lead data engineer

NIKE

<div><div><div><div>Position Type</div>
<div>Full Time</div>
</div><div></div><div><div>Career area</div>
<div>Data</div>
</div><div><div>Location</div>
<div>1 Bowerman Drive, Beaverton, Oregon 97005, United States</div>
</div><div></div><div><div>Job ID</div>
<div>R-88272</div></div></div><p></p><div><div><div><div><ul><li><p><br>
</p></li></ul></div></div></div></div><div><div><div><div><p>Become a Part of the NIKE, Inc. Team</p>
<p>NIKE, Inc. does more than outfit the world&rsquo;s best athletes. It&rsquo;s a place where passionate individuals come together to create the future of sport. We are unapologetic about who we are and what we&rsquo;re after&mdash;bringing innovation and inspiration to every athlete* in the world. We look for athletes who can push boundaries, elevate our potential and continue leading us to greatness. The next tastemakers, playmakers, risk takers and glue players. Are you game?</p>
</div><div><p>LEAD, DATA ENGINEER - NIKE</p>
<p><i>[Beaverton, OR - USA]</i></p>
<p></p><h2 class="jobSectionHeader"><b>WHO YOU'LL WORK WITH</b></h2>
<p>Consumer Product and Innovation (CP&amp;I) Data and Analytics Engineering sits at the intersection of product innovation and enterprise data strategy at Nike. Reporting to the Engineering Director, this team partners with data scientists, engineers, analysts, and product managers to build a cross-capability data foundation and a semantic layer that powers Advanced Analytics, Business Intelligence, and AI solutions driving business growth.</p>
<p></p><h2 class="jobSectionHeader"><b>WHO WE ARE LOOKING FOR</b></h2>
<p>We're looking for a Lead Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions within Nike's CP&amp;I organization. This role drives the development of robust data products that support Business Intelligence and AI initiatives across the business. The candidate will lead technical design and development while mentoring junior engineers and setting standards for data governance, performance, and engineering excellence.</p>
<p>We're seeking someone with deep expertise in distributed data processing and cloud-based data platforms who can translate complex business requirements into reliable, production-grade solutions. The ideal candidate brings strong leadership instincts, excels in cross-functional collaboration, and communicates technical concepts clearly to both engineering peers and non-technical stakeholders. Success in this role requires a builder's mindset, a commitment to continuous improvement, and the ability to thrive in a fast-paced environment where data directly fuels innovation and growth.</p>
<ul><li>Bachelor's degree or equivalent combination of education, experience, or training</li>
<li>8+ years of experience as a Data Engineer with strong expertise in Databricks, PySpark, SQL, and Apache Spark</li>
<li>Hands-on experience with the Databricks Lakehouse Platform, Medallion architecture, Delta Lake, and AWS data services (S3, RDS)</li>
<li>Proven experience leading and mentoring data engineering teams, with strong skills in CI/CD, Git, and DevOps practices</li>
<li>Experience with data modeling, ETL/ELT processes, real-time data processing frameworks (Kafka, Kinesis, or similar), and cross-functional stakeholder communication</li>
</ul><p></p><p><b>Preferred qualifications:</b></p>
<ul><li>Knowledge of Generative AI and Machine Learning pipelines and integrating them into production environments</li>
<li>Databricks certification (e.g., Databricks Certified Data Engineer or Databricks Certified Developer for Apache Spark)</li>
</ul><p></p><h2 class="jobSectionHeader"><b>WHAT YOU'LL WORK ON</b></h2>
<p>You'll be at the forefront of building Nike's data foundation and semantic layer - designing and delivering the pipelines, frameworks, and data products that turn raw data into insights shaping product innovation and business strategy. This is hands-on, high-impact work at the intersection of engineering craft and enterprise scale.</p>
<ul><li>Lead the design, development, and deployment of scalable data pipelines and architectures that power analytics and AI initiatives across CP&amp;I</li>
<li>Partner with data scientists, analysts, product managers, and business stakeholders to translate requirements into technical specifications and deliver solutions that drive decision-making</li>
<li>Mentor junior data engineers and champion best practices in coding standards, data governance, and performance optimization</li>
<li>Build and maintain robust, reusable data engineering components, frameworks, and libraries that process data from diverse sources with consistency and quality</li>
<li>Monitor, troubleshoot, and optimize data pipelines to ensure high availability, performance, and reliability at enterprise scale</li>
<li>Implement CI/CD pipelines to automate deployment and testing of data engineering workflows</li>
<li>Participate in code reviews and contribute to a culture of collaboration, innovation, and continuous improvement</li>
</ul><p>We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.</p>
</div><p></p><div><p>NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.</p>
<p>NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.</p></div><p></p><div><div><div><div><ul><br>
<li>
</li><li><p>
</p></li></ul></div></div></div></div></div></div><div><div>What You Can Expect
<h2 class="jobSectionHeader"><b>OUR HIRING GAME PLAN</b></h2>
</div><div><h3 class="jobSectionHeader"><b>01 Apply</b></h3>
<p>Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit &ndash; review job descriptions, departments and teams to discover the role for you.</p>
</div><div><h3 class="jobSectionHeader"><b>02 Meet a Recruiter or Take an Assessment</b></h3>
<p>If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you&rsquo;ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you &ndash; the whole you &ndash; so don&rsquo;t shy away from how you approach world-class service and what makes you unique.</p>
</div><div><h3 class="jobSectionHeader"><b>03 Interview</b></h3>
<p>Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.</p></div></div></div></div><div></div>

Lead Data Engineer

Capital One

<div>Senior Lead Data Engineer
<p></p><p>Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
</p><p></p><p>What You&rsquo;ll Do:
</p><ul><li><p>Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
</p></li><li><p>Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
</p></li><li><p>Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
</p></li><li><p>Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community
</p></li><li><p>Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
</p></li><li><p>Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
</p></li></ul><p></p><p>Basic Qualifications:
</p><ul><li><p>Bachelor&rsquo;s Degree
</p></li><li><p>At least 6 years of experience in application development (Internship experience does not apply)
</p></li><li><p>At least 2 years of experience in big data technologies
</p></li><li><p>At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
</p></li></ul><p></p><p>Preferred Qualifications:
</p><ul><li><p>Master's Degree
</p></li><li><p>9+ years of experience in application development including Python, SQL, Scala, or Java
</p></li><li><p>4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
</p></li><li><p>5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
</p></li><li><p>4+ year experience working on real-time data and streaming applications
</p></li><li><p>4+ years of experience with NoSQL implementation (Mongo, Cassandra)
</p></li><li><p>4+ years of data warehousing experience (Redshift or Snowflake)
</p></li><li><p>4+ years of experience with UNIX/Linux including basic commands and shell scripting
</p></li><li><p>2+ years of experience with Agile engineering practices
</p></li><li><p>Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
</p></li></ul><p></p><p><b><i>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
</i></b></p><p></p><p>The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
</p><p></p>Chicago, IL: $209,000 - $238,500 for Sr. Lead Data Engineer<p><br>
</p><p></p><br>
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<p>Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
</p><p></p>This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
<p></p><p>Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
</p><p></p>This role is expected to accept applications for a minimum of 5 business days.
<p></p>No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
<p></p><p>If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
</p><p></p><p>For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
</p><p></p><p>Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
</p><p></p><p>Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>

Senior Lead Data Engineer

Wells Fargo

<div><p><b>About this role:</b></p><p>
Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our cloud‑native data ecosystem. In this role, you will focus on Google Cloud Platform (GCP) services and frameworks, leading the design, build, and operation of reusable data capabilities that power analytics and AI at enterprise scale. The ideal candidate is passionate about standardized frameworks, self‑service data platforms, and governance‑by‑design, enabling secure, reliable, and compliant data solutions across Google Cloud services.</p><p></p><p>
The COO Technology group powers the firm&rsquo;s most critical operations by modernizing and optimizing enterprise technology platforms that enable resiliency, regulatory excellence, data services, customer experience, and strategic execution across the Chief Operating Office.</p><p></p><p><b>
In this role, you will:</b></p><ul><li>
Design and implement scalable, secure data platforms on Google Cloud using managed services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer).)</li><li>
Build reusable frameworks and tooling (ingestion, transformation, quality, orchestration) that can be adopted by multiple product and domain teams.</li><li>
Enable self‑service data consumption and governance by standardizing patterns, templates, and platform capabilities rather than one‑off pipelines.</li><li>
Design logical and physical data platform architectures leveraging BigQuery, Dataflow/Apache Beam, Dataproc/Spark, Pub/Sub, and Cloud Storage.</li><li>
Define and implement standardized ingestion, transformation, and serving patterns (batch and streaming) as reusable blueprints.</li><li>
Optimize cost, performance, and reliability of GCP data workloads (partitioning, clustering, storage classes, autoscaling strategies).</li><li>
Build opinionated data ingestion frameworks (e.g., config‑driven pipelines, connectors, schema handling, error handling) on top of Dataflow, Dataproc, or Composer.</li><li>
Develop shared transformation libraries in Python/SQL/Beam (e.g., common SCD patterns, data quality checks, masking/tokenization routines).</li><li>
Provide orchestration capabilities via Cloud Composer or Cloud Workflows with reusable DAGs/templates and CI/CD integration.</li><li>
Implement robust data modeling (dimensional, data vault, or canonical models) and semantic layers in BigQuery and related tools.</li><li>
Enforce data quality, lineage, and observability using standardized metrics, validation rules, and monitoring dashboards.</li><li>
Apply security and governance controls: IAM, VPC‑SC, CMEK, row/column‑level security, and policy‑driven access patterns</li><li>
Partner with domain data engineers, analytics, and ML teams to onboard use cases onto platform services and frameworks</li><li>
Document patterns, runbooks, and best practices, and provide enablement through workshops and code examples.</li><li>
Contribute to platform roadmap, tool selection, and evaluation of new GCP services and open‑source components</li></ul><p></p><p><b>
Required Qualifications:</b></p><ul><li>
5+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li><li>
5+ years of data management experience within Public Cloud (GCP, AWS, Azure)
</li><li>5+ years of hands on experience of Python or Java, plus Spark SQL for building data pipelines, libraries, and automation tooling.</li><li>
5+ years with orchestration tools (Cloud Composer/Airflow) and CI/CD (Cloud Build, Git‑based workflows) for data workloads</li></ul><p></p><p><b>
Desired Qualifications:</b></p><ul><li>
Experience with logging/monitoring stacks (Cloud Logging, Cloud Monitoring, error reporting, metrics dashboards</li><li>
Experience with automated testing, data quality checks, and monitoring for pipelines and platform services.</li><li>
Knowledge of cloud architecture principles (networking, security, IAM, reliability, cost management).</li><li>
Experience with core GCP data services: BigQuery, Dataflow/Apache Beam, Dataproc, Pub/Sub.</li></ul><ul><li>
Experience with Agile transformations and technology roadmaps.</li><li>
Experience working with onshore and offshore teams.</li></ul><p></p><p><b>
Job Expectations:</b></p><ul><li>
Flexible to provide both application development and production support during off-hours</li><li>
This role is not eligible for Visa Sponsorship</li><li>
Hybrid schedule (3 days in office, 2 days remote)</li><li>
Work Transparently: You always deal in an honest, direct, and transparent way</li><li>
Take Ownership: You embrace responsibility and find joy in having the answers</li><li>
Learn More: You regularly self-educate and improve your skill set</li></ul><p></p><p><b>
Job Posting Locations:</b></p><p>
194 S Wood Ave, Iselin, New Jersey 08830</p><p>
300 S Brevard St., CHARLOTTE, North Carolina 28202</p><p>
401 Las Colinas Blvd W Bldg A, Irving, Texas 75039</p><p></p><p><b>
Pay Range</b></p><p><br>
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.</p>
$119,000.00 - $224,000.00<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Benefits
</b></p><p></p><p>Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.</p><ul><li>
Health benefits</li><li>
401(k) Plan</li><li>
Paid time off</li><li>
Disability benefits</li><li>
Life insurance, critical illness insurance, and accident insurance</li><li>
Parental leave</li><li>
Critical caregiving leave</li><li>
Discounts and savings</li><li>
Commuter benefits</li><li>
Tuition reimbursement</li><li>
Scholarships for dependent children</li><li>
Adoption reimbursement</li></ul></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><p><b>
Posting End Date:</b></p><p></p>
15 Jul 2026<ul><li><b><i>Job posting may come down early due to volume of applicants.</i></b></li></ul><p></p><p><b>
We Value Equal Opportunity</b></p><p></p><p>
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.</p><p></p><p>
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.</p><p></p><p><b>
Applicants with Disabilities</b></p><p></p><p>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.</p><p></p><p><b>
Drug and Alcohol Policy</b></p><p></p><p><br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.</p><p></p><p><b>
Wells Fargo Recruitment and Hiring Requirements:</b></p><p></p><p>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.</p><p>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</p></div><p></p>

retail services & systems

<div><p><b>About the Role</b></p><p>
Retail Services and Systems, Inc. (dba Total Wine &amp; More) is seeking a <b>Lead Data Engineer (Warehousing)</b><b> </b>to work at our Bethesda, MD HQ.</p><p></p><p><b>
You will</b></p><ul><li>Partner with Data Services leadership team to develop vision for next evolution of Enterprise Data &amp; Analytics Platform.</li><li>Partner with Data Services product owners, data warehouse engineers, data scientists, and BI developers to support and deliver reports, predictive models, datasets, and solutions.</li><li>Design and implement improvements to data workflows to improve efficiency and reduce costs and develop new features to support business requirements.</li><li>Design and build data quality testing processes and monitoring of processes to ensure access to quality data for business partners and end users.</li><li>Assist with implementation of data architecture and data governance standards and best practices.</li><li>Create and manage batch and real time data pipelines, including managing and enhancing Kafka and Kubernetes implementations.</li><li>Stay informed of new tech and trends to guide optimization and continuous advancement of platforms.</li><li>Be proactive and take ownership of projects and tasks.</li><li>Coach junior team members and share knowledge with broader team.</li><li>Implement good security practices to handle sensitive information.</li><li>May undergo background checks including drug screening.</li></ul><p></p><p><b><br>
You will come with</b></p><ul><li>Master's degree in Computer Science, Technology, or related field.</li><li>5 years relevant alcohol beverage industry experience in data engineering, data warehousing, data architecture, and data modeling.</li><li>Skills (5 years experience) in: GCP environment &ndash; BigQuery, Airflow/Cloud Composer, Cloud functions, data loss prevention (DLP), PubSub, and Kubernetes (GKE); SQL and DBMSs; Python; dbt and Kafka data ingestion and transformation tools; data modeling solutions using cloud-native tools; data and analytics platforms &ndash; Dev-ops, Docker, CI/CD including GitHub, Cloud Build, Jenkins; Power BI.</li></ul><p></p><p><b><br>
We offer</b></p><ul><li>Paid Time Off (PTO)</li><li>Generous store discounts</li><li>Health care plans (medical, prescription, dental, vision)</li><li>401(k), HSA, FSA, Pre-tax commuter benefits</li><li>Disability &amp; life insurance coverage</li><li>Paid parental leave</li><li>Pet insurance</li><li>Critical illness and accident insurance</li><li>Discounted home and auto insurance</li><li>College tuition assistance</li><li>Career development &amp; product training</li><li>Consumer classes</li><li>&amp; More!</li></ul><p></p><p><b><br>
Crafted for you</b></p><p>
We recognize our team members are our biggest asset, and we value the critical role each play in contributing to the company&rsquo;s success. It is our commitment to support and provide access to the resources needed to take care of their health and wellbeing. That is why we offer a variety of benefits, tools, and resources to support through our Total Rewards program. To view our full career page, click here: https://careers.totalwine.com/!</p><p></p><p><i>
Total Wine &amp; More considers several factors when establishing compensation. Compensation may vary based on a number of factors including, but not limited to, market location, job-related knowledge, skills and/or experience. The actual hourly rate will equal or exceed the required minimum wage applicable to the job location. Estimated salaries determined by third parties have not been validated by Total Wine &amp; More.</i></p><p></p><p><i>
Total Wine &amp; More is an equal opportunity employer and all qualified applicants will receive consideration for employment without discrimination based on race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Total Wine &amp; More makes reasonable accommodations during all aspects of the employment process, including during the interview process. Total Wine &amp; More is a Drug Free Workplace.</i></p><p></p><p><i>
The information provided above indicates the general nature and level of work required of the position and is not a comprehensive list of all responsibilities or qualifications. Benefits list is only a highlight of some of the benefits offered to team members; eligibility for certain benefits apply.</i></p><p></p><p><b>
Prevailing Wage Pay Range: </b>$210,600.00 Annual
</p><h1 class="jobSectionHeader"><b>Worker Type:
</b></h1>Regular<p></p><h1 class="jobSectionHeader"><b>
Pay Range:</b></h1>
$214,650.00 - $322,020.00 Annual</div>

Lead Data Engineer (Warehousing)

Georgia-Pacific

<div><b>Your Job</b><p>
As a Lead Data Platform Engineer on the Georgia Pacific Data Platform team, you will help deliver trusted, high-quality data across hundreds of systems and thousands of data assets. You will own, deliver, operate, and help architect the Enterprise Data Lake, Ingestion Framework, and Databricks Platform while partnering with Data Governance, Data Delivery, Product Owners, and Solution Architects to keep the platform reliable, scalable, governed, and aligned with business needs.</p><p>
This role is based in our Atlanta, GA HQ office located on Peachtree St. The expectation is hybrid (3x) in office per week.</p><p><b>
Our Team</b></p><p>
The Georgia Pacific Data Platform team builds, manages, &amp; operates centralized products that support Georgia Pacific's Business Units and IT. These products enable data to be ingested, stored, processed, governed, managed, presented, and consumed consistently across the enterprise.</p><p><b>
What You Will Do</b></p><br>
<ul><li>
Lead and optimize the GP data platform (Enterprise Data Lake, Ingestion Framework, Databricks), ensuring reliability, integrity, and cost efficiency data and data infrastructure
</li><li>Collaborate with cross-functional teams to deliver features, maintain a healthy agile process, and enhance platform accessibility for customers
</li><li>Drive automation, operational excellence, and continuous improvement through performance monitoring, issue resolution, and development of self-service tools
</li></ul><p><b>Who You Are (Basic Qualifications)</b></p><br>
<ul><li>
Experience designing, building, and maintaining large-scale distributed systems
</li><li>Experience serving as a senior technical leader overseeing multiple data engineering teams
</li><li>Experience in architectural design and systems integration for multi-stakeholder, enterprise-grade platforms
</li><li>Experience leading operations for highly available data platforms and data lakes
</li><li>Demonstrated experience in data infrastructure, including proficiency with Infrastructure as Code practices and skilled in GIT and CI/CD design patterns
</li><li>Must have legal authorization to work permanently in the United States for any employer without requiring a visa transfer or visa sponsorship
</li></ul><p><b>What Will Put You Ahead</b></p><br>
<ul><li>
Delivered innovative, scalable data solutions using Python, SQL, Spark, and Delta Lake, while optimizing data accessibility with open table formats (Delta, Hudi, Iceberg)
</li><li>Enhanced system efficiency and reliability by leveraging Terraform, Git/CI-CD workflows, and DAG tools (Airflow, Step Functions, Databricks Declarative Pipelines)
</li><li>Implemented and optimized the Databricks Data Platform and AWS services (Lambda, Glue, EventBridge, ECS, Kafka, etc.) to support business objectives
</li></ul><p>At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.</p><p><b>
Hiring Philosophy</b>
</p><p>All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here.</p><p><b>
Who We Are</b></p><p>
As a Koch company and a leading manufacturer of bath tissue, paper towels, paper-based packaging, cellulose, specialty fibers, building products and much more, Georgia-Pacific works to meet evolving needs of customers worldwide with quality products. In addition to the products we make, we operate one of the largest recycling businesses. Our more than 30,000 employees in over 150 locations are empowered to innovate every day - to make everyday products even better.</p><p>
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.</p><p><b>
Our Benefits</b>
</p><p>Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.</p><p><b>
Equal Opportunities</b>
</p><p>Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, all offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please visit the following website for additional information: http://www.kochcareers.com/doc/Everify.pdf
</p><p>#LI-RR1</p></div>

Peraton

<div><div><h5 class="jobSectionHeader"><b>About Peraton</b></h5>
<p>Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world&rsquo;s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we&rsquo;re keeping people around the world safe and secure.</p>
</div><div><h5 class="jobSectionHeader"><b>Program Overview</b></h5>
<div>RDG (Risk Decision Group) provides nationwide background investigations compliant with national government standards to include support of continuous vetting for over 110 government agencies.</div>
</div><div><h5 class="jobSectionHeader"><b>About The Role</b></h5>
<div><p>Peraton is hiring a <b>Data Architecture, Lead Associate.</b> This work is <b>100% remote.</b></p><br>
<p></p><p>This role builds and extends a greenfield data and AI platform supporting federal background investigation work. Working alongside the platform's lead engineer, you'll develop and maintain the pipelines, transformations, and data products that move the platform forward &mdash; growing your ownership as the platform matures. This is hands-on engineering in a high-trust environment where FedRAMP Moderate, NIST 800-171, and CUI handling shape how the work is built.</p>
<p>Active clearance preferred; candidates able to obtain one encouraged to apply.</p>
<ul><li>Build, test, and maintain data ingestion, transformation, and pipeline code that turns raw and synthetic data into governed, analysis-ready data products.</li>
<li>Extend the platform following the architecture, patterns, and standards set by the lead platform engineer.</li>
<li>Contribute to infrastructure-as-code (Terraform) and CI/CD pipelines that promote work into the accredited production environment.</li>
<li>Monitor data quality, pipeline reliability, and performance; troubleshoot and resolve issues.</li>
<li>Apply data governance, cataloging, and access-control practices within the established framework.</li>
<li>Support the data science and ML team by delivering the governed datasets and tooling they need.</li>
<li>Operate within FedRAMP Moderate, NIST 800-171, and CUI constraints in day-to-day engineering.</li>
<li>Collaborate closely with the engineering team and maintain clear documentation of pipelines and processes.</li>
</ul></div></div><div><h5 class="jobSectionHeader"><b>Qualifications</b></h5>
<div><p><b>Required Qualifications</b></p>
<ul><li>U.S. Citizenship required.</li>
<li>Must be able to obtain and maintain a T5/SSBI federally adjudicated clearance; active clearance preferred.</li>
<li>4 years building and maintaining production data pipelines.</li>
<li>Strong proficiency in Python and SQL.</li>
<li>Hands-on ETL / data pipeline development and sound analytical data modeling.</li>
<li>Working familiarity with cloud data platforms (Azure preferred; AWS or GCP fine) and version control / CI/CD workflows.</li>
<li>Solid analytical, troubleshooting, and communication skills.</li>
<li>5 years work experience with BS/BA</li>
</ul><p><b>Preferred Qualifications</b></p>
<ul><li>Databricks experience (or a comparable lakehouse stack: Spark, Delta, dbt, Snowflake).</li>
<li>Exposure to infrastructure-as-code (Terraform) and CI/CD for data workloads.</li>
<li>Experience in regulated or accredited environments: FedRAMP, NIST 800-171, CMMC, or CUI handling.</li>
<li>Active security clearance (T5/SSBI or higher).</li>
<li>Government or defense contracting experience.</li>
<li>Familiarity with data governance / cataloging tooling (e.g., Unity</li>
<li>Catalog) and orchestration tools (Airflow, dbt).</li>
</ul><p><b>Soft Skills</b></p>
<ul><li>Dependable, self-directed execution with minimal oversight.</li>
<li>Strong collaboration across technical and non-technical teams.</li>
<li>Clear documentation and knowledge-sharing.</li>
<li>Eagerness to grow ownership and learn the compliance environment.</li>
</ul><p>#RDG</p>
</div></div><div><h5 class="jobSectionHeader"><b>Details</b></h5>
<div><p><b>Target Salary Range:</b> $112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual&rsquo;s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.</p>
</div><div><p><b>Benefits Statement:</b> Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.</p>
</div><div><p><b>Application Statements:</b> The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.</p>
</div><p><b>EEO:</b> Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.</p></div></div><div></div>

Senior Data Platform Engineer

Integrant, Inc.

<div>
 <p>
  We're on the lookout for exceptional individuals to join our team as
  <strong>
   Principal Data Engineers
  </strong>
  . As a part of our team, you'll be driving change and making a significant impact in the gaming industry.
 </p>
 <ul>
  <li>
   Lead the design, development, and maintenance of end-to-end data analytical solutions using Microsoft on-premises and cloud technologies.
  </li>
  <li>
   Engage in collaborative requirement elicitation activities with our valued clientele.
  </li>
  <li>
   Mentor and guide junior team members in the field of data engineering.
  </li>
  <li>
   Showcase your expertise by delivering innovative analytical solutions to our clients and contributing to knowledge transfer within the organization.
  </li>
  <br/>
 </ul>
 <strong>
  Requirements
  <br/>
 </strong>
 <ul>
  <li>
   6+ years of experience as a data engineer.
  </li>
  <li>
   Familiarity with analytical architectures including Data Warehouses, Data Lakes and Data Lakehouses.
  </li>
  <li>
   Knowledge of Microsoft relational engines available - both on-premises (MS SQL Server) and on the cloud (Azure SQL, Azure Synapse Analytics Dedicated Pools).
  </li>
  <li>
   Knowledge of query and workload optimization.
  </li>
  <li>
   Knowledge of administrating and managing analytical solutions both on premises and on the cloud.
  </li>
  <li>
   Knowledge of NoSQL offerings on Azure (e.g. CosmosDB).
  </li>
  <li>
   Knowledge of setting up Data Lakes on ADLS gen 2 and Azure Synapse Analytics.
  </li>
  <li>
   Knowledge of using SSIS and Azure Data Factory to set up ETL jobs.
  </li>
  <li>
   Knowledge of setting up OLAP solutions using SSAS.
  </li>
  <li>
   Familiarity with Azure Data Catalog to manage data lake metadata.
  </li>
  <li>
   Knowledge of governance over Azure based analytical solutions including using tools such as Purview, Active Directory, Key Vault, Azure DevOps, etc.
  </li>
  <li>
   Knowledge of using Azure Stream Analytics to capture and analyze data in real time.
  </li>
  <li>
   Knowledge of setting up data warehouse solutions both on-premises (using MS SQL Server) and on the cloud (using Azure Synapse Analytics).
  </li>
  <li>
   Knowledge of Dimensional Modeling (Dimensions, Facts, Slowly Changing Dimensions, Outriggers, Role Playing Dimensions, Junk Dimensions, Degenerate Dimensions, Multi-valued Dimensions, Transactional Facts, Periodic Snapshot Facts and Accumulating Snapshot Facts).
  </li>
  <li>
   Knowledge of implementing common ETL patterns to support data warehouse workloads.
  </li>
  <li>
   Knowledge of using U-SQL, PolyBase and Azure Data Lake Analytics to perform federated querying.
  </li>
  <li>
   Knowledge of PowerBI.
  </li>
  <li>
   Familiarity with SSRS.
  </li>
  <li>
   <strong>
    Snowflake Experience:
   </strong>
   Experience with Snowflake is required.
  </li>
 </ul>
 <p>
  Nice to Have:
 </p>
 <ul>
  <li>
   An MSc in Computer Science or other relevant field.
  </li>
  <li>
   Familiarity with Azure Databricks.
  </li>
  <li>
   Familiarity with DataOps
  </li>
  <li>
   Familiarity with Azure Cognitive Services.
  </li>
  <li>
   Familiarity with Azure ML.
  </li>
  <li>
   Familiarity with MLOps.
  </li>
  <li>
   Familiarity of containerization tools and frameworks (Docker, Kubernetes, etc.)
  </li>
  <li>
   Familiarity with Azure HD Insight.
  </li>
  <li>
   Familiarity with the Hadoop ecosystems, including tools like Hive, Spark and Kafka.
  </li>
  <li>
   Familiarity with Azure Functions to perform lightweight transformations.
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
 </strong>
 <ul>
  <li>
   Salary paid in USD
  </li>
  <li>
   Six-month career advancing opportunities
  </li>
  <li>
   Supportive and friendly work environment
  </li>
  <li>
   Premium medical insurance [employee +family]
  </li>
  <li>
   English language development courses
  </li>
  <li>
   Interest-free loans paid over 2.5 years
  </li>
  <li>
   Technical development courses
  </li>
  <li>
   Planned overtime program (POP)
  </li>
  <li>
   Employment referral program
  </li>
  <li>
   Premium location in Maadi
  </li>
  <li>
   Social insurance
  </li>
 </ul>
</div>


Principal Data Engineer

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