<h3>Cleo Senior Data Engineer Charleston, West Virginia Apply Now</h3>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<ol><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></ol>Your Qualifications<ol><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></ol>A few things we have to offer:<ol><li>Competitive compensation</li><li>Great Healthcare + Dental + Vision</li><li>Flexible PTO</li><li>Culture of support, encouraging Life-Work balance</li><li>FSA and HSA options</li><li>Employee Assistance Program</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></ol>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.
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Job Description

Data Engineer Co-Op – Construction & Engineering Global Industry Unit

Oracle University Tech Recruiting

Bay Area (CA), Denver (CO), West Conshohocken (PA), Deerfield (IL), Remote

May-December 2025

The Program:

Our future success depends on hiring world-class, early in career talent who are looking to power next-generation services and solutions. We are hiring bachelor’s and master’s graduates with a diverse set of skills and experiences to work in and across multiple teams within the Construction & Engineering Global Industry Unit (CEGIU) organization. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact. Create the future with us!

The Team:

The Construction and Engineering Global Industry Unit (CEGIU) of Oracle is the world’s leading project and portfolio management software organization. Since 1983, we have provided the software foundation that enables all types of businesses to achieve excellence in managing their portfolios, programs, projects, and resources. The product development team in the CEGIU is focused on developing enterprise-level solutions for our customers in project-intensive industries worldwide. We offer a highly collaborative and dynamic environment, as well as a great mix of leadership and growth opportunities.

The Company:

Oracle is the world’s leading provider of business software. With a presence in over 175 countries, we are one of the biggest technology companies on the planet. We're using innovative emerging technologies to tackle real-world problems today. From advancing energy efficiency to reimagining online commerce, the work we do is not only redefining the world of business—it is helping advance governments, power nonprofits, and giving billions of people the tools, they need to outpace change. For more information about Oracle (NYSE:ORCL), visit us at oracle.com.

What You’ll Do:

Data Engineers work as part of a cross-functional development team to deliver the next releases of our enterprise project and portfolio management products. Your primary responsibility will be working on ETL processes using with PL\SQL or the latest in ETL technology tools to populate data warehouses or a data lake. We focus on performance, data integrity, and transformations. You will need strong SQL skills and should have some previous database experience and be able to build or edit procedures. Our Data Engineers work closely with our Data Science teams as well as other product teams to consolidate all of the organizations data into a collaborative and cohesive common platform.

What You’ll Bring: (Objective Minimum Qualifications)

To be considered for a Data Engineer position in the CEGIU organization, you must possess the Objective Minimum Qualifications (OMQs) below. Please ensure that your application clearly indicates that you meet these OMQs, either on your resume and/or by uploading additional documents such as a transcript.

Pursuing a Bachelor’s degree in computer science, software engineering, or an equivalent science/engineering field and will be returning to school for the 2025-2026 school year .

Reside in the United States and/or attend a university in the US.

Able to obtain work authorization in the US in 2025.

Proficiency in one of the following technology areas:

SQL, PL\SQL experience

Previous DB experience (Oracle preferred)

Database creation – tables, schema, packages, procedures, etc.

Other Preferred Qualifications:

Ability to quickly grasp and communicate technical, business, and design information

Strong troubleshooting skills

Effective at working in teams and collaborating with technical and non-technical team members

Experience working on an existing, large codebase

Passion and enthusiasm, if you care about what you do, you’ll do a better job at it

Minimum 3.0 GPA

What We’ll Give You:

Make a global impact: Trillions of dollars annually are spent on infrastructure and construction projects around the world, fueling economic development and growth in developed and developing countries. Our solutions are critical to the success of those projects and enable our customers to maximize the value of those investments.

Growth: Like many industries in the last few decades, the construction and engineering industry is embracing technology more and undergoing a digital transformation. It’s a dynamic technology market that has barely scratched the surface of what is possible. This creates many opportunities for employees to explore new products and innovate.

Immersive, self-driven learning experience: We feel the best way to learn is by doing, which is why we get you integrated with your team immediately upon joining. You’ll have plenty of support from teammates as you work on initial, small assignments. As you gain comfort/confidence, you’ll take on greater and greater challenges at a pace you’re comfortable with. You’ll have the flexibility to focus on certain areas of the application and technology to build your depth of knowledge or move around to expand your breadth of expertise; the choice is yours.

Relevant skills and experience: We use industry-leading technology in our products, so as you deliver value to our customers, you’ll gain valuable skills in return.

Life at Oracle:

An Oracle career can span industries, roles, countries and cultures, giving you the opportunity to tackle new roles and challenges, while blending work and life. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. To nurture the talent that makes this happen, we work hard to build a vibrant and inspiring workplace that celebrates diverse, hardworking teams where everyone can contribute. We take care of each other, and value giving back to the community. We have flexible work arrangements and offer benefits including generous paid parental leave and comprehensive premium medical insurance.

Getting to know you:

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veteran’s status or any other characteristic protected by law.

Career Level - IC0

Responsibilities

What You’ll Bring: (Objective Minimum Qualifications)

To be considered for a Data Engineer position in the CEGIU organization, you must possess the Objective Minimum Qualifications (OMQs) below. Please ensure that your application clearly indicates that you meet these OMQs, either on your resume and/or by uploading additional documents such as a transcript.

Pursuing a Bachelor’s degree in computer science, software engineering, or an equivalent science/engineering field and will be returning to school for the 2025-2026 school year .

Reside in the United States and/or attend a university in the US.

Able to obtain work authorization in the US in 2025.

Proficiency in one of the following technology areas:

SQL, PL\SQL experience

Previous DB experience (Oracle preferred)

Database creation – tables, schema, packages, procedures, etc.

Other Preferred Qualifications:

Ability to quickly grasp and communicate technical, business, and design information

Strong troubleshooting skills

Effective at working in teams and collaborating with technical and non-technical team members

Experience working on an existing, large codebase

Passion and enthusiasm, if you care about what you do, you’ll do a better job at it

Minimum 3.0 GPA

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range: from $18.99 to $53.00 per hour; from $39,500 to $110,240 per annum.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

Medical, dental, and vision insurance, including expert medical opinion

Short term disability and long term disability

Life insurance and AD&D

Supplemental life insurance (Employee/Spouse/Child)

Health care and dependent care Flexible Spending Accounts

Pre-tax commuter and parking benefits

401(k) Savings and Investment Plan with company match

Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

11 paid holidays

Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

Paid parental leave

Adoption assistance

Employee Stock Purchase Plan

Financial planning and group legal

Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

About Us

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.

When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.

We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one.

Disclaimer:

Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

* Which includes being a United States Affirmative Action Employer

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:

Solution design using Microsoft Azure services and related tools

Design of enterprise data models and Data solutions

Specification of ELT (Extract, load and transform) pipelines, data integration and data migration design, with low code no code tools

Design & implementation of Master data management solutions

Specification of Data Quality Management methodology and supporting technology tools

Working within a project management/agile delivery methodology in a leading role as part of a wider team

Deal with other stakeholders/end users in the software development lifecycle – PMs, BAs, testing etc

Qualifications

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

At least 2 years of Azure experience required

Direct experience of solution shaping and architecture development during planning & delivery including excellent documentation skills

Strong evidence of Data modeling, mapping data flows and data design

ELT experience

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

Experience in the design of reporting & data visualization solutions such as Power BI or Tableau

Experience with Master Data Management & Data Quality tools

Experience designing and implementing machine learning solutions as part of high-volume data ingestion and transformation pipelines

Microsoft Azure Data Platform certification ideal (DP-200, DP201)

Preferred Skills and Experience

Python

Azure DataBricks

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 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.

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Data Engineer Jobs in Charleston, WV

Senior Data EngineerDecember 10, 2024

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