Join our Data Engineer Talent Community at Experis! Connect with a network of Data professionals and gain access to exclusive job opportunities, career advice, and industry insights. Stay informed about the latest openings and advancements in Data Engineering. Take the next step in your Data Engineering career journey with Experis. Below is an example of roles we receive from our client partners please reach out and apply to explore current and future opportunities! Job Summary: The Data Engineer will design, construct, install, and maintain large-scale processing systems that collect, manage, and convert raw data into usable information for data scientists and business analysts. Their primary goal is to make data accessible and optimized for performance to drive decision-making within the organization. The ideal candidate should be able to build and maintain efficient data pipelines and ensure seamless data integration from various sources. Key Responsibilities: Develop, construct, test, and maintain data architectures (databases, large-scale processing systems, and data lakes). Assemble and optimize data pipelines to gather and process raw data at scale for use in analytics and machine learning models. Work closely with data scientists and analysts to ensure the accuracy and relevance of the data for analysis. Design and implement data storage solutions, ensuring high data quality and accessibility. Manage the integration of structured and unstructured data from various sources into the organization's data systems. Optimize data systems and pipelines for improved performance and scalability. Implement data governance and ensure adherence to data privacy and security protocols. Collaborate with software engineers and architects to ensure seamless data flow between systems. Troubleshoot and resolve data-related issues and provide support to stakeholders on data usage. Basic Qualifications: Bachelors degree in Computer Science, Information Technology, Data Science, or a related field. 3+ years of experience as a data engineer or in a similar role. Proficiency in programming languages such as Python, Java, or Scala. Hands-on experience with databases (SQL, NoSQL), data warehousing, and ETL (Extract, Transform, Load) processes. Familiarity with big data tools such as Hadoop, Spark, or Kafka. Experience with cloud platforms like AWS, Azure, or Google Cloud for data storage and processing. Strong knowledge of data modeling, data integration, and data visualization tools. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Preferred Qualifications: Experience with building data pipelines, data pipeline infrastructure and related tools and environments used in analytics and data science (ex: Python, Unix) Experience in developing analytic workloads with AWS Services, S3, Simple Queue Service (SQS), Simple Notification Service (SNS), Lambda, EC2, ECR and Secrets Manager. Strong proficiency in Python, SQL, Linux/Unix shell scripting, GitHub Actions or Docker, Terraform or CloudFormation, and Snowflake. Experience automating data ingestion, processing, and reporting/monitoring. Experience with orchestration tools such as Prefect, DBT, or Airflow. Experience with other relevant tools used in data engineering (e.g., SQL, GIT, etc.) Ability to set up environments (Dev, QA, and Prod) using GitHub repo and GitHub rules/methodologies; how to maintain (via SQL coding and proper versioning) What's in it for you? Hybrid or remote work environment Weekly W2 payroll 401K + Benefits Tenured paid holidays Work for our Fortune 500 companies or start-ups! ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.

Our Cosmetic domain client is seeking a Data engineer to join their team. As a Sr. Data engineer you will be part of the Client supporting Team. The ideal candidate will have GCP, Python & Data Pipeline which will align successfully in the organization. Job Title: Data Engineer - GCP & Python Location: Remote Pay rate: $55-58 Job Description LONG TENURE and Valid LINKEDIN Needed. Must-haves Be able to translate data requirements into business processes and reverse engineer business processes into data requirements Experience manipulating and pulling data in GCP preferred (can be AWS or Azure) Experience scripting and coding in Python and SQL Advanced expert database handling and experience with data manipulation tools (SQL and variants) Proficient in MS suite applications (Excel, PowerPoint, Outlook, etc.) Plusses Knowledge of scientific data Relevant scientific industry experience Leadership skills needed to successfully promote ideas, coordinate work activities, and plan deliverables within a project team Day-to-Day We are looking for a Data Engineer to handle multiple activities in a team supporting diverse NA scientific data needs. This individual will perform data architecture, data development & design, manage data quality, reference and master data, and integrate data while ensuring effective data governance. On a day-to-day basis, you will engage in data modeling and data audit, design detailed data solutions, define rules, create hierarchies and affiliations, distribute reference and master data, as well as profile, analyze and asses data quality. You will be collaborating with Business and Data Quality teams in Paris to design data quality management procedures, clean and correct data quality defects and establish effective data governance practices. If this is a role that interests you and youd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you! About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells ManpowerGroup (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands Manpower, Experis, Talent Solutions, and Jefferson Wells creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent. ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.

Job Title: Data Engineer Location: Charlotte, NC Our client is seeking a senior data engineer to join a team of data engineers on the Marketing Intelligence Team. We have an exciting opportunity to develop and scale our home-grown data platform that powers Marketing Technology platforms. This professional will exhibit a fervent enthusiasm for data engineering and the implementation of data pipelines. They will possess a strategic mindset, collaborating with cross functional teams to successfully execute enterprise initiatives. Key Responsibilities: Deliver high quality, innovative data integration solutions in a fast-paced environment. Create real-time streaming data pipelines for multiple sources and data types. Develop, and support Marketing Operations data integrations spanning multiple AdTech partners and the clients lines of Business. Engage in seamless collaboration with Engineers, Data Architects, and Data Product Owners to execute project tasks efficiently. Develop and manage technical documentation to ensure clarity and accessibility. Participate in the on-call rotation to provide support during off-hours. Must have Requirements: 5+ years of experience in implementing data services using AWS, Azure, or Google Cloud Services Strong Experience with Messaging and event Streaming technologies like Kafka, AWS Kinesis, AWS SQS and SNS etc. Strong Experience with Cloud Based Data Warehousing & Analytics Platform like Snowflake, Databricks, Amazon Redshift etc. Proficient in data transformation and orchestration tools like dbt, Apache Airflow. Ability to design, implement & support data integration projects with minimal oversight. Experience in building and supporting serverless architecture. Excellent verbal and written communication skills Expertise in at least 1 programming language (python, Java, Scala etc.) Additional Experience Preferred: B.S. Computer Science or equivalent. Experience with RESTful API's, AWS Lambdas, Python Libraries etc. Familiarity with Marketing Technology platforms and processes are a plus Benefits & Compensation: We offer all of the regular perks (i.e. medical, dental, vision, 401(k) matching, etc.), plus a few unique ones including "unlimited" time off, annual bonuses, company stock, etc.) Dress code we don't have one. (Flip flops, shorts, jeans whatever.) Work for an established brand in a start-up environment COMPANY One of the nation's largest online lending marketplace. That means we connect customers with multiple lenders, so they find the best deals on loans, credit cards, savings accounts and insurance. Our goal is to help people save money, and we believe the best way to do that is by giving them a way to shop for loans and compare lenders, so they make their best financial choices. What else you should know: We're a publicly-traded company. We've welcomed several other companies into the LendingTree family to augment our efforts at helping borrowers make their most sensible financial choices. We've built the app and the dashboard to give consumers tools to manage and monitor their financial health. CULTURE We are a fast-paced company with an entrepreneurial outlook. We strive to be collaborative, ambitious, candid, and high-energy. We work hard and test our products often. We're collaborative, ambitious, candid, and high-energy. We believe in rewarding innovation, creativity and value the knack for just getting stuff done (we even have an award for employees called the GSD, "Get Stuff Done"). Come work with us! However, base pay offered may vary depending on job-related knowledge, skills, and experience. Incentive Compensation: Variable compensation, annual bonus Benefits: Medical, dental, vision insurance and 401(k) matching ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.

Data Engineer Manpower Group Inc. Jobs

Data Engineer
September 3, 2024

Sr Data Engineer
August 31, 2024

Sr Data Engineer
August 30, 2024

Quick filters

Top companies

Data Engineer Manpower Group Inc. Jobs

Data EngineerSeptember 3, 2024

Sr Data EngineerAugust 31, 2024

Sr Data EngineerAugust 30, 2024

Quick filters

Top companies

Data Engineer
September 3, 2024

Sr Data Engineer
August 31, 2024

Sr Data Engineer
August 30, 2024