data warehouse 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.
Indiana Applicants: Pursuant to Indiana law, we are providing notice that it is an unlawful employment practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by: (1) refusing to employ an applicant for employment on the basis that the applicant is a veteran of the armed forces of the United States; or (2) refusing to employ an applicant for employment on the basis that the applicant is a member of the Indiana National Guard or a member of a reserve component. Should you feel that you were a victim of discrimination on the basis of veteran status, please let us know at careers@aspca.org. Alternatively, you can file a complaint with the following agencies at any time: Indiana Civil Rights Commission (ICRC) 100 North Senate Avenue, Room N103, Indianapolis, IN 46204; Office: (317) 232-2600 | Toll Free: (800) 628-2909; Hearing Impaired: (800) 743-3333 | Fax: (317) 232-6580; E-mail: icrc@crc.in.gov | Website: www.in.gov/icrc. Equal Employment Opportunity Commission - Indianapolis Field Office; 115 W. Washington Street South Tower Suite 600; Indianapolis, IN 46204; Phone: 463-999-1240; Fax: 317-226-7953; TTY: 1-800-669-6820;ASL Video Phone: 844-234-5122.
Massachusetts Applicants: Per Massachusetts law, we are providing notice that it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</div>

Enterprise Data Warehouse Engineer

MHC Kenworth

Description: 
Murphy-Hoffman Company, LLC is North America’s largest Kenworth truck Dealership and Leasing group. As MHC continues to grow, we have an opening for a Data Engineer. The Data Engineer is responsible for designing and developing data infrastructure to ensure availability of data throughout the organization, as well as implementing systems to integrate (replicate, extract, transform, load) data in batch or near-real-time. The data engineer works with the data architect and business analysts on source-to-target mappings to populate a data warehouse and writes code to transform the data and load it into the target data models. This position is fully in office 5 days a week in Leawood, KS.
 <ul>
<li>Develops, tests, and maintains data pipelines and Extract, Transform, Load activities.</li>
<li>Prepares data for various business use cases including data science, prescriptive and predictive modeling.</li>
<li>Collaborates with the data architect to build and maintain the data systems specified by the data architect’s data framework.</li>
<li>Designs, builds, and implements enterprise data warehouse and/or data lake for data storage and modeling in downstream analytics and reporting.</li>
<li>Creates and maintains data models designed according to best practices which improve performance, flexibility, and accuracy used for analytics and reporting.</li>
<li>Performs other duties as assigned by supervisor.</li>
</ul>
Qualifications: 
<ul>
<li>Bachelor’s degree in Data Management, Data Science, BI Analytics, or related</li>
<li>Proven expertise in data modeling and data transformation</li>
<li>Strong knowledge of database structure systems and data mining</li>
<li>Experience working with Snowflake, Azure Data Factory, Qlik Replicate, SQL, T-SQL, DBT, Microsoft Fabric, Python/PySpark.</li>
<li>Ability to work in a team environment and independently as</li>
<li>Ability to work effectively in fast-paced changing environment and effectively manage multiple priorities within established time</li>
<li>Proven ability to effectively communicate issues and potential resolutions to business units, other team members, project managers, and leaders as necessary.</li>
</ul>
Benefits: 
<ul>
<li>Competitive Salary</li>
<li>Medical, Dental and Prescription Insurance</li>
<li>Disability and Life Insurance</li>
<li>Paid Time Off program</li>
<li>401k and Profit Sharing with Employer Match</li>
<li>Flexible Spending Account</li>
<li>Internal Promotion Opportunities</li>
<li>On the Job Training</li>
</ul>

Data Engineer

Devco Residential Group

<div>
 DevCo is seeking a full-time
 
 Data Engineer
 
 to join our team in
 
 Bellevue, WA
 
 in a hybrid in-office capacity
 
 .
 
 The Data Engineer owns data ingestion, transformation, and warehouse architecture across DevCo&rsquo;s operational and financial systems. This role designs and maintains scalable, production‑grade pipelines that integrate data from third‑party platforms and internal systems, ensuring high‑quality, reliable datasets for analytics, BI, and decision‑making.
 
 
 
 About The Company
 
 
 
 DevCo Residential Group is an integrated development and investment company focused on multi-family communities. Founded in 1994, the company and its affiliates develop, own, and manage over 14,000 affordable and market rate apartment units throughout the United States. Headquartered in Bellevue, Washington, DevCo is one of the largest providers of affordable housing in Washington State.
 
 
 
 Mission
 
 
 
 DevCo Residential Group&rsquo;s mission is to develop, construct and manage high-quality multifamily housing that provides stability, fosters growth and delivers long-term value to our residents and stakeholders.
 
 
 
 Vision
 
 
 
 DevCo&rsquo;s vision is to be a leading developer, builder and manager of quality multifamily housing throughout the western US.
 
 
 
 Values
 
 
 
 <ul>
 <li>
 Quality: We deliver excellence in every aspect of our work.
 </li>
 <li>
 Commitment: We honor our promises with unwavering dedication.
 </li>
 <li>
 Teamwork: We achieve more together through collaboration and respect.
 </li>
 <li>
 Integrity: We uphold the highest ethical standards in all we do.
 
 
 </li>
 </ul>
 
 Pay Details:
 
 $90,000 to $105,000 in annual salary + performance bonus target of 10%
 
 
 
 Schedule:
 
 Monday-Friday 8am-5pm (Hybrid in-office format)
 
 
 
 Benefits Offered
 
 
 
 <ul>
 <li>
 100% company paid medical benefits for employee coverage.
 </li>
 <li>
 100% company paid dental and vision benefits for employee coverage.
 </li>
 <li>
 Healthcare and dependent care flexible spending accounts.
 </li>
 <li>
 Company paid life insurance, AD&amp;D and long-term disability benefits for employee coverage.
 </li>
 <li>
 Best-in-class voluntary insurance benefits.
 </li>
 <li>
 Pre-tax and Roth 401(k) programs with a company match equal to 100% of the first 4% contributed by the employee.
 </li>
 <li>
 Discretionary bonus programs.
 </li>
 <li>
 Eligibility for a 30% housing discount consideration.
 </li>
 <li>
 Employee assistance program (EAP) with 24/7 counseling service
 </li>
 <li>
 Company-sponsored industry training and certifications.
 </li>
 <li>
 3 weeks of paid time off each year.
 </li>
 <li>
 Up to 12 paid holidays each year
 
 
 </li>
 </ul>
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Data Integration &amp; Pipeline Engineering
 </li>
 <li>
 Design, build, and maintain automated data pipelines consuming data via APIs, SFTP, flat files, databases, and third‑party connectors.
 </li>
 <li>
 Own integrations with Yardi, Procore, Smartsheet, Northspyre, HappyCo, and other operational platforms.
 </li>
 <li>
 Implement modern ELT/ETL workflows using orchestration and transformation frameworks.
 </li>
 <li>
 Data Warehouse Architecture
 </li>
 <li>
 Architect and maintain the enterprise data warehouse, including schema design, partitioning strategy, indexing, and performance optimization.
 </li>
 <li>
 Develop layered data models (raw, curated, analytics‑ready) that support enterprise reporting and BI.
 </li>
 <li>
 Data Quality, Reliability &amp; Observability
 </li>
 <li>
 Establish data quality checks, reconciliation rules, freshness monitoring, and anomaly detection.
 </li>
 <li>
 Build logging, alerting, and monitoring to ensure pipeline reliability and SLA adherence.
 </li>
 <li>
 Manage scalability and performance as data volume and usage grow.
 </li>
 <li>
 Documentation &amp; Governance
 </li>
 <li>
 Document data sources, pipeline logic, schemas, lineage, and ownership.
 </li>
 <li>
 Support data governance standards, including security, access controls, and handling of sensitive data.
 </li>
 <li>
 Collaboration
 </li>
 <li>
 Partner closely with the Data Analyst to ensure the warehouse supports semantic modeling and reporting needs.
 </li>
 <li>
 Collaborate with Finance, Development, Construction, Property Management, and Accounting teams to validate business logic and requirements.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 2+ years of experience in data engineering or analytics engineering.
 </li>
 <li>
 Strong SQL skills and experience building production data pipelines.
 </li>
 <li>
 Experience integrating with APIs and third‑party SaaS platforms.
 </li>
 <li>
 Hands‑on experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Azure).
 </li>
 <li>
 Familiarity with orchestration and transformation tools (e.g., Airflow, Prefect, dbt, Fivetran, Stitch).
 </li>
 <li>
 Strong understanding of dimensional and analytical data modeling best practices.
 
 
 </li>
 </ul>
 DevCo Residential Group is an equal opportunity employer.
</div>

Wilson Bank and Trust

<div><div>Data Engineer 
Location: Lebanon, TN 
 
If you&rsquo;re looking for a career where purpose meets opportunity, and where your contributions truly make a difference, Wilson Bank &amp; Trust is the place for you. 
 
ABOUT US 
Working at Wilson Bank &amp; Trust means joining a purpose-driven organization where community impact and professional growth go hand in hand. The commitment to serving communities is matched by dedication to supporting employees&mdash;through recognition, rewards, and opportunities to grow. Inside our walls, you&rsquo;ll find a workplace that reflects the same trusted reputation we&rsquo;ve built since the beginning. Collaboration and servant leadership are at the heart of everything we do, creating an environment where talent is valued and service is elevated. Your voice matters here&mdash;feedback drives decisions on workplace flexibility, transparency, and strategic priorities. 
 
ABOUT THE POSITION 
Picture yourself as the lifeblood that ties everything together&mdash;the communicator, the problem-solver, the bridge between operational teams. In these roles, you handle urgent calls, craft solutions, and ensure that every signal flows correctly so customers receive the right answers at the right time. You&rsquo;re the one who steps in when things get tough, the superhero who keeps the mission on track. If you love variety, collaboration, and the occasional customer interaction, this is your stage. You&rsquo;ll work across teams, solve challenges with a smile, and make sure the entire organization moves as one. 
 
POSITION SUMMARY: 
The Data Engineer II oversees the architecture, engineering, maintenance, integration, and continuous development of the data management program, specifically related to how customer banking data is utilized throughout the Company. This position is responsible for the data architecture, engineering and integrity of the data warehouse. The Data Engineer II is a resource for business units to maintain data integrity and improve efficiencies, scalable frameworks, standards and data best practices while upholding integrity and privacy across the data ecosystem and lifecycle. This position reports to the Director of Data &amp; Analytics and provides excellent service and support to team members and customers while demonstrating the Company values and supporting the mission. 
 
JOB DUTIES AND RESPONSIBILITIES:
</div><ul><li>Oversee the architecture, engineering, maintenance, integration, and continuous development of the data management program, specifically related to how customer banking data is utilized throughout the Company</li>
<li>Responsible for the data architecture, engineering and integrity of the data warehouse</li>
<li>Serve as primary contact for the data warehouse</li>
<li>Coordinate data changes, new data interfaces and assist subject matter expert (SME) administrators as needed</li>
<li>Develop file parameter requirements</li>
<li>Create and transmit various data files to third parties as scheduled and/or required</li>
<li>Serve as primary point of contact for questions regarding data integrity issues</li>
<li>Participate in all data warehouse projects and provide SME support as needed</li>
<li>Serve as a data SME, providing in-depth knowledge regarding systems, interfaces, and vendors that directly support primary business functions</li>
<li>Collaborate with the Applications team to create cohesive approaches to primary systems and ancillary data applications</li>
<li>Address current and emerging needs by utilizing business applications</li>
<li>Collaborate with vendor provided support teams to resolve escalated incidents and problems related to the Bank&rsquo;s data environments</li>
<li>Serve as a technical lead and mentor, providing hands-on engineering, technical design and delivery, leadership, and mentorship with MDM/DQ leading practices, governance, standards, and conventions</li>
<li>Provide technical leadership in evaluating, prototyping, and evolving the MDM framework in relation to the overall data governance strategy</li>
<li>Create and maintain internal and external documentation. Initiate and deliver required information and documentation.</li>
<li>Conduct daily systems analytics to maximize effectiveness</li>
<li>Troubleshoot issues across the Bank&rsquo;s data environments</li>
<li>Assist in supporting metadata based on stakeholder requirements for multiple platforms</li>
<li>Perform data quality audits, identify data collection issues, recommend improvements, and assist with implementing fixes</li>
<li>Assess change proposals and assist in defining support solutions</li>
<li>Maintain data system compliance with banking regulations and internal procedures and processes.</li>
<li>Attend training as requested</li>
<li>Adhere to compliance with all federal bank regulations and laws, including those for consumer protection and the Bank Secrecy Act/Anti-Money Laundering Program</li>
<li>Participate in outside community activities as required</li>
<li>Perform other duties as assigned</li>
</ul><div>REQUIRED QUALIFICATIONS:</div>
<ul><li>High School diploma or GED</li>
<li>Bachelor&rsquo;s degree in relevant field preferred</li>
<li>3 years of relevant experience preferred</li>
<li>Banking experience preferred</li>
<li>Proficient with data warehouse architectures, data management processes, database languages like SQL, Python, DB2, Business Intelligence tools like Cognos, Query, Power BI, and data privacy regulations</li>
<li>Proficient with Microsoft Office and other standard software applications</li>
<li>Ability to work with technical and non-technical users to achieve results in alignment with strategic priorities</li>
<li>Ability to lead and influence discussions across a variety of stakeholders to achieve results and proactively address sources of conflict</li>
<li>Ability to foster a team environment through transparency and collaboration</li>
<li>Must possess interpersonal skills, with the ability to engage diplomatically with stakeholders and communicate changes that may not be aligned with the original expectations</li>
<li>Must be able to work in a fast-paced environment and participate as an independent or team contributor and effectively interact with all types of personalities in dealing with employees and other customers</li>
<li>Must possess excellent organization and communication skills as well as the ability to interact in a helpful and professional manner</li>
<li>Critical thinking and analytical skills required</li>
<li>Excellent time management skills with a proven ability to meet deadlines</li>
<li>High standards for integrity, honesty, professionalism, and work ethic</li>
<li>Commitment to service excellence</li>
<li>Ability to work independently while demonstrating excellent follow through</li>
<li>Demonstrate flexible and efficient time management and ability to prioritize workload</li>
<li>Ability and willingness to work with purpose and a strong sense of urgency</li>
<li>Self-motivated, positive, and enthusiastic</li>
<li>Self-starter with a strong desire to exceed expectations</li>
<li>Maintain confidentiality discretion</li>
<li>Ability to effectively work in collaboration with others to achieve business objectives</li>
<li>Willing to grow and be challenged</li>
</ul>
<div></div><div><div>COMPREHENSIVE BENEFITS &amp; RECOGNITION 
We believe success should be acknowledged and celebrated. That&rsquo;s why we offer an all-inclusive total compensation package, including generous ATO, personal days, sick time, along with unique offerings such as the ability to combine accrued time with short-term disability for 100% pay, and more. Our Employee Assistance Program and Employee Care Fund provide additional support when you need it most. We celebrate achievements through peer-nominated award ceremonies and an interactive digital rewards platform, ensuring employees&rsquo; contributions are recognized companywide.</div>
<div></div><div>GROW WITH US</div>
<div>&ldquo;Grow With Us&rdquo; is more than a slogan&mdash;it&rsquo;s an invitation. Whether partnering with local schools to teach the next generation hands-on financial life lessons through School Bank, exploring diverse career paths through our Banker Academy Program, or investing in yourself through our Employee Stock Purchase program, you&rsquo;ll find opportunities tailored to your interests and ambitions while working for WBT. We invest heavily in development through mentorships, workshops, banking schools, and certifications because when our people grow, our customers thrive.</div></div></div><div></div>

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 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 a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. 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>
 (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
 </li>
 <li>
 You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
 </li>
 <li>
 You develop and maintain data integration 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 define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
 </li>
 <li>
 Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as 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>
 <li>
 (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related technical field.
 </li>
 <li>
 +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
 </li>
 <li>
 +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
 </li>
 <li>
 Experience with Big Data technologies such as Hadoop, Hive, and Spark.
 </li>
 <li>
 Ability to translate organizational goals into technical solutions.
 </li>
 <li>
 Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
 </li>
 <li>
 Proficiency in Python, SQL, and NoSQL.
 </li>
 <li>
 Excellent communication and project management skills.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Computer Science, Data Warehouse, Business Intelligence, Quality Assurance, Project Manager, Technology
</div>

Data Engineer (m/f/d)

Endeavor Health

<div>Hourly Pay Range:
$41.64 - $64.54 - The hourly pay rate offered is determined by a candidate's expertise and years of experience, among other factors.
Position Highlights:<ul><li>
Position: Cloud Data Engineer</li><li>
Location: Skokie, IL / Arlington Heights, IL / Warrenville, IL (choice)</li><li>
Full Time</li><li>
Hours: Monday-Friday, 8:00am - 4:30pm</li><li>
Hybrid Position</li></ul> 
Job Summary:
The Cloud Data Engineer is considered a subject matter expert, involved with all phases of software development from design to implementation to post implementation problem solving. This position is easily able to code, tests, debugs and documents program applications specific to their team. May be required to develop application designs, devise or modify procedures to solve system software or user problems and prepare detailed specifications. This position may be required to mentor peers and provide educational/informational sessions to improve workflows, troubleshooting or system design pertaining to their team. 
 
What you will do:<ul><li>
Assist in designing and implementing scalable cloud data architectures using Snowflake and Azure.</li><li>
Support the setup and configuration of Snowflake environments (warehouses, roles, resource monitors, data sharing).</li><li>
Work with Azure services such as Azure Data Factory, Azure Blob Storage, Azure Data Lake Storage (ADLS), Azure Key Vault, and Azure Active Directory.</li><li>
Collaborate with data engineers to design and optimize ELT/ETL pipelines.</li><li>
Help optimize Snowflake performance (clustering, partitioning, query optimization, warehouse sizing).</li><li>
Assist in implementing role-based access control (RBAC) within Snowflake and Azure.</li><li>
Support data security strategies including encryption, masking, and row/column-level security.</li><li>
Monitor system performance and cost usage in Snowflake and Azure.</li><li>
Support cost optimization strategies and resource scaling.</li><li>
Troubleshoot data load and performance issues.</li><li>
Document architecture designs, data flows, and standards.</li><li>
Collaborate with enterprise architects, data engineers, BI teams, and security teams.</li><li>
Participate in design reviews and contribute to architecture best practices.</li></ul>
What you will need:<ul><li>
Education: 4-year college degree in computer science/information systems preferred or equivalent experience.
</li><li>Experience:
</li><li>4+ years of enterprise data warehouse industry experience</li><li>
2+ years of experience in cloud data engineering or cloud platform support</li><li>
4+ years of experience with data architecture and implementing data warehouse data marts</li><li>
Understanding of cloud networking basics (VNet, private endpoints, firewall rules)</li><li>
Hands-on experience with:<ul><li>
Snowflake (data loading, SQL development, warehouse management)</li><li>
Microsoft Azure (ADF, Blob Storage, IAM concepts)</li></ul></li><li>
Familiarity with CI/CD pipelines and DevOps concepts</li><li>
Informatica Power Center/ Cloud Data Integration experience a plus</li><li>
4+ years of experience in writing complex SQL</li><li>
Strong analytical, problem solving, negotiation, issue resolution and facilitation skills are required</li><li>
Excellent written and verbal communication and decision-making skills</li><li>
Experience and understanding of data sources including 3rd party RDBMS, SQL server and Oracle</li><li>
Experience in QA/QC testing a plus</li><li>
Project management skills a plus</li><li>
Experience working with Research data models like OMOP/CAPriCORN a plus</li><li>
Experience with Business Intelligence tool like Power BI a plus</li><li>
Familiarity with healthcare industry, healthcare information systems is a plus</li></ul>
Benefits (For full time or part time positions):<ul><li>
Incentive pay for select positions</li><li>
Opportunity for annual increases based on performance</li><li>
Career Pathways to Promote Professional Growth and Development</li><li>
Various Medical, Dental, Pet and Vision options</li><li>
Tuition Reimbursement
</li><li>Free Parking</li><li>
Wellness Program Savings Plan
</li><li>Health Savings Account Options</li><li>
Retirement Options with Company Match</li><li>
Paid Time Off and Holiday Pay</li><li>
Community Involvement Opportunities</li></ul>
Endeavor Health is a fully integrated healthcare delivery system committed to providing access to quality, vibrant, community-connected care, serving an area of more than 4.2 million residents across six northeast Illinois counties. Our more than 25,000 team members and more than 6,000 physicians aim to deliver transformative patient experiences and expert care close to home across more than 300 ambulatory locations and eight acute care hospitals &ndash; Edward (Naperville), Elmhurst, Evanston, Glenbrook (Glenview), Highland Park, Northwest Community (Arlington Heights) Skokie and Swedish (Chicago) &ndash; all recognized as Magnet hospitals for nursing excellence. For more information, visit www.endeavorhealth.org.
When you work for Endeavor Health, you will be part of an organization that encourages its employees to achieve career goals and maximize their professional potential.
Please explore our website (www.endeavorhealth.org) to better understand how Endeavor Health delivers on its mission to &ldquo;help everyone in our communities be their best&rdquo;.
Endeavor Health is committed to working with and providing reasonable accommodation to individuals with disabilities. Please refer to the main career page for more information.
At Endeavor Health, we are united by a shared commitment to working together to create a culture of connection and belonging&mdash;each of us bringing different skills and experiences as we deliver safe, seamless, and personal care. Every person, every time. We are committed to fostering an environment where all team members can be their best, learn, and pursue excellence together.
EOE: Race/Color/Sex/Sexual Orientation/ Gender Identity/Religion/National Origin/Disability/Vets, VEVRRA Federal Contractor.</div>

Cloud Data Engineer – EDW

University of California - San Francisco

<div>The EIA Health Finance team is seeking a highly experienced Senior Data Engineer / Data Platform Architect to support, enhance, and evolve OmniView , UCSF Health&rsquo;s enterprise data warehouse for financial analytics.
OmniView is a mission-critical platform supporting budgeting, cost accounting, labor productivity, and service line analytics . This role combines hands-on engineering, production support, and solution architecture , with a strong emphasis on building scalable, sustainable, and agile data and reporting platforms .
The ideal candidate is equally comfortable managing production systems, architecting enterprise solutions, and collaborating with business and technical stakeholders to deliver high-impact analytics.
Healthcare Domain Expertise (Required)
Experience with healthcare data , specifically:
<ul><li>Budgeting and financial planning
</li><li>Cost accounting
</li><li>Labor pro ductivity
</li>Service line analytics 
<li>
</li></ul>Key Responsibilities
1. OmniView Data Warehouse Ownership (Primary Focus)
<ul><li>Support, maintain, and enhance the OmniView enterprise data warehouse
</li><li>Design and optimize data models supporting:
<ul><li>Budgeting &amp; forecasting
</li><li>Cost accounting
</li><li>Labor productivity
</li><li>Service line analytics
</li></ul></li><li>Develop and manage ETL/ELT processes using SQL Server (SSMS), SSAS
</li><li>Ensure high performance, reliability, and data quality
</li><li>Manage version control and deployments using GitHub
</li><li>Partner with finance stakeholders to evolve the platform
</li></ul>2. Production Support &amp; Operations (Critical)
<ul><li>Own production support, monitoring, and maintenance of:
<ul><li>Data pipelines
</li><li>Data warehouse systems
</li><li>Reports and dashboards
</li></ul></li><li>Troubleshoot data issues, performance bottlenecks, and failures
</li><li>Implement monitoring, alerting, and incident response processes
</li><li>Ensure SLAs for critical financial reporting systems
</li><li>Continuously improve system stability and operational efficiency
</li></ul>3. Data Architecture &amp; Platform Design (Key Attribute)
<ul><li>Architect scalable, sustainable, and agile data platforms
</li><li>Work closely with system owners, finance leaders, and stakeholders
</li><li>Translate business needs into cohesive technical solutions
</li><li>Design end-to-end data flows across:
<ul><li>SQL Server ecosystem
</li><li>Microsoft Fabric
</li><li>Databricks
</li><li>BI tools
</li></ul></li><li>Drive modernization of legacy systems
</li></ul>4. Data Engineering &amp; Modern Platforms
<ul><li>Extend OmniView into modern platforms ( Fabric, Databricks )
</li><li>Build scalable data pipelines and integrations
</li><li>Optimize performance and cost efficiency
</li></ul>5. Data Science &amp; Advanced Analytics
<ul><li>Develop models for forecasting and financial insights
</li><li>Apply statistical and machine learning techniques
</li><li>Explore AI / GenAI use cases (e.g., OpenAI)
</li></ul>6. Business Intelligence &amp; Reporting
<ul><li>Develop dashboards using Power BI
</li><li>Enable self-service analytics for finance teams
</li><li>Deliver insights via strong data storytelling</li></ul></div>

Senior Data Engineer / Data Platform Architect

Search 10000+ Data warehouse engineer jobs near you this April. New roles added regularly across leading industries. Apply today.

10000 data warehouse engineer jobs Near Me

Enterprise Data Warehouse Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer (m/f/d)

Cloud Data Engineer – EDW

Senior Data Engineer / Data Platform Architect