1

Azure Data Factory Contract Jobs in Portland, OR

Sr. Data Operations Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... Azure services such as Databricks, Data Factory, Data Lake, SQL Server, and Power BI. This role requires close coordination with business stakeholders, data engineers, ML engineers, and BI engineers ...

Sr. Data Operations Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... Azure services such as Databricks, Data Factory, Data Lake, SQL Server, and Power BI. This role requires close coordination with business stakeholders, data engineers, ML engineers, and BI engineers ...

Sr. Data Operations Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... Azure services such as Databricks, Data Factory, Data Lake, SQL Server, and Power BI. This role requires close coordination with business stakeholders, data engineers, ML engineers, and BI engineers ...

... Azure Data Factory, or Databricks * Experience with SQL or JavaScript * 3+ years of experience leading or coaching integration consultants The wage range for this role takes into account the wide ...

This contract role will focus on improving data connectivity, optimizing reporting capabilities ... Experience with cloud data platforms and migration initiatives (Azure, AWS, or similar) * Strong ...

... and data loss prevention (DLP) policies. * Ensure naming conventions, version control, and release pipelines using Azure DevOps or Git. * Define and enforcesecurity, authentication, and ...

... energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today ... Semiconductor Manufacturing Expansion & Factory Operations Reports To: Senior Manager, Facilities ...

Support day-to-day factory and supply chain operations as well as longer-range planning activities ... Use data and reporting to provide insights, evaluate options, and improve decision-making. * Help ...

Showing results 21-40

Azure Data Factory Contract information

See Portland, OR salary details

$11

$61

$84

How much do azure data factory contract jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for azure data factory contract in Portland, OR is $61.94, according to ZipRecruiter salary data. Most workers in this role earn between $56.11 and $69.62 per hour, depending on experience, location, and employer.

What is an Azure Data Factory contract?

An Azure Data Factory contract job involves working on a temporary or project-based basis to design, develop, and maintain data integration solutions using Microsoft Azure Data Factory. Contractors are typically responsible for building data pipelines, orchestrating data workflows, and ensuring data is efficiently moved and transformed across various sources. These professionals work with cloud-based data services, often collaborating with teams to implement ETL (Extract, Transform, Load) processes. Contract roles may be short-term or extend over several months, depending on project requirements.

What are the key skills and qualifications needed to thrive as an Azure Data Factory contractor?

To thrive as an Azure Data Factory Contractor, you need strong experience in data integration, ETL processes, SQL, and cloud-based data services, often supported by a degree in computer science or related field. Familiarity with Azure Data Factory, Azure Synapse Analytics, Power BI, ADF pipelines, and relevant Microsoft certifications like Azure Data Engineer Associate are typically required. Excellent problem-solving, communication, and project management skills enable collaboration and effective delivery of complex data solutions. These skills ensure robust, scalable data integration workflows that meet business needs and drive success in cloud data projects.

What are some common challenges faced by Azure Data Factory contractors and how can they be addressed?

Azure Data Factory contractors often encounter challenges such as integrating diverse data sources, managing complex data pipelines, and ensuring data security within client environments. To address these, it's important to stay updated on Azure's latest features, maintain clear documentation for data flows, and communicate regularly with stakeholders to align on data requirements. Additionally, leveraging built-in monitoring tools and collaborating with in-house IT teams can help ensure that solutions are robust and scalable.

What is the difference between Azure Data Factory Contract vs Azure Data Engineer?

AspectAzure Data Factory ContractAzure Data Engineer
CredentialsAzure certifications, data integration skillsAzure certifications, data engineering, SQL, ETL skills
Work EnvironmentProject-based, client sites, cloud platformsIn-house or consulting, cloud and on-premises environments
Industry UsageData integration projects, cloud migrationData pipeline development, data architecture
Search IntentContract roles involving Azure Data FactoryFull-time or contract roles as Azure Data Engineer

Azure Data Factory Contract roles focus on short-term projects involving data integration using Azure Data Factory, often requiring specific certifications. Azure Data Engineers have broader responsibilities in designing and maintaining data pipelines and architectures, with similar certifications but a wider skill set. Both roles are vital in cloud data solutions but differ mainly in scope and employment type.

What are the most commonly searched types of Azure Data Factory jobs in Portland, OR?

The most popular types of Azure Data Factory jobs in Portland, OR are:

What are popular job titles related to Azure Data Factory Contract jobs in Portland, OR?

For Azure Data Factory Contract jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Azure Data Factory Contract jobs in Portland, OR look for?

The top searched job categories for Azure Data Factory Contract jobs in Portland, OR are:

Infographic showing various Azure Data Factory Contract job openings in Portland, OR as of June 2026, with employment types broken down into 1% As Needed, 19% Full Time, 62% Part Time, 2% Temporary, and 16% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $128,826 per year, or $61.9 per hour.

Sr. Data Operations Engineer

Concora Credit Inc.

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Concora Credit rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Overview

As our Sr. Data Operations Engineer, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day.

The impact you'll have at Concora Credit:

As a Sr. Data Operations Engineer, you ensure the reliability, stability, and operational excellence of Enterprise Data and ML/AI platforms. You'll be responsible for supporting end-to-end Data Operations, including ETL/ELT pipelines, reporting and dashboarding workloads, advanced analytics and machine learning workflows, ensuring they run consistently and efficiently across Azure services such as Databricks, Data Factory, Data Lake, SQL Server, and Power BI. This role requires close coordination with business stakeholders, data engineers, ML engineers, and BI engineers to deliver accurate, timely datasets and reports that align with business needs. You'll also provide operational support for Fivetran, MOVEit Automation, GoAnywhere, and enterprise file movement processes.

We hire people, not positions. That's because, at Concora Credit, we put people first, including our customers, partners, and Team Members. Concora Credit is guided by a single purpose: to help non-prime customers do more with credit. Today, we have helped millions of customers access credit. Our industry leadership, resilience, and willingness to adapt ensure we can help our partners responsibly say yes to millions more. As a company grounded in entrepreneurship, we're looking to expand our team and are looking for people who foster innovation, strive to make an impact, and want to Do More! We're an established company with over 20 years of experience, but now we're taking things to the next level. We're seeking someone who wants to impact the business and play a pivotal role in leading the charge for change.

Responsibilities

As our Sr. Data Operations Engineer, you will:

  • Manage and monitor ETL/ELT pipelines, analytics reporting jobs, ML workflows across Azure services, ensuring SLA compliance and the timely resolution of Incidents, failures, and performance bottlenecks.
  • Proactively monitor platform health, performance, and SLAs using Databricks monitoring, logging, and alerting, to minimize downtime and data issues.
  • Perform root cause analysis and implement long-term fixes that prevent recurring issues and improve overall operational reliability.
  • Contribute to platform automation, CI/CD for data/ML pipelines, infrastructure as code, and disaster recovery planning.
  • Partner with data engineers, ML engineers, and BI engineers to troubleshoot issues, implement improvements, automate operations, and drive continuous enhancement of data/ML platform reliability.
  • Provide operational support for MOVEit Automation, GoAnywhere, and secure file transfer processes.
  • Operate and support Fivetran for data ingestion, ensuring connector health, sync reliability.
  • Manage Tokenization processes to ensure secure handling of sensitive data, including tokenization, detokenization, and compliance with PCI.
  • Audit PCI controls regularly to maintain compliance.
  • Develop and maintain code enhancements, automation scripts that support both data engineering and operational needs.
  • Provide after-hours support for critical systems and applications.
  • Develop and maintain documentation, runbooks, and operational standards.

These duties must be performed with or without reasonable accommodation.

We know experience comes in many forms and that many skills are transferable. If your experience is close to what we're looking for, consider applying. Diversity has made us the entrepreneurial and innovative company that we are today.

Qualifications

Requirements:

  • 5-7 years of experience in Data Operations, ML Operations, or Data Engineering roles.
  • Extensive hands-on experience with Azure Databricks with Unity Catalog, ADF, ADLS
  • Strong experience in SQL, Python, and PySpark
  • Experience working in regulated environments (Finance etc.)
  • Familiarity with secure file transfer tools.
  • Experience with monitoring tools (Azure Monitor, Log Analytics, etc.)
  • Solid understanding of data warehousing, ETL/ELT, and data modeling best practices.
  • Experience with version control and CI/CD pipelines (Azure DevOps, GitHub, etc.)
  • Knowledge of RBAC, data security, and governance in cloud environments.
  • Knowledge of Spark performance tuning, partitioning, and job orchestration.
  • Bachelor's or Master's degree (or equivalent) in Computer Science or related field.

Soft Skills:

  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration abilities across technical and non-technical teams.
  • Ability to work independently in a fast-paced, agile environment.
  • Passion for delivering clean, high-quality, and maintainable code.

What's In It For You:

  • Medical, Dental and Vision insurance for you and your family
  • Relax and recharge with Paid Time Off (PTO)
  • 6 company-observed paid holidays, plus 3 paid floating holidays
  • 401k (after 90 days) plus employer match up to 4%
  • Pet Insurance for your furry family members
  • Wellness perks including onsite fitness equipment at both locations, EAP, and access to the Headspace App
  • We invest in your future through Tuition Reimbursement
  • Save on taxes with Flexible Spending Accounts
  • Peace of mind with Life and AD&D Insurance
  • Protect yourself with company-paid Long-Term Disability and voluntary Short-Term Disability

Concora Credit provides equal employment opportunities to all Team Members and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Employment-based visa sponsorship is not available for this role.

Concora Credit is an equal opportunity employer (EEO).

Please see the Concora Credit Privacy Policy for more information on how Concora Credit processes your personal information during the recruitment process and, if applicable, based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact caprivacynotice@concoracredit.com.

Employment Type: FULL_TIME

What Concora Credit employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom