<h3>Job Description</h3><div>Job Description<div><div><p>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.</p></div><p>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.</p><p>This is a fully remote position. </p>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><strong>Our Tools:</strong><p>Python, Argo, Snowflake, AWS</p>Ideal 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><p><em>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. </em></p><div><div></div><div><em>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.</em></div><div></div><div><em>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 <span class="long-word">talent@getgarner.com.</span> </em></div><div></div><div><em>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 <span class="long-word">candidateprotection@getgarner.com</span></em></div></div></div></div>

<p>Summary: Facebook is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Critical Facility Engineer will be a part of the Facility Operations team responsible for operating and maintaining critical systems in our data centers. The candidate will need to be experienced in diverse industries such as electrical generation, electrical distribution, cooling technologies and fire protection systems. Required Skills: Critical Facility Engineer Responsibilities: Perform hands-on operations and maintenance which includes all physical and administrative operations tasks, service, and maintenance in accordance with site processes and procedures to ensure the highest levels of uptime, efficiency, and safety without disruption to the business Complete work order requests accurately and on time Maintain a positive and professional working relationship with cross functional teams Respond quickly, using Facebook procedures or emergency operating procedures to data center facility emergencies Regularly inspect equipment, buildings, safety routes and grounds to check or identify any abnormal or unsafe conditions or faults Troubleshoot, evaluate and recommend system upgrades Order parts and supplies for maintenance and repairs Work with vendors and contractors to ensure work is in accordance with the agreed Facebook processes, procedures, and standards Escalate issues to facility management appropriately and timely Assist in scheduling and supervising vendors/subcontractors during equipment/systems maintenance and service Provides technical expertise and assistance as required Provides recommendation of improvements to the operations and maintenance program on an on-going basis Ability to work night shift work and set shift which may include nights and holidays Minimum Qualifications: Minimum Qualifications: High school diploma or equivalent (i.e. GED) 5+ years experience in electrical, HVAC, mechanical, controls, or other technical maintenance field Associate's degree in engineering plus 3+ years experience or Bachelor's degree in related field plus 2+ years experience in electrical, HVAC, mechanical, or controls will be considered in lieu of 5+ years experience Knowledge of Microsoft Office Suite - Word, Excel and Outlook Experience interpreting blueprints/CAD drawings Regularly walk job site areas of flat and uneven terrain Work at varying heights and from ladders Use hands and fingers Reach/push/pull with hands/arms/shoulders Stoop, kneel, crouch and crawl May lift and/or otherwise move 45 pounds or more Preferred Qualifications: Preferred Qualifications: 3+ years experience in a data center or other Critical Environment (pharma, clean room, medical, power production, etc.) Trade Certification or state license in Electrical or Mechanical (HVAC) Professional affiliations (7x24 Exchange, IFMA, Data Center Pulse, etc.) Knowledge of CMMS systems Knowledge of critical facilities operations Knowledge of mechanical, electrical, and life safety monitoring and control systems typically used in critical environments Industry: Internet Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .</p>

<strong>Overview</strong><br><br>Grata is a leading data platform at the forefront of private market dealmaking. We are dedicated to modernizing how businesses engage and transact in the private sector, using cutting-edge data and machine learning technologies to drive success. At Grata, innovation, collaboration, and the relentless pursuit of excellence are the pillars that sustain our growth and market leadership.<br><br>As the Data Engineering Manager, you will manage all aspects of our data organization, including data infrastructure, data pipelines, and machine learning infrastructure. You will ensure the highest standards of data quality and performance, developing robust technical roadmaps that align with Grata's strategic objectives. This role requires a dynamic leader who can foster a high-performing team environment, set clear goals, and drive the technical and strategic vision forward.<br><br><strong>About the Role:</strong><br><br>You will...<br><ul><li>Oversee the development and maintenance of scalable data and machine learning infrastructure utilizing tools such as Spark, Airflow, AWS, and Databricks.</li><li>Lead and expand a team of data engineers, data scientists and machine learning engineers, ensuring strong career progression and skill development.</li><li>Collaborate closely with technical leads to develop long-term visions and innovative strategies for data utilization.</li><li>Work in partnership with product, data operations, and technical leadership to align engineering activities with broader company goals.</li><li>Drive initiatives aimed at maintaining high-quality data and efficient data operations that support machine learning training and inference processes.</li></ul><br><strong>About You:</strong><br><ul><li>Minimum of 2+ years in engineering management, specifically in data-focused roles.</li><li>Proven track record of building and leading high-performing engineering teams.</li><li>Experience managing a data warehouse, workload scheduling and orchestration framework</li><li>Experienced in setting clear objectives and developing strategic roadmaps that align with business goals.</li><li>Experience with defining and setting up effective monitoring for data and platform services and solutions</li><li>Strong knowledge of data architecture, data modeling, statistics, data science and data infrastructure ecosystems</li><li>Strong foundation in data infrastructure tooling (e.g., Spark, Airflow, AWS, Databricks) and machine learning infrastructure.</li><li>Focused on building, managing and growing teams, but remain close to the technology.</li><li>Excellent communication and collaboration skills, with a proven ability to work effectively with cross-functional teams.</li><li>Located in New York or willing to relocate, strong preference for an office-centric culture with a flexible work environment</li><li>Passionate about data quality and infrastructure performance, with a focus on delivering high-quality outcomes.</li><li>Enthusiasm, energy, and optimism about the future of artificial intelligence and the desire to build incredible AI products</li></ul><br><strong>Perks & Benefits at Grata:</strong><br><ul><li>Unlimited PTO policy </li><li>Flexible Work Location policy: all employees are given a bank of time (up to 14 weeks!) of working remotely </li><li>Medical, dental, vision plans: we offer plans with 100% coverage of premiums for employees</li><li>12 weeks of parental leave</li><li>401k </li><li>Stock options for all of our employees</li><li>Equity Commuter benefits</li><li>Company-sponsored lunch through Grubhub on a weekly basis</li><li>Dog-friendly office</li></ul><br><strong>About Grata</strong>:<br><br>Grata is the first search engine for company discovery, providing a single source of truth to find small to middle market private companies. We are developing cutting-edge search technology leveraging NLP and ML to automate the B2B research process on millions of small and medium businesses in the U.S. We've recently experienced significant growth and raised capital from top investors who built Google and transformed the finance industry.<br><br>When we find the right person, we strive to put our best foot forward with an offer we hope you find compelling. Actual compensation packages at the time of offers are based on a wide array of factors unique to each candidate, including, but not limited to: what you'd like to be paid, the skills/experience you bring and any role-dependent factors such as software expertise, what similar jobs pay in the NYC area, and our commitment to equal pay for equal work among those you'll be working with. The compensation for this role is targeted at $180,000-$210,000, plus a significant equity package. Transparency is a core value at Grata, and we welcome direct conversations with each candidate about compensation in all of our initial calls.<br><br>Grata is committed to building an inclusive, equitable, and diverse organization. We embrace equal opportunity for all applicants and seek to foster a culture of belonging for our employees. We recognize and appreciate that the more inclusive we are, the better we will function as a team. Grata welcomes qualified applicants of any race, color, ancestry, religion, sex, national origin, gender identity, gender expression, age, marital or family status, disability, military veteran status, and any other status or background.

Data Engineering Manager Jobs in New York, NY

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November 15, 2024

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Data Engineering Manager Python
November 7, 2024

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Data Engineering Manager
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Data Engineering Manager Jobs in New York, NY

Data Engineering Manager PythonNovember 15, 2024

Data Engineering Manager AnalyticsNovember 15, 2024

Data Engineering Manager PythonNovember 7, 2024

Data Engineering Manager PythonNovember 2, 2024

Data Engineering Manager AnalyticsOctober 29, 2024

Data Engineering ManagerOctober 25, 2024