Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) — including machine learning (ML), data analytics, automation, natural language processing (NLP), computer vision, and related technologies — to solve real-world problems, improve decision-making, automate repetitive tasks, and deliver intelligent solutions across industries.

Industry: تطوير البرامج
Company Size: ٥١ - ٢٠٠ من الموظفين

YO IT Consulting

Savvy Admin PROD

**Job Type: ** Contractor

**Location: ** Remote

Role Description

If you’re a senior Data Engineer who thrives on precision, systems thinking, and building reliable data foundations, this is a unique opportunity to contribute directly to how the next generation of AI systems reason about data infrastructure, pipelines, and analytics workflows. We’re looking for experienced Data Engineers who understand modern data stacks, ETL/ELT architecture, orchestration, data modeling, warehouse design, quality validation, governance, and production-scale reliability.Your work will help strengthen how AI models reason through complex data engineering scenarios, identify technical errors, and communicate implementation guidance clearly.

Your Profile

- 4+ years of professional experience in data engineering, with significant hands-on work designing, building, and maintaining production-grade data pipelines.

- Deep knowledge of SQL, data modeling, ETL/ELT architecture, orchestration frameworks, warehouse/lakehouse patterns, and modern data stack tools such as dbt, Airflow, Snowflake, BigQuery, Databricks, Fivetran, or similar platforms.

- Strong understanding of distributed data systems, batch and streaming workflows, schema design, data validation, data observability, lineage, and pipeline reliability.

- Proven experience optimizing complex SQL queries, troubleshooting data quality issues, designing scalable transformations, and supporting analytics or machine learning-ready datasets.

- Demonstrated experience in translating ambiguous business or technical requirements into reliable data models, pipeline designs, and implementation plans.

- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Statistics, Engineering, or a related technical field; equivalent professional experience will also be considered.

- Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.

Key Responsibilities

- Evaluate AI-generated answers to data engineering prompts for technical accuracy, completeness, clarity, and real-world feasibility.

- Challenge advanced language models with complex Data Engineer scenarios involving SQL, Python, ETL/ELT design, orchestration, warehousing, data modeling, and pipeline reliability.

- Review and refine AI-generated prompts, responses, rubrics, and reference answers to ensure they reflect senior-level data engineering judgment.

- Provide structured feedback that identifies incorrect assumptions, missing constraints, weak reasoning, inefficient implementations, or unsafe recommendations.

- Shape AI communication standards by helping models explain data architecture, debugging steps, tradeoffs, and implementation patterns clearly and responsibly.

- Support benchmarking efforts by evaluating model performance across realistic data engineering workflows, edge cases, and failure modes.

- Develop and review high-quality examples that demonstrate strong reasoning around pipeline design, data quality checks, data contracts, schema evolution, and system scalability.

Data Engineer – Remote

At AMH, we’re redefining what it means to make a home yours. And we’re doing it with care. Since 2012, we've grown to become a leading owner, operator, and developer of single-family rentals in the nation, recognized as a U.S. News 2024 Best Real Estate Companies to Work For, 2024 Great Place to Work®, America's Most Responsible Companies 2024 by Newsweek and Statista Inc., Fortune's 2023 Best Workplaces in Real Estate™, 2023 Most Loved Workplace®, and Builder100 2023 Top U.S. Homebuilder.
 
Powered by a team of local experts, we manage almost 60,000 rentals across the country, home to about 200,000 people. Our goal is to simplify the leasing experience through professional management and maintenance support, so residents can focus on what’s important to them, wherever they are in life.
 
That’s why we're building a team that understands the power of community. We take care of each other, so that together we can take care of the people that make their home with us. As we expand, we continue to cultivate an inclusive workplace with competitive benefits and growth opportunities. Come build your career with us.
 
AMH refers to one or more of American Homes 4 Rent, American Homes 4 Rent, LP, and their subsidiaries and joint ventures. In certain states, we operate under AMH Living or American Homes 4 Rent. Please see www.amh.com/dba to learn more.
 
As a publicly traded company, we're listed on the New York Stock Exchange as AMH.

Industry: Real Estate
Company Size: 1,001-5,000 employees

Since 2012, we've grown to become one of the leading single-family rental companies and homebuilders in the country, recently recognized as a top employer by Fortune and Great Place To Work®.  At AMH, our goal is to simplify the experience of leasing a home through professional management and maintenance support, so our residents can focus on what really matters to them, wherever they are in life.

The **Senior Data Engineer ** is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and analysis of large data sets. Develops and maintains scalable data pipelines, ensures data quality, and deploys machine learning models to production. Collaborates with business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization. Builds real-time and batch pipelines to handle large volumes of data efficiently. Collaborates with cross-functional teams and translate business requirements into scalable data solutions.

**Responsibilities: **

- Design, develop, and maintain real-time or batch data pipelines to process and analyze large volumes of data. Designs and develops programs and tools to support ingestion, curation, and provisioning of complex first party and third-party data to achieve analytics, reporting, and data science. Design and develop Advanced Data Products and Intelligent API’s. Monitors the system performance by performing regular tests, troubleshoots, and integrates new features.

- Lead in analysis of data and the design the data architecture to support BI, AI/ML and data products.

- Designs and implements data platform architecture to meet organization analytical requirements. Ensures the solution designs address operational requirements such as scalability, maintainability, extensibility, flexibility, and integrity.

- Provide technical leadership and mentorship to team members. Leads peer development and code reviews with focus on test driven development and Continuous Integration and Continuous Development (CICD).

**Requirements: **

- Bachelor’s degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required.

- Master’s degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field preferred.

- Minimum of eight (8) years of experience as a data engineer with full-stack capabilities

- Minimum of ten (10) years of Experience in programming

- Minimum of five (5) years in Cloud technologies like Azure, Aws or Google.

- Strong SQL Knowledge

- Experience in ML and ML Pipeline a plus

- Experience in real-time integration, developing intelligent apps and data products.

- Proficiency in Python and experience with CI/CD practices

- Strong background in IAAS platforms and infrastructure

- Hands-on experience with Databricks, Spark, Fabric, or similar technologies

- Experience in Agile methodologies

- Hands-on experience in the design and development of data pipelines and data products

- Experience in developing data ingestion, data processing, and analytical pipelines for big data, NoSQL, and data warehouse solutions.

- Hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.

- Extensive experience in Big Data technologies such as Apache Spark and streaming technologies such as Kafka, EventHub, etc.

- Extensive experience in designing data applications in a cloud environment.

- Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure.

- Extensive experience in Data Architecture and data modeling

- Expert in data analysis and data quality frameworks.

- Knowledgeable with BI tools such as Power BI and Tableau.

- May occasionally work evenings and/or weekends.

**Compensation**

The anticipated pay range/scale for this position is $122,573.13 to $151,395.00 Annually. Actual starting base pay within this range will depend on factors including geographic location, education, training, skills, and relevant experience.

**Additional Compensation**

This position is eligible to receive a discretionary annual bonus.

Perks and Benefits

Employees also have the opportunity to participate in medical, dental and vision insurance; flexible spending accounts and/or health savings accounts; dependent savings accounts; 401(k) with company matching contributions; employee stock purchase plan; and a tuition reimbursement program. The Company provides 9 paid holidays per year, and, upon hire, new employees will accrue paid time off (PTO) at a rate of 0.0577 hours of PTO per hour worked, up to a maximum of 120 hours per year.

Background Check

Background check required. AMH will consider for employment qualified applicants with arrest or conviction records in accordance with all applicable federal, state and local laws, which may include the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

**CA Privacy Notice: **To learn more about what information we collect when you apply for a job, and how we use that information, please see our CA Job Applicant Privacy Notice found at https://www.amh.com/ca-privacy-notice.

Senior Data Engineer

DISQO is the most trusted experience platform that fuels brand growth. Businesses trust DISQO to power better decisions for every customer, touchpoint, and outcome. DISQO’s insights, agile testing and advertising measurement products are powered by millions of consumers on the industry’s largest opt-in consumer data platform. DISQO is recognized in Deloitte’s Fast 500 and Ad Age’s Best Places to Work, and is a Top 100 Next Gen Workplace.

Industry: Software Development
Company Size: 201-500 employees

DISQO

DISQO’s mission is to build the world’s most trusted ad measurement platform that fuels brand growth.

The world’s largest brands, agencies, and media companies trust DISQO for expert insight and AI-driven intelligence about their advertising performance across all platforms. We capture people’s sentiments and journeys, connecting them with the brands they value and the media they consume. With this identity-based approach, brands gain more accurate and authentic insight so they can create more meaningful interactions.

Joining DISQO Nation means becoming part of a community that champions speed, innovation, and continuous growth. We invest deeply in our talent, empowering our teams to reach their highest potential. Together, we are shaping the future of work at DISQO—defined by performance, purpose, and impact.

We show up each day with curiosity and ambition, committed to learning, accelerating growth, and making a lasting difference. Grounded in our values and principles, we lead and collaborate to elevate performance, accountability, and excellence at every level of the organization. And through it all, we make sure to have fun along the way.

This is a great opportunity to join a high-impact data engineering team building products that directly power how brands measure advertising effectiveness. At DISQO, we use modern cloud infrastructure, scalable data platforms, and pragmatic engineering practices to solve complex, real-world problems at scale.

We are looking for a strong Data Engineer who is hands-on, curious, and eager to grow. You’ll work closely with staff engineers, product managers, and analytics partners in an environment that values ownership, quality, and continuous improvement. You’ll be encouraged to leverage modern tooling, including AI-assisted development tools, to move faster while maintaining high engineering standards.

We believe the best systems are built by small, focused teams that take responsibility for outcomes. We value clean design, data correctness, operational excellence, and thoughtful use of automation to reduce toil and improve developer productivity.

As a Data Engineer, you will design, build, and operate data pipelines and data products that support DISQO’s ad measurement platform. You’ll work primarily on batch and near-real-time data processing systems, contributing to analytics-ready datasets used by internal teams and customers.

You’ll own well-defined components and projects end-to-end, from development through production support, while receiving guidance and technical mentorship from senior engineers. Over time, you’ll deepen your expertise across distributed data systems, cloud infrastructure, data modeling, containerized workloads, and modern development workflows, including effective use of AI tools to accelerate development and debugging.

**What you get to do:**

- Design, build, and maintain scalable, reliable data pipelines using modern big data technologies

- Contribute to core ad measurement data products, including exposure processing, aggregation, and analytics-ready datasets

- Collaborate with Product, Analytics, and Engineering partners to translate business requirements into robust data solutions

- Implement and optimize ETL/ELT workflows with a focus on data correctness, performance, and cost efficiency

- Develop, deploy, and operate data workloads running on Kubernetes, including Amazon EKS

- Write clean, well-structured, and well-tested production code in Scala

- Leverage AI-assisted development tools (for example code generation, refactoring, test creation, and debugging support) responsibly to improve productivity and code quality

- Implement data quality checks, monitoring, and alerting to support operational excellence and meet SLAs

- Participate actively in code reviews, design discussions, and agile ceremonies

- Maintain clear documentation to support data governance, onboarding, and long-term maintainability

**What you bring to the role:**

- 3 to 5+ years of experience building and supporting production data pipelines or backend data systems

- Strong proficiency in Scala for data-intensive applications

- Hands-on experience with Apache Spark for batch and streaming data processing

- Experience working in the AWS data ecosystem (for example S3, EMR, Glue, Athena)

- Working knowledge of Kubernetes concepts and experience deploying or operating workloads on Amazon EKS

- Solid understanding of ETL/ELT concepts, data modeling, and advanced SQL

- Experience with workflow orchestration tools such as Airflow or similar

- Familiarity with distributed systems and working with large-scale datasets

- Comfortable working in a Linux-based environment

- Strong collaboration and communication skills in an agile, fast-moving team

- Demonstrated ability to learn new tools and technologies, including AI-powered developer tools for coding and testing

**Nice to have:**

- Experience with containerization and Docker-based development workflows

- Experience with Snowflake or other cloud data warehouses

- Exposure to streaming or near-real-time systems (Kafka, Kinesis, etc.)

- Experience with data quality, observability, or monitoring tooling

- Familiarity with CI/CD pipelines for data platforms

- Experience in AdTech or digital advertising platforms

**Why DISQO:**

- Build data products that directly influence how brands measure advertising impact

- Work with modern cloud-based data infrastructure at meaningful scale

- Learn from experienced engineers while owning real production systems

- A culture that values engineering excellence, pragmatism, and continuous learning

At DISQO, we pride ourselves on having a positive, performance-oriented workplace that includes a flexible hybrid approach, competitive medical benefits, and an amazing vacation policy. Read more about our culture on Glassdoor.

You can learn more about what’s happening at DISQO by visiting the DISQO Company Blog.

Perks & Benefits:

- 100% covered Medical/Dental/Vision for employee, competitive dependent coverage

- Stock options

- 401K

- Generous PTO policy

- Team offsites, social events & happy hours

- Life Insurance

- Health FSA

- Commuter FSA (for hybrid employees)

- Catered lunch and fully stocked kitchen

- Paid Maternity/Paternity leave

- Disability Insurance

- Travel Assistance Program

- 24/7 Counseling Services offered to Employees

**Note: The benefits noted above are for full time US based employees only.**

DISQO is an equal opportunity employer. Discovery, innovation, and growth are possible when we open ourselves to new possibilities, perspectives, and approaches. That’s why, at DISQO, we welcome, support, and empower individuals from diverse backgrounds. Exceptional teams are rooted in extraordinary people, each with a unique story and a compelling set of skills. DISQO does not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.

- Recruiting firms that submit resumes to DISQO without first entering into a written contract will not be entitled to any compensation on candidates referred by that firm

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Data Engineer

At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com.

PwC: Audit and assurance, consulting and tax services
PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.

Industry: Professional Services
Company Size: 10,001+ employees

**Specialty/Competency: **Data, Analytics & AI

**Industry/Sector: **Not Applicable

**Time Type: **Full time

**Travel Requirements: **Up to 80%

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength.

**Skills**

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

- Lead in line with our values and brand.

- Develop new ideas, solutions, and structures; drive thought leadership.

- Solve problems by exploring multiple angles and using creativity, encouraging others to do the same.

- Balance long-term, short-term, detail-oriented, and big picture thinking.

- Make strategic choices and drive change by addressing system-level enablers.

- Promote technological advances, creating an environment where people and technology thrive together.

- Identify gaps in the market and convert opportunities to success for the Firm.

- Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements.

The Opportunity

As part of the Data and Analytics team you can manage the development of AI and GenAI solutions, including analytical modeling and integration. As a Director, you can set the strategic direction and lead business development efforts, making significant decisions and overseeing multiple projects while maintaining executive-level client relations. This role involves managing global data and analytics teams, facilitating executive-level presentations, and guiding the development of AI/GenAI architectures for clients.

**Responsibilities**

-  Guide the strategic direction for AI and GenAI solution development

-  Develop and refine AI/GenAI architectures for client needs

-  Foster collaboration across data and analytics teams

-  Align with client objectives and industry standards

-  Promote technological advancements in data-driven solutions

What You Must Have

-  Bachelor's Degree

-  10 years of experience

What Sets You Apart

-  Master's Degree preferred

-  Managing AI and GenAI solution development teams

-  Experience in Energy and Utilities Industry

-  Documenting and analyzing business processes for AI

-  Designing AI/GenAI architectures for plugin-based solutions

-  Managing global data and analytics team operations

-  Leading development of proof of concepts and pilots

-  Facilitating executive level presentations on GenAI solutions

-  Managing GenAI application development teams

-  Experience with Python, LLM frameworks, and cloud platforms

The salary range for this position is: $155,000 - $410,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

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.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

AI & GenAI Data Scientist - EUR- Director

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