Overview GovCIO is currently hiring for a Sr. Cloud Azure Data Engineer. This position is a fully remote position within the United States. Responsibilities The ideal candidate will have a proven track record in leading and delivering Azure Data Analytics solutions with Enterprise level organizations. We are seeking someone who can enable advance analytic capabilities preparing a data lake by ingesting raw data from authoritative sources using defined patterns and curating the same to publish data products, using cloud native tools. You will be highly proficient working with business stakeholders and directing project teams and will have direct experience of a range of BI Tools and Platforms. A proven track record designing and developing enterprise level data platforms. You will manage your own as well as others performance to deliver high quality, highly performant solutions to our customer. You will be responsible for the design of solutions which will include: <ul> <li> Solution design using Microsoft Azure services and related tools </li> <li> Design of enterprise data models and Data solutions </li> <li> Specification of ELT (Extract, load and transform) pipelines, data integration and data migration design, with low code no code tools </li> <li> Design & implementation of Master data management solutions </li> <li> Specification of Data Quality Management methodology and supporting technology tools </li> <li> Working within a project management/agile delivery methodology in a leading role as part of a wider team </li> <li> Deal with other stakeholders/end users in the software development lifecycle PMs, BAs, testing etc </li> </ul> Qualifications <ul> <li> Bachelor's degree in computer science, or other engineering or technical discipline is required plus?8 years of experience,4 years of additional relevant experience may be substituted for education </li> <li> At least 2 years of Azure experience required </li> <li> Direct experience of solution shaping and architecture development during planning & delivery including excellent documentation skills </li> <li> Strong evidence of Data modeling, mapping data flows and data design </li> <li> ELT experience </li> <li> Hands-on experience solutioning and implementing analytical capabilities using the Azure Data Analytics platform including, Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Storage, Azure SQL Data Warehouse/Synapse, Azure Data Lake </li> <li> Experience in the design of reporting & data visualization solutions such as Power BI or Tableau </li> <li> Experience with Master Data Management & Data Quality tools </li> <li> Experience designing and implementing machine learning solutions as part of high-volume data ingestion and transformation pipelines </li> <li> Microsoft Azure Data Platform certification ideal (DP-200, DP201) </li> </ul> Preferred Skills and Experience <ul> <li> Python </li> <li> Azure DataBricks </li> </ul> Clea rance Required : Ability to obtain and maintain a Suitability/Public Trust Company Overview GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens. But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer? We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets. Posted Pay Range The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an at-will position and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors. Posted Salary Range USD $120,000.00 - USD $140,000.00 /Yr. Submit a referral to this job (https://careers-govcio.icims.com/jobs/5174/senior-data-engineer-%28remote%29/job?mode=apply&apply=yes&in_iframe=1&hashed=-1834385473) Location US-Remote ID 2024-5174 Category Information Technology Position Type Full-Time

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 industrys 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 <ul> <li> 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. </li> <li> 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. </li> <li> 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. </li> <li> 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. </li> <li> 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. </li> <li> 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. </li> <li> 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. </li> <li> 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. </li> <li> 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. </li> <li> 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. </li> </ul> Your Qualifications <ul> <li> 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. </li> <li> 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. </li> <li> Leadership : Experience leading or mentoring data engineering teams, providing hands-on guidance for AI/ML-related projects and collaborating with cross-functional teams. </li> <li> Cloud and Big Data : Strong experience with cloud platforms and big data technologies , particularly in the context of AI/ML model development . </li> </ul> A few things we have to offer: <ul> <li> Competitive compensation </li> <li> Great Healthcare + Dental + Vision </li> <li> Flexible PTO </li> <li> Culture of support, encouraging Life-Work balance </li> <li> 401k match </li> <li> FSA and HSA options </li> <li> Employee Assistance Program </li> <li> Paid Parental Leave </li> <li> Representing a company with 4,000+ clients and a 99% retention rate </li> <li> Accelerated title and salary growth potential </li> <li> A fun and energetic work environment that makes you excited to go to work every day </li> </ul> 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.

<h3>Input Technology Solutions - Honolulu, HI, United States</h3>What you will do:<ul><li>Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing.</li><li>Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.</li><li>Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.</li><li>Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.</li><li>Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.</li><li>Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures.</li><li>Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes.</li><li>Maintain documentation for software applications, workflows, and processes.</li><li>Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement.</li></ul>Input Technology Solutions is seeking a Data Engineer to support a program in Honolulu, HI. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our Advana data infrastructure, pipelines, and systems. Proficiency in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks is crucial for ensuring efficient data ingest, processing, and analysis. You will develop and manage ETL processes and data pipelines across various government platforms, working with a wide range of data types.What you need to have:<ul><li>Bachelor's Degree and 0 to 2 years of experience; 6 to 8 years with no degree</li><li>Clearance: TS/SCI clearance</li><li>1+ years of Python experience including developing, running, packaging, and testing Python scripts</li><li>Experience with distributed version control systems (VCS)</li><li>Experience with the entire ETL/ELT pipeline, including data ingestion, data normalization, data preparation, and database design</li><li>Experience with conducting exploratory data analysis to communicate qualitative and quantitative findings to analysts</li><li>Experience processing and fusing structured and unstructured data</li><li>Experience with data engineering projects supporting data science and AI/ML workloads</li><li>Experience creating solutions within a collaborative, cross-functional team environment in team sprint cycles</li></ul>What we'd like you to have:<ul><li>Experience with using Palantir products for data manipulation, correlation, and visualization</li><li>Experience with AWS or other cloud computing services</li><li>Experience with Kafka and NiFi development</li><li>Experience with containerization tools, including Docker and Kubernetes</li><li>TS/SCI with Counterintelligence Polygraph</li></ul>Posted: Thursday, August 29, 2024Job # 6561
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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 DoingLead 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 QualificationsExperience : 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 compensationGreat Healthcare + Dental + VisionFlexible PTOCulture of support, encouraging Life-Work balanceFSA and HSA optionsEmployee Assistance ProgramRepresenting a company with 4,000+ clients and a 99% retention rateAccelerated title and salary growth potentialA fun and energetic work environment that makes you excited to go to work every dayCleo 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.
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About the job Data Engineer (Junior) TS/SCI POLY Top Secret Clearance Jobs is dedicated to helping those with the most exclusive security clearance find their next career opportunity and get interviews within 48 hours. In a world of possibilities, pursue one with endless opportunities. Imagine Next! When it comes to what you want in your career, if you can imagine it, you can do it at Parsons. Imagine a career working with intelligent, diverse people sharing a common quest. Imagine a workplace where you can be yourself. Where you can thrive. Where you can find your next, right now. We've got what you're looking for. Job DescriptionLocation: Fort Shafter, HI Clearance Needed: TS/SCI CI POLY Are you ready for a challenge that will keep you on the edge in the field of Intelligence? Are you a Data Engineer with experience in data integration? Can you identify, integrate, map, and monitor complex and disparate data flows? Imagine yourself working on top-level, critical mission sets alongside other seasoned professionals. Parsons is now hiring a junior-level Data Engineer with a passion for innovation and solving mission critical challenges to support our US Army Pacific (USARPAC) customer. Specific Responsibilities<ul><li>Conduct exploratory data analysis to communicate qualitative and quantitative findings to analysts </li><li>Implement ETL (Extract, Transform, Load) processes to move data from source systems to target storage systems</li><li>Develop run, package, and test Python scripts</li><li>Process and fuse structured and unstructured data </li><li>Identify solutions within a collaborative, cross-functional team environment in team sprint cycles</li></ul>Required Education/Experience<ul><li>Bachelor's degree with 2 years of relevant experience</li><li>1+ years of Python experience</li><li>Experience with distributed version control systems (VCS) </li><li>Experience with the entire ETL/ELT pipeline, including data ingestion, data normalization, data preparation, and database design </li><li>Experience with data engineering projects supporting data science and AI/ML workloads </li><li>TS/SCI CI POLY learance required</li></ul>Preferred Experience<ul><li>CI Poly highly desired</li><li>Familiarity with the INDOPACOM AOR</li><li>Exposure to Palantir</li><li>Experience with AWS and/or similar cloud computing services</li><li>Background supporting the intelligence community</li></ul>Minimum Clearance Required To StartTop Secret SCI w/Polygraph This position is part of our Federal Solutions team. Our Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our diverse, intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now. Salary Range$83,300.00 - $145,800.00 We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle! Parsons is an equal opportunity employer committed to diversity, equity, inclusion, and accessibility in the workplace. Diversity is ingrained in who we are, how we do business, and is one of our company's core values. Parsons equally employs representation at all job levels for minority, female, disabled, protected veteran and LGBTQ+. We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!

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 .

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Data Engineer Jobs in Honolulu, HI

Senior Data Engineer RemoteDecember 19, 2024

Senior Data EngineerDecember 19, 2024

Data EngineerDecember 10, 2024

Senior Data EngineerDecember 10, 2024

Data Engineer Junior Tssci PolyDecember 7, 2024

Data Engineer Product AnalyticsDecember 7, 2024

Data Engineer Junior Tssci PolyNovember 23, 2024