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Remote Google Bigquery Jobs in Kansas (NOW HIRING)

Google Cloud Platform preferred. Cloud Run, Cloud SQL/PostgreSQL, and BigQuery with Looker for ... Must be able to sit and view a computer screen for extended periods of time #LI-TC1 #LI-Remote ...

Google Cloud Platform preferred. Cloud Run, Cloud SQL/PostgreSQL, and BigQuery with Looker for ... Must be able to sit and view a computer screen for extended periods of time #LI-TC1 #LI-Remote ...

Remote Google Bigquery information

What are some common challenges faced by professionals working remotely with Google BigQuery, and how can they be addressed?

One common challenge remote Google BigQuery professionals face is optimizing query performance while managing cost, since inefficient queries can quickly increase expenses. Collaboration with distributed teams can also be tricky, especially when aligning on data schema changes or troubleshooting issues across time zones. To address these, it's helpful to establish clear documentation practices, use version control for SQL scripts, and schedule regular check-ins with team members. Leveraging Google BigQuery's built-in monitoring and cost control tools also helps maintain project efficiency and budget constraints.

How can I make 2000 a week working from home?

A remote Google BigQuery professional can increase earnings by taking on multiple freelance or consulting projects, developing specialized skills, and building a strong portfolio. Earning $2000 weekly typically requires consistent work, high-demand expertise, and efficient project management, often involving remote collaboration tools and certifications. Such income levels are achievable with experience and a steady client base in data analysis or cloud data management roles.

What is the difference between Remote Google Bigquery vs Remote Data Analyst?

AspectRemote Google BigqueryRemote Data Analyst
Required CredentialsSQL, Cloud certifications, Google Cloud certificationsSQL, Data analysis, Excel, sometimes certifications
Work EnvironmentCloud platforms, data warehouses, remote teamsData visualization tools, spreadsheets, reporting platforms
Industry UsageData engineering, cloud services, analyticsBusiness intelligence, reporting, insights

Remote Google Bigquery specialists focus on managing and querying large datasets using Google Cloud, requiring technical skills and cloud certifications. Remote Data Analysts interpret data, create reports, and provide insights, often using visualization tools. While both roles work remotely and handle data, Bigquery roles are more technical and cloud-focused, whereas Data Analysts focus on analysis and reporting.

What are the key skills and qualifications needed to thrive as a Remote Google BigQuery Specialist, and why are they important?

To excel as a Remote Google BigQuery Specialist, you need a solid background in SQL, data warehousing concepts, and experience with cloud-based analytics platforms, typically supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP), BigQuery ML, data visualization tools like Looker or Tableau, and relevant certifications such as Google Professional Data Engineer are highly beneficial. Strong problem-solving skills, attention to detail, and effective remote communication set top performers apart. These skills and qualifications enable efficient management of large datasets, insightful analytics, and seamless collaboration in distributed teams.

Does Google offer fully remote jobs?

Google offers a variety of remote job opportunities, including roles related to data analysis and cloud services such as Google BigQuery. Many positions are now available as fully remote or hybrid, depending on the role and team requirements, with remote work policies evolving to support flexible schedules and digital collaboration tools.

Is BigQuery in demand?

BigQuery is a widely used cloud data warehouse tool, and roles involving BigQuery are in high demand due to the growth of data analytics and cloud computing. Skills in SQL, data modeling, and cloud platforms like Google Cloud are valuable for professionals working with BigQuery.

How can I make $100,000 a year working from home?

A remote Google BigQuery professional can reach a $100,000 annual salary by gaining advanced skills in data analysis, SQL, and cloud computing, obtaining relevant certifications, and gaining experience in high-demand industries. Building a strong portfolio and working for companies that value remote data expertise can also increase earning potential. Consistent skill development and networking are key to reaching this income level remotely.

What is a Remote Google BigQuery job?

A Remote Google BigQuery job is a position where professionals manage, analyze, and optimize large datasets using Google BigQuery, a fully-managed cloud data warehouse, while working from a location outside of a traditional office. These roles typically involve writing SQL queries, building data pipelines, and collaborating with data engineers and analysts to derive insights from data stored in the cloud. Remote BigQuery specialists may also be responsible for maintaining data security, optimizing query performance, and integrating BigQuery with other data tools. This flexible setup allows employees to work from anywhere with a stable internet connection while supporting organizations' data needs.
What are popular job titles related to Remote Google Bigquery jobs in Kansas? For Remote Google Bigquery jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Remote Google Bigquery jobs in Kansas look for? The top searched job categories for Remote Google Bigquery jobs in Kansas are:
What cities in Kansas are hiring for Remote Google Bigquery jobs? Cities in Kansas with the most Remote Google Bigquery job openings:

Staff Software Engineer

WellSky

Overland Park, KS • Remote

$2.5K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago


WellSky rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

177th of 241 rated software companies


Job description

The Staff Software Engineer is responsible for all stages of the software development lifecycle using a variety of technologies and tools to build impactful software solutions. The scope of this job includes building and optimizing comprehensive solutions that prioritize end-user efficiency and experience.

Key Responsibilities:

  • Lead the design and architecture of major systems and services, and ensure software solutions are scalable, reliable, maintainable, and aligned with business needs.
  • Collaborate with solution managers, engineers, data scientists, and other stakeholders to define and prioritize technical requirements that meet client needs and business objectives.
  • Demonstrate experience delivering production software through agentic AI tooling such as Claude Code, including decomposing work for parallel agent execution, engineering effective context and rigorously reviewing all generated code.
  • Understands the AI harness is engineered infrastructure, establishes and maintains the automated tests, linters, hooks, and repository conventions that keep agent output reliable. Must be able to distinguish a working prototype from a production-grade implementation and to close that gap before code ships.
  • Collaborate with teams to ensure sustained quality and reliability of our software solutions, and act as a go-to expert by identifying and resolving complex, high-priority issues in both development and production environments.
  • Actively contribute to code reviews, provide constructive feedback on design and implementation, and provide technical guidance to other engineers to elevate skills, productivity, and overall effectiveness.
  • Drive innovation by evaluating and implementing new technologies, methodologies, and AI capabilities that improve team efficiency, software performance, and development processes.
  • Ensure code meets functional and performance requirements, advocate for high-quality software, and ensure rigorous testing processes, including automated unit tests, integration tests, and other testing frameworks.
  • LeverageAItools and platforms as an integral part of daily responsibilities to enhance decision-making, streamline workflows, and drive data-informed outcomes.
  • Perform other job duties as assigned.

Required Qualifications:

  • Bachelor's degree in a related field or equivalent work experience
  • 8-12 years related work experience
  • Strong command of C#/.NET 10 and Angular with TypeScript, Bootstrap, SCSS, developing REST APIs Required
  • Proven experience deploying to cloud environments with Terraform required.
  • Secure multi-tenant and HIPAA-aligned data management required with proven experience managing PI and PHI

Preferred Qualifications:

  • Google Cloud Platform preferred. Cloud Run, Cloud SQL/PostgreSQL, and BigQuery with Looker for analytics infrastructure managed through Terraform.
  • Familiarity with Flagsmith for feature rollout and entitlement management is preferred.
  • Healthcare industry experience

Job Expectations:

  • Willing to work additional or irregular hours as needed
  • Must work in accordance with applicable security policies and procedures to safeguard company and client information
  • Must be able to sit and view a computer screen for extended periods of time

#LI-TC1

#LI-Remote

WellSky is where independent thinking and collaboration come together to create an authentic culture. We thrive on innovation, inclusiveness, and cohesive perspectives. At WellSky you can make a difference.

WellSky provides equal employment opportunities to all people without regard to race, color, national origin, ancestry, citizenship, age, religion, gender, sex, sexual orientation, gender identity, gender expression, marital status, pregnancy, physical or mental disability, protected medical condition, genetic information, military service, veteran status, or any other status or characteristic protected by law. WellSky is proud to be a drug-free workplace.

Applicants for U.S.-based positions with WellSky must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Certain client-facing positions may be required to comply with applicable requirements, such as immunizations and occupational health mandates.

Here are some of the exciting benefits full-time teammates are eligible to receive at WellSky:

  • Excellent medical with Rx, dental, and vision benefits

  • Mental Health support through EAP

  • Generous paid time off, plus 13 paid holidays

  • 100% vested 401(K) retirement plans

  • Educational assistance up to $2500 per year


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