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Remote Data Jobs in Kansas (NOW HIRING)

$125K - $165K/yr

Data Pipeline Ownership Design, build, and maintain scalable ETL/ELT pipelines using AWS-native ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

Remote (opportunity to work from our SF office) The Role We are looking for a high-potential commercial attorney to join our legal team. This person will initially focus on data-licensing agreements ...

Senior Data Analyst

Overland Park, KS · On-site +1

$85K - $107K/yr

As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media, measurement, and data analytics experience to serve as a senior individual contributor on MMGY ...

Remote (opportunity to work from our SF office) The Role We are looking for a high-potential commercial attorney to join our legal team. This person will initially focus on data-licensing agreements ...

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Remote work and more! About DataVoice: DataVoice International's integrated utility management ...

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Remote work and more! About DataVoice: DataVoice International's integrated utility management ...

Work with data conversion specialists to achieve a smooth transition of legacy data. * Train end users on the software in both remote and classroom-led sessions. * Be adept on the functionality and ...

Work with data conversion specialists to achieve a smooth transition of legacy data. * Train end users on the software in both remote and classroom-led sessions. * Be adept on the functionality and ...

Work with data conversion specialists to achieve a smooth transition of legacy data. * Train end users on the software in both remote and classroom-led sessions. * Be adept on the functionality and ...

Contributions to open-source projects related to data or AI/ML. #LI-DM1 #LI-Remote Benefits of Working at CrowdStrike: * Market leader in compensation and equity awards * Comprehensive physical and ...

Remote Insurance Agent

Kansas City, KS · Remote

$60K - $110K/yr

Remote Insurance Sales Agent | $60k-$110k+ First Year | No Cold Calling Earn strong first-year ... with applicable data protection laws. (US only) 1099=independent contractor, not employee.

Showing results 41-60

Remote Data information

See Kansas salary details

$41K

$147.2K

$217.2K

How much do remote data jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote data in Kansas is $147,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $151,600.00 per year, depending on experience, location, and employer.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are some common challenges faced when working as a remote data analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

Are there actually remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from a home or remote location. These roles typically require basic computer skills, attention to detail, and often use tools like spreadsheets or data management software. They are commonly offered as part-time or flexible schedules and are suitable for individuals seeking remote work opportunities.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. They are often part-time or flexible positions, suitable for individuals seeking remote work opportunities.

What are the most commonly searched types of Data jobs in Kansas?

The most popular types of Data jobs in Kansas are:

What are popular job titles related to Remote Data jobs in Kansas?

For Remote Data jobs in Kansas, the most frequently searched job titles are:

What cities in Kansas are hiring for Remote Data jobs?

Cities in Kansas with the most Remote Data job openings:

Infographic showing various Remote Data job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $147,171 per year, or $70.8 per hour.

Senior Data Engineer

On-site, Remote

$125K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted just now


Key responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines using AWS-native services.

  • Manage and optimize production databases and data warehouses, including performance tuning and schema management.

  • Build automated data validation frameworks, monitor data quality, and ensure data governance standards.


Job description

*Applicants must be authorized to work in the U.S. for any employer. *We cannot sponsor employment-based visas at this time

About The Company: With hundreds of customers across more than 140 countries, Tango is the leader in cloud-based Software-as-a-Service (SaaS) solutions use to manage the end-to-end real estate and facilities lifecycles. Tango's Store Lifecycle Management and Integrated Workplace Management System software, deliver a single solution spanning real estate, design & construction, lease administration & accounting, facilities maintenance, occupancy management, energy & sustainability, desk booking, visitor and space management. We are looking for a Senior Data Engineer to join our dynamic and growing Data & AI Engineering team.

Key Responsibilities: Data Pipeline Ownership Design, build, and maintain scalable ETL/ELT pipelines using AWS-native services (Glue, Lambda, Step Functions, S3). Develop automated workflows to ingest, transform, and validate large volumes of structured and semi-structured data. Monitor pipeline performance, reliability, and cost efficiency; implement proactive improvements.

Own the transformation layer in dbt: models, tests, sources, and documentation. Every dataset that reaches the warehouse is modeled in dbt and validated against source. Database & Warehouse Management Manage and optimize production databases (Postgres, TimescaleDB) and our OLAP data warehouse (Redshift, etc).

Implement database performance tuning, indexing strategies, query optimizations, and schema evolution best practices. Oversee data retention, partitioning, and backup/restore strategies. Data Quality & Governance Build automated data validation frameworks and anomaly detection, anchored in dbt tests and source-reconciliation checks.

Establish and enforce data quality SLAs across ingestion and reporting layers. Maintain metadata, lineage, and documentation standards to support auditability (SOC 1/2, ISO). Cross-Functional Collaboration Work with application engineering teams to design APIs, microservices, and data contracts.

Support Product and Data Analytics teams with curated datasets and high-performance query patterns. Troubleshoot production issues and improve observability using monitoring and alerting tools (CloudWatch, Datadog, etc.). Required Skills: 5+ years of professional experience as a Data Engineer or similar role

Strong expertise with Python and SQL, and modern data engineering frameworks. Deep experience with AWS data services (Glue, Lambda, Step Functions, S3, Redshift, RDS/Postgres). Hands-on experience with ETL/ELT pipeline design, orchestration, and performance tuning.

Strong experience with production databases (Postgres, TimescaleDB, etc.). Solid understanding of data modeling (OLTP, OLAP/star schema), warehousing, and analytics workloads. Experience with data quality frameworks, validation, and monitoring

Production experience with dbt: building and testing models, managing sources and lineage, structuring a project across staging/intermediate/mart layers and running it in CI. Experience with Git-based workflows and CI/CD for data: pull requests, code review and automated testing of transformations. Preferred: Experience with time-series data and high-volume ingestion pipelines.

Background in the Energy, Sustainability, or IoT data domain. dbt Semantic Layer or comparable metrics-layer experience (Cube, LookML, Omni semantic models). What We Offer We're committed to creating an environment where you can thrive-professionally and personally.

Our offerings include: Competitive Compensation We recognize and reward your contributions with a salary package that reflects your value. Comprehensive Benefits Including health, dental, and vision insurance, a 401(k) plan with company match, and generous paid time off to support your well-being. Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that promote productivity and balance.

Inclusive & Collaborative Culture We foster a workplace where diverse perspectives are valued, teamwork is encouraged, and everyone has a voice. Tango is proud to be an equal opportunity employer. We are committed to equal opportunity regardless of race, ethnicity, religion, parental status, sexual orientation, age, citizenship, disability, or veteran status.

Base pay offered is contingent on qualifications and other operational considerations. Base pay is just one piece of the full compensation structure offered at Tango. If this pay range is outside of your expectations, we still encourage you to apply and have a conversation with us.

Base pay offered for this position is: $125,000 - $165,000