software engineer Jobs in Person Jobs In Training Jobs In Person Jobs In Person Jobs In Person Jobs In Training Jobs In Training Jobs In United States

software engineer

senior software engineer Jobs in Person Jobs In Training Jobs In Person Jobs In Person Jobs In Person Jobs In Training Jobs In Training Jobs In United States

senior software engineer

data engineer Jobs in Person Jobs In Training Jobs In Person Jobs In Person Jobs In Person Jobs In Training Jobs In Training Jobs In United States

data engineer

data analyst Jobs in Person Jobs In Training Jobs In Person Jobs In Person Jobs In Person Jobs In Training Jobs In Training Jobs In United States

data analyst

principal software engineer Jobs in Person Jobs In Training Jobs In Person Jobs In Person Jobs In Person Jobs In Training Jobs In Training Jobs In United States

principal software engineer

senior data engineer

Information Technology Senior Management Forum

<div><div>Posted Date
9/09/2025
</div><div>Description
<div>Senior Data Engineer
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 Data Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
What You&rsquo;ll Do:<ul><li>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li><li>
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems</li><li>
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</li><li>
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</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
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</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 3 years of experience in application development (Internship experience does not apply)</li><li>
At least 1 year of experience in big data technologies</li></ul>
Preferred Qualifications:<ul><li>
5+ years of experience in application development including Python, SQL, Scala, or Java</li><li>
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li><li>
3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)</li><li>
2+ year experience working on real-time data and streaming applications</li><li>
2+ years of experience with NoSQL implementation (Mongo, Cassandra)</li><li>
2+ years of data warehousing experience (Redshift or Snowflake)</li><li>
3+ years of experience with UNIX/Linux including basic commands and shell scripting</li><li>
2+ years of experience with Agile engineering practices</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
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.
Cambridge, MA: $158,600 - $181,000 for Senior Data Engineer 

McLean, VA: $158,600 - $181,000 for Senior Data Engineer 

Richmond, VA: $144,200 - $164,600 for Senior Data Engineer 
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.
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.
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.
This role is expected to accept applications for a minimum of 5 business days.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.
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.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
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.
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).
Senior Data Engineer
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 Data Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
What You&rsquo;ll Do:<ul><li>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li><li>
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems</li><li>
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</li><li>
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</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
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</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 3 years of experience in application development (Internship experience does not apply)</li><li>
At least 1 year of experience in big data technologies</li></ul>
Preferred Qualifications:<ul><li>
5+ years of experience in application development including Python, SQL, Scala, or Java</li><li>
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li><li>
3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)</li><li>
2+ year experience working on real-time data and streaming applications</li><li>
2+ years of experience with NoSQL implementation (Mongo, Cassandra)</li><li>
2+ years of data warehousing experience (Redshift or Snowflake)</li><li>
3+ years of experience with UNIX/Linux including basic commands and shell scripting</li><li>
2+ years of experience with Agile engineering practices</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
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.
Cambridge, MA: $158,600 - $181,000 for Senior Data Engineer 

McLean, VA: $158,600 - $181,000 for Senior Data Engineer 

Richmond, VA: $144,200 - $164,600 for Senior Data Engineer 
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.
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.
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.
This role is expected to accept applications for a minimum of 5 business days.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.
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.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
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.
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).</div>
</div><div>Salary
158,600.00 - 181,000.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Senior Data Engineer

Goddard Systems Inc

<div>Come join our Goddard Systems, LLC (GSL) corporate team! We are a great place to work and offer many employee-friendly perks and benefits. GSL is the manager of the Goddard School franchise system that supports over 600 schools which delivers a high-quality, play-based learning program to families all over the United States. Our successful franchise business model supports franchisees through partnerships with teams of seasoned professionals who draw over 30 years of business, marketing, IT, franchise, finance, and education experience. Because of this, The Goddard School has grown into an institution that parents and families trust, reaching more than 80,000 students in 38 states &ndash; and growing.

Position Summary

As a Senior Data Engineer, the candidate will be responsible in integrating, analyzing raw data, developing, and maintaining datasets and improving data quality and efficiency. The engineer needs to have strong analytical skills and will involve various methods to integrate different data sources, transform data into useful business drivers. Candidate should be intimate with several data stores, integration tools/technologies, data transformation methods, data modelling and analysis. Candidate should be able to work across projects involving multiple stakeholders. Having strong technical and programming skills while working with business, architects, partners to resolve complex system issues.

Responsibilities:
<ul>
<li>Develops and maintains scalable data pipelines, integration tools and builds out new API integrations to support continuing increases in data usage, volume, and complexity.</li>
</ul><ul><li>Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.</li>
</ul><ul><li>Designs data integrations, data quality framework and integrate it with monitoring services. Strong hands on capabilities across integration toolsets including but not limited to ADF, Replication, CDC etc.</li>
<li>Integrate data from different SOR&rsquo;s, combine raw information and create resulting models ready for consumption.</li>
<li>Interpret trends and patterns.</li>
<li>Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.</li>
<li>Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, DB, SQL, and data pipelines performance tuning, optimizing data delivery, and automating manual processes</li>
<li>Build solution prototypes as needed and write algorithms against data.</li>
<li>Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.</li>
</ul><ul><li>Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.</li>
<li>Works closely with a team of frontend and backend engineers, product managers, and analysts</li>
<li>Data Management, Modelling, Architecture, and Integration</li>
</ul>
Experience and Competencies

Minimum Requirements
<ul><li>Bachelor's degree in data analytics or similar field.</li>
<li>Hands-on 7+ years' experience with SQL, Data integration, Data analysis, Data Modelling, and design</li>
<li>4+ years of Python, NodeJs or Java development experience</li>
<li>4+ years of experience with schema design and dimensional data modeling</li>
<li>Experience in technology platforms across Microsoft Azure, Cloud Computing, Software as a Services (SaaS), Integration Platform as a Service (IPaaS), Infrastructure as a Service (IaaS)</li>
<li>Previous experience as a data engineer or in a similar role</li>
<li>Technical expertise with data models, data mining, and segmentation techniques</li>
<li>Experience working and implementing solutions with Microservices Architecture</li>
<li>Experience working with Data warehousing and Data Lake solutions.</li>
<li>Demonstrated ability to instrument Data Quality &amp; Management standards and processes.</li>
<li>4+ years working with data integration and ETL tools, such as Azure Data Factory, CDC, Replication, Talend, Informatica etc.</li>
<li>Strong problem-solving and analytical skills</li>
</ul>
Highly Desired
<ul>
<li>Master's degree in data analytics or related field</li>
<li>Data engineering certifications is a plus</li></ul> 


There will be periodic requirements to travel for in-person events, at the discretion of your manager or the requirement of the company. 
Equal Opportunity Employer 
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.</div>

DriveTime Automotive Group

<div>What&rsquo;s Under the Hood
DriveTime Family of Brands is the largest privately owned used car sales finance &amp; servicing company in the nation. Headquartered in Tempe, Arizona and Dallas, Texas, we create opportunities and improve the lives of our customers and our employees by placing a focus on putting the right customer, in the right vehicle, on the right terms and on their path to ownership.
The DriveTime Family of Brands spans across DriveTime, Bridgecrest and SilverRock. You can find us at the intersection of technology and innovation as we use our proprietary tools and over two decades of industry knowledge to redefine the process of purchasing, financing, and protecting your vehicle.
That&rsquo;s Nice, But What&rsquo;s the Job?
<div><div>We are seeking a Senior Data Engineer to drive the development and optimization of our data transformation and modeling processes. This role is crucial in ensuring that raw data is transformed into trusted, well-structured, and analytics-ready datasets that empower decision-making across the organization.
As a Senior Data Engineer, you will leverage Snowflake, Python, SQL Server and more to build scalable data models, optimize query performance, and implement data quality best practices. You will partner with and mentor other data engineers and interact directly with analysts and business stakeholders to design and maintain a robust ELT framework, ensuring efficiency, reliability, and governance in our data ecosystem.
Key Responsibilities:
<ul><li>Design, implement, and optimize data models, ensuring they align with business reporting needs and best practices.
</li><li>Collaborate with data engineers to define and enhance ELT pipelines, ensuring efficient data ingestion and transformation.
</li><li>Leverage Artificial Intelligence and other emerging technologies to create innovative, modern data solutions.
</li><li>Use Python to automate data transformations, build quality checks, and optimize Snowflake performance.
</li><li>Support data governance initiatives, including metadata management and lineage tracking.
</li><li>Monitor and improve query performance and cost efficiency within Snowflake.
</li><li>Implement data quality checks, testing frameworks, and documentation to ensure trust in reporting and analytics.
</li><li>Work closely with analysts and business teams to understand data needs and optimize models for self-service analytics.
</li><li>Self-starter with the ability to work independently, collaborate within a team, and engage cross-functionally.
</li></ul>Qualifications:
<ul><li>7+ years of experience in engineering data integrations, analytics engineering, and data modeling.
</li><li>Bachelor's degree in Computer Science, Engineering, or related field.
</li><li>Extensive experience in design and delivery incorporating a strong focus on stability and scalability.
</li><li>Proficiency in working with Snowflake, Kafka, Argo, on-premises SQL Server, and SSIS, along with a solid understanding of cloud-based data technologies.
</li><li>Strong programming skills in languages utilized for data engineering such as Python, SQL, Java, and Scala with experience in scripting, automation, and data manipulation.
</li><li>Excellent communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders.
</li><li>Familiarity with NoSQL and other non-relational concepts, DBT core, Argo and Kafka is a plus.
</li><li>Experience working with BI tools such as Sigma and Tableau is a plus.
</li><li>Strong analytical mindset with excellent problem-solving and communication skills.
</li></ul>This role is ideal for someone who thrives at the intersection of industry-leading innovation and seasoned best practices, ensuring that applications and business teams have access to clean, performant, and well-modeled data.
</div></div>So What About the Perks? Perks matter
<ul><li>Work From Home. Feel free to rock the casual wear while still being camera ready. You will be working from your home office (in an approved city &amp; state) and make sure you have a conducive and quiet workspace with no distractions and reliable and secure internet.
</li><li>Medical, dental, and vision, oh my! DriveTime Family of Brands covers a sizable amount of insurance premiums to ensure our employees receive top-tier healthcare coverage.
</li><li>But Wait, There&rsquo;s More. 401(K), Company paid life insurance policy, short and long-term disability coverage to name a few.
</li><li>Growth Opportunities. You grow, I grow, we all grow! But seriously, DriveTime Family of Brands is committed to providing its employees with every opportunity to grow professionally with roughly over 1,000 employees promoted year over year.
</li><li>Tuition Reimbursement. We&rsquo;re as passionate about your professional development as you are. With that, we&rsquo;ll put our money where our mouth is.
</li><li>Wellness Program. Health is wealth! This program includes self-guided coaching and journeys, cash incentives and discounts on your medical premiums through engaging in fun activities!
</li><li>Gratitude is Green. We offer competitive pay across the organization, because, well&hellip; money matters!
</li></ul><ul><li>Paid Time Off. Not just lip service: we work hard, to play hard ! Paid time off includes (for all full-time roles) wellness days, holidays, and good ole' fashioned YOU time! For our Part-timers, don't fear you get some time too...vacation time is available - the more you work, the more you earn!
</li></ul>Anything Else? Absolutely.
DriveTime Family of Brands is Great Place to Work Certified! And get this: 90% of our rockstar employees say they feel right at home here. We could spend a lot of time having you read about ALL our awards, but we&rsquo;ll save time (and practice some humility) just naming a few others; Comparably Awards: Best Company for Diversity, Best Company Culture and Best Company Leadership, oh and don&rsquo;t forget Phoenix Business Journal Healthiest Employers (okay, we&rsquo;ll stop there)!
Hiring is contingent upon successful completion of our background and drug screening process. DriveTime is a drug-free, tobacco-free workplace and an Equal Opportunity Employer. 
 
And when it comes to hiring, we don't just look for the right person for the job, we seek out the right person for DriveTime. Buckle up for plenty of opportunities to grow in a professional, fun, and high-energy environment!</div>

Adtalem Global Education

<div>Company Description
Adtalem Global Education is a national leader in post-secondary education and leading provider of professional talent to the healthcare industry. Adtalem educates and empowers students with the knowledge and skills to become leaders in their communities and make a lasting impact on public health, well-being and beyond. Through equitable access to education, environments that nurture student success, and a focus on expanding and diversifying the talent pipeline in healthcare, Adtalem is building a brighter future for communities and the world. 
 
Adtalem is the parent organization of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University. 
 
We operate on a hybrid schedule with four in-office days per week (Monday&ndash;Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment. 
 
Visit Adtalem.com for more information and follow us on LinkedIn and Instagram.
Job Description
Adtalem is a data driven organization. The Data Engineering team builds data solutions that powers strategic and tactical business decisions and supports the Analytics and Artificial Intelligence operations. By implementing the data platform, data pipelines and data governance policies this team provides the basis for decision-making in Adtalem. Adtalem is looking for a Senior Data Engineer who design, build, and maintain robust data engineering solutions that support our company&rsquo;s innovation initiatives and growth objectives.<ul><li>
Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets</li><li>
Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth.</li><li>
Design, develop, deploy and support high performance data pipelines both inbound and outbound.</li><li>
Model data platform by applying the business logic and building objects in the semantic layer of the data platform.</li><li>
Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics</li><li>
Optimize data pipelines for performance, scalability, and reliability.</li><li>
Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products.</li><li>
Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root.</li><li>
Document the design and support strategy of the data pipelines</li><li>
Capture, store and socialize data lineage and operational metadata</li><li>
Troubleshoot and resolve data engineering issues as they arise.</li><li>
Develop REST APIs to expose data to other teams within the company.</li><li>
Stay current with emerging technologies and industry trends related to big data, streaming data, and synthetic data generation</li><li>
Mentor and guide junior data engineers.</li></ul>
Qualifications<ul><li>
Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.</li><li>
Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows,BQML, Vertex AI.</li><li>
Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics.</li><li>
Hands-on experience working with real-time, unstructured, and synthetic data, and will be instrumental in advancing our data platform capabilities.</li><li>
Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar.</li><li>
Expert knowledge on Python programming and SQL.</li><li>
Experience with cloud platforms (AWS, GCP, Azure) and their data services</li><li>
Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.</li><li>
Familiarity with synthetic data generation and unstructured data processing</li><li>
Experience in AI/ML data pipelines and frameworks</li><li>
Excellent organizational, prioritization and analytical abilities.</li><li>
Have proven experience working in incremental execution through successful launches.</li><li>
Excellent problem-solving and critical-thinking skills to recognize and comprehend complex data issues affecting the business environment.</li><li>
Experience working in agile environment.</li></ul>
Additional Information
In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $84,835.61 and $149,076.17. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits. 

 
Adtalem offers a robust suite of benefits including:<ul><li>
Health, dental, vision, life and disability insurance</li><li>
401k Retirement Program + 6% employer match</li><li>
Participation in Adtalem&rsquo;s Flexible Time Off (FTO) Policy</li><li>
12 Paid Holidays 

 
For more information related to our benefits please visit: https://careers.adtalem.com/benefits. 

 
You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.</li></ul> 
Equal Opportunity &ndash; Minority / Female / Disability / V / Gender Identity / Sexual Orientation</div>

Credera

<div><div>Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, AI and technology expertise to deliver valuable customer experiences and accelerated growth across various industries. We continuously evolve our services to meet the needs of future organizations and reflect modern best practices. Our unique global approach provides tailored solutions, transforming the most influential brands and organizations worldwide.

Our employees, the lifeblood of our company, are passionate about making an extraordinary impact on our clients, colleagues, and communities. This passion drives how we spend our time, resources, and talents. Our commitment to our people and work has been recognized globally. Please visit our employer awards page: https://www.credera.com/awards-and-recognition.</div>
We are looking for a passionate Data Engineer to add to Data Engineering capability group. Our ideal candidate is excited about being on project-based teams in a client facing roles to architect and implement enterprise data solutions. The data engineer will be part of our team of strategy and technology consultants, contributing to projects focused on data strategy, data science, modern data architecture, data visualization and insights. They are an experienced data pipeline developer who enjoys data wrangling, optimizing data flows, and building solutions for data collection and analysis. They are experienced with developing and deploying cloud-based data solutions. They are team player who is passionate about building team culture. They enjoy a fast-paced environment, solving business problems with the use of data. The data engineer will be comfortable applying their expertise across many use cases in various industries.

QUALIFICATIONS:
<ul>
<li><ul><li>Candidate with 3+ years of experience in a Data Engineering role</li>
<li>Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field</li>
<li>Experience building and optimizing data pipelines and data architecture</li>
<li>Experience with wrangling, exploring, and analyzing data to answer specific business questions and identify opportunities for improvement</li>
<li>Strong project management and organizational skills</li>
<li>Consulting experience is preferred</li>
<li>The ideal candidate will have working knowledge of the following:
<ul><li>Big data tools (e.g. Hadoop, Spark, Kafka, etc.)</li>
<li>Relational SQL and NoSQL databases (e.g. Postgres, MySQL, SQL Server, Cassandra, MongoDB, etc.)</li>
<li>Data pipeline and workflow management tools (e.g. Azkaban, Oozie, Luigi, Airflow, etc.)</li>
<li>Stream-processing systems (e.g. Storm, Spark-Streaming, etc.)</li>
<li>Scripting languages (e.g. Python, Java, C++, Scala, etc.)</li>
<li>Container Orchestration (e.g. Kubernetes, Docker, etc.)</li>
</ul></li><li>Experience with one or more of the following cloud service providers:
<ul><li>AWS cloud services</li>
<li>Google Cloud Platform</li>
<li>Azure cloud services</li></ul></li> 
</ul>
</li></ul>About Us:

Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, and AI and technology expertise to deliver valuable customer experiences and accelerated growth across a broad range of industries worldwide. Our one-of-a-kind global boutique approach means we provide our clients with tailored solutions unique to their organization that can scale due to our extensive footprint. As a values-led organization, our mission is to make an extraordinary impact on our clients, our people, and our community. We believe it is this approach that has allowed us to work with and transform the most influential brands and organizations in the world, from strategy through to execution.

More information is available at www.credera.com. 
We are part of the OPMG Group of Companies, a division of Omnicom Group Inc.

Hybrid Work Model:

Our employees have the flexibility to work remotely two days per week. We expect our team members to spend 3 days per week in person with the flexibility to choose the days and times that work best for both them and their project or internal teams. This could be at a Credera office or at the client site. You'll work closely with your project team to align on how you balance both the flexibility that we want to provide with the connection of being together to produce amazing results for our clients.

The why: We are passionate about growing our people both personally and professionally. Our philosophy is that in-person engagement is critical for our ability to develop deep relationships with our clients and our team members &ndash; it's how we earn trust, learn from others, and ultimately become better consultants and professionals.

Travel : Our goal is to keep out-of-market travel to a minimum and most projects do not require significant travel. While certain projects can require frequent travel (up to 80% for a period of time), our average travel percentage over a year for team members is typically between 10-30%. We try to take a personal approach to travel. You will submit your travel preferences which our staffing teams will take into account when aligning you to a role.

Credera will never ask for money up front and will not use apps such as Facebook Messenger, WhatsApp or Google Hangouts for communicating with you. You should be very wary of, and carefully scrutinize, any job opportunity that asks for money prior to starting and/or one where all communications take place exclusively via chat.<div> 
Learn More: Credera is part of the Omnicom Precision Marketing Group (OPMG), a division of Omnicom Group Inc. OPMG is a global network of agencies that leverage data, technology, and CRM to create personalized and impactful customer experiences. OPMG offers a range of services, such as data-driven product / service design, technology strategy and implementation, CRM / loyalty strategy and activation, econometric and attribution modelling, technical and business consulting, and digital experience design and development.

Compensation: The salary range listed is provided for informational purposes only. Credera treats all applicants as individuals, considering, but not limited to, their professional and academic experience, specialized training, certifications, and associated responsibilities as they relate to our specific industry. The salary range listed is just one component of our total compensation package for each unique employee.

We believe in recognizing and rewarding contributions at every level. While senior-level employees are eligible for a variable component as part of their compensation package, we are committed to supporting the growth and development of all team members. As employees progress in their careers, everyone will have opportunities to take on new responsibilities and become eligible for additional rewards. We strive to create an environment where everyone is empowered to succeed and advance.

Benefits: Credera provides a competitive salary and comprehensive benefits plan. Benefits include health, mental health, vision, dental, and life insurance, prescriptions, fertility and adoption benefits, community service days, paid parental leave, PTO, 14 paid holidays, matching 401(k), Healthcare &amp; Dependent Flexible Spending Accounts, and disability benefits. For more information regarding Omnicom benefits, please visit www.omnicombenefits.com.

Hybrid Working Model: Our employees have the flexibility to work remotely two days a week. We expect team members to spend three days in person, with the freedom to choose the days and times that best suit them, their project, and their teams. You'll collaborate with your project team to balance flexibility with the benefits of in-person connection, delivering outstanding results for our clients. The Why: In-person engagement is essential for building strong relationships with clients and colleagues. It fosters trust, encourages learning, and helps us grow as consultants and professionals.

Travel: For our consulting roles, our goal is to minimize travel, and most projects do not require extensive travel. While some projects may involve up to 80% travel for a period, the annual average for team members is typically 10%&ndash;30%. We take a personal approach to travel by considering your submitted preferences when assigning roles.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sexual orientation, national origin, age, genetic information, veteran status, or disability.

Credera will never ask for money up front and will not use apps such as Facebook Messenger, WhatsApp or Google Hangouts for communicating with you. You should be very wary of, and carefully scrutinize, any job opportunity that asks for money prior to starting and/or one where all communications take place exclusively via chat.</div></div>

<div>Responsibilities:
<div>
Since H-E-B Digital Technology's inception, we've been investing heavily in our customers' digital experience, reinventing how they find inspiration from food, make food decisions, and ultimately get food into their homes. This is an exciting time to join H-E-B Digital-we're using the best available technologies to deliver modern, engaging, reliable, and scalable experiences to meet the needs of our growing audience. 
 
As a Senior Data Engineer, you'll use an advanced analytical, data-driven approach to drive a deep understanding of our fast-changing business and answer real world questions. You'll work with stakeholders to develop a clear understanding of data and data infrastructure needs, resolve complex data-related technical issues, and ensure optimal data design and efficiency. 
 
Once you're eligible, you'll become an Owner in the company, so we're looking for commitment, hard work, and focus on quality and Customer service. 'Partner-owned' means our most important resources-People-drive the innovation, growth, and success that make H-E-B The Greatest Omnichannel Retailing Company. 
 
Do you have a: 
HEART FOR PEOPLE... you're willing to facilitate solutions with multiple engineers, provide upward communication, and mentor others? 
HEAD FOR BUSINESS... you consistently demonstrate and uphold the standards of coding, infrastructure, and process? 
PASSION FOR RESULTS... you're capable of high-velocity contributions in multiple technical domains? 
 
What is the work?</div><ul><li>Architecting, designing, prototyping, testing, and deploying comprehensive end to end data pipelines, marrying data from disparate source systems and serving production grade data sets to analytic consumers</li><li>Performing data validation and code review for data engineer peers</li><li>Interfacing with many types of data sources, including traditional relational databases, NoSQL, and APIs</li><li>Providing production support for pipelines to maintain high uptime and meet SLAs</li><li>Collaborating with Product, Data Science, Business Intelligence, and other stakeholders to collect requirements and provide feedback on data needs</li><li>Mentoring and engaging with junior engineers to provide technical guidance and career development</li><li>Developing automated testing suites for data integrity and pipeline stability</li><li>Modeling enterprise scale datasets of core objects in the HEB Supply Chain space</li><li>Producing documentation, including data dictionaries and runbooks, around the pipelines and datasets created</li><li>Investigating future technologies in the data space which can provide value to the HEB Digital organization</li><li>Maintaining, optimizing, and deploying machine learning models to support Supply Chain initiatives
</li></ul> 
What is your background? 
<ul><li>A related degree or comparable formal training, certification, or work experience</li><li>5+ years of experience related to data engineering</li><li>Experience in Lean Startup or Agile development methodologies</li><li>Experience working in large scale infrastructure, large data sets, and mission critical SLAs</li></ul> 

Do you have what it takes to be an H-E-B Senior Data Engineer? 
<ul><li>Advanced proficiency with Python and SQL</li><li>Understanding of modern big data/data lake architecture and concepts</li><li>Understanding and experience with Massively Parallel Processing (MPP) frameworks, such as Apache Spark or Amazon Athena</li><li>Knowledge of DAG/Job pipeline schedulers such as Airflow or Argo Workflows</li><li>Familiarity with CI/CD processes and tooling such as Argo CI, Gitlab CI, or Jenkins</li><li>Experience working with Data Warehouses such as Teradata, AWS Redshift, or Google BigQuery</li><li>Advanced knowledge of Agile software delivery standards</li><li>Knowledge of business intelligence, analytics and reporting, and application integration
</li><li>Strong working understanding of data modelling best practices and guidelines for various data and analytic platforms</li><li>Strong working understanding of coding standards and design principles / patterns</li><li>Strong prioritization skills</li><li>Strong verbal / written communication and data presentation skills</li><li>Ability to deliver on ambiguous projects with incomplete information</li><li>Ability / willingness to learn new technologies as they emerge</li><li>Ability to calmly work under pressure</li><li>Ability to work a flexible schedule as needed</li><li>Ability to collaborate across multiple work locations</li><li>Ability to work within a team, and willingness to take feedback from peers and mentors</li></ul><div></div><div> 
JDENGINEERING</div></div>

Senior Data Engineer - Supply Chain

CommunityCare

JOB SUMMARY: 
The Senior Data Engineer is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection across organizational teams. The Sr. Data Engineer will support our software engineers, database architects and data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. This position is also expected to provide updates and guidance on data engineering related projects to the Data Governance Committee.
 
KEY RESPONSIBILITIES: 
<ul>
<li>Create and maintain optimal data pipeline architectureto support our next generation of products and data initiatives.</li>
<li>Assemble large, complex data sets that meet functional business requirements.</li>
<li>Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.</li>
<li>Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Oracle, SQL and Azure.</li>
<li>Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.</li>
<li>Provide guidance to other Data Engineers on the team for the purposes of training</li>
<li>Performs other duties as required.</li>
</ul>
QUALIFICATIONS: 
<ul>
<li>Build processes supporting data transformation, data structures, metadata, dependency and workload management.</li>
<li>A successful history of manipulating, processing and extracting value from large disconnected datasets.</li>
<li>Strong project management and organizational skills.</li>
<li>Ability to work both independently and as a team on multiple projects simultaneously.</li>
<li>Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.</li>
</ul>
EDUCATION/EXPERIENCE: 
<ul>
<li>College degree or equivalent experience required.</li>
<li>Minimum six years of related experience developing data pipelines.</li>
<li>Minimum six years supporting data warehouses.</li>
<li>Demonstrated experience preparing analytical reports and developing data models.</li>
<li>Project management skills required.</li>
<li>Willingness to work in a high-tech, continually evolving, innovative environment.</li>
</ul>
CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin

Enterprise Applications - Senior Data Engineer 134-2001

Explore 10000+ Senior data engineer in Person Jobs In Training Jobs In Person Jobs In Person Jobs In Person Jobs In Training Jobs In Training Jobs In United States this September. Find roles across top companies and apply now to boost your career.