Job Description We are seeking a dedicated Principal Data Engineer with a passion for pharmaceutical research, to lead and manage our critical Data Engineering team as they strategically enable scientists across Vertex with data. As part of the Data & Software Engineering (DSE) Team, you will be responsible for developing, curating, and maintaining data assets that enable our scientists and manufacturing and supply chain teams to make timely, informed, and critical decisions.. You will work closely with data scientists, data engineers, and platform engineers to scale the Vertex Data Platform, which is Vertex’s cutting edge technology ecosystem for Data Engineering, Data Science, and Advanced Analytics. Using the VDP, you will help ensure that our scientists are equipped with information to drive their analysis, models, and investigations. Vertex Pharmaceuticals is in a transformational period where we are accelerating our capabilities, technologies, and data to augment our scientific mission, enable Vertex to grow in scale, and continue to be on the forefront of science, medicine, and technology. As part of this effort, it is critical to ensure that the Vertex’s research data platform continues to accelerate and enable our data scientists to drive innovation and insight. Key Responsibilities: - Data Engineering – Integrate & curate data from research systems & artifacts to support analytics, modelling, machine learning, and investigation. Collaborate closely with our research engagement teams to understand requirements, and translate them into data solutions - Data Engineering management - Manage, maintain, and improve the Vertex Data Platform solutions that support & enable research scientists and manufacturing and supply chain analytics teams - Delivery management – Estimate, architect, and execute on delivery of critical data solutions across research, manufacturing, and supply chain domains in partnership with the DSE leadership team - Operations Management – Manage a team of data engineers to maintain compliant, timely, secure, and reliable data workloads for Research. Work alongside our DSE MLOps team to support complex workloads that leverage curated & model ready data - Innovation champion - Advocate for process enhancements and opportunities to improve our capabilities with a focus on efficiency, scale, and data connectivity Qualifications: - Minimum of 9 years of development experience using Snowflake, Databricks, Spark, Redshift, or equivalent data technologies - Minimum of 9 years of experience in pharmaceutical research, with an emphasis on data engineering, data science, data integrity, and data governance - Prior experience leading Data Engineering projects and teams - 3+ years leveraging Databricks, Snowflake, AWS, or equivalent cloud data platforms - Demonstrated experience with pipeline technologies like Astronomer / Airflow, MLFlow, etc. - Demonstrated ability to work independently and manage multiple projects that require collaboration across functional areas. - Skillful, collaborative team player able to develop rapport and credibility with stakeholders. - Demonstrated ability and willingness to teach, engage and support others as they learn new technologies and concepts. - Enthusiasm for and the ability to quickly learn new technologies and tackle difficult problems - Strong presentation, verbal, and written communication skills - Working knowledge of key workflow tools, including JIRA and Confluence #LI-REMOTE Pay Range: $148,000 - $222,000 Disclosure Statement: The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law. At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more. Flex Designation: Remote-Eligible Flex Eligibility Status: In this Remote-Eligible role, you can choose to be designated as: 1. Remote: work remotely five days per week and come into the office on occasion – you’re always welcome on-site; or select 2. Hybrid: work remotely up to two days per week; or select 3. On-Site: work five days per week on-site with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time. #LI-Remote Company Information Vertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

Location: This position is remote within the United States. About Technology at HugeAt Huge, technology is more than a delivery mechanism; it’s a canvas for experimentation. We don’t just build products; we architect and scale the future of how people connect with digital environments. Our technologists are makers and visionaries who bridge the gap between “what if” and “here it is,” ensuring that every line of code pushes the boundaries of craft and utility. The RoleHuge is looking for a Senior Data Engineer with strong experience in web analytics implementation and data tracking architecture. In this role, you will support the implementation and optimization of analytics frameworks that enable accurate measurement of user behavior across digital platforms. You will work closely with engineering, product, and analytics teams to ensure that tracking systems are properly implemented, scalable, and aligned with business and reporting needs. This role requires hands-on experience with Google Analytics ecosystems and a strong understanding of web data instrumentation. IMPORTANT DISCLOSUREThis is a freelance contract role. Candidates must be available for the full duration of the project and agree to the allocation and hours outlined below before entering the interview process. - Start date: March 30 - End date: April 10 - Allocation: 100% - Total hours: 64 - Candidates must use their own equipment. What You’ll Be Doing - Implement and maintain Google Analytics tracking across web platforms. - Configure and manage event tracking and conversion tracking strategies. - Implement and maintain Google Tag Manager containers and tagging architecture. - Develop and manage DataLayer structures to ensure accurate data capture. - Support GA4 implementation and optimization for web analytics. - Ensure proper web analytics instrumentation for user behavior tracking. - Validate tracking accuracy and collaborate with teams to resolve tracking issues. - Work with engineering and product teams to ensure analytics tracking aligns with platform architecture. - Support the implementation of scalable tracking frameworks for digital products. - Ensure data accuracy for reporting, performance analysis, and decision-making. What We’d Like to See - Strong experience with Google Analytics tagging and implementation. - Hands-on experience with Google Analytics 4 (GA4). - Experience implementing and managing Google Tag Manager (GTM). - Experience configuring event tracking and conversion tracking. - Experience implementing and managing DataLayer structures. - Strong understanding of web analytics instrumentation and user behavior tracking. - Ability to collaborate with cross-functional teams in agile environments. Contract Details - Start date: March 30 - End date: April 10 - Allocation: 100% - Total hours: 64 - This is a freelance contract role. This role is currently not available for hire or work in New Mexico, and Hawaii. About Huge Huge is a design and technology company. We create products and experiences that grow the world’s most ambitious brands. We do this by designing experiences for people, not users, and uncovering new sources of growth by leveraging our creative talent, our proprietary platform LIVE and unlocking the advantages brought to us by emerging technologies. We believe all experiences should be intelligent, shoppable and unique to every brand. Huge’s nearly 1,000 thinkers, tinkerers, makers and creators, have been problem-solving across North America, Europe, and Latin America for over 25 years. Interested? You’ll find more information at www.hugeinc.com. Huge is committed to creating an inclusive employee experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or if you’re parenting the next generation of innovators, we firmly believe that our work is at its best when everyone feels free to be their most authentic self. Huge is an equal opportunity employer (EOE). We strongly support diversity in the workforce. We are committed to an inclusive, barrier-free recruitment and selection process and work environment. If you are contacted for a job opportunity, please advise us of any accommodation needed to ensure you have access to a fair and equitable process. Any information received relating to accommodation will be addressed confidentially. Workers shall not be required to pay employers’ or agents’ recruitment fees or other related fees for their employment. If any such fees are found to have been paid by workers, such fees shall be repaid to the worker. #LI-POST #LI-Remote The salary range for this position is as listed below. Exactly where a prospective employee will be paid within this range will depend on, among other factors, the actual salary ranges for current and former employees who are either currently filling a similar role or did in the past; the candidate’s depth of experience and qualifications; the level of specialization the role requires; budgetary considerations; the market demand for that role and the local market conditions that exist where the employee will be based. For current Huge employees, tenure will also be a consideration. Wage Disclosure $65—$70 USD

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Data Engineer - REMOTE. You will play a crucial role in shaping the backbone of the data platform, ensuring security, reliability, and trust while managing vast volumes of data from workouts and health-related sources. Your expertise will directly impact product innovation, AI, and analytics, allowing our partner to continue redefining the training experience. By building and scaling data systems, you'll contribute to personalizing experiences and enhancing coaching. Your work will ensure that sensitive information is protected while maintaining compliance with an ever-evolving regulatory landscape. - Architect secure and scalable data systems that support growth and meet regulatory standards. - Build and optimize data models and pipelines across diverse sources: sensors, workouts, and health integrations. - Establish controls for access, encryption, anonymization, monitoring, and auditability. - Define and enforce best practices for managing sensitive data, including PHI and PII. - Collaborate with teams across various departments to translate needs into compliant solutions. - Conduct risk assessments and implement safeguards guided by NIST frameworks. - Support SOC 2 audits by documenting and demonstrating effective security controls. - Mentor engineers and scientists, setting high standards for secure data engineering. - Continuously evolve the platform, introducing tools and frameworks to balance innovation with regulatory compliance. Qualifications - 8+ years of experience in data engineering, or 6+ years with a Master’s degree (or equivalent). - Strong skills in SQL, Python, and distributed data processing (Spark, Databricks, or similar). - Experience building pipelines with DBT, Airflow, Fivetran, or related tools. - Background in data modeling and warehousing with systems like Snowflake, Databricks, or Redshift. - Hands-on experience working with regulated environments and sensitive data. - Familiarity with frameworks such as HIPAA, SOC 2, and NIST for security and compliance. - Skilled in access control design, audit logging, encryption, and governance. - Excellent communicator who can explain complex tradeoffs to both technical and non-technical audiences. - Known for technical leadership and mentoring, raising the bar for engineering quality. Benefits - Flexible work schedule with remote opportunities. - Collaborative work environment with cross-functional teams. - Opportunities for professional growth and development. - Inclusive culture that celebrates diversity and nurtures unique perspectives. - Support for accessible work arrangements and accommodations. - Innovative projects that leverage cutting-edge technology and data. - Participation in ongoing training and skill enhancement programs.

Join the Team Serv, a global executive recruitment partner, is hiring on behalf of our client Mercator.ai for a Lead Data Engineer (Data Pipelines). MercatorAI is building scalable data infrastructure to power high-quality, data-driven decision making at scale. As an early-stage company, the team is focused on creating robust, future-ready systems that can handle complex data ingestion, transformation, and delivery across a growing national footprint. This role is responsible for owning and evolving the company’s data pipeline architecture, ensuring systems are scalable, reliable, and built to support long-term growth. Position Overview The Lead Data Engineer is the technical owner of MercatorAI’s data infrastructure and pipeline systems. This individual will lead the design, development, and scaling of distributed data pipelines while remaining hands-on in implementation. This is a builder role suited for someone who enjoys working directly in the code while also setting architectural direction. You will be responsible for scaling existing systems, improving performance and reliability, and integrating modern tools including AI-assisted workflows to enhance engineering output. This role requires strong technical depth, ownership, and the ability to operate effectively in a fast-paced, early-stage environment. Position Responsibilities - Lead the architecture and evolution of scalable, distributed data pipelines, ensuring high availability and performance at scale - Design and implement robust data models to support reporting and advanced data applications - Build and maintain distributed web scraping systems using tools such as Playwright, Selenium, and BeautifulSoup - Develop systems capable of handling anti-scraping measures, proxy rotation, and high-volume data extraction - Integrate AI and LLMs into engineering workflows for code generation, automation, and optimization - Apply prompt engineering techniques to improve data processing, documentation, and troubleshooting - Identify and implement system and process improvements to optimize performance and efficiency - Manage and scale cloud-based data infrastructure, including data warehouses, object storage, and search systems - Deploy and maintain containerized workloads using Kubernetes - Implement data quality monitoring and governance processes to ensure accuracy and reliability - Mentor junior engineers through code reviews, documentation, and knowledge sharing - Communicate technical concepts clearly and provide business context for engineering decisions Qualifications Required Experience & Skills - 5+ years of experience in Data Engineering with a track record of scaling systems - Expert proficiency in Python and advanced SQL, including performance tuning and optimization - Strong experience with workflow orchestration tools such as Airflow or Prefect and transformation tools such as dbt - Proven experience building resilient web scraping systems using Playwright, Selenium, and BeautifulSoup - Deep understanding of relational and NoSQL databases including Postgres, MongoDB, and ElasticSearch - Experience working with large-scale data systems such as BigQuery - Strong proficiency with CI/CD pipelines, Git, and Docker - Experience designing and maintaining distributed systems with high availability and fault tolerance Nice-to-Have Experience - Experience with GCP or AWS and Kubernetes for infrastructure management - Familiarity with LLMs such as ChatGPT, Claude, or Gemini for engineering workflows - Experience with prompt optimization and AI-assisted development Dream Teammate Our ideal teammate: - Is highly proactive and takes full ownership of systems and outcomes - Balances hands-on execution with long-term architectural thinking - Communicates complex ideas clearly and effectively - Thrives in fast-paced, early-stage environments - Is detail-oriented and committed to building high-quality, scalable systems - Actively supports and elevates teammates through knowledge sharing and mentorship - Brings curiosity and continuously looks for ways to improve systems and processes Compensation: $180-$200K base Location: Remote (Eastern timezone preferred)