multiple languages, tools, and technologies. Contribute to architecture discussions, solution design, and strategic technology adoption. Build and optimize highly scalable data pipelines incorporating complex transformations and efficient code. Design and develop new source system integrations from varied formats (files, database extracts, APIs). Design and implement solutions for delivering data that meets SLA requirements. Work with operations teams to resolve production issues related to the platform. Apply best practices such as Agile methodologies, design thinking, and continuous deployment. Develop tooling and automation to make deployments and production monitoring more repeatable. Collaborate with business and technology partners, providing leadership, best practices, and coaching. Mentor peers and junior engineers; educate colleagues on emerging industry trends and technologies. Your Skills & Abilities (Required Qualifications) Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent experience 7+ years of data engineering/development experience, including Python or Scala, SQL, and relational/non-relational data storage. (ETL frameworks, big data processing, NoSQL) 3+ years of experience in distributed data processing (Spark) and container orchestration (Kubernetes) Proficiency in data streaming in Kubernetes and Kafka Experience with cloud platforms – Azure preferred; AWS or GCP also considered. Solid understanding of CI/CD principles and tools Familiarity with big data technologies such as Hadoop, Hive, HBase, Object Storage (ADLS/S3), Event Queues. Strong understanding of performance optimization techniques such as partitioning, clustering, and caching Proficiency with SQL, key-value datastores, and document stores Familiarity with data architecture and modeling concepts to support efficient data consumption Strong collaboration and communication skills; ability to work across multiple teams and disciplines. What Can Give You a Competitive Advantage (Preferred Qualifications) Master’s degree in Computer Science, Software Engineering, or related field Knowledge of data governance, metadata management, or data quality/observability Familiarity with schema design and data contracts Experience handling various file formats (video, audio, image) Experience with Databricks, Snowflake, or similar platforms Experience designing and implementing robust data ingestion frameworks for heterogeneous data sources (structured/unstructured files, external suppliers, supplier chain systems). This job may be eligible for relocation benefits. Compensation: The expected base compensation for this role is: $134,000 - $219,400. Actual base compensation within the identified range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) #LI-CC1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources . Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire . Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

SUMMARY: We are seeking a talented Data Analyst with 3 to 5 years of experience to join our FP&A team. This role focuses on designing and deploying Power BI solutions in support of the Finance Organization. The ideal candidate utilizes strong skills in Power BI, data modeling, data visualization, and an understanding of data warehousing to partner with stakeholders to create insightful dashboards and reports. The ideal candidate will also have a desire to train and coach analysts who are new to Power BI. JOB DUTIES · Work with Director of FP&A to develop a Power BI training roadmap to improve skills of novice Power BI users. · Serve as a continued primary point of contact and resource for novice users of Power BI throughout their development as Power BI developers. · Responsible for end-to-end design and maintenance of data models, reports, dashboards and visualizations in support of FP&A department. · Help establish best practices for reports, dashboards, apps, and semantic models within FP&A. · Continuously innovate by proposing new analytics ideas and methods to improve data insight delivery. · Document reports, data models, and training materials to ensure knowledge sharing and sustainability. · Collaborate with business and technical stakeholders to understand the business needs related to data. · Collaborate closely with finance data team and data governance team to ensure all Power BI solutions comply with organizational data policies and security standards. · Perform other duties as assigned. EDUCATION & EXPERIENCE Typically requires a bachelor’s degree in MIS, CS, Statistics, Math, Engineering, Finance/Accounting or related field and at least 3 – 5 years of related work experience or an equivalent combination. KNOWLEDGE, SKILLS, ABILITIES · 1 to 2 years of experience in financial analysis, accounting, or other finance role. · 3 years of professional experience developing solutions in Power BI Services. · Proficient DAX and Visualizations in Power BI. · Experience training and mentoring less experienced colleagues is highly desirable. · Knowledge of SQL, relational databases, and data modeling. · Strong understanding of data governance, data security, and compliance principles. · Proven ability to collaborate with stakeholders, and design and build out solutions. · Excellent communication skills with an ability to translate technical concepts for non-technical users. · Strong critical thinking skills and attention to detail. · Ability to work independently and collaboratively in a team environment. · Familiarity with other Microsoft Power Platform tools (e.g., Power Automate, Power Apps) is a plus but not mandatory. Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest! GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.

Company Description We are Olsson, a team-based, purpose-driven engineering and design firm. Our solutions improve communities, and our people make it possible. Our most meaningful asset is our people, and we are dedicated to providing an environment where they can continue to learn, grow, and thrive. Our entrepreneurial spirit is what has allowed us — and will continue to allow us — to grow. The result? Inspired people, amazing designs, and projects with purpose. Job Description Join our team for a unique opportunity working directly with one of the world's largest technology companies. As a BIM Manager, you will collaborate with our BIM team to maintain accurate Revit and CAD files, being the site-level contact for BIM content review, approval, management, and maintenance. Your responsibilities include playing a crucial part in coordinating the delivery of all handover content for data center projects, utilizing professional tools and processes to ensure accuracy and compliance. This role will require the ability to multitask and work well with our team and a variety of people. As a BIM Manager, you will also provide document & project closeout support, coordinating content for construction and operation. You will act as the site representative for the Electronic Document Management System (EDMS), working closely with the client and project teams, you'll oversee day-to-day document maintenance, conduct QA/QC checks, and ensure compliance with client standards to meet project deadlines and goals. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: Ability to contribute and work well on a team Excellent written and verbal communication skills and interpersonal skills Proficiency in Autodesk Revit, AutoCAD, Navisworks, and other relevant software tools Bachelor's degree in Engineering, Architecture, Construction Management, or related field preferred Proven experience in BIM management, document control, and project coordination within the construction or engineering industry Excellent project management skills, with the ability to prioritize tasks, manage deadlines, and work well within a team Detail-oriented mindset with a focus on delivering high-quality work and continuous improvement #LI-DD1 Additional Information Olsson is a nationally recognized, employee-owned firm specializing in planning and design, engineering, field services, environmental, and technology. Founded in 1956 on the very mindset that drives us today, we’re here to improve communities by making them more sustainable, better connected, and more efficient. Simply put, we work to leave the world better than we found it. As an Olsson employee, you’ll receive our traditional benefits package (health care, vision, dental, paid time off, etc.), plus you’ll: Engage in work that has a positive impact on communities Receive an excellent 401(k) match Participate in a wellness program promoting balanced lifestyles Benefit from a bonus system that rewards performance Have the possibility for flexible work arrangements Please note: The benefits listed above apply to full-time employees. If you're applying for an internship, you can learn more about internship-specific offerings and experiences at Olsson by visiting https://www.olsson.com/internships . Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Primary Office Location: 30 Isabella Street. Pittsburgh, Pennsylvania. 15212. Join our team. Make a difference - for us and for your future. Position Title: Enterprise Data Governance Program Manager Business Unit: Technology Reports to: Director of Enterprise Data Management & Engineering Position Overview: The Enterprise Data Governance Program Manager position requires a profound understanding of how data integrates into the organization's operations. The incumbent will be tasked with designing, implementing and ensuring adherence to a comprehensive data governance framework. Collaboration with business leadership, IT, compliance, legal and information security teams is essential. A proactive approach to instilling a data-driven culture will be key to driving organizational success. Successful candidates will demonstrate expertise in data management, privacy, security and governance frameworks. Primary Responsibilities: Works with leadership to identify key partners, roles and data needs within the business. This role will partner with all areas of the business and align with roles from leadership to subject matter experts to serve as a point of contact for strategic data needs. Creates or refines a Data Governance Charter and defines an engagement model for how stakeholders should interact with the catalog and the Data Governance and Quality group. Works with data stewards and data owners for onboarding and training on data governance platforms, concepts and processes. Organizes data catalog, maps data lineage and improves data quality. Additionally, classifies data based on its sensitivity, importance and regulatory requirements ensuring compliance and accountability. Works with manager and leadership to develop and maintain a data governance scorecard and report key performance indicators. Aligns with data leadership to define or refine effectiveness of a Data Governance Council and Executive Council. Partners with data leadership to define a data element lifecycle and certification process. Works with stakeholders and working groups to develop process maps, project plans and identify opportunities for efficiencies and improvement. Proactively identifies program risks and deploy mitigation strategies. Share insights, results and recommendations in a comprehensible manner through both written presentations/reports and interactions with teams to drive best practices and process improvement in organization-wide data governance. Performs other related duties and projects as assigned. All employees have the responsibility and the accountability to serve as risk managers for their businesses by understanding, reporting, responding to, managing and monitoring the risk they encounter daily as required by F.N.B. Corporation’s risk management program. F.N.B. Corporation is committed to achieving superior levels of compliance by adhering to regulatory laws and guidelines. Compliance with regulatory laws and company procedures is a required component of all position descriptions. Minimum Level of Education Required to Perform the Primary Responsibilities of this Position: BA or BS Minimum#### of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position: 5 Skills Required to Perform the Primary Responsibilities of this Position: Excellent communication skills, both written and verbal Excellent organizational, analytical and interpersonal skills Detail-oriented Excellent management skills Excellent project management skills Experience with Data Governance Tools is desired but not requiredAbility to influence peers and subordinates to modify behaviors and support the implementation and adoption of data governance and metadata strategy Licensures/Certifications Required to Perform the Primary Responsibilities of this Position: N/A Physical Requirements or Work Conditions Beyond Traditional Office Work: N/A Equal Employment Opportunity (EEO): It is the policy of F.N.B. Corporation (FNB) and its affiliates not to discriminate against any employee or applicant for employment because of age, race, color, religion, sex, national origin, disability, veteran status or any other category protected by law. It is also the policy of FNB and its affiliates to employ and advance in employment all persons regardless of their status as individuals with disabilities or veterans, and to base all employment decisions only on valid job requirements. FNB provides all applicants and employees a discrimination and harassment free workplace.

Position Overview: We’re looking for a US based Senior Data QA Engineer to join our high-performing, fully remote engineering team. This is a senior-level role for someone who thrives in fast-paced environments, excels at solving complex problems, and is comfortable leading technical initiatives across product, data, and analytics domains through both technical expertise and an inquisitive, curious mindset. In this role, you’ll be expected to take ownership of QA processes for mission-critical projects—ranging from customer-facing applications to backend systems and large-scale data workflows. You’ll collaborate closely with cross-functional teams to design scalable QA strategies, guide their execution, and ensure best practices are applied across the stack and teams. You should bring a strong background in quality assurance with hands-on experience in data validation, test automation, and modern QA practices across APIs, data pipelines, and web applications. The ideal candidate is a confident QA leader—comfortable working in complex systems, resolving ambiguity, and driving clarity through structured test strategies. You’ll not only define and execute comprehensive test plans, but also help shape how we ensure data and system quality at scale. You’ll be responsible for: Designing and owning data QA processes, including test documentation, incident tracking, and quality metrics and dashboards. Design and implement end-to-end test strategies for data pipelines, ETL/ELT processes, data warehouses, and reporting systems. Building automated data validation frameworks to ensure accuracy, consistency, and reliability of large-scale datasets Creating and maintaining data quality checks, test plans, and monitoring solutions across structured and semi-structured data sources Leading QA initiatives across data-focused projects, collaborating closely with Data Engineering, Engineering, Analytics, and Project management teams Developing SQL- and script-based test suites to validate data transformations, business logic, and aggregation rules. Supporting analytics, BI, and reporting platforms by validating data integrity, lineage, and metric correctness Proactively identifying data quality issues and driving resolution through detailed root cause analysis and stakeholder coordination Integrating automated data tests into CI/CD workflows to enable continuous data validation and faster releases QA best practices in the data domainMentoring other QA team members on data validation techniques, automation strategies, and QA best practices in the data domain Ideal candidate requirements: Technical Skills 7+ years of experience in QA area 4+ years of experience as a Data QA Engineer/Data QA Analyst Deep understanding of general QA process, test design techniques and industry standards. Strong expertise in scripting programming languages (JavaScript/Python) Proven experience designing, building, and scaling Data QA processes Experience managing QA for projects and working in standard QA and project management tools like Testrails, Jira, Confluence Experience with white/grey box testing. Comfortable building, supporting, and integrating with production-grade ETL/data pipelines Build and maintain data quality automation frameworks using SQL, JavaScript/Python, or test platforms like DBT tests, Apache Airflow validations, etc. Understanding of the data governance concepts and experience with data governance tools or platforms. Understanding of cloud infrastructure (AWS preferred), CI/CD workflows, and containerization (Docker, Kubernetes) Business Skills Capable of leading Data QA projects across both application and data-focused initiatives Strong communication skills with an ability to bridge technical and non-technical stakeholders Demonstrated experience mentoring QA analysts and QA engineers and contributing to QA culture and growth Experience in fast-paced startup or scaling environments Prior experience in healthcare, life sciences, or regulated data environments is a plus Bonus Points Experience building or supporting admin tools and internal platforms Experience with data observability, schema governance, or data lineage tooling Exposure to machine learning pipelines, business intelligence tools, or product instrumentation Familiarity with mobile development frameworks such as React Native or Capacitor Benefits: Competitive Salary 100% Company-Paid Premium Option for Employee’s Medical, Vision, and Dental Plans Short-term and Long-term Disability Life Insurance 401k Matching Work from Anywhere within the US Flexible PTO 100% Paid Parental Leave Post-Parental Leave Program - $5k stipend to assist with expenses, 4 week 100% paid “Ease-Back” return to work transition period Charitable donation matching Location: Our “Work from Anywhere” philosophy is aimed at making sure that we recruit a diverse range of thought leadership to ensure that our technology is better able to serve local health care providers. Our goal is to hire the country’s top talent and allow them to create an environment within the U.S. where they can do their best work. About Our Organization: At RxVantage, we're a small company with a big mission: to connect healthcare providers with the right life science experts and resources they need, exactly when they need them, to improve patient care. We’ve built a software platform that’s changing the way providers learn about the latest medical advancements and technologies. Every year, our platform powers over 1 million educational exchanges between medical practices and life science companies, making it easier for them to stay informed and provide better care. We have a proven product, a strong mission, and a passionate team. Now, we're looking for talented people to help us grow even more. If you're driven, eager to make an impact, and ready to be part of something meaningful, we want to hear from you! --- RxVantage is an equal opportunity employer and dedicated to ensuring that we represent the local communities where our health and wellbeing providers serve as pillars of support to our family, friends, and neighbors. Our representation within these communities allows us to embody a diverse set of backgrounds, experiences, abilities and perspectives; and provide an inclusive environment for our team to feel empowered to be their authentic selves, without fear of harassment or discrimination.

About Fable Security AI-driven threats and human error are today’s biggest enterprise security risks. Cybercriminals don’t hack systems—they exploit people. Human errors drive 90% of security breaches, making human behavior the primary and growing attack surface. Fable is a security platform that mitigates human risks to the business. We built the first AI-native Human Behavior Platform to eliminate human risk wherever employees work. By leveraging GenAI and behavioral systems, we automatically detect at-risk employees, deliver personalized interventions at critical moments, and remove tangible risks to the business — at scale. Backed by Greylock Partners and founded by early Abnormal Security team members, Fable is solving cybersecurity’s biggest challenge in a multi-billion-dollar market. Our team includes alumni from Meta, Twitter, Flexport, and top-tier universities like Waterloo, Columbia, Berkeley, Purdue, CMU, Stanford, USC, and UW. We are experiencing explosive growth, making this a career-defining opportunity to join and shape the future of security. Why Join Fable as a Data Engineer Build and scale the foundational data systems behind a new category in cybersecurity. Partner closely with data scientists, backend engineers, and security practitioners to operationalize data at scale. Work on unique challenges in data product versioning, historical tracking, and scalable data releases across dynamic human risk behaviors. Join a small, high-caliber team poised to double in size within the next year. Your Role As a Data Engineer at Fable, you will own the architecture, development, and reliability of our data pipelines and warehouse. You’ll build scalable, observable, and versioned data infrastructure that powers Fable’s Human Behavior Platform — from raw ingestion to analytical insights. You will play a central role in ensuring that Fable’s data foundation can support real-time behavioral analysis, historical tracking, and large-scale experimentation across diverse data sources. Responsibilities Design, build, and maintain scalable data pipelines in Databricks , leveraging dbt , SQL , and Python for transformation and orchestration. Manage data ingestion and versioning across multiple behavioral and security data sources. Implement data versioning frameworks and reproducible datasets for experimentation and risk modeling. Build tooling to support scalable data releases and consistent historical tracking of employee risk behavior. Partner with data scientists to productionize analytical and ML-ready datasets. Define and maintain best practices for data quality, documentation, and lineage. Optimize performance, storage, and cost efficiency across the data platform. Contribute to infrastructure that enables secure and compliant data workflows in AWS (S3, IAM, Lambda, etc.) . Your Skillset: Must-Have 3–7 years of experience as a Data Engineer, Analytics Engineer, or similar role. Proficiency in SQL , Python , and dbt for data modeling and transformation. Experience building and maintaining pipelines in Databricks , Spark, or similar distributed compute environments. Strong understanding of data versioning , reproducibility , and ETL orchestration . Hands-on experience with AWS S3 and modern data storage patterns. Ability to design for scalability, reliability, and observability. Experience collaborating closely with data scientists, designers, and backend engineers in a fast-moving environment. Your Skillset: Nice-to-Have Experience with data release management , feature stores , semantic layers, and/or historical record tracking for behavioral or security data. Familiarity with ML Ops , Airflow , or other orchestration tools. Experience in a cybersecurity, risk, or compliance-focused domain. Prior experience in an early-stage startup or high-growth company. How We Work We work from our San Francisco office three days a week , fostering deep collaboration and creative problem-solving. We value impact over process - every engineer directly shapes how our platform detects and mitigates human risk. We emphasize mutual trust, technical rigor, and building differentiated, AI-driven security products. Compensation The estimated salary range for this position is $160,000 – $220,000/year . Total compensation may also include Restricted Stock Units (RSUs). Final compensation will depend on experience, qualifications, and other factors.