Job OverviewJoin our dynamic team at qodeworld as an AWS Data Engineer. In this pivotal role, you will architect, develop, and sustain scalable data pipelines utilizing AWS technologies. Collaborate with technical analysts, client stakeholders, data scientists, and various team members to ensure the accuracy and integrity of data while optimizing storage solutions for both performance and cost-effectiveness. Your expertise with AWS native technologies and Databricks will be essential for efficient data transformations and processing.Key Responsibilities• Lead and support projects aimed at modernizing our data platform.• Design and implement robust, scalable data pipelines leveraging AWS native services.• Optimize ETL workflows to enhance data transformation efficiency.• Transition workflows from on-premise systems to AWS cloud, maintaining data quality and consistency.• Create automations and integrations to address data inconsistencies and quality concerns.• Conduct system testing and validation to ensure seamless integration and functionality.• Establish security and compliance measures within the cloud environment.• Validate data quality before and after migration, addressing issues related to completeness, consistency, and accuracy.• Collaborate with data architects and lead developers to document manual data movement and design automation strategies.Qualifications• A minimum of 10 years of experience in data engineering with a strong focus on AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift).• Proven ability to design and implement data pipelines and ETL processes.• Strong analytical skills and attention to detail for data quality assurance.• Experience in cloud migration strategies and automation of data workflows.• Excellent collaboration skills to work with cross-functional teams and stakeholders.

Job OverviewJoin our team as an AWS Data Engineer, where you will be instrumental in designing, developing, and maintaining robust data pipelines on the AWS platform. Collaborating with technical analysts, client stakeholders, and data scientists, you will ensure the highest standards of data quality and integrity while optimizing storage solutions for efficiency and cost-effectiveness. Your expertise in AWS native technologies and Databricks will play a key role in transforming and processing data at scale.Key Responsibilities• Drive the modernization of data platforms through effective project leadership and support.• Architect and build scalable data pipelines utilizing AWS native services.• Enhance ETL processes to guarantee efficient data transformation.• Oversee the migration of workflows from on-premises systems to the AWS cloud, maintaining data quality and consistency throughout the process.• Develop automations and integrations to address data quality issues and inconsistencies.• Conduct thorough system testing and validation to confirm successful integration and functionality.• Implement strong security and compliance measures in the cloud environment.• Ensure data integrity before and after migration through comprehensive validation checks addressing completeness, consistency, and accuracy of data sets.• Work closely with data architects and lead developers to document manual data workflows and devise automation strategies.

Capstone Integrated Solutions is hiring a Senior Data Engineer with a focus on AWS. This position is fully remote. Role overview This role centers on designing and building data pipelines using AWS tools and services. The Senior Data Engineer will work with teams across the company to make sure data remains accurate, reliable, and accessible. In addition, the position involves contributing to data architecture decisions and promoting engineering best practices. Collaboration and team approach The team values practical solutions and close collaboration. Colleagues from different functions work together to deliver data systems that help the company meet its goals. What you will do Design and build data pipelines with AWS services Partner with teams to ensure data quality and accessibility Influence data architecture and engineering standards

Mactores has established itself as a frontrunner in delivering innovative data platform solutions since 2008. We empower businesses to unlock their potential through automated, agile, and secure End-to-End Data Solutions. Collaborating closely with our clients, we strategize and guide them on their digital transformation journey, whether through assessments, migrations, or modernization efforts.Mactores is on the lookout for a Senior AWS Data Engineer to enhance our dynamic team. The ideal candidate will possess a profound expertise in PySpark and SQL, coupled with hands-on experience in managing data pipelines utilizing Amazon EMR or Amazon Glue. Proficiency in data modeling and end-user querying via Amazon Redshift or Snowflake, along with familiarity with Amazon Athena, Presto, and orchestration tools such as Airflow, is essential for this role.

About Egen:Egen is a rapidly expanding company driven by a data-centric philosophy. We unite top engineering talent with cutting-edge technology platforms such as Google Cloud and Salesforce, empowering our clients to leverage data and insights for impactful decision-making. Our commitment to fostering a workplace where exceptional individuals can thrive allows them to harness their engineering and technology skills to innovate how data and platforms can positively transform the world. We emphasize continual learning, relish tackling complex challenges, and are dedicated to driving rapid, effective outcomes. If this resonates with you, we invite you to join our team.Interested in discovering more about life at Egen? Explore these resources alongside the job description.-> Meet Egen -> Life at Egen-> Culture and Values at Egen-> Career Development at EgenNOTE: This is a 6-month contract.

Mactores stands as a leading provider of modern data platform solutions, empowering businesses since 2008 to enhance their value through automation. We specialize in comprehensive End-to-End Data Solutions that are agile, automated, and secure. Our collaborative approach allows us to partner with clients to strategize and accelerate their digital transformations through assessments, migrations, and modernizations.As an AWS Data Engineer, you will function as a full-stack data engineer dedicated to solving real-world business challenges. Collaborating closely with business leaders, analysts, and data scientists, you will gain a deep understanding of the business domain and work alongside fellow engineers to develop data products that facilitate improved decision-making. Your passion for data quality and your ability to create scalable solutions will be key in addressing broader business inquiries.If you thrive on problem-solving and possess a passion for innovation, we invite you to become a part of Team Mactores. Our workspace is designed to be casual and enjoyable, consciously steering clear of rigid corporate norms. We prioritize productivity and creativity, allowing you to be part of a world-class team while remaining true to yourself.

Cloudary specializes in strengthening cloud capabilities by connecting Principal-Vetted professionals with partner technical teams. Founded and led by seasoned cloud architects, the company focuses on delivering strong engineering solutions. Team members work as agile, embedded experts to help move essential projects forward quickly. What you will do Dashboard and report development: Build and design interactive dashboards in QuickSight. Set up automated pipelines for generating reports. Complex data modeling: Write and refine advanced SQL queries tailored for high-performance reporting needs. Infrastructure as Code: Use AWS CDK to implement, manage, and scale the reporting infrastructure. Data integration: Connect QuickSight with Amazon Aurora databases to enable efficient data retrieval and synchronization. Role overview This AWS Data Developer position is fully remote. The role centers on building reporting solutions, optimizing data models, and automating infrastructure for Cloudary's partners using AWS technologies.

Join our innovative team at Casino Cash Trac as an AWS Cloud Data Engineer. In this dynamic role, you will be responsible for designing, developing, and maintaining robust data pipelines and cloud architecture that support our business goals. You will collaborate with cross-functional teams to optimize our data processing infrastructure and ensure data integrity and security.

Tiger Analytics is a rapidly expanding advanced analytics consulting firm that specializes in delivering exceptional insights through Data Science, Machine Learning, and Artificial Intelligence. Our team possesses profound expertise, making us a trusted analytics partner for numerous Fortune 500 companies, empowering them to derive substantial business value from their data. Our leadership and contribution to the analytics field have been recognized by prominent market research firms such as Forrester and Gartner. We are on the lookout for outstanding talent to enhance our global analytics consulting team.As a Lead Data Engineer, you will play a pivotal role in architecting, constructing, and sustaining scalable data pipelines within the AWS cloud ecosystem. You will collaborate with diverse teams to facilitate data analytics, machine learning, and business intelligence projects. The ideal candidate will bring extensive experience with AWS services, Databricks, and Apache Airflow.

Role overview Shift4 Payments is looking for an AWS Cloud Data Engineer to help build and maintain cloud-based data processing systems. The position involves designing, developing, and supporting solutions that keep data flowing smoothly and analytics reliable. Locations Atlanta, Georgia Center Valley, Pennsylvania Las Vegas, Nevada Tampa, Florida What you will do Design and develop data processing systems on AWS Maintain and improve cloud-based analytics infrastructure Support consistent data flow for analytics and reporting

About Shift4 Payments Shift4 Payments, Inc. streamlines complex payment systems for businesses around the world. As a leader in commerce-enabling technology, Shift4 supports billions of transactions each year for hundreds of thousands of clients across many industries. Learn more at www.shift4.com. Role Overview Shift4 is growing quickly and is hiring a Senior AWS Cloud Data Engineer to join its in-house engineering team. This position plays a key part in shaping technology, architecture, and engineering delivery within the AWS Cloud Data Services group. What You Will Do Design, build, and maintain data infrastructure solutions on AWS Support data-driven projects across the organization Collaborate with project managers, business analysts, and software engineers Help ensure systems are available, reliable, and scalable Take ownership of assigned projects Who We’re Looking For Motivated, self-starting engineers who enjoy working on challenging projects Strong background in AWS cloud data engineering Comfort working with cross-functional teams Location This is an on-site role based at one of the following Shift4 offices: Tampa, FL; Atlanta, GA; Las Vegas, NV; or Center Valley, PA.

At CapTech, our Data Engineering consultants empower clients to create and sustain sophisticated data systems that consolidate information from various sources, enabling informed decision-making. We design and implement data pipelines, preparing data for utilization by data scientists, analysts, and other data systems. Passionate about problem-solving, we strive to deliver innovative solutions that meet our clients' needs. Our Cloud Data Engineers harness cloud infrastructure to provide immediate value while ensuring scalability for the future. We foster a collaborative environment that encourages knowledge-sharing among developers, architects, and clients.Key responsibilities for the Cloud Data Engineer position include:Creating data pipelines and data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).Consulting with clients on technology and methodologies for effectively ingesting and processing data.Applying engineering best practices to tackle complex data challenges.Working closely with end users, development teams, and business analysts to ensure data architecture maximizes organizational value.Explaining architectural distinctions between solution approaches along with their pros and cons.

At CapTech, our Data Engineering consultants empower clients to construct and sustain sophisticated data systems that integrate data from diverse sources to facilitate informed decision-making. We specialize in developing pipelines and preparing data for utilization by data scientists, analysts, and other data systems. Our passion lies in problem-solving and delivering innovative solutions tailored to our clients' needs. As Cloud Data Engineers, we leverage the cloud infrastructure of our clients to provide immediate value and ensure scalability for future growth. We thrive in a collaborative environment, offering numerous opportunities to learn from and share insights with fellow developers, architects, and clients.Your Impact and Responsibilities:Serve as a trusted advisor to customers, offering best practices, methodologies, and technologies for implementing robust data engineering solutions.Design, implement, and maintain modern data pipelines that deliver optimal solutions using appropriate cloud technologies.Collaborate with product owners and business subject matter experts (SMEs) to analyze customer requirements and deliver sustainable engineered solutions.Provide technical leadership and collaborate across teams to ensure alignment of technical solutions with customer needs.Stay abreast of the latest cloud technologies, patterns, and methodologies; effectively communicate results and ideas to key stakeholders.

As a Senior Data Engineer at CapTech Consulting, you will empower our clients to develop and sustain sophisticated data systems that integrate information from various sources, thereby facilitating informed decision-making for stakeholders. You will be responsible for constructing data pipelines and preparing data for utilization by data scientists, analysts, and other data systems. We thrive on tackling challenges and delivering innovative solutions to our clients. Our Cloud Data Engineers utilize clients' cloud infrastructures to provide immediate value while ensuring scalability for future endeavors. We foster a collaborative atmosphere rich in opportunities to learn from and share insights with fellow developers, architects, and clients.The Value You Will Deliver:Serve as a trusted advisor, guiding clients with best practices, methodologies, and technologies for effective data engineering solutions.Design, implement, and maintain cutting-edge data pipelines that leverage suitable cloud technologies for optimal outcomes.Collaborate with product owners and business subject matter experts to assess client requirements and deliver sustainable engineered solutions.Provide technical leadership and work collaboratively within teams to align overall technical solutions with client needs.Stay abreast of the latest cloud technologies, patterns, and methodologies; share insights by clearly articulating findings and ideas to key stakeholders.

Role Overview versant3 is hiring a Data Engineer II with a focus on AWS. This position is based in Orlando. The engineer will design, build, and support scalable data pipelines that keep data accurate and accessible for multiple business groups. What You Will Do Create and maintain data pipelines using AWS tools and services Work with teams across the company to understand data needs and collect requirements Apply data engineering best practices to support reliable and high-performing systems Help shape and improve data architecture for ongoing business growth Location Orlando

At CapTech, our Data Engineering consultants empower clients to design and sustain sophisticated data systems that amalgamate information from diverse sources, enabling informed decision-making. We specialize in constructing data pipelines and preparing data for utilization by data scientists, analysts, and other data systems. Our passion lies in tackling challenges and delivering innovative solutions for our clients. As Cloud Data Engineers, we harness the power of our clients' cloud infrastructure to provide immediate value and scalability for the future. We thrive in a collaborative environment, with abundant opportunities for learning and knowledge sharing among developers, architects, and our clients.As a Cloud Data Engineer, your specific responsibilities will include:Creating data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).Consulting with clients on technologies and methodologies to effectively utilize cloud resources for rapid data ingestion and processing.Employing engineering best practices to address complex data challenges.Working closely with end users, development teams, and business analysts to ensure that data architecture plans optimize the value of client data organization-wide.Explaining the architectural distinctions between various solution methods and their respective advantages and disadvantages.

Join CapTech as a Senior Cloud Data Engineer and help our clients architect and maintain cutting-edge data systems that integrate diverse data sources for impactful decision-making. You will create efficient data pipelines and prepare data for utilization by data scientists, analysts, and other stakeholders. Our team thrives on problem-solving and delivering innovative solutions tailored to client needs. As a Cloud Data Engineer, you will harness cloud infrastructure to provide immediate value while ensuring scalability for future demands. We foster a collaborative work atmosphere that encourages continuous learning and knowledge sharing among our developers, architects, and clients.Your Contributions:Serve as a trusted advisor to clients, guiding them through best practices, methodologies, and technologies for effective data engineering solutions.Design, build, and maintain state-of-the-art data pipelines utilizing the most suitable cloud technologies to deliver high-quality solutions.Collaborate with product owners and subject matter experts to analyze client requirements and develop sustainable, supportable engineering solutions.Provide technical leadership and work collaboratively within and across teams to ensure alignment of technical solutions with customer objectives.Stay abreast of the latest advancements in cloud technologies, methodologies, and patterns; effectively communicate insights and results to stakeholders.

At CapTech Consulting, our Data Engineering team empowers clients to create and sustain sophisticated data systems that integrate information from diverse sources, facilitating informed decision-making for stakeholders. Our role involves constructing data pipelines and preparing datasets for utilization by data scientists, analysts, and other data-driven systems. We thrive on tackling challenges and delivering innovative solutions for our clients. As Cloud Data Engineers, we harness the power of our clients' cloud infrastructure to provide immediate value and ensure scalability for future needs. We champion a collaborative atmosphere that fosters continuous learning and knowledge-sharing among developers, architects, and clients alike.Your Impact (Responsibilities)Serve as a trusted advisor to clients, sharing best practices, methodologies, and technologies for implementing effective data engineering solutions.Design, implement, and maintain cutting-edge data pipelines that utilize appropriate cloud technologies for optimal solutions.Collaborate with product owners and business subject matter experts to analyze customer requirements and deliver sustainable, engineered solutions.Provide technical leadership and promote collaboration across teams to align overall technical solutions with client needs.Stay abreast of the latest developments in cloud technologies, patterns, and methodologies; effectively communicate results and ideas to key stakeholders.

Position: Big Data Engineer / Architect with AWS ExpertiseLocation: Seattle, WA or Orlando, FLDuration: 6 months (extendable)Job Overview:We are seeking a talented Big Data Engineer/Architect with a strong background in AWS to assist in the development of our Data Management Cloud Platform. The ideal candidate will possess extensive experience in Java, AWS Cloud technologies, and Big Data/Data Management principles.Key Responsibilities:Collaborate with cross-functional teams to design and implement scalable data management solutions.Utilize your expertise in Java and AWS to enhance our cloud platform.Develop and automate CI/CD pipelines to streamline deployment processes.Work with Amazon EMR and related technologies to configure and optimize data processing pipelines.Technical Skills Required:8-10 years of experience in Core Java, with at least 3 years dedicated to Big Data technologies.Familiarity with Docker, Terraform, Jenkins, and Python is a plus.Deep understanding of streaming architectures and tools, including Kafka, with proficiency in Scala, Java, or Python.Experience in building high-availability configurations and conducting thorough testing.

At CapTech, our Data Engineering consultants empower clients to construct and sustain sophisticated data systems that unify information from various sources, enhancing decision-making capabilities. Our team excels in developing data pipelines and preparing datasets for utilization by data scientists, analysts, and integrated data systems. We thrive on tackling challenges and delivering innovative solutions tailored to our clients' needs. As Cloud Data Engineers, we leverage cloud infrastructure to provide immediate value while ensuring scalability for future demands. We foster a collaborative atmosphere with ample opportunities for knowledge sharing and professional growth alongside our peers, architects, and clients.Key responsibilities for the Cloud Data Engineer position include:Creating data pipelines and other data solutions utilizing Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).Providing expert advice to clients on technologies and methodologies for efficient data ingestion and processing in cloud environments.Employing engineering best practices to resolve intricate data challenges.Collaborating with end users, development teams, and business analysts to ensure optimal data architecture that maximizes client data value across their organization.Explaining architectural distinctions between various solution strategies, highlighting their respective advantages and disadvantages.