Job Closed
This listing is no longer active.
Manager, Data Engineering
Location
United States
Posted
91 days ago
Salary
0
No structured requirement data.
Job Description
Manager, Data Engineering
Preferred Travel Group
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.
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
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
• Build and maintain API integrations • Ingest, clean, and normalize data from external sources • Create reliable base tables for reporting • Write and optimize SQL queries • Develop and maintain Python-based data pipelines • Orchestrate workflows using Airflow • Manage GitHub repositories and scheduled data pushes (e.g., into BigQuery) • Test and validate data accuracy (ensuring API outputs match UI data) • Collaborate closely with Product, Data Analytics, and Engineering
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.
Senior Data Engineer
HumanaLouisville, Kentucky-based Humana is a leading healthcare company that offers a variety of health, wellness, and insurance products and services designed to offer an integrated app
Become a part of our caring community and help us put health first We are looking for talented Senior Data Engineer who loves building and pioneering in space technology. Team player who enjoys solving complex problems in fast paced, collaborative and iterative delivery environment It all begins with outstanding talent. It all begins with you. The Senior Data Engineer Designs builds, and maintains data processing architectures and solutions enabling the efficient conversion of structured and unstructured data to insights at enterprise scale. The Senior Data Engineer Ingests data from internal and external sources utilizing cloud native platforms and software development best practices and patterns. Develops software tools that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data into insights and actions that enables Humana to better serve our members. Responsibilities: - Act as one of the primary point of contact for the team, build POCs, build quick prototypes with latest industry standard software libraries and scale it for the platform - Design, code, test, debug and document programs using Agile development practices - Develops new documentation and departmental technical procedures - Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments. - Troubleshoots business and production issues by gathering information (for example, issue, impact, criticality, possible root cause); engaging support teams to assist in the resolution of issues; formulating an action plan; performing actions as designated in the plan; interpreting the results to determine further action; performs root cause analysis to prevent future occurrence of issues; and completing online documentation - Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Use your skills to make an impact Required Qualifications: - 10 + years of Data engineering experience with Hands-on experience with Data Lakes, Event Streaming, Data Fabric, DevOps. - 6 + years of experience designing software applications using best practices and design first approach - 6 + years of experience with Python, Azure Databricks, Pyshark, Snowflake, - Experience in event-based streaming using Kafka in various formats like Json or Avro - Experience designing and developing cloud solutions using AWS, Azure or Google is a significant plus - Experiencing leading engineering team/teams in end-to-end delivery - Proficiency in federated data architectures (e.g., Data Mesh) and centralized models. - Strong experience with metadata management, data lineage, governance, discovery, and quality. - Experience in Database related tech like Oracle or Sql server - You identify with the success of the team, and dive in to do whatever it takes to create the best work - Experience analyzing existing applications and making modifications for new features while maintaining other existing functionalities - Experience working with GitHub and/or GitLab, SonarQube, JUnit, designing unit test cases using TDD and BDD methodologies - Experience using CI/CD pipelines and code quality tools - Test driven mindset using frameworks like Junit, SOAPUI, Selenium and contract testing tools - Expert knowledge of the Agile methodologies - Experience in Docker and Kubernetes Preferred Qualifications: - Familiarity with machine learning frameworks, tools and MLOps - Experience with developing highly scalable and always available applications on large-scale distributed databases. - Experience in React or Angular - Experience in micro services design and development - Exposure to AI Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $117,600 - $161,700 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description of Benefits Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. Application Deadline: 03-11-2026 About us Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large. Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

