ZipRecruiter

Log In

1

After Query Jobs in Oregon (NOW HIRING)

Consumer Direct Care Network

OR

$114K - $137K/yr

... of the after-hours on-call rotation, ensuring critical data systems remain operational and ... query optimization, and performance tuning. * Deep experience in ETL/ELT development and data ...

CONSUMER DIRECT CARE NETWORK

OR · On-site

$114K - $137K/yr

... of the after-hours on-call rotation, ensuring critical data systems remain operational and ... query optimization, and performance tuning. * Deep experience in ETL/ELT development and data ...

next page

Showing results 1-20

All JobsAfter Query JobsAfter Query Jobs in Oregon

After Query information

What is the difference between After Query vs Data Analyst?

AspectAfter QueryData Analyst
Required CredentialsTypically requires a basic understanding of database querying, often with certifications like SQL certificationRequires strong analytical skills, proficiency in SQL, Excel, and data visualization tools, often with a degree in data science, statistics, or related fields
Work EnvironmentPrimarily works in database environments, often within IT or database teamsWorks across departments, analyzing data to support business decisions in various industries
Employer & Industry UsageUsed mainly in IT, database management, and software companiesCommon in finance, marketing, healthcare, and consulting firms

While both roles involve working with data, After Query focuses on executing database queries to retrieve information, whereas Data Analysts interpret and analyze data to provide insights for decision-making.

What are the key skills and qualifications needed to thrive as an After Query, and why are they important?

I'm sorry, but 'After Query' does not appear to be a recognized professional job title. Please provide a valid job title.

How does AfterQuery work?

AfterQuery is a process used in data analysis and search systems to refine or filter results after an initial query. It often involves applying additional criteria or transformations to improve accuracy or relevance, typically using tools like SQL, scripting, or specialized software. This step helps ensure the final output meets specific requirements or standards.

What are some common challenges faced by professionals in After Query roles, and how can they be addressed?

In After Query roles, professionals often encounter challenges such as managing high volumes of post-query follow-ups, ensuring timely and accurate responses, and maintaining clear communication between departments. Balancing multiple requests while adhering to company policies requires strong organizational skills and attention to detail. Building effective workflows and leveraging customer relationship management (CRM) tools can help streamline processes and enhance collaboration with team members, ultimately improving the customer experience.

What are After Query jobs?

After Query jobs typically refer to roles that involve analyzing, interpreting, and acting upon data results obtained after running database queries. These positions are common in data analytics, business intelligence, and IT, where professionals review query outputs to generate reports, provide insights, or inform business decisions. The job may include tasks such as validating data, ensuring query accuracy, and collaborating with stakeholders to communicate findings. Strong analytical skills and proficiency with SQL or other query languages are often required. These roles are vital for organizations that rely on data-driven decision-making.

Which 3 jobs will survive AI?

Jobs in healthcare, such as nurses and physicians, are likely to persist due to the need for human judgment and empathy. Skilled trades like electricians and plumbers will also remain in demand because they require physical work and problem-solving skills that are difficult for AI to replicate. Additionally, roles in education and mental health, including teachers and therapists, will continue to be essential for human interaction and personalized support.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence, cloud computing, or at major tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills, and often leadership roles or equity compensation.
What are popular job titles related to After Query jobs in Oregon? For After Query jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching After Query jobs in Oregon look for? The top searched job categories for After Query jobs in Oregon are:
After Query jobs near you
Infographic showing various After Query job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
IT Data Engineer III

IT Data Engineer III

Consumer Direct Care Network

OR

$114K - $137K/yr

Other

Posted 23 days ago

Consumer Direct Care Network rating

5.3

Company rating: 5.3 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

184th of 235 rated social care providers

Job description

Description & Requirements
Culture Vision at Consumer Direct Care Network

At CDCN, we strive to create aworkplace where everyone issupported and motivated to betheir best; we collaborate onshared goals and celebrate ouraccomplishments.

WE WELCOME YOU INTO A GROWING COMPANY

Consumer Direct Care Network is all about caring for people. Care is at our core, and we strive to live up to it every day. We provide services in 14 states across the USA, and our programs grow every year. We specialize in home and community-based services that support individuals with disabilities and older adults so they can remain in their homes and communities.

JOB SUMMARY
IT Data Engineer III is a senior-level position on the Enterprise Data team, responsible for leading the design, development, and support of complex enterprise data solutions across modern cloud platforms. This role plays a key leadership role in optimizing CDCN's data systems and processes for performance, scalability, and reliability while advancing our technical capabilities with cloud-native technologies. The IT Data Engineer III serves as a technical expert and mentor, guides ad hoc teams, and leads efforts to improve data workflows, architecture, and integration across the organization. This position requires deep technical expertise in Azure data platforms including Fabric and Synapse Analytics, strong collaboration skills, and the ability to communicate effectively with both technical and non-technical stakeholders.

JOB DUTIES
  • Lead initiatives to design, develop, and maintain enterprise data warehouse systems and data integration pipelines used for analysis and reporting, leveraging Azure Fabric, Azure Synapse Analytics, and related Azure data platform technologies.
  • Design and implement scalable ETL/ELT (extract, transform, load) solutions across enterprise systems, leveraging advanced data engineering tools and technologies including Azure Data Factory, Databricks, and serverless data processing platforms.
  • Architect and optimize dimensional data models including fact tables, dimension tables, and slowly changing dimensions to support analytics and reporting requirements.
  • Lead response efforts to stakeholder data needs and system issues, serving as the primary technical contact for complex or escalated requests and ensuring alignment with business requirements and regulatory compliance.
  • Troubleshoot and resolve high-priority issues during regular business hours and as part of the after-hours on-call rotation, ensuring critical data systems remain operational and performing optimally.
  • Guide ad hoc teams in analyzing and improving data processes, system performance, and cost-efficiency through technical innovation, process redesign, and optimization of cloud infrastructure costs.
  • Provide technical mentorship and direction to peers and junior engineers across data projects and ongoing operations, fostering continuous learning and technical excellence.
  • Collaborate with engineers, analysts, and business partners to ensure that solutions align with strategic business goals, regulatory requirements, and industry best practices.
  • Implement and maintain data quality frameworks, validation rules, and monitoring mechanisms to ensure data accuracy, consistency, and reliability across enterprise systems.
  • Lead technical design reviews and code reviews, establishing and enforcing data engineering standards, best practices, and architectural principles.
  • Perform other duties as assigned, including leadership of special projects or enterprise-level initiatives.

QUALIFICATIONS
Education & Experience:
  • Bachelor's degree in Computer Science, Information Technology, Data Analytics, Data Science, Mathematics, or a related field required; equivalent professional experience will be considered.
  • 5-9 years of experience designing, developing, and supporting data platforms and enterprise data warehouse systems in production environments.
  • Proven ability to lead and serve as a technical expert on small to medium-sized projects and cross-functional initiatives.
  • Demonstrated experience mentoring junior engineers and contributing to team technical development.
Core Technical Skills:
  • Expert-level experience with Azure Fabric including lakehouse architecture, notebooks, Delta Lake, data pipelines, and data warehouse design.
  • Deep hands-on experience with Azure Synapse Analytics including dedicated SQL pools, serverless SQL pools, Synapse pipelines, and performance optimization.
  • Expert-level SQL scripting with advanced proficiency in writing complex queries, stored procedures, query optimization, and performance tuning.
  • Deep experience in ETL/ELT development and data pipeline architecture across enterprise systems.
  • Advanced dimensional data modeling expertise including star schema, snowflake schema, fact tables, dimension tables, and slowly changing dimensions.
  • Expert-level experience with cloud data platforms such as Azure (primary), AWS, or Oracle Cloud.
  • Extensive hands-on experience with tools and technologies including Azure Data Factory, Azure Fabric, Azure Synapse Analytics, Databricks, Azure Data Lake Storage Gen2, Azure DevOps, SSMS, and Power BI.
  • Expert-level understanding of data structures and data exchange formats including ANSI X12, JSON, XML, and industry-standard data formats.
  • Proficiency in Python or PySpark for data processing and transformation tasks.
DevOps & Engineering Practices:
  • Strong experience with version control systems (Git) and CI/CD practices for data engineering.
  • Familiarity with infrastructure as code (Terraform, ARM templates, or Bicep).
  • Experience implementing data quality frameworks and automated monitoring/alerting mechanisms.
  • Knowledge of data governance, security best practices, and regulatory compliance requirements.
  • Professional & Interpersonal Skills:
  • Demonstrated ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
  • Strong problem-solving skills, attention to detail, and ability to manage multiple priorities under pressure.
  • Able to work independently or as a team lead, taking full ownership of technical solutions from design through implementation and support.
  • Proven ability to mentor peers and junior engineers, contributing to technical team development.
  • Ability to work effectively on-call and respond to critical production issues with urgency and professionalism.
Machine Learning & AI (Preferred Qualifications):
  • Experience with Azure Machine Learning including model training, deployment, and inference pipelines integrated into data workflows
  • Familiarity with MLOps practices including model versioning, monitoring, retraining workflows, and model governance
  • Understanding of feature engineering and the role of data pipelines in preparing data for machine learning applications
  • Experience with Databricks ML features including MLflow and distributed model training
  • Knowledge of AutoML and automated feature selection tools within the Azure ecosystem
  • Experience implementing model monitoring and performance tracking in production environments
  • Familiarity with responsible AI principles including bias detection, explainability, and ethical AI considerations
  • Understanding of A/B testing frameworks and experimentation workflows in data-driven applications
Other Requirements:
  • Must be able to successfully pass a background screening.
  • Willingness to maintain and expand technical certifications relevant to Azure data platforms.
  • Ability to work flexible and/or extended hours, if needed, to meet the job requirements.
  • Employees must provide their own reliable internet if working a remote/hybrid position

The incumbent typically works in an office environment and uses a computer, telephone and other office equipment as needed to perform duties. The noise level in the work environment is typical of that of an office. Incumbent may encounter frequent interruptions throughout the workday. The employee is regularly required to sit, talk, or hear; frequently required to use repetitive hand motion, handle or feel, and to stand, walk, reach, bend or lift up to 20 pounds. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

What Consumer Direct Care Network employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply