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Remote Power Query Jobs in Fremont, CA (NOW HIRING)

Imply

Director, Product Management (Remote)

Burlingame, CA · On-site +1

$263K - $275K/yr

... to power faster decisions, reduce costs, and unlock new possibilities. Come join a team of ... This role will own strategy and execution: defining how customers ingest, store, query, and act on ...

Imply

Director, Product Management (Remote)

Burlingame, CA · Remote

$263K - $275K/yr

... to power faster decisions, reduce costs, and unlock new possibilities. Come join a team of ... This role will own strategy and execution: defining how customers ingest, store, query, and act on ...

Imply

Director, Product Management (Remote)

Burlingame, CA · Remote

$263K - $275K/yr

... to power faster decisions, reduce costs, and unlock new possibilities. Come join a team of ... This role will own strategy and execution: defining how customers ingest, store, query, and act on ...

Sila

Forward Deployed Application Developer

Alameda, CA · Remote

$152K - $192K/yr

Our mission is to power the world's transition to clean energy. To create this future, our team is ... to query technical specs, experimental results, and financial data using natural language.

Metriport

Senior Data Engineer

San Francisco, CA · Remote

$180K - $220K/yr

You'll be a catalyst to scale the data platform that powers our product -- and ship it to customers ... Participating in bi-weekly sprint planning and retros, joining our daily 30-min remote stand-up at ...

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Remote Power Query information

What is a Remote Power Query specialist?

A Remote Power Query specialist is a professional who works from a remote location and is skilled in using Microsoft Power Query, a data connection technology that helps users discover, connect, combine, and refine data across a wide variety of sources. These specialists typically assist organizations in automating data preparation and transformation tasks for business intelligence and reporting. Their expertise allows businesses to streamline data workflows, improve data accuracy, and save time by creating efficient data models and queries without needing in-person support.

What are the key skills and qualifications needed to thrive as a Remote Power Query specialist?

To thrive as a Remote Power Query Specialist, you need advanced knowledge of data analysis, Power Query (M language), and data transformation concepts, often supported by a degree in computer science, information systems, or a related field. Proficiency with Microsoft Power BI, Excel, and other data visualization or ETL tools, along with relevant certifications like Microsoft Certified: Data Analyst Associate, is typically required. Strong problem-solving ability, attention to detail, and clear communication are vital soft skills for understanding client needs and delivering accurate data solutions remotely. These skills and qualifications ensure efficient data management, enable effective remote collaboration, and drive insightful business decisions.

What are the typical challenges faced by Remote Power Query professionals, and how can they be addressed?

Remote Power Query professionals often encounter challenges related to data connectivity, especially when integrating multiple data sources across different environments. Ensuring consistent data refreshes and troubleshooting connection issues can require creative problem-solving. Effective communication with team members and data owners is key to resolving discrepancies and clarifying requirements. Maintaining documentation and using version control for queries help streamline collaboration and minimize errors while working remotely.

What is the difference between Remote Power Query vs Remote Data Analyst?

AspectRemote Power QueryRemote Data Analyst
Required SkillsData transformation, Power Query, Excel, Power BIData analysis, SQL, Excel, Power BI, visualization
Work EnvironmentRemote, primarily using data tools and platformsRemote, involving data interpretation and reporting
Industry UsageBusiness intelligence, data preparation rolesData analysis, reporting, business insights

Remote Power Query focuses on data transformation and preparation using Power Query tools, often as part of data cleaning and modeling. Remote Data Analysts perform broader data analysis, including interpreting data, creating reports, and providing insights. While both roles require skills in Power BI and Excel, Power Query specialists concentrate on data shaping, whereas Data Analysts handle comprehensive analysis and reporting tasks.

What are popular job titles related to Remote Power Query jobs in Fremont, CA?

For Remote Power Query jobs in Fremont, CA, the most frequently searched job titles are:

What job categories do people searching Remote Power Query jobs in Fremont, CA look for?

The top searched job categories for Remote Power Query jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Remote Power Query jobs?

Cities near Fremont, CA with the most Remote Power Query job openings:

Remote Power Query jobs near you

Staff Software Engineer

Uber Technologies, Inc.

Sunnyvale, CA • On-site, Remote

Full-time

Re-posted 11 days ago

Uber rating

6.7

Company rating: 6.7 out of 10

Based on 116 frontline employees who took The Breakroom Quiz

4th of 9 rated taxi private hire

Job description

About the role and team 

Leading at Uber means setting direction in motion, not waiting for perfect conditions. As a Staff Software Engineer, you will be a technical anchor for the foundational systems that move the world - from building the next generation of orchestration platforms to architecting the stacks that power our global applications. Our mission is to make transportation as reliable as running water, and we need technical powerhouses to build the dependable, high-performance foundation that supports that vision.

This is a role for a proven, large-scale systems thinker who thrives in high-stakes environments. You will navigate the "messy" reality of complex infrastructures spanning global data centers and multiple cloud providers, supporting a diverse variety of workloads. You'll need to make smart decisions with imperfect information and own the outcomes of global architectural choices. If you lead with clarity, build with heart, and are motivated by the challenge of peak efficiency at unparalleled scale - this is where you'll make your mark.

Rate of Pay:                 $264,514 to $284,000 per year

You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits. 

What you'll do 

  • Design, develop, and test software applications. 
  • Design, develop, and/or test software applications using company technology stack. 
  • Set the long-term technical direction for key investment areas, such as retrieval, ranking, and query understanding. 
  • Evaluate and apply emerging technologies like generative AI and advanced deep learning to create novel solutions. 
  • Champion a high bar for scientific rigor, engineering best practices, and overall machine learning quality across all projects. 
  • Provide expert technical mentorship and leadership to a team of machine learning engineers and scientists. 
  • Offer guidance on advanced methodologies, including hybrid Machine Learning/LLM approaches, fine-tuning, and multi-LLM ensemble frameworks. 
  • Foster a culture of technical excellence, continuous learning, and cross-functional collaboration. 
  • May Telecommute.
     

Basic Qualifications 

  • Employer will accept a Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or related field, followed by 5 years of progressive, postbaccalaureate experience in job offered or in a related occupation.
  • Position requires: 
    • 5 years of experience in developing and deploying machine learning models and algorithms in production environments;
    • Experience in machine learning  system architecture and design; 
    • Machine learning algorithms, statistical modeling, and modern deep learning approaches;
    • Programming skills in Python and Java, for machine learning deployment;
    • Experience in big data framework including Spark or Hadoop; 
    • Algorithms and data structures;
    • MLOps such as model evaluation, deployment, monitoring, and system optimization;
    • Familiar with database including SQL, MySQL, or Presto.

Ready to Ride?


This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.


You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.


Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.


Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

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