2

Remote Azure Synapse Analytics Jobs in Oregon (NOW HIRING)

The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics ... Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work ...

Developer

Portland, OR · On-site +1

E ● Analyze complex data issues, troubleshoot system errors, and perform root-cause analysis to ... Cloud environments (AWS/Azure) and data tools (Python, Workato, Airflow, Git). ● Modern web ...

Developer

Portland, OR · On-site +1

$40 - $45/hr

E ● Analyze complex data issues, troubleshoot system errors, and perform root-cause analysis to ... Cloud environments (AWS/Azure) and data tools (Python, Workato, Airflow, Git). ● Modern web ...

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... Analyze product performance data to identify areas for improvement and make recommendations for ...

Data Engineer - AI

$101K - $132K/yr

Perform data analysis and identify any issues. * Work with other groups such as Engineering team ... Azure, Hadoop, Spark, Snowflake etc.). * 3+ years of working knowledge of cloud (AWS, Azure, GCP ...

Sr. Site Reliability Engineer

OR · On-site +1

$57 - $75.75/hr

Remote arrangements may be considered for exceptional candidates, with occasional travel to ... Use AI-assisted analysis to accelerate root-cause investigation, enrich incident context, and ...

With relentless innovation in precise positioning, modeling and data analytics, Trimble enables ... Deep proficiency in Cloud environments, specifically Microsoft Azure Cloud and integration ...

In addition to being certified in Azure and Microsoft 365 Fundamentals, the MSS actively ... Produces cost analysis, product quotes and pricing visibility for Enterprise Agreements in ...

Site Reliability Engineer II

OR · On-site +1

$57 - $75.75/hr

Excellent problem-solving and analytical skills. * Strong sense of ownership on incident handling ... Azure) is a plus. * Previous SRE experience a plus #LI-Remote

Lead Automation Engineer

$102K - $134K/yr

Lead Automation Engineer Remote Company Overview: AMSURG is an independent leader in ambulatory ... Analyze business requirements specification, then translate into functional specifications. * Write ...

Senior Software Engineer, White Label Platform

OR · On-site +1

$122K - $161K/yr

Experience with cloud platforms (AWS, GCP, Azure) and deploying applications in a cloud native ... Remote Travel requirements As a digital first company, the majority of your work can be ...

About the role * Engage with our customer's technical teams to analyze and understand current ... Remote within the US, near a major airport as travel is roughly 25% throughout the calendar year.

Senior Program Manager, AI & Data

OR · On-site +1

$115K - $116K/yr

Deep experience with multi-workstream initiatives (ideally data platforms, analytics, cloud, AI/ML ... Prior experience leading remote, multi-geo teams strongly preferred; Bachelor's degree or ...

Strong analytical thinking and problem-solving skills. * Excellent communication and collaboration ... Exposure to cloud computing platforms such as AWS, Azure, or Google Cloud. * AWS or other cloud ...

... and analytics. The Product Metrics system is specifically designed to prioritize delivery ... Experience with at least one of the major Cloud Service Providers such as AWS, GCP or Azure

(Canada) Principal ML System Engineer

OR · On-site +1

$176K - $195K/yr

Extensive experience with cloud platforms (AWS, Azure, and/or GCP), containerization, and ... AJ1 #LI-remote $176,000 - $195,000 a year At PointClickCare, base salary is one of the many ...

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a ... Azure OpenAI / Azure AI Services, AWS Bedrock, Google Vertex AI * Experience with modern AI ...

Showing results 41-60

Remote Azure Synapse Analytics information

What is a remote Azure Synapse Analytics professional?

A Remote Azure Synapse Analytics professional is an expert who works with Microsoft Azure Synapse Analytics—a cloud-based analytics service—while working remotely, often from home or another location outside of a traditional office. Their responsibilities typically include designing, developing, and managing data integration, analytics, and big data solutions using Synapse. They collaborate with data engineers, data scientists, and business stakeholders to deliver insights and ensure the efficient processing of large datasets. Remote professionals use cloud tools to access resources and communicate with teams, making location flexibility possible.

What are the key skills and qualifications needed to thrive as a remote Azure Synapse Analytics professional?

To thrive as a Remote Azure Synapse Analytics professional, you need strong expertise in data engineering, SQL, data warehousing concepts, and a solid understanding of Azure cloud platforms, often supported by a degree in computer science or a related field. Familiarity with tools such as Azure Synapse Studio, Power BI, Azure Data Factory, and relevant Microsoft certifications like Azure Data Engineer Associate is typically required. Excellent problem-solving abilities, strong communication skills, and the ability to work independently are crucial soft skills for this remote role. These competencies are vital for efficiently designing, implementing, and managing data solutions that drive business intelligence and decision-making in a distributed work environment.

What are some common challenges faced by professionals working remotely with Azure Synapse Analytics, and how can they be addressed?

Professionals working remotely with Azure Synapse Analytics often face challenges related to secure data access, collaboration with distributed teams, and managing complex cloud resources. To address these, it's important to establish robust remote access protocols, such as using VPNs and role-based access controls. Regular communication using collaboration tools and thorough documentation of data workflows help maintain team alignment. Additionally, automating resource management and monitoring via Azure tools can improve efficiency and reduce the risk of errors in a remote setting.

What is the difference between Remote Azure Synapse Analytics vs Data Engineer?

AspectRemote Azure Synapse AnalyticsData Engineer
Required CredentialsAzure certifications, SQL, data warehousing skillsData engineering certifications, SQL, cloud platform knowledge
Work EnvironmentCloud-based, remote, collaborative teamsOn-premises or cloud, often remote, technical focus
Industry UsageData analytics, business intelligence, cloud solutionsData pipeline development, database management, ETL processes

Remote Azure Synapse Analytics specialists focus on designing and managing data analytics solutions using Azure cloud services, while Data Engineers build and maintain data pipelines and infrastructure. Both roles require similar technical skills and certifications but differ in their primary focus and daily tasks.

What are popular job titles related to Remote Azure Synapse Analytics jobs in Oregon?

For Remote Azure Synapse Analytics jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Azure Synapse Analytics jobs in Oregon look for?

The top searched job categories for Remote Azure Synapse Analytics jobs in Oregon are:

What cities in Oregon are hiring for Remote Azure Synapse Analytics jobs?

Cities in Oregon with the most Remote Azure Synapse Analytics job openings:

Senior Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted 4 days ago


Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
  • The contractor shall conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
  • The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

Qualifications
  • Active TS/SCI Clearance.
  • Master's degree in Data Science, Machine Learning, Statistics, or a related field, or;
    • nine (9) years of equivalent experience in AI/ML model development and deployment.
  • Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
  • Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
  • Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
  • Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
  • Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
  • Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
  • Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.

Preferred Qualifications:
  • Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.

Additional Information
Work Environment
  • Full remote flexibility.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.