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90%+ Client Retention Rate since 1999 | AI/GenAI/ML • Cloud • Mobile • Data & BI • Enterprise Technology • Custom Apps
Senior Data Engineer
Location
United States
Posted
89 days ago
Salary
$120K - $140K / year
Seniority
Senior
Job Description
Senior Data Engineer
JBS Dev | Strategic Technology Experts
• Design and implement cloud-based data platforms, pipelines, and data hubs for client engagements • Support modernization and migration of legacy data systems to cloud-native architectures • Build and maintain high-quality, scalable data pipelines with strong observability and reliability • Combine data from multiple sources to create comprehensive, trusted data assets • Set up cloud compute and storage (AWS, Azure, SaaS/PaaS, SSO) based on project requirements • Design and implement centralized Data Hubs supporting AI/ML, KPI dashboards, SSO, and integrations across platforms (e.g., MarTech, eCommerce, EdTech, DXP, learning systems) • Develop reusable components for ingesting, normalizing, transforming, and serving data (DWH, reporting, dashboards, AI/ML use cases) • Implement lightweight, effective data modeling strategies focused on performance and maintainability • Ensure high availability, data quality, observability, governance, and cataloguing best practices
Job Requirements
- 10+ years of experience in data engineering, data platforms, BI engineering, and/or data architecture
- Proven experience with end-to-end data management, including data governance, cataloguing, observability, and quality.
- Advanced SQL expertise (query optimization, performance tuning, complex transformations).
- Hands-on Azure Fabric experience
- Strong SSIS and SSAS experience
- Strong Power BI experience, including data modeling, report/dashboard development, and performance optimization
- Experience designing and optimizing Data Lakes and enterprise data warehouses
- Demonstrated leadership in legacy system modernization to cloud (Azure preferred)
- Strong debugging and root-cause analysis skills
- Experience with at least one major cloud (Azure strongly preferred; AWS/GCP acceptable)
- Experience with Git and CI/CD best practices
- Excellent communication and client-facing skills.
Benefits
- Competitive Base Salary - Great work deserves great pay. We offer a base salary range between $120,000 - $140,000, commensurate with years of experience, technical expertise, and overall qualifications. This salary covers a standard 40-hour work week, and we strongly value maintaining a healthy work-life balance.
- Optional Paid Overtime - At JBS, overtime is never required, but if you choose to work additional hours beyond 40 in a week, those hours are compensated at an overtime rate. The decision to take on extra work is entirely employee-driven; we respect your time and encourage a balance that works best for you.
- Generous PTO policy - Take the time you need to rest, recharge, or travel the world
- 401k with company match - Contribute to your 401(k), and we’ll match up to 4%
- Comprehensive Health Coverage - Medical, dental, and vision plans for you and your family, with 90% or more of your deductible completely covered
- Fully remote - We’ve always been (and always will be) 100% remote
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About Us At Preferred Travel Group, we care deeply about our people, nurture independence, and celebrate individuality. Family values inspire us, and we believe that change creates opportunity. We are committed listeners and deliberate storytellers in hospitality. We engineer potential, foster trust, and co-create brighter futures. Our culture values collaboration, adaptability, and precision—qualities essential to every role. We are forever curious, guided by the Pineapple as our global symbol of hospitality. We believe the business of hospitality is borderless, and we proudly embrace that spirit every day. We believe that every team member brings unique strengths to the table, and we’re committed to creating an environment where those strengths can thrive. ________________________________________ Position Summary We are looking for a strategic, hands‑on, and people‑focused Manager, Data Engineering to lead a cross‑functional technical team responsible for designing, building, and supporting the company’s data and analytics estate. This role balances people leadership, technical oversight, and delivery management, ensuring the team executes effectively while adhering to company standards, architectural best practices, and long‑term scalability goals. Under the general supervision of the department director, the Manager, Data Engineering leads a team of technical professionals and plays a critical role in shaping how data solutions are delivered across the organization. The manager collaborates closely with engineering and business partners, serving as the primary representative for the data engineering team and ensuring strong two‑way communication—translating business needs into clear, actionable work while ensuring the team understands organizational priorities, expectations, and outcomes. ________________________________________ Key Responsibilities People Leadership & Team Management - Lead, coach, and develop a high-performing, collaborative technical team through regular 1:1s, feedback, goal setting, and performance reviews. - Manage team capacity, schedules, time-off planning, and on-call/support rotations as applicable. - Foster a positive, inclusive, and upbeat team culture; build cohesion across varied disciplines and experience levels. - Encourage continuous learning through mentorship, training plans, knowledge sharing, and support for skill development and career growth. Technical Leadership & Architecture Oversight - Maintain awareness of the department’s overall data estate, ensuring team decisions align with long-term strategy and do not create future constraints. - Contribute to, review, and approve technical designs, ensuring security, performance, scalability, maintainability, and cost considerations are addressed. - Document and ensure adherence to internal engineering patterns and standards (naming, code structure, deployment practices, observability, documentation, security, etc.). Delivery & Agile Project Leadership - With the project manager, lead agile ceremonies and delivery practices, including stand-ups, backlog refinement, planning, retrospectives, and stakeholder check-ins. - Partner with stakeholders to translate business priorities into actionable roadmaps and well-defined tickets. - Ensure appropriate task sizing, estimation, prioritization, and clear acceptance criteria to support predictable execution. - Manage delivery risk: proactively surface blockers, dependencies, scope concerns, and trade-offs; keep work moving while protecting quality. Stakeholder Communication & Representation - Serve as the primary voice for the team outside the team and the primary voice of the department/business within the team. - Maintain clear, consistent communication with business partners and technical stakeholders regarding status, timelines, risk, and outcomes. - Partner with stakeholders to clarify requirements, align on priorities, and ensure delivered solutions provide measurable business value. Operational Support & Quality - Ensure high availability and reliability of team-owned systems through monitoring, alerting, incident response practices, and root-cause resolution. - Drive quality through code reviews, testing standards, release practices, and post-implementation validation. - Establish and maintain operational documentation and runbooks to support consistent support and knowledge transfer. Hands-on Support - As needed, and as a last resort, contribute directly to technical work (design, debugging, code reviews, small fixes) to unblock delivery, support critical incidents, or guide best-practice implementation—while keeping the primary focus on leadership and oversight ________________________________________ Required Experience/Qualifications This position is classified as a Manager role and requires significant prior experience in a data engineering–related field, including people leadership, in addition to the following: - Bachelor’s degree in Computer Science, Information Systems, or other relevant degree/related field, or equivalent professional experience - Expert knowledge of modern data and analytics platforms - Expert knowledge of relevant languages, such as SQL, dbt, Python, and/or C# - Expert knowledge of cloud data platforms and tooling (Azure/Fabric preferred) - Experience with Machine Learning, Predictive Analytics, and/or Artificial Intelligence projects - Demonstrated ability to lead predictable delivery using agile practices. - Proven ability to mentor and grow technical team members and build team culture. - Excellent verbal and written communication skills. ________________________________________ Typical Behaviors & Working Style The ideal candidate will demonstrate the following behavioral traits: - Preference for varied tasks or projects. Comfortable balancing multiple simultaneous projects in a fast-paced environment. - Focus is on technical and analytical work. Must adhere to established standards and guidelines, troubleshooting problems based on expert knowledge. - Needs to make decisive, quick decisions within a pre-defined span of control, adhering to accepted quality standards, policies, and procedures. Will also train others to make and uphold accurate decisions. - Communicates based on the task or technical needs at hand, defining clear team roles. Minimal collaboration is required, although they must prioritize specific tasks or problems. - Leads according to specialty or expertise. Will act with conviction to ensure quality standards, rarely delegating. When delegation is required, follow up will be close. ________________________________________ Preferred Working Environment & Job Characteristics This role is best suited to someone who thrives in a: - Leadership focused data engineering environment, taking ownership of team performance, technical direction, and delivery outcomes. - High standards, quality driven setting, where scalable architecture, reliability, security, and governance are non negotiable. - Fast paced, multi priority environment, balancing people leadership, delivery oversight, stakeholder needs, and operational demands. The ideal candidate will find great satisfaction in: - Leading and developing high‑performing technical teams, fostering collaboration, accountability, and continuous improvement. - Setting technical direction and engineering standards, ensuring data solutions are robust, scalable, and aligned with long‑term strategy. - Partnering with business and technical stakeholders, translating complex needs into clear priorities and measurable outcomes. - Driving consistent, high‑quality delivery, while maintaining operational excellence and supporting business‑critical systems. ________________________________________ What success in this role looks like - A high‑performing data engineering team delivering consistently, with clear direction, accountability, and strong engagement. - Reliable, scalable, and well‑governed data platforms that support critical business decisions. - Business needs translated into clear technical outcomes, delivering measurable value. - Strong stakeholder trust, built through clear communication, predictable delivery, and high standards. ________________________________________ Working Conditions This is a fully remote position. All technology required will be provided. ________________________________________ Training - Orientation via some live remote and some pre-recorded video sessions - IT security training - Internal development process and procedures - Company-approved AI technology ________________________________________ Disclaimer The above information is designed to indicate the general nature and level of work performed. It is not intended to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. ________________________________________ Salary $150,000 - $180,000 actual compensation within this range will be determined by multiple factors including candidate experience and expertise.
Data Engineer
HeadQuarters Cannabis Staffing and ServicesHeadquarters, established in 2020, is a staffing and services partner specializing in supporting cannabis companies. The company operates remotely, fostering a
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Role Description Le candidat, intégré à l’équipe Carrefour Services du Quotidien, aura en charge avec l’accompagnement de sa hiérarchie, puis en autonomie à l’issue de la période de formation, plusieurs projets avec les missions suivantes : - Suivre le déploiement, dans les magasins Carrefour, des Services du Quotidien (Retrait Colis, FDJ, La Poste, Laveries automatiques, Bornes monnayeurs,…) : études des opportunités d’implantation, suivi des dossiers d’ouverture avec les partenaires, reportings de suivi des performances et des plans d’actions. - Challenger l’offre de nos partenaires et leurs outils/process afin d’améliorer l’expérience opérationnelle et le parcours client. - Suivre la résolution des anomalies constatées en magasin en challengeant les partenaires. - Mettre à jour les procédures, formations. - Etudier le Marché et la Concurrence afin d’innover et compléter l’offre de Services existants. Qualifications - Niveau études : Alternance en Bac + 4 (Master 1) à minima - Diplôme: BAC + 3 - Ecole cible (si identifiée) : Ecole de Commerce - Expérience similaire souhaitée en stage ou alternance - Compétences organisationnelles avec la capacité à évoluer en autonomie après le temps de formation - Esprit d’analyse et capacité à synthétiser - Maitrise de la Google Suite : Google Sheet, Google Slide, Looker Studio - Exécution minutieuse des tâches : suivi de projet et réalisations, reportings, points d’attention et plans d’actions, points hebdomadaires et mensuels,…. - Source de propositions / d’innovations Requirements - Lieu de travail : Massy (91) - RER B et C - Type de contrat : Stage (6 mois) - Date de début prévue : Avril 2026 - 50 % de prise en charge du titre de transport - Accès aux services du siège (cantine, salle de sport, conciergerie…) - Contraintes du poste (horaires, déplacements, etc.) : possibilité de quelques RDV en région parisienne avec l’équipe Carrefour Services du Quotidien dont RDV partenaires (fournisseurs) + Visites magasins Carrefour Benefits - 50 % de prise en charge du titre de transport - Accès aux services du siège (cantine, salle de sport, conciergerie…)
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are a growing property management company seeking an entry-level Systems Migration & Support Specialist to support our RealPage, Entrata and/or Yardi property management systems. The ideal candidate will be responsible for: - Responding to support tickets and resolving system issues in a timely manner - Assisting with property management system migration during property onboarding - Distributing and supporting the ongoing use of property management systems - Collaborating with team members to improve processes and optimize system functionality - Maintaining system documentation and training materials - Delivering systems training - Identifying and escalating system issues to the appropriate team members - Providing excellent customer service to internal and external stakeholders Qualifications - Bachelor's degree in Business Administration, Information Systems or related field - Familiarity with property management systems such as RealPage, Entrata and/or Yardi is preferred - Ability to work well in a team-oriented environment - Excellent problem-solving and communication skills - Strong attention to detail and organizational skills - Process optimization focus - Proficiency in Microsoft Office applications Requirements This job description should not be considered all-inclusive. It is merely a guide of expected duties. The employee understands that the job description is neither complete nor permanent and may be modified at any time. At the request of their supervisor, an employee may be asked to perform additional duties or take on additional responsibilities without notice. Compensation Asset Living is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to the remote nature of this position and includes the range of factors considered in making compensation decisions including but not limited to skill sets; experience and training; certifications; etc. A reasonable estimate of the range is $55,000-$65,000.00.

