Join Aya Healthcare, winner of multiple Top Workplace awards! We are looking for a highly experienced Senior Data Engineer to join our Data Operations team! In this hands-on senior role, you will design, develop, and optimize large-scale, high-volume, high-performance data infrastructure and pipelines for client integrations. You will play a key role in shaping our data architecture, leading complex initiatives, and mentoring junior team members. This is an opportunity to join a nimble team working in a fast-paced environment where your expertise, leadership, and strategic thinking will directly impact the business. WHO WE ARE: We’re an $8+ billion, rapidly growing workforce solutions provider in the healthcare industry. We deliver tech-enabled services that help healthcare organizations meet and manage their contingent labor needs. We build and manage tech-enabled marketplaces for national and local healthcare talent and deliver contingent labor management solutions through our proprietary software platform. At Aya, we’re obsessed with creating exceptional experiences for our clients, clinicians and employees. In fact, we put employee satisfaction above all else. Our team members are responsible for incomparable customer experience and we know that happy employees are critical to maintaining happy clients. We foster an entrepreneurial, high-energy, low-bureaucracy culture and value innovative thinking and creative problem solving. We embrace diversity in thought and backgrounds unified by a commitment to high achievement. When you join Aya, you’ll be surrounded by teammates who care about you as an individual and leaders who will help you grow both personally and professionally. RESPONSIBILITIES: - Lead the design and implementation of scalable, robust data architectures supporting enterprise-level data solutions - Design, build, and maintain complex ETL/ELT pipelines integrating data from diverse sources (APIs, cloud platforms, databases) - Own and deliver high-impact, complex data engineering projects end-to-end - Provide technical leadership and mentorship to junior and mid-level data engineers - Establish and enforce data engineering best practices, standards, and governance - Collaborate with cross-functional teams and client engineering teams to define data integration strategies and requirements - Monitor, troubleshoot, and optimize data pipeline performance, scalability, and reliability - Drive improvements in data quality, observability, and operational efficiency - Ensure data security, privacy, and compliance through proper architecture and Azure policies REQUIRED QUALIFICATIONS: - Bachelor’s degree in computer science, information systems, or a related field - 6+ years of experience in cloud data architecture, design and data governance - Strong experience with Azure cloud services, such as Azure Data Lake Storage, Azure Data Factory, and Azure Synapse - Proficiency in programming languages, such as SQL, Python, Scala, or Java - Experience with big data processing frameworks, such as Apache Spark, Hadoop, or Apache Kafka on Azure - Knowledge of various data storage solutions, such as relational databases, etc. - Creating & Managing documentation on methodologies, tools and techniques - Strong analytical problem-solving and the ability to explain complex technical designs to non-technical stakeholders - Proven ability to lead complex projects and mentor team members - Willing and able to work irregular hours as needed WHAT WE OFFER: - Free premium medical, dental, life and vision insurance - Generous 401(k) match - Aya also offers other benefits to those that are eligible and where required by applicable law, including reimbursements and discretionary bonuses - Aya provides paid sick leave in accordance with all applicable state, federal, and local laws. Aya’s general sick leave policy is that employees accrue one hour of paid sick leave for every 30 hours worked. However, to the extent any provisions of the statement above conflict with any applicable paid sick leave laws, the applicable paid sick leave laws are controlling - Celebrations! We hit our goals and reward ourselves. - Company-sponsored virtual events, happy hours and team-building activities are always on the horizon — plus, you get a special treat on your birthday! - Unlimited DTO — we believe in time off! - Virtual yoga, meditation or boot camp classes offered daily COMPENSATION: Aya reasonably anticipates the pay scale for this position to be an annual salary of $140,000. The pay scale for this position may vary if applicant possesses experience outside of what Aya reasonably anticipates for this position. Bonuses are subject to the role and your manager’s discretion. Aya is an Equal Opportunity Employer (EEO), including Disability / Vets, and welcomes all to apply. Please click here for our EEO policy.

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: We are CrowdStrike, a fast-growing security company that protects our wide range of customers from cybersecurity attacks. We are looking for a strong Data Analytics Engineer to join our team supporting Product and Engineering. In this critical role, you'll partner closely with technical stakeholders to deliver the metrics, models, and infrastructure that drive product strategy, roadmap decisions, and adoption insights. You’ll work with large-scale product telemetry and system data to help CrowdStrike measure feature usage, guide engineering investments, and understand user behavior across our cybersecurity platform. This is a hybrid role based out of our office in NYC. The candidate should be comfortable visiting the office twice a week once the development center is established. What You'll Do: - Assist our decision makers by gathering insights that help us improve our products or give us hints on areas where we need to put additional focus on. - Translate business questions from Product and Engineering into clear metrics, models, and visualizations. - Collaborate with cross-functional teams to define and track product KPIs tied to adoption, engagement, performance, and customer outcomes. - Design and implement reliable, scalable data pipelines to ingest and transform product usage and adoption data. - Manage various data sources, creating Extract-Transform-Load (ETL) solutions, and designing data models based on latest technologies and best practices. - Significant role in defining the data architecture and helping various stakeholders to translate product questions into measurable metrics and KPIs. - Proactivity, self-learning capabilities and communication are crucial. - End-to-end ownership of the data pipeline, from data collection to meaningful presentation of the defined metrics. - Develop ETL jobs to gather data from multiple sources and provide insights into various product areas. - Build data warehouses where large amounts of metrics and data will be stored. - Interact with many product groups within the organization to help define business questions and help transform those to metrics. - Develop and maintain data visualizations that effectively communicate data insights to stakeholders. - Implement data visualization tools to support the requirements and help present various metrics in a clear and consistent manner. - Participate in configuring and receiving uptime alerts related to the services you control. - Keeping services up and running in a healthy state, including optimization of their performance and stability. - Develop automations for data validation to ensure data integrity and consistency over time. What You'll Need: - Must be eligible for CJIS clearance (typically requires U.S. citizenship or permanent residency). - 5+ years of experience in a data-centric role (Data Analyst, Data Engineer, or hybrid). - Ability to translate business needs into scalable, trustworthy data solutions. - Experience of architecting data pipelines - data ingestions, ETLs, reporting and visualizations - Experience extracting data from large data systems. LogScale preferred. - Experience programming in at least one object-oriented programming language, featuring strong types. Python or Golang preferred. - Experience developing and consuming RESTful API web services. - Experience interacting with major cloud provider APIs to provision cloud infrastructure, and to monitor it - Amazon Web Services (AWS), Azure, Google Cloud (GCP) and Oracle Cloud Infrastructure (OCI). - Experience using RDBMS databases, such as Postgres, and accompanying knowledge of SQL. - Experience with data modeling and Extract-Transform-Load (ETL). - Experience with data visualization tools and infrastructures to create insightful reports and dashboards. Tableau preferred. - Proficiency in using Claude code to build AI-powered reports aggregating data from disparate sources. Bonus Points: - Experience with analytical databases. - Experience with dbt, Airflow, or other modern orchestration frameworks. - Experience with Golang and Streaming pipelines. - Knowledge of product telemetry systems or event-based data structures. - Experience working in cybersecurity, SaaS, or public sector analytics. - Exposure to cloud platforms like AWS, GCP, or Azure. - Understanding data structures and commands for a key-value distributed caching solution, such as Redis. - Understanding data structures and various APIs, for full-text search of application logs and event data in Elasticsearch. - Experience with Cassandra, CQL, and its wide-column store database. - Experience using graph structures (ie. nodes, edges), graph data, and graph databases. - Experience using a message queue. Kafka preferred. - Strong data visualization skills to present complex data structures proficiently and actionably. #LI-IL1 #LI-DG1 #HTF Benefits of Working at CrowdStrike: - Market leader in compensation and equity awards - Comprehensive physical and mental wellness programs - Competitive vacation and holidays for recharge - Paid parental and adoption leaves - Professional development opportunities for all employees regardless of level or role - Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections - Vibrant office culture with world class amenities - Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. Find out more about your rights as an applicant. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.For detailed information about the U.S. benefits package, please click here.

Role Description Are you passionate about turning data into meaningful insights that improve patient care? We’re looking for a talented and motivated Data Engineer to join our Business Intelligence & Information Services team, helping shape the future of data-driven decision‑making across the Trust. In this role, you will take ownership of developing, maintaining and enhancing our local data warehouse and reporting solutions. Your work will ensure that staff across the organisation have access to timely, accurate and relevant information to support the planning and delivery of outstanding healthcare. - Developing and improving the Trust’s data warehouse, reporting environment, and ETL processes - Managing routine and bespoke data extractions from clinical and operational IT systems - Leading on the Trust’s reporting strategy, including exploring modern web‑based reporting tools and data collection solutions - Ensuring high‑quality, reliable datasets that support operational performance, clinical services and statutory reporting - Working closely with colleagues in the BI & Information Services Development Team, as well as Divisional Managers, senior leaders and clinicians - Collaborating with partners across the wider health system, including local ICBs/CCGs This role offers significant scope for autonomy and innovation—you’ll be the specialist driving improvements in how the Trust uses data, with opportunities to shape new approaches and introduce new technologies. If you’re curious, solutions‑focused and keen to use your technical skills to make a real impact in the NHS, we’d love to hear from you. - Develop and maintain the Trust’s local data warehouse and reporting systems, working collaboratively with the Information Services Development team. - Keep documentation accurate and up to date, including warehouse design specifications and reporting requirements, in line with Information Services quality standards. - Provide specialist training and support to users of the performance reporting application, offering guidance on best practice, policies, and procedures. - Ensure timely, relevant and accurate information is available to support effective decision‑making across the Trust and with external partners. - Create and monitor data quality reports to highlight process issues, escalating concerns to operational managers so that corrective actions can be taken. - Monitor Dataset Change Notices (DSCNs), advising on their impact and implementing required changes to maintain compliance within the warehouse and reporting outputs. - Work proactively with teams across the Trust to identify reporting requirements and system enhancements, supporting the successful implementation of changes in reporting definitions or processes. - Collaborate with IT Development and Information colleagues to improve data quality, raising awareness and embedding best practices across the organisation. Benefits - We put people at the heart of what we do, working together as one team to make a difference for our patients, each other, and our community. - We are proud to be in the top 20 best hospitals to work for in the country. - We are committed to creating a compassionate and inclusive environment. - A culture of learning, developing and innovating is the thread that runs throughout our whole organisation. - We value staff wellbeing, with a well-established programme of support. - We believe in a holistic approach spanning all aspects of living a healthy life, including physical, emotional, spiritual and financial wellbeing. - We’ve even got a pool! Company Description We are committed to supporting you and hope you want to join our team. In the meantime, find out more about living and working in the beautiful historic city of Bath, learn about our extensive package of staff benefits, and read about how we’re providing healthcare fit for the future with the landmark Dyson Cancer Centre and our passion for research.

Role Description As a Data Engineer, you are a technically rigorous and innovation-minded professional responsible for designing, building, and evolving the data pipelines, migration frameworks, and integration systems that power Aeries implementations. While the initial focus of this role centers on migrating customer data from legacy Student Information Systems into Aeries, the scope is intentionally built to expand. - Design and execute ETL processes using TSQL, Python, and related scripting tools to migrate millions of structured and unstructured records across concurrent district projects, ensuring accuracy and integrity at scale. - Work with diverse data formats including Excel, CSV, Access databases, and SQL Server or other relational database extracts. - Validate and reconcile migrated data to ensure integrity, completeness, and alignment with district requirements. - Partner with Implementation Coordinators to deliver conversions on schedule and within defined scope. - Identify repetitive or manual conversion tasks as candidates for AI-assisted automation and contribute to process redesign efforts. - Leverage AI tools to accelerate data mapping, anomaly detection, and quality validation workflows. - Establish and document process baselines to measure time saved and efficiency gained through AI and automation adoption. - Continuously evaluate conversion methodologies and contribute to the development of repeatable, scalable frameworks. - Document standardized approaches, scripting patterns, and conversion playbooks for cross-team use. - Manage multiple concurrent conversion projects, maintaining clear priorities and proactive communication with stakeholders. - Communicate conversion status, risks, and outcomes clearly to both technical and non-technical audiences. Qualifications - Strong analytical and problem-solving skills with a bias toward efficient, scalable solutions. - Ability to manage competing deadlines across multiple projects with minimal supervision. - Collaborative team orientation with a proactive approach to identifying and resolving cross-functional dependencies. - Clear and concise written and verbal communication skills tailored to both technical and non-technical stakeholders. - Agile process familiarity and comfort working in iterative, feedback-driven delivery environments. - AI literacy and a growth mindset toward continuous tool adoption and workflow improvement. Requirements - 3+ years of data conversion, data migration, or data integration experience. - Proficiency in TSQL and at least one additional language such as Python or C#. - Hands-on experience with ETL processes and relational database structures. - Working knowledge of data formats including CSV, Excel, Access, and SQL Server extracts. - Familiarity with AI-assisted data tools, including Claude Code, and a willingness to evaluate and adopt new technologies. - SIS, ERP or EdTech industry experience is strongly preferred. - Bachelor's degree in Computer Science, Information Systems, or a related field — or equivalent professional experience. - Certifications in Microsoft SQL Server, Azure Data Engineering, dbt, or similar tools are a plus. Benefits - $95,000 - $125,000 base salary, based on experience & skills. - Annual bonus based on employee and company performance. - Health insurance coverage for employees and covered dependents. - Health Savings Account with employer contributions. - 401(k) plan with up to 4% employer match. - “Responsible PTO” with additional paid time off for sick time, volunteering, bereavement, and jury duty. - 11 paid holidays with additional paid closure between Dec 26–Jan 1. - Educational Reimbursement program and opportunities for ongoing professional development.