June 10, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
- Bachelors degree, Civil Engineering or Architecture degree highly preferred, from a college or university accredited by the Accreditation Board for Engineering and Technology (ABET) and 8+ years of experience in design and construction of commercial or institutional facilities or a Masters degree and 6+ years of relevant experience.
Senior Endpoint Management Engineer (Intune & Entra ID) Skills and QualificationsBachelor's Degree in a related field and three years of progressively responsible, professional-level analyst and systems experience in a large-scale Information Technology environment; or an equivalent combination of education and experience. M365 Ecosystem: Experience supporting, installing, and troubleshooting mainstream M365 products (including Microsoft Teams, Teams Premium, New Outlook, and M365 Copilot / Copilot Chat / Teams Administration).
Overview: We are seeking a highly skilled Senior DevOps Platform Engineer to design, build, and support scalable, secure, and reliable cloud platforms across Azure (primary) and AWS environments. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs.
Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers.
Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers.
SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. Ideal candidates for interview-focused support include: recent grads with limited experience, candidates stuck after multiple interviews, professionals returning after layoffs, candidates with career gaps.
Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. Since 2010, we’ve helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k.
Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.
The Company owns, operates and/or provides services to 178 television stations in 81 markets affiliated with all major broadcast networks; owns Tennis Channel, the premium destination for tennis enthusiasts; multicast networks CHARGE, Comet, ROAR and The Nest. Full time positions are eligible for benefits that include participation in a retirement plan, quarterly and annual incentive plan bonuses, life and disability insurance, health, dental and vision plans, flexible spending accounts, 15 paid vacation days, 2 paid personal days, 9 paid holidays, 40 hours of paid sick leave, parental leave, and employee stock purchase plan.
http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law 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 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>Essential Responsibilities: - Completes work assignments and supports business-specific projects by applying expertise in subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating and assigning resources to accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions; solving complex problems; escalating high priority issues or risks, as appropriate; and recognizing and capitalizing on improvement opportunities. AdditionalLocations-[ --{ ----"city":-"Corona", ----"region":-null, ----"country":-null --}, --{ ----"city":-"Lake-Oswego", ----"region":-null, ----"country":-null --}, --{ ----"city":-"Greenwood-Village", ----"region":-null, ----"country":-null --}, --{ ----"city":-"Atlanta", ----"region":-"GA", ----"country":-"United-States" --}, --{ ----"city":-"Hyattsville", ----"region":-null, ----"country":-null --}, --{ ----"city":-"Renton", ----"region":-null, ----"country":-null --}, --{ ----"city":-"Honolulu", ----"region":-null, ----"country":-null --} ] custom_fields.
p>Typical engineering challenges include working with data science and climate science teams in operationalizing trained models and data pipelines, absorbing upstream vendor corrections and historical restatements without corrupting downstream artifacts, scaling raster × vector joins at terabyte scale, evolving schemas and spatial-indexing strategies as data sources broaden, and balancing long-running batch workflows against emerging sub-daily refresh cadences. Our team maintains a global-scale geospatial data platform in Google BigQuery, holding many terabytes of data across carbon transition risk, physical climate risk, and social/demographic features - feeding analytical products for fixed income and real estate financial instruments, supporting the ambitious product roadmap for ICE Climate and other data products.
p>• Design and implement thorough data architecture strategies • Lead large-scale projects and innovate processes • Maintain operational excellence and client interactions • Develop and document data models and data flow diagrams • Adhere to data governance and security policies • Collaborate with business stakeholders to translate data requirements into technical solutions • Drive project success through strategic advising and problem-solving • Foster a diverse and inclusive team environment. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
AdditionalLocations-[ --{ ----"city":-"Corona", ----"region":-null, ----"country":-null --}, --{ ----"city":-"Lake-Oswego", ----"region":-null, ----"country":-null --}, --{ ----"city":-"Greenwood-Village", ----"region":-null, ----"country":-null --}, --{ ----"city":-"Atlanta", ----"region":-"GA", ----"country":-"United-States" --}, --{ ----"city":-"Hyattsville", ----"region":-null, ----"country":-null --}, --{ ----"city":-"Renton", ----"region":-null, ----"country":-null --}, --{ ----"city":-"Honolulu", ----"region":-null, ----"country":-null --} ] custom_fields. Essential Responsibilities: Completes work assignments by applying up-to-date knowledge in subject area to meet deadlines; following procedures and policies, and applying data and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate.
Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies.
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. 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's discretion, consistent with applicable laws.
In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts.
Atlanta, Georgia30+ days ago
ul>40% - People Management & Team Leadership - Provide leadership, mentorship and coaching to Data Engineers (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team’s results and celebrate accomplishments. 25% - Project Management & Team Support - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts.
The ideal candidate will have strong expertise in data architecture, ETL/ELT processes, cloud platforms, and big data technologies, along with the ability to mentor junior engineers and collaborate with cross-functional teams. We are seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data pipelines and data platforms that support business intelligence, analytics, machine learning, and operational reporting.
WTW provides a competitive benefit package which includes the following (eligibility requirements apply): Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&D, Group Legal, Identify Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program). The Principal Data Engineer is a senior, hands‑on technical leader responsible for designing, building, and evolving scalable, reliable, and cost‑efficient data and analytic platforms that power analytics, reporting, and advanced AI/predictive use cases.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; San Francisco, CA, USA. GBO includes the commercial arms of Ads sellers, business development teams, and customer services and support, as well as overlay programs that enable coordinated engagement with Google"s most complex and important customers and partners.
Write dbt YAML documentation - table descriptions, column definitions, and grain statements - as a first-class production deliverable, recognizing that documentation quality directly determines AI answer accuracy. Fluency in the revenue data chain (Billing ARR Deferred Revenue Rev Rec Close Pack) with the ability to engage finance stakeholders directly on data discrepancies.
Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services • Designing and managing data warehouses and data lakes, verifying data is organized and accessible • Monitoring and troubleshooting data pipelines, data warehouses and workflows to verify data quality, system reliability, performance and cost management • Implementing IAM roles and policies to manage access and permissions within AWS, Azure, GCP • Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments • Use AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines • Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks • Improving Cloud resources for cost, performance, and scalability • Proficiency in SQL and experience with relational databases • Proficient in programming languages such as Python, Java, or Scala • Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus • Experience with machine learning and data science workflows is a plus • Knowledge of data governance and data security practices • Demonstrating analytical, problem-solving, and communication skills • Having the ability to work independently and as part of a team in a fast-paced environment • Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures • Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback • Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment • Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. • Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus • Designing and implementing thorough data architecture strategies that meet the current and future business needs • Developing and documenting data models, data flow diagrams, and data architecture guidelines • Verifying data architecture is compliant with data governance and data security policies • Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions • Evaluating and recommending new data technologies and tools to enhance data architecture • Building, maintaining, and improving ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data processing • Building, maintaining, and improving Data Quality rules leveraging DQ tools and/or other ETL/ELT tools • Developing and deploying scalable data storage solutions using AWS, Azure and GCP services such as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.
ul>Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.