<h3>Job Description</h3><div>Job Description<div><div>Garner's mission is to transform the healthcare economy, delivering high quality and affordable care for all. By helping employers restructure their healthcare benefit to provide clear incentives and data-driven insights, we direct employees to higher quality and lower cost healthcare providers. The result is that patients get better health outcomes while doctors are rewarded for practicing well, not performing more procedures. We are backed by top-tier venture capital firms, are growing rapidly and looking to expand our team.</div>We are looking for a hands-on Data Engineering Manager to join our data engineering team and lead the development of our core data pipelines. The ideal candidate for this role should be excited about hands-on work, mentoring junior engineers, and working closely with Data Scientists.This is a fully remote position. Responsibilities will include:<ul><li>Build and maintain the pipelines that drive our provider rankings</li><li>Collaborate across disciplines to provide timely and accurate information</li><li>Protect our users' privacy and security</li><li>Assist in task planning, estimation, scheduling, and staffing</li><li>Mentor junior and mid-level engineers</li><li>Grow engineering teams by interviewing, recruiting, and hiring</li></ul>Our Tools:Python, Argo, Snowflake, AWSIdeal candidate has:<ul><li>7+ years of hands-on work building data pipelines</li><li>Proven work experience as a Data Engineering Manager or similar role (Engineer Team Leader)</li><li>Experience supervising a team of technical experts while making decisions related to engineering and software development</li><li>Expertise in SQL and Python</li><li>Comfortable leading research and development projects that produce new designs, products, and processes</li><li>Comfortable checking the team's work for technical accuracy</li><li>Ability to coordinate work with other managers and staff</li><li>Familiarity with healthcare or insurance</li><li>Experience working in a team using Agile methodologies and fluency with the Agile toolkit</li></ul>What we look for at Garner:<ul><li>Mission First: Our mission is to transform our healthcare system, delivering high quality and affordable care to all. Everything else is secondary.</li><li>Expect Extraordinary: Our mission is audacious, so we will only succeed by producing exceptional results. We continually push ourselves and each other to new heights and beyond our comfort zones.</li><li>Courageous Communication: Transparency and candor are imperative to realizing our potential as an organization and as individuals—even when uncomfortable. Many companies talk about these values. We live them. </li><li>Supportive community: We know that people do their best work and learn the most when they feel genuinely supported and cared for. It's also more fun that way. </li></ul>The target salary range for this position is: $200,000 - $230,000. Individual compensation for this role will depend on a variety of factors including qualifications, skills and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans. This role is also bonus eligible. <div><div></div><div>Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.</div><div></div><div>Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@getgarner.com. </div><div></div><div>Beware of job scam fraudsters! Our recruiters use getgarner.com email addresses exclusively. We do not post open roles on Indeed, conduct interviews via text, instant message, or Teams and we do not ask candidates to download software, purchase equipment through us, or to provide sensitive information such as bank account or social security numbers. If you have been contacted by someone claiming to be a Garner recruiter or hiring manager from a different domain about a job offer, please report it as potential job fraud to law enforcement here and to candidateprotection@getgarner.com</div></div></div></div>

Join a growing and successful fintech company! This Jobot Job is hosted by: Jonathan Santo Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $120,000 - $145,000 per year A bit about us: We are a team of companies that prides ourselves on being champions for compliance in the finance space. We are dedicated to supporting compliance professionals by integrating technology, consulting, and education to help clients manage the constantly evolving regulatory environment. Our network of firms serves over 7,000 clients, including many of the world's leading financial institutions. Clients across our network benefit from a full range of premier governance, risk, and compliance (GRC) services, including consulting, technology solutions, managed services, analytics, and outsourcing. Why join us? <ul><li> FULLY REMOTE</li><li> Competitive compensation </li><li> Comprehensive benefits package </li><li> Long term growth and stability</li></ul>Job Details Job Details: We are on the hunt for an experienced, dynamic, and passionate Data Engineering Manager to join our technology-driven team. This permanent, remote position offers the opportunity to work with a team of talented professionals in the technology industry. We are a fast-growing fintech company, and we need a data expert who can manage, guide, and grow our data team. In this role, you will be responsible for managing the data engineering team, developing data pipeline architectures, and implementing systems for tracking data quality and consistency. Responsibilities:<ul><li> Lead, mentor, and manage a team of data engineers, fostering a collaborative and innovative environment.</li><li> Design, develop, and maintain scalable data processing systems, ensuring data accuracy and security.</li><li> Implement and manage data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.</li><li> Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.</li><li> Work closely with all business units and engineering teams to develop strategy for long term data platform architecture.</li><li> Develop and implement data standards, ensuring data quality across the organization.</li><li> Build and maintain data pipelines, architectures and data sets using tools such as RabbitMQ, Elasticsearch, Scrapy, Beautiful Soup, and more.</li><li> Work with AWS, Azure, GCP, Kubernetes, Redis, Jenkins, Postgres, ETL, NoSQL, SQL, and other technologies.</li><li> Collaborate with data scientists and architects on several projects.</li></ul>Qualifications:<ul><li> Bachelor's degree in Computer Science, IT, or a related field.</li><li> 10+ years of experience in data engineering, data science, or a related field.</li><li> 3+ years of proven experience managing a team of data engineers or a similar team.</li><li> Experience with web scraping and utilizing frameworks such as Scrapy, Beautiful Soup. Selenium or similar frameworks </li><li> Strong experience with data architectures, data modeling, and data management.</li><li> Understanding of Elasticsearch indices, complex queries and search optimization. </li><li> Experience in the fintech industry is preferred but not required.</li><li> Familiarity with AWS, Azure, GCP, Kubernetes, Redis, Jenkins, Postgres, ETL, NoSQL, SQL.</li><li> Strong understanding of data pipeline and workflow management tools.</li><li> Excellent problem-solving and analytical skills.</li><li> Strong leadership and project management skills.</li><li> Excellent communication and interpersonal skills.</li><li> Ability to work in a fast-paced, dynamic environment.</li><li> Must be self-motivated and able to work independently, with a proven ability to manage multiple tasks and projects simultaneously.</li></ul> Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

We are seeking a visionary and dynamic Cloud Data Engineering Manager to spearhead the development of a cutting-edge data platform dedicated to risk and controls within our esteemed financial institution. This pioneering platform will be meticulously crafted on-premises, yet designed with a forward-thinking approach to be cloud-ready, allowing for seamless component-by-component migration to the cloud in future. Our goal is to establish a platform that is not only scalable, sustainable, and swift to market, secure and stable but also architecture must feature loosely coupled primary layers of compute, storage, and metadata to ensure optimal flexibility and performance. The ideal candidate will bring a wealth of experience in building sophisticated data warehouses, data lakes, and lakehouse systems, coupled with a proven track record in expanding state-of-the-art analytical and self-service data platforms. With an overarching hybrid cross-platform architecture, this individual will enable advanced data virtualization, federation, and visualization, ensuring our data infrastructure remains at the forefront of innovation. **Responsibilities:** + Leadership and Vision: Lead the design, development, and deployment of a state-of-the-art data platform for risk and controls, ensuring the architecture is scalable, sustainable, secure, and stable. + Hybrid Architecture Development: Strategically develop the platform on-premises with the capability to seamlessly port components to the cloud, ensuring a hybrid architecture that supports both environments. + Architectural Excellence: Ensure the platforms compute, storage, and meta layers are loosely coupled, enabling flexibility and modularity. + Data Systems Mastery: Oversee the construction and enhancement of data warehouses, data lakes, and lakehouse systems, pushing the boundaries of advanced analytical and self-service data platforms. + Innovative Solutions: Drive the enablement of data virtualization, federation, and visualization, providing stakeholders with innovative and actionable insights. + Strategic Interface: Interface with various stakeholders to define and align the strategic direction of the platform with business objectives, maintaining continuous awareness of business, technical, and infrastructure issues. + Data Mesh Product Development: Lead the development of a data mesh product for the controls data repository, ensuring seamless integration and scalability. + Expansion to Other Data Domains: Expand the scope to other data domains within Functions Technology, aiming to build a unified data ecosystem. This ecosystem will connect distributed authoritative data sources into a centralized, cohesive data repository. + Performance Management: Evaluate subordinate performance and make informed recommendations regarding pay increases, promotions, terminations, and other personnel actions, fostering a high-performance team environment. + Vendor Collaboration: Engage with vendors to assess and influence their technology roadmaps, ensuring alignment with our strategic goals and requirements. + Risk and Compliance: Exercise evaluative judgment to assess risk, ensuring compliance with applicable laws, regulations, and internal policies. Promote a culture of transparency and accountability within the team. + Cross-Functional Influence: Influence and negotiate with senior leaders across various functions, and communicate effectively with external parties as necessary. + Additional Duties: Perform other job-related duties and functions as assigned, demonstrating flexibility and adaptability in a dynamic environment. **Qualifications:** + Experience: 15+ years of relevant managerial experience, with at least 10 years in senior technology leadership roles within development/engineering and architecture capacities. + Technical Expertise: Extensive experience in building and managing data warehouses, lakes, and Lakehouse systems, with a deep understanding of hybrid cross-platform architectures. + Cloud and Security Proficiency: Proven experience with cloud security protocols, cloud transformation, and developing systems that span both on-premises and cloud platforms. + Analytical Excellence: Advanced knowledge and practical experience in data virtualization, federation, and visualization. + Industry Knowledge: Experience within financial services or similarly complex environments, with the ability to manage global teams effectively. + Strategic Insight: Advanced understanding of strategic direction within the relevant part of the business, with demonstrated ability to engage and influence stakeholders at all levels. + Leadership and Development: Proven leadership, management, and development skills, with a track record of building high-performance teams. + Technical Skills: Proficient data engineering, architecture, management, platform and business intelligence, and data applications. **Education:** Academic Credentials: Bachelors degree/University degree or equivalent experience, with advanced degrees and relevant certifications being highly desirable. ------------------------------------------------------ **Job Family Group:** Technology ------------------------------------------------------ **Job Family:** Data Architecture ------------------------------------------------------ **Time Type:** Full time ------------------------------------------------------ **Primary Location:** New York New York United States ------------------------------------------------------ **Primary Location Full Time Salary Range:** $170,000.00 - $300,000.00 In addition to salary, Citis offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ **Anticipated Posting Close Date:** Jun 21, 2024 ------------------------------------------------------ Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review **Accessibility at Citi (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)** . View the "EEO is the Law (https://www.dol.gov/sites/dolgov/files/ofccp/regs/compliance/posters/pdf/eeopost.pdf) " poster. View the EEO is the Law Supplement (https://www.dol.gov/sites/dolgov/files/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf) . View the EEO Policy Statement (http://citi.com/citi/diversity/assets/pdf/eeo_aa_policy.pdf) . View the Pay Transparency Posting (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf)Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

Data Engineering Manager Jobs in New York, NY

Data Engineering Manager
July 26, 2024

Data Engineering Manager Python
July 22, 2024

Remote Data Engineering Manager
July 11, 2024

Cloud Data Engineering Manager Director
June 30, 2024

Cloud Data Engineering Manager Director
June 28, 2024

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Data Engineering Manager Jobs in New York, NY

Data Engineering ManagerJuly 26, 2024

Data Engineering Manager PythonJuly 22, 2024

Remote Data Engineering ManagerJuly 11, 2024

Cloud Data Engineering Manager DirectorJune 30, 2024

Cloud Data Engineering Manager DirectorJune 28, 2024