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data engineer (teradata /etl informatica/snowflake) Jobs in Atlanta

data engineer - remote, usa Jobs in Atlanta

data engineer - remote, usa

etl developer

Capgemini

<div><div><div><p>Atlanta</p><div>
Data Engineer (Teradata /ETL informatica/Snowflake)</div><p>
</p></div></div><p></p><div><div><div><div><div><p>
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p><div><div><div><div>
Job Description</div></div><div><p>
Key Responsibilities</p><ul><li>Develop complex Teradata SQL and automate loads using TPT, FastLoad, MultiLoad, FastExport/Export, and BTEQ.</li><li>Optimize performance: explain plans, stats strategy, PI/partitioning, and workload management.</li><li>Build and support Informatica mappings, workflows, and performance-tuned ETL pipelines.</li><li>Design and maintain scalable data pipelines across Teradata, Snowflake, and cloud storage.</li><li>Develop Python scripts for automation, data processing, and quality validations.</li><li>Build Snowflake objects (tables, views, tasks) and support migration from Teradata to Snowflake.</li><li>Implement data quality checks, metadata-driven frameworks, and CI/CD-driven deployments.</li></ul><p>
Required Skills</p><ul><li>6+ years Strong hands-on expertise with Teradata utilities (TPT, FastLoad, MultiLoad, FastExport).</li><li>Advanced SQL and BTEQ scripting experience .</li><li>Proven experience with Informatica PowerCenter.</li><li>Data engineering experience with Snowflake.</li><li>Unix/Linux scripting, Git, and CI/CD knowledge.</li></ul>
<br>
Preferred Qualifications<ul><li>Experience with migration from Teradata to Snowflake is plus.</li><li>Exposure to AI , CO-pilot experience is plus.</li><li>Experience with cloud platforms such as AWS, Azure, or GCP.</li></ul></div></div></div><p>
The base compensation range for this role in the posted location is:80,420 - 106,050</p><p>
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p><p>
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p><p>
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p><p>
It is not typical for candidates to be hired at or near the top of the posted compensation range.</p><p>
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><p>
</p><p>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
</p><ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li></ul><ul><li>
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li><li>
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li><li>
Life and disability insurance</li><li>
Employee assistance programs</li><li>
Other benefits as provided by local policy and eligibility</li></ul><p>
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><p>
</p><p>Disclaimers</p><p>
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p><p>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p><p>
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p><p></p><p><br>
</p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
423625-en_US</div></div><div><div>
Posted on</div><div>
24 Feb 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Atlanta</div></div><div><div>
Business unit</div><div>
FS</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

Data Engineer (Teradata /ETL informatica/Snowflake)

NTT DATA

<b>Company Overview:</b> Req ID: 362551 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. NTT DATA's Client is currently seeking an Sr Data Analyst to join our team in Atlanta, Georgia (US-GA), United States (US).
<br><br>
<b>Job Description:</b> Job Title Senior Data Engineer - Payments & Banking Location: Atlanta, GA (Hybrid - 3 days/week mandatory in office) Day to Day Job Duties: Design, develop, and maintain scalable batch and real-time data pipelines supporting payment processing, card transactions, billing, and banking systems Build and automate ETL/ELT workflows for ingestion, transformation, aggregation, and loading of high-volume financial data Develop and support Kafka integrations, including topics, producers, consumers, and streaming applications for near real-time transaction processing Develop and optimize cloud-native data solutions in Azure, leveraging services such as Azure Data Factory (ADF), Azure Synapse, Azure Data Lake, and Event Hubs Build and manage enterprise data platforms using Snowflake, including data modeling, performance tuning, clustering, and secure data sharing Develop ETL/ELT workflows using Python and SQL for ingestion, transformation, validation, and aggregation of high-volume financial data Translate payment and banking data requirements into functional specifications, mapping documents, and technical designs Ensure data accuracy, integrity, security, and compliance (including PCI-DSS and financial regulatory requirements) Optimize SQL queries and tune RDBMS performance for high-throughput transactional environments Design and maintain enterprise microservices (security, logging, APIs) using Java/Spring Boot where applicable Monitor data pipeline performance and implement optimization and corrective actions Collaborate with product owners, architects, QA, and compliance teams in an Agile environment Troubleshoot and resolve complex production issues across data platforms and transaction systems Work on-site 3 days per week to support collaboration, architecture discussions, and agile ceremonies Basic Qualifications: (Required skills and minimum experience) Bachelor's degree in Computer Science, Engineering, or related technical field Minimum 5+ years of experience in Data Engineering or Data Warehouse environments Minimum 5+ years of Strong experience designing, building, and maintaining batch and real-time data pipelines 5+ years of Proven experience in the payments, banking, or financial services industry, supporting transaction-based systems 5+ years of Strong expertise in SQL, PL/SQL, and query optimization Hands-on experience with any ETL/ELT tool Minimum 5+ years of Experience working with relational databases such as Oracle, DB2, Teradata, SQL Server 5+ years ofExperience with Kafka or streaming platforms Minimum 5+ years of Strong programming skills in Java and/or Python Minimum 5+ years of Experience developing API integrations with cloud or enterprise systems Minimum 5+ years of Experience with Unix Shell scripting Understanding of data modeling concepts and ETL frameworks Minimum 5+ years of Experience working in Agile environments Travel Minimal travel expected Nice to Have (But Not a Must) Experience supporting PCI-DSS compliant environments Experience handling large structured and unstructured datasets Experience with CI/CD and DevOps practices Prior experience working on high-volume payment gateways or banking transaction platforms What We're Looking For A strong Data Engineer who understands transactional data systems and financial data flows Someone comfortable working in regulated, security-sensitive banking environments A problem solver who can optimize high-volume systems and ensure data integrity A collaborative team player who can clearly communicate complex technical concepts
<br><br>
<b>About NTT DATA:</b><br>
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
<br><br>
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Sr. Data Analyst

<div><b>Company Overview</b><br>
<br>
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com.<br>
<br>
<b>Job Summary</b><br>
<br>
Seeking a highly skilled professional to design and deliver scalable data lakehouse and data warehouse solutions on Microsoft Azure. The ideal candidate will have strong hands-on expertise in Azure Databricks, Azure Synapse, and Azure Data Factory, along with experience leading enterprise cloud data migration and modernization initiatives.<br>
<br>
<b>Key Responsibilities</b><br>
<ul><li>
Architect and implement Azure-based Data Lakehouse solutions</li>
<li>Develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF)</li>
<li>Lead on-prem to Azure cloud data migrations</li>
<li>Build batch and real-time ingestion pipelines (Event Hub preferred)</li>
<li>Mentor team members and collaborate with business stakeholders</li></ul>
<b>Required Skills</b><br>
<ul><li>
10 years of Data Engineering experience</li>
<li>Strong hands-on experience with Azure Synapse Analytics, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS)</li>
<li>Proficiency in PySpark and SQL</li>
<li>Experience with data modeling and performance tuning</li>
<li>CI/CD experience in Azure DevOps</li>
<li>Strong communication and leadership skills</li>
<li>Must be onsite at the client in Atlanta, GA 2-3 days per week</li></ul>
<b>Good to Have</b><br>
<ul><li>
Experience with Azure Databricks (PySpark, Spark SQL)</li>
<li>Implement CI/CD pipelines using Azure DevOps</li>
<li>Ensure data governance, security (RBAC, Azure AD), and monitoring</li>
<li>Design dimensional data models (Star/Snowflake schemas)</li></ul>
<b>Preferred Qualifications</b><br>
<ul><li>
Experience with real-time streaming (Event Hub, Kafka, or similar)</li>
<li>Power BI or other BI platform experience</li>
<li>Azure or Databricks certifications</li>
<li>Experience in Financial Services</li></ul>
<b>Soft Skills</b><br>
<ul><li>
Communication - directly working with business</li>
<li>Not giving in to everything business asks and be able to stand their ground</li></ul><br>
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.</div>

Sr. Azure Data Engineer

Southwire

<div><p>A leader in technology and innovation, Southwire Company, LLC is one of North America&rsquo;s largest wire and cable producers. Southwire and its subsidiaries manufacture building wire and cable, utility products, metal-clad cable, portable and electronic cord products, OEM wire products and engineered products. In addition, Southwire supplies assembled products, contractor equipment, electrical components, hand tools and jobsite power and lighting solutions. The company also offers digital solutions including contractor planning and utility grid resiliency as well as field services including cable testing, rejuvenation and replacement to support our customers as a value-add partner. We are proud to offer competitive compensation, employee benefits, tuition reimbursement and unlimited growth opportunities. Our more than seven decades of progressive growth can be attributed to our determination to developing innovative systems and solutions, exercising environmental stewardship and enhancing the well-being of the communities in which we work and live. How will you power what&rsquo;s possible?
</p><div><div><div><h2 class="jobSectionHeader"><b>Job Summary</b></h2></div><div><p>
Plays a critical role in the managing, optimizing, and enabling the infrastructure that supports data collection, storage, and processing. Ensures data quality availability across systems, in alignment with data security, privacy regulations, and data governance policies. Deep expertise in data engineering principles, advanced proficiency in programming technologies, optimization, and mentoring of junior engineers.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2></div><p></p><div><ul><li>
Assesses data infrastructure and processes to identify opportunities for optimization and scalability.</li><li>
Designs systems to support data ingestion, transformation, and storage, ensuring reliability and performance.</li><li>
Develops more complex data pipelines and ETL (Extract, Transform, Load) workflows to meet organizational needs.</li><li>
Implements processes to enhance data quality, governance, and security across systems.</li><li>
Confers with cross-functional teams to align data strategies with business objectives and resolve data-related challenges.</li><li>
Integrates diverse data sources into cohesive systems for improved accessibility and analytics.</li><li>
Improves existing data engineering practices by adopting innovative tools and methodologies.</li><li>
Helps establish and implement standards and best practices for data engineering within the organization.</li><li>
Coaches junior team members by providing technical guidance and mentorship to enhance their data engineering skills.</li><li>
Performs other duties as assigned</li><li>
Complies with all policies and standards</li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>
Required Education &amp; Experience</b></h2></div><div><p>
Minimum Education Level: Bachelor's Degree</p><p>
Years of Experience: 5-7 Years</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Preferred Education &amp; Experience</b></h2></div><div><p>
Minimum Education Level: Master's degree</p><p>
Licenses/Certificates: Relevant certifications such as Microsoft Certified: Azure Data Engineer, Google Professional Data Engineer, or AWS Certified Data Analytics</p><p>
Years of Experience: 8-11 Years</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Spans of Control</b></h2></div><div><p>
Does this role Manage Southwire Team Members: No
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Travel</b></h2></div><div><p>
Travel: None</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Physical Requirements</b></h2></div><div><p>
Moving: 5% Standing: 5% Sitting: 90%
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Working Conditions</b></h2></div><div><p>
Office</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Equipment</b></h2></div><div><p>
Computer/Keyboard</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Competencies</b></h2></div><div><div>
Action Oriented</div><div>
Balances Stakeholders</div><div>
Collaborates</div><div>
Customer Focus</div><div>
Nimble Learning</div><div>
Plans and Aligns</div></div></div><div><div><h2 class="jobSectionHeader"><b>
Skills</b></h2></div><div><div>
Statistics</div><div>
SQL (Programming Language)</div><div>
Governance</div><div>
Automation</div><div>
Data Modeling</div><div>
Python (Programming Language)</div><div>
Data Mining</div><div>
Data Visualization</div><div>
Data Engineering</div><div>
Data Warehousing</div></div></div></div><p>
Benefits We Offer:</p><ul><li>
401k with Matching</li><li>
Family and Individual Insurance Packages (Health, Life, Dental, and Vision)</li><li>
Paid Time Off &amp; Paid Holidays</li><li>
Long &amp; Short-Term Disability</li><li>
Supplemental Insurance Plans</li><li>
Employee Assistance Program</li><li>
Employee Referral Program</li><li>
Tuition Reimbursement Programs</li><li>
Advancement &amp; Professional Growth opportunities</li><li>
Parental Leave</li><li>
&amp; More</li></ul><p>
Southwire is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.</p></div>

Senior Engineer, IT Data

Bluelight Consulting

<div><div><div>Bluelight Consulting is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its focus on quality and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.</div><div></div><div><br>
We are looking for a skilled individual to join our rapidly growing team at Bluelight Consulting. This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. You will have the opportunity to contribute to challenging and meaningful projects, developing high-quality applications that stand out in the market. We value continuous learning, personal growth, and hard work, offering a collaborative environment that promotes professional development. If you are passionate about software development and eager to be part of a growing software consultancy, we invite you to apply and join us on this exciting journey.</div></div>
<div><div><h3 class="jobSectionHeader"><b>What we are looking for</b></h3><ul><li><ul><li>
Experience with AWS services including but not limited to S3, Athena, EC2, EMR, and Glue.</li><li>
Ability to solve any ongoing issues with operating the cluster.</li><li>
Experience with the integration of data from multiple data sources.</li><li>
Experience with various database technologies such as SQLServer, Redshift, Postgres, and RDS.</li><li>
Experience with one or more of the following data integration platforms: Pentaho Kettle, SnapLogic, Talend OpenStudio, Jitterbit, Informatica PowerCenter, or similar.</li><li>
Knowledge of best practices and IT operations in an always-up, always-available service.</li><li>
Experience with or knowledge of Agile Software Development methodologies.</li><li>
Excellent problem-solving and troubleshooting skills.</li><li>
Excellent oral and written communication skills with a keen sense of customer service.</li><li>
Experience with collecting/managing/reporting on large data stores.</li><li>
Awareness of Data governance and data quality principles.</li><li>
Well versed in Business Analytics including basic metric building and troubleshooting.</li><li>
Understand Integration architecture: application integration and data flow diagrams, source-to-target mappings, data dictionary reports.</li><li>
Familiar with Web Services: XML, REST, SOAP.</li><li>
Experience with Git or similar version control software.</li><li>
Experience with integrations with and/or use of BI tools such as GoodData (Prefered), Tableau, PowerBI, or similar.</li><li>
Broad experience with multiple RDBMS: MS SQLServer, Oracle, MySQL, PostgreSQL, Redshift.</li><li>
Familiarity with SaaS/cloud data systems (e.g. Salesforce).</li><li>
Data warehouse design: star-schemas, change data capture, denormalization.</li><li>
SQL/DDL queries/Tuning techniques such as indexing, sorting, and distribution.</li><li>
BS or MS degree in Computer Science or a related technical field.</li><li>
3+ years of Data Pipeline development such as SnapLogic or Datastage, Informatica, or related experience.</li><li>
3+ years of SQL experience (No-SQL experience is a plus).</li><li>
Experience designing, building, and maintaining data pipelines.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Company Benefits</b></h3><ul><li><ul><li>
Competitive salary and bonuses, including performance-based salary increases.</li><li>
Generous paid-time-off policy</li><li>
Technology / Office stipend</li><li>
Health Coverage</li><li>
Flexible working hours</li><li>
Work remotely</li><li>
Continuing education, training, conferences</li><li>
Company-sponsored coursework, exams, and certifications</li></ul></li></ul></div></div>
<div><div>Being a consultant in our team is a fun, challenging, and rewarding career choice. Your contributions are highly valued by clients, and the work you do often has a direct and significant impact on their business.</div><div>
You will have the opportunity to work on a variety of projects for our incredible clients, which will accelerate your career growth. You&rsquo;ll collaborate with modern technologies and work alongside some of the best professionals in the industry!</div><div>
If you&rsquo;re eager to be part of an exciting, challenging, and rapidly growing consultancy, we encourage you to apply. #LI-Remote</div></div></div>

Data Engineer - Remote, USA

<div><div><div><p>Atlanta</p><div>
Senior GCP Data Engineer</div><p>
</p></div></div><p></p><div><div><div><div><div><p>
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p><div><div><div><div>
Job Description</div></div><div>
Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.</div></div><div><div><div>
Location</div></div><div><p>
This job is based in Atlanta, GA and Nashville, TN requiring hybrid work participation.</p></div></div><div><div><div>
About the job you're considering</div></div><div><p>
Looking for a GCP Data Engineer with strong Data Engineering experience to build and maintain complex technology initiatives. Your role will involve hands-on development and implementation of data platforms on Google Cloud Platform.
</p></div></div><div><div><div>Your role</div></div><div><p>
Build, develop, and maintain end-to-end data pipelines (ETL/ELT) on Google Cloud Platform.<br>
Implement data ingestion, processing, storage, and analytics using BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, and Composer.<br>
Implement modern data lakehouse and data warehouse architectures aligned with analytics and AI use cases.<br>
Ensure data quality, validation, and adherence to data governance and security standards.<br>
Develop infrastructure as code using Terraform or equivalent tools.<br>
Collaborate with architects and platform teams on CI/CD, DataOps, and monitoring strategies.<br>
Apply GCP security best practices, including IAM, networking, encryption, and compliance controls.<br>
Partner with business and technology stakeholders to translate technical designs into functional, efficient code.<br>
Act as a technical developer on cloud data modernization and GCP best practices.<br>
Support solution implementation, including testing, debugging, and production support.
</p></div></div><div><div><div>Your skills and experience</div></div><div><p>
Required: 5+ years of overall IT experience with 3+ years specifically in cloud data engineering.<br>
Required: Proven experience building and deploying GCP-based data pipelines.<br>
Background with large enterprise data programs across industries.<br>
Deep expertise in Google Cloud Platform, including BigQuery, Cloud Storage, Dataflow (Apache Beam), Pub/Sub, Dataproc (Spark), and Composer (Airflow).<br>
Strong knowledge of data modeling, ETL/ELT, streaming architectures, and SQL.<br>
Experience with CI/CD, Terraform, and DataOps practices.<br>
Exposure to AI/ML enablement on GCP (Vertex AI is a plus).<br>
Required: Google Professional Data Engineer Certification.<br>
Strong communication and stakeholder management abilities.<br>
Ability to explain technical concepts to technical and non-technical audiences.<br>
Experience working in global, distributed teams.<br>
Passion for innovation, engineering excellence</p></div></div></div><p>
The base compensation range for this role in the posted location is $76,200 to $ 187,740</p><p>
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p><p>
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p><p>
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p><p>
It is not typical for candidates to be hired at or near the top of the posted compensation range.</p><p>
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><p>
</p><p>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
</p><ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li></ul><ul><li>
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li><li>
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li><li>
Life and disability insurance</li><li>
Employee assistance programs</li><li>
Other benefits as provided by local policy and eligibility</li></ul><p>
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><p>
</p><p>Disclaimers</p><p>
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p><p>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p><p>
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p><p></p><p><br>
</p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
428467-en_US</div></div><div><div>
Posted on</div><div>
27 Feb 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Atlanta</div></div><div><div>
Business unit</div><div>
I and D Global Business Line</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

Senior GCP Data Engineer

Delta Air Lines

<div></div><div><div><div><div><div><div><b>UNITED STATES, GEORGIA, ATLANTA</b></div><b><br>
 </b><div></div><div><b>OPERATIONS ANLYS &amp; PERFORMANCE</b></div><b><br>
 </b><div></div><div><b>05-MAR-2026</b></div><b><br>
 </b><div></div><div><b>REF #: 31666</b></div><b>
</b></div></div></div></div><div><div><div><div><h3 class="jobSectionHeader"><b>HOW YOU'LL HELP US KEEP CLIMBING (OVERVIEW &amp; KEY RESPONSIBILITIES)</b></h3>
</div></div><div><div><p>The Operations Data Strategy &amp; Enablement (ODSE) team is seeking highly motivated and curious individuals who are excited to leverage data to improve the operations.</p><p>
ODSE enables the Operations Analytics organization by providing a unified, modern data foundation that improves data quality, accelerates insights, and empowers faster, smarter decision‑making across the business.</p><p>
The Co-Op will work closely with analytics professionals in the operation supporting one of the following functions or departments:</p><ul><li> Integrated Operations Planning (IOP) &ndash; Optimizing aircraft schedule and resource availability to maintain peak on-time performance</li></ul><ul>
<li>Operations Digital &amp; Decision Science (ODDS) &ndash; Developing decision science tools and digital product solutions</li>
<li>Corporate Safety, Security &amp; Compliance (CSSC) &ndash; Supporting the safety and security of the airline and its employees</li>
<li>Airport Customer Service (ACS) &ndash; Improving airport processes and managing performance</li>
<li>Crew &ndash; Improving Pilot and Flight Attendant operations and performance efficiency</li>
<li>Delta Connection (DC) &ndash; Supporting end to end analytics and cross-divisional operational initiatives and improvements for the operation of Delta&rsquo;s regional airlines</li>
<li>Flight Operations (FOP) &ndash; Managing aircraft and gate to gate operations and performance</li>
<li>Onboard Services (OBS) &ndash; Optimizing process, supply, and inventory of inflight products and services</li>
<li>In-Flight Services (IFS) &ndash; Enhancing customer onboard experience and catering operations and performance</li>
<li>Operations &amp; Customer Center (OCC) &ndash;Ttracking on-time flight metrics, weather, day-of flight analyses</li>
<li>Central &ndash; Managing centralized operations and competitive performance analyses</li>
</ul><p>Though individual responsibilities will vary by supporting division, some functional examples include:</p><ul>
<li>Analytics engineering - build data pipelines &amp; re-usable patterns (ETL/ELT) that transform raw sources into curated, analysis‑ready datasets</li>
<li>Data modeling - curate an operations-oriented ontology to build a scalable semantic layer</li>
<li>Data governance - steward good data management processes &amp; standards (documentation, quality, access control, lineage, catalog)</li>
<li>Data wrangling - research, analyze, and interpret operational data to solve complex business problems</li>
<li>Technical data product management - drive &quot;product&quot; mindset for building scalable data solutions that provide business value</li>
<li>Automated reporting - develop frameworks that enable faster reports &amp; dashboards for insights generation</li>
<li>Data platform testing - pilot and test out new data platform and tools that may benefit the operations analytics organization</li>
<li>Data optimization - identify opportunities to enhance operational metrics &amp; processes</li>
</ul><p>Students are <b>required</b> to complete <b>three alternating semesters of work</b> and school; all rotations must be completed before the student's graduation. <i>Note: Students are not permitted to work part-time hours and should refrain from taking classes and working as a co-op in the same semester.</i> The full-time work schedule for this role, while remaining actively enrolled in an approved undergraduate curriculum, is as follows:</p><ul>
<li>Fall 2026</li>
<li>Summer 2027</li>
<li>Spring 2028</li>
</ul><ul><li>Please ensure that this alternating semester rotation works with your university, curriculum, and/or academic advisor before applying.</li></ul><br>
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<br>
</div></div></div></div><div><div><div><div><h3 class="jobSectionHeader"><b>WHAT YOU NEED TO SUCCEED (MINIMUM QUALIFICATIONS)</b></h3>
</div></div><div><div><ul><li>Enrolled in an Undergraduate program in pursuit of a Bachelor&rsquo;s degree in Computer Science, Analytics, Economics, Industrial Engineering, Information Systems, or similar 4-year degree program</li><li>
Available for three alternating semesters for full-time work</li><li>
Ability to report in-person to Delta&rsquo;s World Headquarters (Atlanta, GA) or willing to relocate each semester (housing stipends will be provided to students who meet the minimum criteria)</li><li>
Team oriented and highly supportive of continuous improvement methodologies</li><li>
Basic understanding of data management &amp; enablement functions: ETL/ELT pipelines, relational database fundamentals, modeling concepts, etc.</li><li>
Proficiency with Python, SAS or other similar tools and programming languages</li><li>
Proficiency in SQL and ETL/ELT patterns</li><li>
Proficiency in Microsoft Office Suite and data analysis tools and concepts</li><li>
Strong organizational, project management, and verbal/written communication skills are essential</li><li>
Willingness/ability to adapt quickly and learn new skills is required</li></ul></div><ul><li><i><br>
Consistently prioritizes safety and security of self, others, and personal data.</i></li><li><i>
Embraces diverse people, thinking, and styles.</i></li><li><i>
Possesses a high school diploma, GED, or high school equivalency.</i></li><li><i>
Is at least 18 years of age and has authorization to work in the United States.</i></li></ul>
</div></div></div><div><div><div><div><h3 class="jobSectionHeader"><b>WHAT WILL GIVE YOU A COMPETITIVE EDGE (PREFERRED QUALIFICATIONS)</b></h3>
</div></div><div><ul><li></li></ul></div></div></div></div><p></p>

Co-op, Operations Analytics – Data Strategy and Enablement (Fall 2026)

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