Title: Data Engineering Instructor Location: United States Job Description: ABOUT PER SCHOLAS: For 30 years, Per Scholas has been on a mission to drive mobility and opportunity in the ever-advancing technology landscape by unlocking the untapped potential of individuals, uplifting communities, and meeting the needs of employers through rigorous tech training. By teaming up with dynamic employer partners, ranging from Fortune 500 companies to innovative startups, we're forging inclusive tech talent pipelines, fulfilling an ever-increasing need for skilled talent. With national remote training and campuses in 20+ cities and counting, Per Scholas offers no-cost training programs in the most sought-after tech skills, spanning Cloud, Cybersecurity, Data Engineering, IT Support, Software Engineering, and more. To date, 30,000+ individuals have been trained through Per Scholas, propelling their professional trajectories into high-growth tech careers with salaries three times higher than their pre-training earnings. Learn more by visiting PerScholas.org and follow us on LinkedIn, X, Facebook, Instagram, and YouTube. Per Scholas preferred hires reside within the following states: AZ, CA, CO, FL, GA, IL, IN, KS, MD, MA, MI, MO, NC, NJ, NY, OH, PA, TX, WA SCHEDULE: In-person DURATION: Contract, 4 months (16 weeks+) REPORTS TO: Director, Technical Instruction COMPENSATION: 60$/hour WHO WE ARE LOOKING FOR Per Scholas is seeking a dynamic, detail-oriented Data Engineering Instructor to join our team. We are looking for a problem-solver with a strong technical background in modern data pipelines, cloud technologies, and AI integration. To succeed in this role, you must be business-minded, mission-driven, and capable of translating complex technical concepts into job-ready skills for diverse learners. You will lead a cohort through a rigorous training program, preparing them for entry-to-mid-level careers in Data Engineering. WHAT YOU&rsquo;LL DO - Deliver High-Quality Instruction: Lead daily live technical training in-person, covering the full Data Engineering lifecycle including Linux, Python, SQL, Big Data frameworks, and Cloud technologies. You must be prepared to seamlessly pivot to Zoom-based remote instruction if required by business contingencies. - Manage Student Performance: Monitor individual progress, grade assessments (KBAs via Canvas, SBAs via HackerRank), manage attendance, and provide one-on-one tutoring for learners who need additional support. - Facilitate Hands-On Labs: Guide students through practical exercises, troubleshooting code issues in real-time, and overseeing the final Capstone Project. - Leverage AI Tools: Integrate Google Gemini (primary) and other tools (ChatGPT, GitHub Copilot) into the classroom to demonstrate code generation, debugging, and explaining complex technical concepts. - Curriculum & Platform Support: Maintain lesson plans and manage external learning platforms, including enrolling and tracking learner progress in Coursera for the Google Data Analytics Professional Certificate modules (specifically Tableau). - Administrative Duties: Update the LMS (Canvas, Salesforce) and communication channels (Slack) with attendance, grades, and progress notes daily. WHAT YOU&rsquo;LL BRING TO US Must-Have Qualifications (Required) - Education & Background (One of the following is required): - Bachelor&rsquo;s Degree in Computer Science, Data Science, or a related field. - OR Graduate of a rigorous Technical Bootcamp (Per Scholas alumni preferred). - OR Equivalent Industry Experience in Data Engineering, Data Analytics, or Software Development. - Teaching Experience: Minimum 1 year of teaching, training, or mentoring experience in a technical environment. - AI Integration: Proficiency in using Google Gemini to assist in coding, debugging, and instructional workflows. - Scripting & Automation: Proficiency in Unix/Linux command line navigation and basic shell scripting. - Version Control: Experience with Git and GitHub for version control and collaboration. - Python Programming: Advanced proficiency in Python, including data manipulation and analysis using NumPy and Pandas. - Database Expertise: In-depth knowledge of Relational Databases, SQL programming, and database design principles. - Big Data & ETL: Practical experience with Apache Spark, Spark SQL, and ETL/ELT data warehousing processes. - Data Visualization: Strong proficiency in Tableau (required for specific curriculum modules) and Python libraries like Matplotlib/Seaborn. - Cloud Technologies: Experience with AWS</strong> services relevant to data analytics (e.g., Redshift, Athena, QuickSight, AWS Blueprint). Good-to-Have Qualifications (Preferred) - Advanced Teaching Experience: 3+ years of experience in adult education or bootcamp-style training. - Containerization: Familiarity with Docker and Kubernetes. - CI/CD: Knowledge of CI/CD tools and processes such as Jenkins. - Hadoop Ecosystems: Familiarity with Hadoop frameworks. - Certifications: AWS Certified Data Analytics, Google Data Analytics Professional Certificate, or Databricks Certified Associate. PERSONAL CHARACTERISTICS - Mission Alignment: You believe that talent is ubiquitous but opportunity is not, and you are passionate about creating on-ramps for diverse communities. - Agility: You thrive in a fast-paced environment and can adapt quickly to changes in the classroom or curriculum. - Data-Driven: You use student performance data to identify gaps and adjust your teaching strategies accordingly. - Life-Long Learner: You stay updated on the latest trends in Data Engineering and AI. WHY WORK HERE? - Impact: Make a tangible difference in the lives of individuals by providing them with the skills to launch sustainable careers. - Culture: Join a supportive, collaborative, and diverse team that values innovation and work-life balance. Benefits: Enjoy a competitive salary, comprehensive healthcare, 401K match, and self-development opportunities. Benefits & Perks Per Scholas offers a comprehensive benefits package designed to support your health, financial well-being, and overall quality of life! Holidays & PTO: Full-Time Per Scholas team members enjoy over 40 days of paid time off each year through a mix of holidays, vacation, and sick/personal time! All employees are eligible for Holiday pay upon hire (a total of 22 holidays annually, including a week off for Independence day and a week before the New Year). Full-Time Benefits Eligible employees also receive 80 Wellness Hours to use for Sick, Safe, or Personal reasons and accrue Vacation at a rate of 8 hours at the beginning of every month, supporting rest, recharge, and work-life balance. Vacation accruals increase with tenure. Part-time employees are afforded time off on a prorated basis and in accordance with local requirements. Comprehensive Medical Coverage: Benefit eligible employees can choose from multiple medical plans through Cigna or Kaiser Permanente (where available), with options to fit your needs. Eligible employees also have access to a Health Reimbursement Account (HRA) that reimburses eligible out-of-pocket expenses, up to $4,000 for individuals and $8,000 for families. Dental and Vision Insurance: Eligible employees can select from two dental plan options and a vision plan. Employees who waive medical coverage receive employer paid dental and vision premiums. Retirement Savings: 401(k) plan with a current 100% employer match on contributions up to 6%, eligible employees are offered entry and full vesting after 90 days with the company. Employee Assistance Program (EAP): Free, confidential, 24/7 access to counseling, legal support, and financial resources for employees and their household members Parental Leave: Eligible employees are offered up to 6 weeks of 100% paid parental leave to support employees as they welcome a new child and bond with their family. Additional Benefits & Perks: Eligible employees have access to employer-paid life and AD&D Insurance, as well as employer-paid short-term disability coverage, with the option to elect additional life coverage and long-term disability insurance. Flexible Spending accounts are available for healthcare, dependent care, and commuting expenses. Per Scholas also offers a range of voluntary benefits, including: Accident, Critical Illness, Hospital Indemnity, Legal Services, and Pet Insurance. Additional resources include healthcare concierge support, financial wellness tools, and employee discount programs. QUESTIONS? If you have any questions about this role, please feel free to email our Talent team. We look forward to viewing your application! Equal Employment Opportunity We're proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or national origin.

Job Description: The Sr. Staff Data Engineer provides architectural leadership across multiple data domains and drives the design of enterprise-scale data platforms supporting analytics and AI/ML systems. This role defines standards, influences strategy, and leads large cross-functional initiatives. - Define and drive architecture standards for data lakehouse, streaming, and batch processing systems. - Lead cross-team design and delivery of complex data platform initiatives. - Establish best practices for data modeling, pipeline orchestration, and platform scalability. - Serve as technical escalation point for high-complexity data challenges. - Drive platform reliability, cost optimization, and operational excellence. - Partner with security, compliance, and governance teams to ensure regulatory adherence. - Mentor senior engineers and shape engineering best practices across teams. - Evaluate emerging technologies and recommend strategic adoption. - Perform other duties that support the overall objective of the position. Education Required: - Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. - Or, any combination of education and experience which would provide the required qualifications for the position. Experience Required: - 12+ years of experience designing and scaling enterprise data platforms, including demonstrated leadership of cross-team initiatives. Knowledge, Skills & Abilities: - Knowledge of: Enterprise data platform architecture. Streaming and distributed processing systems. Infrastructure-as-code and cloud-native design. Healthcare regulatory environments. - Skill in: Large-scale system architecture design. Strategic technical decision-making. Cross-team technical leadership. Evaluating and modernizing platform capabilities. - Ability to: Influence engineering direction without direct authority. Lead enterprise-scale technical initiatives. Translate business strategy into scalable data architecture. The company has reviewed this job description to ensure that essential functions and basic duties have been included. It is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. This document does not represent a contract of employment, and the company reserves the right to change this job description and/or assign tasks for the employee to perform, as the company may deem appropriate. NextGen Healthcare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

• Define the long-term technical vision and enterprise architecture for data platforms supporting analytics, AI/ML, and regulated healthcare systems • Lead large-scale modernization and transformation initiatives • Establish governance frameworks for data architecture, scalability, and compliance • Partner with executive leadership to align data platform strategy with business objectives • Drive innovation while balancing risk, compliance, and operational stability

Hello, let’s meet! Who We Are While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started. What We Do We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland! Beyond Projects What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow. What sets us apart? Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself. You will be: - responsible for end-to-end ownership of the Snowflake-based data platform architecture, from design through production; - ensuring architectural consistency and quality across all implementation teams, - driving execution across distributed teams, including close collaboration with India-based delivery teams as well as acting as the primary technical counterpart for senior US-based stakeholders - operating in global delivery models across multiple time zones, - translating business objectives into concrete, executable technical plans, - making fast, pragmatic architectural decisions while effectively managing trade-offs, - unblocking teams and resolving cross-team technical dependencies, - defining and enforcing architectural standards, patterns, and guardrails, - ensuring production readiness, including scalability, security, governance, and operational robustness, - supporting rollout and early production phases when required. Your profile: - Technical skills: - deep, hands‑on experience with Snowflake as a core enterprise data platform, - proven track record of delivering large‑scale data platforms, not just designing them, - strong understanding of modern enterprise data platform architectures, - practical experience with data ingestion, transformation, and modeling patterns, - hands‑on experience with dbt or equivalent transformation frameworks, - solid understanding of cloud platforms (even if Snowflake is the core layer), - strong knowledge of security, governance, and operational considerations in production systems. - Leadership & Delivery: - ability to take full technical ownership without supervision, - confidence working directly with senior client leadership and decision makers, - strong decision‑making skills under ambiguity and time pressure, - delivery‑oriented mindset with high accountability, - ability to lead by authority, clarity, and execution discipline (without formal authority), - excellent communication skills, including the ability to clearly say “no” and define trade‑offs, - Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. Work from the European Union region and a work permit are required. Nice to have: - experience supporting early production or hypercare phases, - background in highly regulated or data‑sensitive environments, - previous experience acting in a Field CTO, Principal Architect, or equivalent role, - experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, - interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision