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Data Stacks Jobs in Remote, OR (NOW HIRING)

Kiewit Corporation

Data Engineer-Kiewit Nuclear Solutions 1

OR · Remote

$107K - $128K/yr

... stack Primary: * Power BI * Power BI Premium / Embedded * Azure Databricks (PySpark, Spark SQL ... Azure Data Factory * SQL Server * Snowflake Supporting: * Python * Git (source control) * CI/CD ...

Syniti

Senior Software Engineer

OR

$114K - $151K/yr

Syniti's Data First strategy transforms data from an afterthought into a strategic asset-unlocking ... Apart from mastering our tech stack, they take pride in mentoring fellow engineers and proactively ...

Clevanoo LLC

Be Seen First

AI engineer

OR · On-site

$98K - $134K/yr

... data archiving. This role will focus on leveraging LLM capabilities (Claude) alongside Visual ... Required Qualifications • 5+ years of software engineering experience (backend or full-stack with ...

New

Umpqua Health

Solutions Engineer

Roseburg, OR · Remote

$100K - $118K/yr

... stack web applications and application codebases with emphasis on performance, scalability, usability, and engineering standards. * Architect database schemas, data models, and backend services ...

Umpqua Health

Solutions Engineer

Roseburg, OR · Remote

... stack web applications and application codebases with emphasis on performance, scalability, usability, and engineering standards. * Architect database schemas, data models, and backend services ...

Umpqua Health

Solutions Engineer

Roseburg, OR · On-site +1

$100K - $118K/yr

... stack web applications and application codebases with emphasis on performance, scalability, usability, and engineering standards. * Architect database schemas, data models, and backend services ...

Syniti

Sr. Engineer, Site Reliability

OR

$53.50 - $71/hr

Syniti's Data First strategy transforms data from an afterthought into a strategic asset-unlocking ... Experience with observability stacks (Prometheus, Grafana, Loki, or equivalent) and distributed ...

Lumen Technologies

Adobe CDP Engineer

OR · Remote

$105K - $141K/yr

By connecting people, data, and applications quickly, securely, and effortlessly, we help ... Experience integrating Adobe stack with other enterprise platforms (Salesforce, DemandBase ...

Anytime AI

Infrastructure Engineer

OR · Remote

$100K - $200K/yr

You will design and optimize high-concurrency distributed systems, ensure that complex AI tasks and data flows run efficiently, and provide robust technical support for our full-stack engineers and ...

Avaya

Senior Front End Engineer - Avaya Infinity Platform

OR · On-site +1

$114K - $158K/yr

... in data-intensive real-time UIs - Participate in architecture decisions and advocate for ... Stack React 18/19, TypeScript, Redux Toolkit / RTK Query, Vite, React Router, Mantine, CSS Modules ...

Domino's Pizza

Customer Service Rep

Myrtle Creek, OR · On-site

$15 - $20.25/hr

... data, make judgments and decisions Physical Requirements including, but not limited to the ... A stack of trays on a dolly is approximately 24- 30 and requires a force of up to 7.5 pounds to ...

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Data Stacks information

What are Data Stacks?

Data stacks refer to the combination of tools, technologies, and frameworks used to collect, store, process, and analyze data within an organization. A typical data stack might include data ingestion tools, databases, data warehouses, processing frameworks, and analytics platforms. The purpose of a data stack is to streamline the flow of data from its source to actionable insights, supporting business intelligence and decision-making. Common examples include the Modern Data Stack, which often uses tools like Fivetran, Snowflake, dbt, and Looker.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need strong skills in database design, data modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Apache Spark, Hadoop, and cloud platforms like AWS or Google Cloud, as well as certifications in these technologies, is highly valued. Problem-solving abilities, attention to detail, and effective communication are important soft skills for this role. These skills are crucial for building reliable data pipelines, ensuring data quality, and supporting data-driven decision-making within organizations.

What is the difference between Data Stacks vs Data Analysts?

AspectData StacksData Analysts
Required CredentialsBachelor's in Computer Science, Data Science, or related fields; certifications like SQL, Python, or cloud platformsBachelor's in Statistics, Mathematics, or related fields; often certifications in Excel, SQL, or data visualization tools
Work EnvironmentTechnical teams, data engineering, software development environmentsBusiness units, reporting teams, data visualization platforms
Employer & Industry UsageTech companies, data-driven organizations, startupsFinance, marketing, healthcare, consulting firms

Data Stacks focus on building and managing the underlying data infrastructure, while Data Analysts interpret data to provide insights. Both roles require analytical skills, but Data Stacks professionals are more technical, working with data pipelines and databases, whereas Data Analysts focus on analyzing data to support decision-making.

What are some common challenges faced when managing modern data stacks, and how can they be addressed in this role?

Professionals managing modern data stacks often encounter challenges such as integrating diverse data sources, ensuring data quality, and maintaining system scalability as data volumes grow. Addressing these challenges typically involves collaborating closely with data engineers, analysts, and IT teams to implement robust data pipelines, automate data validation, and monitor system performance. Staying updated with evolving technologies and best practices is also crucial for proactive problem-solving and optimizing the data stack for business needs.
What cities near Remote, OR are hiring for Data Stacks jobs? Cities near Remote, OR with the most Data Stacks job openings:
Data Stacks jobs near you
Data Engineer-Kiewit Nuclear Solutions 1

Data Engineer-Kiewit Nuclear Solutions 1

Kiewit Corporation

OR • Remote

$107K - $128K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Kiewit Corporation rating

8.0

Company rating: 8.0 out of 10

Based on 133 frontline employees who took The Breakroom Quiz

20th of 78 rated construction

Job description

Requisition ID: 180211 

Job Level: Mid Level 

Home District/Group: Kiewit Nuclear Solutions 

Department: Technology Group 

Market: Nuclear 

Employment Type: Full Time 
 

Position Overview

Kiewit is seeking a Power BI Developer to architect, design, and deliver enterprise-grade analytics solutions supporting complex EPC projects across the organization. This is a technical role that involves building strong relationships with project and discipline leads and deploying complex data strategies activities across Kiewit's business functions. This role operates within the Digital Project Execution (DPE) team and will collaborate closely with data engineers, solution architects, project leadership, and technology teams to deliver production-grade BI solutions that drive operational decisions on major construction programs.

District Overview

This position is within the Kiewit Technology Group, supporting Kiewit Nuclear Solutions. 

Location

This is a remote position that may require some travel. 

#LI

Responsibilities

Power BI Development

  • Develop interactive dashboards for project and field use
  • Implement row-level security (RLS), object-level security (OLS), and governance standards
  • Deploy and manage solutions within Power BI capacities
  • Configure and optimize data gateways
  • Manage workspaces, deployment pipelines, and versioning strategies
  • Design and develop scalable Power BI datasets using modeling best practices
  • Build optimized semantic models supporting enterprise-scale reporting
  • Implement incremental refresh, aggregation tables, composite models, and DirectQuery/Import hybrid architectures
  • Engineer high-performance DAX measures for complex business logic
  • Troubleshoot and refactor poorly performing models
  • Contribute to enterprise data standards and BI best practices

Data Integration and Engineering Collaboration

  • Work with data engineers to define optimized data contracts
  • Analyze and troubleshoot end-to-end data pipelines
  • Contribute to ELT design patterns across:
    • Azure Data Lake (ADLS Gen2)
    • Azure Databricks (Spark / PySpark / Spark SQL)
    • Azure Data Factory
    • SQL Server / Azure SQL
  • Ensure datasets are structured for performance, scalability, and reusability
Qualifications

Technology stack

Primary:

  • Power BI
  • Power BI Premium / Embedded
  • Azure Databricks (PySpark, Spark SQL)
  • Azure Data Lake
  • Azure Data Factory
  • SQL Server
  • Snowflake

Supporting:

  • Python
  • Git (source control)
  • CI/CD deployment pipelines
  • Data modeling and warehousing frameworks

Required SKILLS AND ABILITIES

  • Strong PowerBi experience is required including PowerBI Premium or Embedded
  • Programming: Expert level SQL, PL/SQL, Experienced Python skills (with a strong track record of optimizing complex Power BI models for performance and scalability)
  • Procient in writing advanced / complex SQL, expertise in optimization of SQL queries preferred.
  • Familiarity with the EPC industry required (Engineering or Construction)
  • Experience in troubleshooting and working with various teams in resolving issues / solving complex problems.
  • Proven ability to understand complex business rules and processes and then build integration processes and database views to represent those rules and processes.
  • Preferred experience in secondary tools such as Azure Databricks, Visual studio, Azure Data Factory, etc.
  • Excellent written and strong oral communication skills.
  • Understanding of ETL fundamentals and solutions.
  • Should be procient in writing advanced / complex SQL, expertise in performance tuning and optimization of SQL queries required.
  • Experience in Python/Pyspark and Spark SQL (primary languages used in our solutions).
  • Experience in troubleshooting data issues and analyzing end to end data pipelines.
  • Strong experience developing data analytics and visualizations with transformation and aggregation from multiple formats for analyzing and uncovering insights / intelligence for project teams.
  • Familiar with source control and version control systems
  • Experience in troubleshooting and working with various teams in resolving issues / solving complex problems.
  • Proven ability to understand complex business rules and processes.
  • Experience with creation of technical documentation for Functional Requirements, Scope documents, Technical Design, and Business Process Modeling etc.

Industry Specific Experience:  

  • 8+ years of experience in BI / data analytics

Other Requirements:
    Regular, reliable attendance
    Work productively and meet deadlines timely
    Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment
    Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
    Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
    FIELD ROLES ONLY May work at various different locations and conditions may vary

Base Compensation: $136,000/yr - $142,000/yr

(Actual compensation is subject to variation due to such factors as education, experience, skillset, and/or location)

We offer our fulltime staff employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.

Equal Opportunity Employer, including disability and protected veteran status.

What Kiewit Corporation employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Kiewit

Sourced by ZipRecruiter

Kiewit Infrastructure Engineering's Design-Build team is driving clients to turn to Kiewit during all stages of design-build projects. Through our integrated design and construction approach, our multi-disciplinary team works together to improve schedule, control costs and minimize risk. Our construction-focused engineers work collaboratively with our estimators and builders to design solutions that are innovative, constructible, and designed with a focus on safety. Clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and best practices for all projects that we support.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Omaha, NE, US

Year founded

1884

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