<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>

Senior Data Engineer

Remote - US

Cleo is a cloud integration technology company focused on business outcomes. Every day, we ensure that each one of our 4,000+ customers' potential is realized by delivering solutions that make it easy to discover and create value through the connections and integration of enterprise applications supporting critical workflows. By providing the industry’s most complete and flexible integration offerings, we are helping our clients build trusted relationships across their partner ecosystems today, while providing all the control and visibility they need to advance their business tomorrow. In a nutshell, Cleo is a rapidly growing category leader in ecosystem integration software and we have experienced tremendous growth over recent years.

The Senior Data Engineer is a hands-on leader responsible for designing, developing, and maintaining data pipelines and infrastructure at Cleo. This role involves setting the strategy for data systems, collaborating closely with cross-functional teams, and ensuring the scalability, reliability, and efficiency of data solutions. The Senior Data Engineer will focus on data infrastructure needs for AI/ML models, overseeing the creation of a data warehouse and associated systems from scratch, and ensuring data is properly transformed and optimized for machine learning and artificial intelligence applications. This role is integral to building the processes that support data transformation, data structures, metadata management, data quality controls, and workload management.

What You Will Be Doing

Lead the Design and Build of Data Pipelines: Develop and maintain scalable, reliable, and efficient data pipelines that collect, process, and store large datasets. Ensure these systems are optimized for AI/ML model training and inference.

Set Data Infrastructure Strategy: Define and execute the strategy for building and maintaining data warehouses, data lakes, and other data storage systems that support both operational and analytical needs. Ensure systems are optimized for AI/ML model workflows.

Hands-On Data Transformation for AI/ML Models: Design and implement data transformation processes, including feature engineering, data preprocessing, and data augmentation, to ensure data is in the right format for machine learning models.

Build Data Structures and Metadata Management: Build and manage the data structures, metadata repositories, and related systems that support data transformation, ensuring the organization has well-documented, accurate, and accessible data for AI/ML workflows.

Data Quality Controls and Risk Management: Establish and implement data quality controls to ensure that data used in machine learning models is clean, consistent, and accurate. Identify and raise risks at all stages of the data engineering process, including data ingestion, transformation, and storage.

Collaborate with Cross-Functional Teams: Work closely with data scientists, ML engineers, product managers, and business leaders to understand data requirements and ensure data systems meet the needs of AI/ML initiatives. Provide hands-on leadership to guide teams in transforming data for model training.

ETL Development and Optimization for AI/ML: Lead the development and optimization of ETL (Extract, Transform, Load) processes for ML/AI data. Focus on efficiently moving and transforming large datasets, ensuring data quality and readiness for model training and deployment.

Optimize Data for Model Training and Inference: Ensure data pipelines are designed to support the needs of AI/ML model training, such as handling large volumes of data, managing data quality, and enabling fast model iteration.

Data Governance for AI/ML: Define and implement data governance practices to ensure the secure, compliant, and ethical use of data in AI/ML workflows.

Stay Current: Keep up with emerging trends in data engineering, particularly those related to AI/ML model development, and implement best practices to optimize data systems for machine learning.

Your Qualifications

Experience: 5-7+ years of experience in data engineering, with a focus on transforming data for AI/ML models and optimizing data systems to support machine learning and artificial intelligence workflows.

Hands-On Expertise: Proven experience in hands-on data transformation and building data pipelines for AI/ML, including data preprocessing, feature engineering, and model-specific data handling.

Leadership: Experience leading or mentoring data engineering teams, providing hands-on guidance for AI/ML-related projects and collaborating with cross-functional teams.

Cloud and Big Data: Strong experience with cloud platforms and big data technologies, particularly in the context of AI/ML model development.

A few things we have to offer:

Competitive compensation

Great Healthcare + Dental + Vision

Flexible PTO

Culture of support, encouraging Life-Work balance

401k match

FSA and HSA options

Employee Assistance Program

Paid Parental Leave

Representing a company with 4,000+ clients and a 99% retention rate

Accelerated title and salary growth potential

A fun and energetic work environment that makes you excited to go to work every day

Cleo Communications, LLC is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status or any other characteristic protected by law.

Overview

Position Overview:

In this role you will bean integral partofthe Data Engineering teamresponsible forbuildinghighquality,robust and scalable data platform environmentsand solutions to supportour data lake and data warehouse environments. Our team collaboratesclosely withotherengineering,analyticsand data scienceteamstoidentifyand implementoptimaldatasolutionsfortheWellframeplatform.

About Wellframe:

With Wellframe, we reimagine healthcare relationships througha new approachthat uses high-tech to deliver the high-touch support people need, when and where they need it. We call it Digital Health Management. Our comprehensive suite of Digital Health Management solutions for care management, advocacy, and navigation help organizations forge more meaningful connections with members, across their healthcare journey.Wellframewas founded to counter a pressing industry problem: the healthcare system has struggled to find ways to support people in between care settings, at scale. We believe health plans are in the best position to advocate for their members as they navigate their health andcare, butknow that technology alonecan’thelp us achieve this ambition.That’swhy our team of physicians, clinicians, public health experts, data scientists, engineers, and healthcare industry experts ensure our patented technology works in service of the person-to-person connections that make healthcare work best. The complete suite of solutions fromHealthEdgedelivers a digital foundation for payers specifically designed to fuel a digital transformation, reduce costs, and improve both clinical outcomes and the member experience.

Your Impact:

Translate technical stories into software solutions

Create data processing pipelines and solutions toacquireandtransform data from various sources(structured,nonstructured)

Ensure the reliability and efficiency of our data platform, object storage, and data warehouse environments.

Create and refine backlog to translate business requirements into data solutions

Create andvalidatetechnical designs with other engineers

Communicate technical decisions effectively with relevant stakeholders

Maintain a high standard for code quality for yourself and others on the team, including automated testing

Take technical ownership in areas of a project where applicable, contributing to technical design, development, testing and on time delivery with high quality

Debug and fix challenging production issuesto ensure data and platform availability

Participate in on-call rotation to ensure exemplary uptime and reliability

Work with customer support to triage, diagnose, and resolve bugs

Identifyand lead process and technology improvements

Identifyprocess,toolingand feature improvements to improve product quality and engineering productivity

Contribute to the team’s roadmap for implementing technical and process improvements

What You Bring:

BS or MS in Computer Science, ComputerEngineeringor closely related field

At least3 years of experience with cloud-based environments like GCP, AWS, Azure

At least3 years of experience writing object-oriented code with languages like Python

Experience with pipeline orchestration tools like Apache Airflow,Airbyte,Dagster, or AWS Glue.

Experience with cloud data warehouses likeBigQuery, Snowflake, or Redshift.

Experience with relational/transactional databases such as PostgreSQL, MongoDB, or MySQL.

Experience with event streaming systems like Kafka, Pub-Sub, or ActiveMQis preferred

Understanding of large data processing systems likeDataBricks, Sparkis preferred

Strong communicationand collaboration skills, comfortable explaining technical problemstoanon-technicalaudience.

Excellent analytical abilities and problem-solving skills, with a strongcapacityto translate business requirements into effective data solutions.

Possesses a keen eye foridentifyingdata patterns and a passion for continuous improvement, combined with a love for data and a flair for creativity!

Demonstrates a keen interest in understanding the products that the data supports, ensuring alignment between data insights and business objectives

Accepts feedback graciously

Strives not to commit the same mistake twice

Staysup to dateon industry best practices andnew technologies

Promotes quality through automated testing and other measures

Strong senseof ownership

Thrives on diverse technical challenges

Passionate aboutleveragingtheir technical skills to help improve patient care

Works effectively in a fast-paced, agile startup environment

HealthEdge commits to building an environment and culture that supports the diverse representation of our teams. We aspire to have an inclusive workplace. We aspire to be a place where all employees have the opportunity to belong, make an impact and deliver excellent software and services to our customers.

Geographic Responsibility: WhileHealthEdgeislocatedinBurlington, MA you may live anywhere in the US

Type of Employment: Full-time, permanent

Work Environment: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job:

The employeeis occasionally required tomove around the office. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.

Work across multiple time zones in a hybrid or remote work environment.

Long periodsof time sitting and/or standing in front of a computer using video technology.

May require travel dependent on company needs.

The above statements are intended to describe the general nature and level of the job being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. HealthEdge reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position in compliance with the Americans with Disabilities Act of 1990. Candidates may be required to go through a pre-employment criminal background check.

HealthEdge is an equal opportunity employer. We are committed to workforce diversity and actively encourage all qualified persons to seek employment with us, including, but not limited to, racial and ethnic minorities, women, veterans and persons with disabilities.

#LI-Remote

Job Locations US-Remote

ID 2024-4955

Category Engineering

Position Type Full-Time

HealthEdge provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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