data warehousing engineer

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 5268
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 We are seeking for a Data Engineer who will empower sonnen&rsquo;s business with data-driven insights, services and products with the help of sonnen&rsquo;s AWS-based analytics platform and by provisioning data from various sources from within and outside the company.
 
 
 We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 You develop and maintain data analysis processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You collaborate with the business SMEs and stakeholders to understand their data requirements and support their analysis and modeling needs.
 </li>
 <li>
 You adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Gitlab).
 </li>
 <li>
 You stay up-to-date with emerging trends and technologies in data engineering, and assess their potential applications to our business needs.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 You hold a bachelor&rsquo;s degree in Computer Science or a related technical field
 </li>
 <li>
 You have 3+ years of relevant employment experience (Data Scientist, Engineer or Architect)
 </li>
 <li>
 You have experience with data architecture and warehousing solutions (e.g. AWS Redshift, Databricks)
 </li>
 <li>
 You continue to enhance the existing platform, creating the technical foundation for scalable processes. Both data and result quality are important to you.
 </li>
 <li>
 You have good knowledge of Python, Pandas, SQL, NoSQL, RestAPI
 </li>
 <li>
 You are fluent in English. German is a plus.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Computer Science, Quality Assurance, Database, SQL, Technology
</div>

Data Engineer (m/w/d)

GSSTech Group

<div>We are looking for a skilled Data Engineer with strong expertise in PySpark and Data Modeling to join our Data &amp; Analytics team. The ideal candidate will be responsible for building scalable data pipelines, optimizing data workflows, and supporting advanced analytics initiatives.
Key Responsibilities<ul><li>
Design, develop, and maintain scalable data pipelines using PySpark</li><li>
Perform data modeling (conceptual, logical, and physical) for analytics and reporting</li><li>
Build and optimize ETL/ELT workflows for large-scale datasets</li><li>
Work with structured and unstructured data across multiple sources</li><li>
Ensure data quality, integrity, and governance standards</li><li>
Collaborate with data analysts, scientists, and business stakeholders</li><li>
Optimize performance of Spark jobs and data processing systems</li><li>
Support deployment and monitoring of data solutions in production</li></ul>
Required Skills &amp; Qualifications<ul><li>
Strong experience in PySpark and Apache Spark ecosystem</li><li>
Hands-on experience in data modeling (Star Schema, Snowflake, etc.)</li><li>
Proficiency in SQL and database technologies</li><li>
Experience with data warehousing concepts</li><li>
Knowledge of ETL/ELT tools and frameworks</li><li>
Familiarity with cloud platforms (AWS / Azure / GCP) is a plus</li><li>
Understanding of big data technologies (Hadoop, Hive, Kafka, etc.)</li><li>
Strong problem-solving and analytical skills</li></ul>
Preferred Qualifications<ul><li>
Experience in banking/financial services domain</li><li>
Exposure to data governance and data quality frameworks</li><li>
Knowledge of CI/CD pipelines and DevOps practices</li></ul></div>

Data Engineer (PySpark & Data Modeling)

<div>Description
The Work: We are seeking a Data Engineer to support federal government programs by designing, building, and maintaining scalable, secure, and compliant data solutions. This role partners closely with data scientists, analysts, developers, and government stakeholders to enable data-driven decision-making across mission‑critical systems.
Job Location: This is a fully remote role which may require occasional travel to the DC Metro area as needed for onsite client meetings. Preference to candidates located within the Washington, DC Metro area.
If you accept this position, you should note that ICF does monitor employee work locations and blocks access from foreign locations/foreign IP addresses, and also prohibits personal VPN connections.
What You Will Do:<ul><li>
Design, build, and maintain data pipelines and ETL/ELT processes supporting large-scale federal data systems</li><li>
Develop and optimize cloud-based data architectures in AWS or Azure environments (e.g., S3, Redshift, RDS, Databricks, Synapse)</li><li>
Integrate structured and unstructured data from multiple government and third‑party sources</li><li>
Ensure data quality, integrity, availability, and performance across systems</li><li>
Support ATO, RMF, and federal security requirements, including documentation and audit support</li><li>
Collaborate with DevOps teams on CI/CD, infrastructure as code (IaC), and deployment automation</li><li>
Translate business and mission requirements into scalable technical solutions</li><li>
Produce and maintain technical documentation for data flows, pipelines, and architectures</li><li>
Participate in Agile ceremonies and work closely with cross‑functional teams</li></ul>
What You Will Bring With You:<ul><li>
Active Top Secret clearance, with SCI eligibility</li><li>
1+ years of experience designing and supporting enterprise data solutions in federal or regulated environments</li></ul>
What We Would Like You To Bring With You:<ul><li>
Bachelor's Degree in related field</li><li>
Prior experience supporting federal or DoD programs, preferably DCSA</li><li>
Strong experience with relational databases (e.g., Oracle, PostgreSQL, SQL Server, Azure SQL, or similar)</li><li>
Knowledge of data modeling techniques, ETL/ELT processes, and data integration patterns</li><li>
Familiarity with cloud platforms (Azure, AWS, or GCP) and modern data services</li><li>
Experience supporting security, governance, and compliance requirements</li><li>
Experience with data warehousing, reporting, and analytics platforms</li><li>
Familiarity with DevSecOps, CI/CD pipelines, and infrastructure‑as‑code</li></ul>
#DCSA2026
#Indeed
Working at ICF
ICF is a global advisory and technology services provider, but we&rsquo;re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.<div>
We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.
We will consider for employment qualified applicants with arrest and conviction records. 
Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</div><div>
Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.</div><div> 
Candidate AI Usage Policy</div><div><div>
At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.</div><div>
However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.</div></div> 
Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full-time employment is:
$81,499.00 - $138,549.00
Nationwide Remote Office (US99)</div>

Data Engineer (Clearance Required)

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in providing secure, reliable, scalable, and innovative services that help over a million businesses, governments, education, and not for profits across the globe scale and grow! AWS provides a wide set of scalable services to meet customer needs. 
 
At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide ** transformative deals with industry leaders, and Private Pricing Programs &amp; Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with latest technologies and global clients. 
 
The AWS Global Deal Strategy and Programs (GDSP) organization is responsible for the Private Pricing Program. The Private Pricing Analytics and Insights (PPA&amp;I) team owns building scalable analytical solutions that enable the GDSP organization with actionable insights to make data-driven decisions. This role will focus on Data Engineering, and Analytics related to the Private Pricing Program, requiring deep technical skills, strong business acumen and a deep analytical background to provide actionable data-driven insights and decision support. 
 
As a Data Engineer on this team, you will drive efficiency in data handling processes, setup product analytics, drive advanced analysis and build new metrics which are key inputs to improve the health, scale and growth of the Private Pricing Program. You will work collaboratively with the business leaders operations, and engineering teams on many non-standard and unique business problems and support business initiatives by collecting required and related data from external/internal sources. 
 
The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture, not just code. You proactively work to improve the consistency and integration between your team&rsquo;s BI solutions and any related systems or artifacts. 
 
Key job responsibilities 
Design, develop, and maintain scalable data solutions for metrics, reports, analyses, and dashboards that support analytical and business needs 
 
Collaborate with technology teams to extract, transform, and load data from diverse sources using AWS services and internal tools 
Build and deliver high-quality datasets that support data science initiatives and customer reporting requirements 
 
Automate and optimize reporting processes to enable self-service analytics for stakeholders 
Translate business problem statements into technical analysis requirements 
 
Apply analytical and statistical rigor to answer business questions and drive data-driven decisions 
Develop measurement frameworks that quantify customer experience and drive business outcomes 
 
Create queries and visualizations for ad-hoc requests, projects, and ongoing reporting needs 
Write efficient, optimized queries with deep knowledge of data structures and query optimization techniques 
 
Adopt best practices in reporting and analysis including data integrity, design, validation, and documentation 
 
Troubleshoot operational data quality issues and audit existing data pipelines and queries 
 
Recommend improvements to back-end data sources for increased accuracy and simplicity<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data engineering experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 145,300.00 - 196,600.00 USD annually 
USA, TX, Austin - 132,100.00 - 178,800.00 USD annually 
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer, AWS GDSP A&I

Metropolis

<div><h3 class="jobSectionHeader">Who we are</h3>

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy &mdash; a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.
<h3 class="jobSectionHeader">
Who you are</h3>

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.
<h3 class="jobSectionHeader">
What you'll do</h3>
<ul><li>Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets</li>
<li>Design and own data architecture for large-scale projects while managing operational trade-offs</li>
<li>Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains</li>
<li>Define and manage Service Level Agreements (SLAs) for all owned data sets</li>
<li>Implement data security models, ensure privacy compliance, and evolve data governance processes</li>
<li>Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data</li>
<li>Maintain production processes by optimizing complex code using advanced algorithmic concepts</li>
<li>Streamline data artifact development by optimizing pipelines, dashboards, and frameworks</li>
<li>Mentor team members through actionable feedback to foster collective skill growth</li>
<li>Maintain flexibility with availability during evening hours</li>
</ul><h3 class="jobSectionHeader">What we're looking for</h3>
<ul><li>Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field</li>
<li>master's degree is preferred</li>
<li>5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud</li>
<li>5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems</li>
<li>Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt</li>
<li>Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres</li>
<li>Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines</li>
<li>Ability to deliver high standards of code quality, system reliability, and performance</li>
<li>Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments</li>
<li>Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS</li>
</ul><h3 class="jobSectionHeader">While not required, these are a plus:</h3>
<ul><li>Experience with Spark and PySpark</li>
<li>Master's degree in Computer Science, Computer Engineering, or a relevant technical field</li>
</ul>
When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite<div>
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.</div></div>

Senior Data Engineer

ASPCA

<div>Summary:
Overview
The Enterprise Data Warehouse Engineer will play a critical role in designing, building, and maintaining the ASPCA&rsquo;s enterprise data warehouse ecosystem. This role will be part of the Enterprise Data Engineering Operations team, which sits within the broader Product, Data, and Reporting Solutions (PDRS) department. The Engineer will develop and maintain dbt models and data workflows across the medallion architecture, integrate master data management (MDM) workflows into enterprise pipelines, and partner with cross functional stakeholders to support the ASPCA&rsquo;s transition from siloed systems to a centralized enterprise data solution.
Reporting to the Director, Enterprise Data Engineering Operations, the Enterprise Data Warehouse Engineer will ensure that data assets are accurate, performant, reliable, and aligned with organizational standards. The ideal candidate will combine strong technical skills with a collaborative mindset, thriving in a distributed data environment where clarity, consistency, and data quality are essential.
Who We Are
The Information Technology (IT) department supports and improves a broad portfolio of technologies to support our staff. IT ensures that all ASPCA staff, partners, and communities have the systems needed to work effectively and efficiently to improve animal welfare. The sub-teams within IT include Product, Data and Reporting Solutions, Operations and Information Security, Technical Support, Enterprise Architecture, and Business Operations.
What You&rsquo;ll Do
Enterprise Data Warehouse Engineer reports directly to the Director, Enterprise Data Engineering Operations and has no direct reports.
Where and When You&rsquo;ll Work
This remote‑based position (which may require periodic travel as described below) is open to all eligible candidates based within the United States.
What You&rsquo;ll Get
Compensation
Starting pay for the successful applicant will depend on a variety of factors, including but not limited to education, training, experience, location, business needs, internal equity, market demands or budgeted amount for the role. The target hiring range is for new hire offers only, and compensation may increase beyond the maximum hiring range based on performance over time. The maximum of the hiring range is reserved for candidates with the highest qualifications and relevant experience. The expected hiring salary ranges for this role are set forth below and may be modified in the future.<ul><li>
$125,000-$130,000 annually</li></ul> 
For more information on our benefits offerings, visit our website.
Benefits
At the ASPCA, you don&rsquo;t have to choose between your passion and making a living. Our comprehensive benefits package helps ensure you can live a rewarding life at work and at home. Our benefits include, but are not limited to:<ul><li>
Affordable health coverage, including medical, employer-paid dental and optional vision coverage.</li><li>
Flexible time off that includes vacation time, paid personal time, sick time, bereavement time, paid parental leave, and 10 company paid holidays that allows you even more flexibility to observe the days that mean the most to you.</li><li>
Competitive financial incentives and retirement savings, including a 401(k) plan with generous employer contributions &mdash; we match dollar-for-dollar up to 4% and provide an additional 4% contribution toward your future each year.</li><li>
Robust professional development opportunities, including classes, on-the-job training, coaching and mentorship with industry-leading peers, internal mobility, opportunities to support in the field and so much more.</li></ul>
Please note, a cover letter is requested. Applications will be accepted until 5pm ET on Thursday April 16, 2026.
Responsibilities:
Responsibilities 
Responsibility buckets are listed in general order of importance. They include, but are not limited to: 
Medallion Layer Data Modeling and Development<ul><li>
Architect, implement, and maintain dbt models across the medallion architecture, applying appropriate transformation patterns to meet operational, analytical, and dimensional data requirements</li><li>
Integrate MDM workflows and reference data into medallion-layer transformations in alignment with enterprise data governance standards</li><li>
Apply mastered entities, harmonized identifiers, survivorship rules, and standardized reference values to Gold‑layer models as defined by enterprise MDM policies</li><li>
Build data models that power enterprise analytics, reporting, and other downstream uses</li><li>
Implement modeling best practices (e.g., naming conventions, documentation, testing, and lineage tracking) across all layers to ensure dbt models comply with enterprise governance standards and quality, performance, and security requirements</li><li>
Optimize SQL code, dbt transformation logic, and Snowflake compute performance to ensure efficient, scalable pipelines</li></ul> 
Pipeline Orchestration and Operations<ul><li>
Design, build, and maintain robust pipelines that support data ingestion, transformation, and delivery while adhering to engineering standards for well‑structured code, clear documentation, and idempotent processing</li><li>
Implement and maintain scalable job orchestration, monitoring, alerting, automated testing, and error‑handling capabilities</li><li>
Preserve version control for pipeline code artifacts and support CI/CD workflows to ensure reliable deployment of changes</li><li>
Troubleshoot pipeline problems, such as issues with data quality and concerns over data freshness, across Microsoft Fabric, dbt, and Snowflake</li><li>
Conduct root cause analysis and proactively drive pipeline improvements</li></ul> 
Collaboration, Alignment, and Data Quality<ul><li>
Work closely with the Data Management &amp; BI team to align on definitions, requirements, and expectations, ensuring that engineered datasets are accurate, trusted, and analytics‑ready</li><li>
Collaborate with the Strategy &amp; Research team to deliver granular, well‑structured Silver‑layer datasets that support statistical analysis, data science modeling, and operational insights</li><li>
Support enterprise data governance and data quality through strong metadata practices and clear documentation of transformation logic</li><li>
Identify opportunities to improve data workflows, automate processes, and reduce technical debt</li><li>
Participate in code reviews, knowledge-sharing sessions, and team‑wide initiatives that strengthen engineering quality and consistency</li><li>
Contribute to the advancement of the ASPCA's data ecosystem by evaluating emerging tools and technologies</li></ul> 
Qualifications<ul><li> 
Excellent analytical and problem‑solving skills, with a strong commitment to data quality</li><li>
Ability to collaborate effectively with both technical and non‑technical partners</li><li>
Solid written and verbal communication skills, with the ability to clearly convey data and technical concepts</li><li>
Comfortable operating in a highly distributed, cross‑functional environment</li><li>
Skilled at managing multiple priorities, shifting requirements, and changing timelines</li><li>
Demonstrates curiosity, creativity, and a willingness to experiment and learn</li><li>
Takes initiative and works independently while valuing teamwork</li><li>
Welcomes feedback and proactively seeks opportunities to improve systems and workflows</li><li>
Values diversity of thought and embraces an inclusive, collaborative team culture</li><li>
Ability to exemplify ASPCA&rsquo;s core values and behavioral competencies.</li></ul> 
Technical Requirements<ul><li>
Expert‑level proficiency in dbt Core, including advanced model design, macro development, custom tests, documentation practices, performance optimization, and integration with automated deployment pipelines</li><li>
Advanced proficiency with Snowflake, including warehouse configuration, performance tuning, query optimization, cost management, and implementing role‑based access controls</li><li>
Proficiency with Microsoft Fabric (or Azure Data Factory) for pipeline orchestration, monitoring, scheduled or event‑driven workflows, and Lakehouse integration</li><li>
Deep knowledge of data warehousing principles, including dimensional modeling, medallion architecture, and ELT transformation patterns</li><li>
Strong SQL skills required (Python is a plus)</li><li>
Familiarity with Git/GitHub workflows and DevOps CI/CD practices</li><li>
Understanding of data governance, metadata management, and enterprise data quality practices</li></ul>
Additional Information<ul><li>
Must be available for occasional off-hours support for critical data pipelines</li><li>
Some travel to ASPCA locations and training sites (approximately 5% annually) may be required</li></ul>
Language<ul><li> 
English (required)</li></ul>
Education and Work Experience<ul><li> 
High School Diploma or GED (Required)</li><li>
3&ndash;5 years of experience designing and maintaining data warehouse models and transformation workflows required</li><li>
3&ndash;5 years of experience building and maintaining dbt based transformation pipelines across medallion layers required</li><li>
3&ndash;5 years of experience working in a cloud data warehouse environment required (Snowflake strongly preferred)</li><li>
Demonstrated experience applying dimensional modeling and enterprise data modeling practices (e.g., star schemas, SCDs, conformed dimensions)</li><li>
3&ndash;5 years of experience orchestrating data pipelines using Microsoft Fabric, Azure Data Factory, or similar cloud orchestration tools required</li><li>
Experience integrating with commercial Master Data Management (MDM) platforms; Reltio preferred</li><li>
Experience working within structured DevOps workflows, version control, and automated delivery pipelines</li></ul> 
Language:
Education and Work Experience: 
Our EEO Policy: 
The ASPCA is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, national origin, ancestry, gender, gender identity or expression, age, marital or domestic partner status, citizenship status, sexual orientation, disability, genetic information, military or veteran status, or any other characteristic protected by applicable federal, state or local laws, regulations or ordinances.
Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the ASPCA&rsquo;s standard application process, which will ensure an equal employment opportunity without imposing undue hardship on the ASPCA. Please inform the ASPCA&rsquo;s People Team if you need an accommodation in order to complete any forms or to otherwise participate in the application process.
Individuals seeking employment are considered without regards to race, color, creed, religion, sex, national origin, ancestry, gender, gender identity or expression, age, marital or domestic partner status, citizenship status, sexual orientation, disability, genetic information, military or veteran status, or any other characteristic protected by applicable federal, state or local laws, regulations or ordinances.
ASPCA is an Equal Opportunity Employer (M/F/D/V).
About Us: 
The ASPCA was founded in 1866 on the belief that animals are entitled to kind and respectful treatment by humans and must be protected under the law. As a 501(c)(3) not-for-profit corporation with more than two million supporters nationwide, the ASPCA is committed to preventing cruelty to dogs, cats, equines, and farm animals throughout the United States.
The ASPCA is headquartered in New York City, where we maintain a full-service animal hospital, spay/neuter clinic, mobile spay/neuter and primary pet care clinics, a rehabilitation center for canine victims of cruelty, kitten nursery, adoption center, and two community veterinary centers.
The ASPCA also operates programs and services that extend nationwide. We assist animals in need through on-the-ground disaster and cruelty interventions, behavioral rehabilitation, animal placement, legal and legislative advocacy, and the advancement of the sheltering and veterinary community through research, training, and resources.
At the ASPCA, we are committed to fostering a collaborative and compassionate culture and we welcome all voices to contribute to our lifesaving mission. Our staff represent a vast array of backgrounds and diversity dimensions, bringing with them valuable experiences and perspectives. They join the ASPCA to learn, grow, and continually do their best work on behalf of animals. We are inspired by our staff, partners, and the communities we support across the country who work to improve animal lives. We are committed to diversity, equity, and inclusion at the ASPCA because it elevates our organizational culture, aligns with our Core Values, and enables us to move further and faster toward the ASPCA&rsquo;s vision &ndash; that all animals live good lives; valued by society, protected by its laws, and free from cruelty, pain and suffering.
Your Employee Rights Under the Family and Medical Leave Act: 
Pursuant to regulations of the Family and Medical Leave Act (FMLA), we provide this notice to applicants about eligible employees&rsquo; protected leave for certain reasons.
Applicants that are residents of Colorado and Oregon: Per CO Senate Bill 23-058 and ORS 659A.030, we cannot generally request or require any age-related information (i.e., age, DOB, attendance or graduation dates from an educational institution) on an initial employment application; this includes any age-related inquiries through completion of the initial interview. We can require/request additional application materials; if those materials contain any age-related information, an applicant should redact the information before submitting an initial employment application.
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Enterprise Data Warehouse Engineer

Capgemini Government Solutions

<div>Capgemini Government Solutions (CGS) LLC is seeking a highly skilled and experienced Databricks Engineer to collaborate with our cross-functional technical and analytical project team and set up, architect, develop, and test Databricks solutions. The successful applicant will have the opportunity to apply and grow their skillset in project management, people leadership, and solution development in Databricks. This individual will join our Data and AI practice in the DC Metro Area to help our clients to accomplish their mission and achieve their objectives.

At Capgemini, we are committed to our staff&rsquo;s professional development and offer a wide range of training and educational resources. In addition to our internal learning sites, we partnered with Coursera and Degreed to offer our staff the latest courses from academic institutions around the world. We provide education expense reimbursements as well as sponsor seminars, conferences, and certifications. Our practice leaders work with every team member to chart appropriate career paths and goals to ensure that we all stay innovative and transformative, which maximizes our ability to scale up our solutions, keep up with the cutting edge, and bring the art of what&rsquo;s possible to the Federal Government.

Job Responsibilities:

As a Databricks Engineer, you will:
<ul>
<li>Install, configure, and administer Databricks instance, including managing connections and interfaces with external applications and data repositories</li>
<li>Develop and develop Databricks solutions including models, proofs of concept, and prototypes</li>
<li>Collaborate with data scientists to test and validate models and outputs</li>
<li>Implement data transfer between external applications, databases, and Databricks</li>
<li>Optimize performance and cost of pipelines and solutions</li>
<li>Implement logging, monitoring, and data quality checks</li>
<li>Produce technical documentation</li>
<li>Support additional Data and AI practice activities such as demand planning, requirement gathering, delivery-led sales, people development, and solution development</li>
</ul>
Required Qualifications:
<ul>
<li><div><ul><li>U.S. Citizenship is required</li>
</ul><ul><li>Eligible to obtain and maintain a Government Security Clearance</li>
<li>Bachelor&rsquo;s Degree or higher is required, preferably in a relevant field such as information technology, information systems, information management, computer engineering, computer science, data analytics, or data science</li>
</ul><ul><li>Minimum of 6 years of total professional experience</li>
<li>Demonstrated capability in:</li>
<li><ul><li>Hands-on installation, configuration, and administration of Databricks instances</li>
<li>Optimizing performance and cost of Databricks compute resources, workflows, Delta Lake, and APIs</li>
<li>Leveraging Python, R, or SQL to develop data pipelines, ETL processes, data validations or enrichment</li>
<li>Supporting model development in Databricks including extraction of data from relational stores such as PostgreSQL or SQL Server</li>
<li>Coordinating and influencing stakeholders, managing communications in fast-paced operational environments, and managing expectations</li>
</ul></li><li>Excellent verbal and written communication skills</li>
<li>Ability to multi-task and stay flexible in a dynamic work environment</li>
</ul>
Preferred Qualifications/Skills
<ul>
<li>Currently active government security clearance</li>
<li>Databricks certifications</li>
<li>Experience with CSPs (Azure and AWS)</li>
<li>Knowledge of federal regulations (FedRAMP, HIPAA, etc.)</li>
</ul>
</div></li></ul>About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.

Get the future you want | www.capgemini.com

Disclaimer
All qualified applicants will be considered for employment based on their skills, and merit.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is 120k-135k.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.</div>

Databricks Data Engineer

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