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Remote Data Engineer Jobs in Kansas (NOW HIRING)

Data Engineer II

Topeka, KS · Remote

$107.80K - $129.40K/yr

Remote (U.S.-based) About Pearson Virtual Schools At Pearson Virtual Schools (PVS), we are ... This role will operate at the intersection of data engineering and business intelligence ...

Data Engineer - Healthcare

Topeka, KS · Remote

$107.80K - $129.40K/yr

Become a part of our caring community The Data Engineer 2 will develop scalable data processing ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... on data engineering and data science. * Experience in building data pipelines and managing large ...

Senior, Data Engineer

Topeka, KS · Remote

$140K - $160K/yr

Come join our amazing team and work remote from home! What you'll do: Under direct supervision ... Proficiency in programming languages is commonly used in data engineering, such as Python or Java ...

Senior Data Software Engineer

Kansas, KS · On-site +1

$108K - $142.40K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... on data engineering and data science. * Experience in building data pipelines and managing large ...

Senior Data/AI Engineer

Topeka, KS · Remote

$99.80K - $135.50K/yr

This role is remote and can be based anywhere within the United States. Candidates must be able to work within EST business hours (9a-5p EST). Job Summary The Senior Data/AI Engineer is a senior ...

Tableau Data Analyst

Salina, KS · Remote

$55 - $60/hr

This fully remote role focuses on delivering high-quality reporting and insights through Tableau ... The Data Analyst will work closely with Business Analysts, Data Engineers, and operational and ...

You'll work alongside a Staff Data Engineer (who owns the data foundation) and report to the ... site, remote, or dispersed across global networks. Our platform automates network discovery ...

... and/or remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a GCP Engineer on the AI & Data team, you will be responsible for... * Build, configure, and ...

Data Architect

Topeka, KS · On-site +1

$60 - $77.25/hr

Partner with engineering and analytics teams across modeling, integration, MDM, metadata ... Flexible Remote Workday | Business partners may work remote one day per week. * Access to ...

Data Architect

Topeka, KS · On-site +1

$60 - $77.25/hr

Partner with engineering and analytics teams across modeling, integration, MDM, metadata ... Flexible Remote Workday | Business partners may work remote one day per week. * Access to ...

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Remote Data Engineer information

See Kansas salary details

$39.7K

$115.7K

$158.3K

How much do remote data engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for remote data engineer in Kansas is $115,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $122,600.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

What are the most commonly searched types of Data Engineer jobs in Kansas? The most popular types of Data Engineer jobs in Kansas are:
What job categories do people searching Remote Data Engineer jobs in Kansas look for? The top searched job categories for Remote Data Engineer jobs in Kansas are:
What cities in Kansas are hiring for Remote Data Engineer jobs? Cities in Kansas with the most Remote Data Engineer job openings:

Data Engineer II

Pearson

Topeka, KS • Remote

$107.80K - $129.40K/yr

Other

Posted 4 days ago


Job description

Business Intelligence Developer (Power BI)

Pearson Virtual Schools (PVS) – Enabling Technology

Location: Remote (U.S.-based)

About Pearson Virtual Schools

At Pearson Virtual Schools (PVS), we are committed to expanding access to high-quality education through innovative digital learning solutions. PVS is a division within Pearson, a global leader in the education industry. Our PVS Enabling Technology team plays a critical role in this mission by building scalable, trusted data products that empower school leaders, educators, and operational teams to make informed decisions that improve student outcomes.

As we evolve toward a Data Product–driven organization , we are investing in modern analytics capabilities that combine trusted data pipelines, semantic models, and self-service reporting experiences .

Role Overview

We are seeking a Senior Power BI Developer to design, build, and deliver high-quality analytics and ETL (extract, transform & load) solutions that power decision-making across Pearson Virtual Schools. This role will operate at the intersection of data engineering and business intelligence , transforming complex data into intuitive, scalable reporting experiences.

You will partner closely with data engineers, analysts, and business stakeholders to develop semantic models, dashboards, and reporting experiences that align with defined data products and organizational standards. This is a hands-on individual contributor role with strong ownership expectations across the full lifecycle of analytics delivery—from requirements through deployment and optimization.

What You’ll Do

Data Visualization & Reporting

  • Design and develop Power BI dashboards and reports that support school operations, student outcomes analysis, and enterprise reporting

  • Translate business needs into intuitive, actionable visualizations aligned with PVS reporting standards

  • Optimize report performance, usability, and accessibility for diverse end users (school leaders, analysts, executives)

  • Implement and maintain data security policies within reporting tools in adherence with PVS data security policies, governance and best practices

Semantic Modeling

  • Build and maintain Power BI semantic models (datasets) that serve as governed, reusable data foundations

  • Implement data modeling best practices (star schema, DAX optimization, row-level security)

  • Partner with engineering to ensure alignment between data pipelines and reporting layer

Data Quality & Reliability

  • Validate data outputs and ensure consistency between reports and source systems

  • Troubleshoot data discrepancies, refresh failures, and performance issues

  • Contribute to monitoring, testing, and documentation of reporting solutions

  • Implement and validate Row Level Security in a multi-tenant environment

Collaboration & Delivery

  • Work closely with business stakeholders to refine requirements and prioritize features

  • Participate in design discussions, backlog refinement, and peer reviews

  • Communicate technical tradeoffs, risks, and timelines clearly to both technical and non-technical audiences

Scalability & Data Product Enablement

  • Contribute to the development of scalable, reusable reporting assets that align with PVS data product strategy

  • Support self-service analytics by enabling well-documented datasets and consistent definitions

  • Drive improvements in deployment practices, governance, and lifecycle management

What You Bring

Technical Expertise

  • Advanced experience with Power BI (report development, visualizations, DAX, Power Query, semantic modeling, Tabular Editor 3 , DAX Studio , or ALM Toolkit)

  • Strong understanding of data modeling concepts (star schema, fact/dimension design)

  • Experience with SQL and working with structured datasets in data warehouses/lakehouses

  • Familiarity with data pipelines and integration concepts (e.g., Azure Data Factory, ETL/ELT patterns)

Problem Solving & Ownership

  • Proven ability to independently deliver end-to-end reporting solutions

  • Strong troubleshooting skills across data, performance, and visualization issues

  • Experience improving data quality, reliability, and usability

Collaboration & Communication

  • Strong communication skills that deliver exceptional value to internal and external customers

  • Ability to translate complex technical concepts into clear, actionable insights

  • Experience working cross-functionally with engineering, analytics, and business teams

  • Strong documentation and knowledge-sharing practices

Qualifications

  • 5+ years of experience in Power BI development, business intelligence, or analytics engineering

  • Demonstrated experience delivering production-grade reporting solutions used for operational or strategic decision-making

  • Experience working in data-driven environments with evolving data architecture and governance practices

Preferred Experience

  • Experience in education, EdTech, or multi-tenant data environments

  • Familiarity with Azure ecosystem (Synapse, Fabric, Data Factory, or similar)

  • Exposure to data governance, lineage, and semantic layer standardization

  • Experience supporting self-service analytics at scale

Why Join Us

  • Lead impactful analytics work that supports students, educators, and school systems nationwide

  • Be part of a growing Data Product organization shaping the future of analytics at PVS

  • Work in a collaborative environment that values innovation, ownership, and continuous improvement

  • Become part of the Pearson Virtual Schools mission where we are helping people achieve success through lifelong learning

Success in This Role Looks Like

  • Trusted, high-performing Power BI reports used consistently by stakeholders

  • Scalable semantic models enabling self-service analytics

  • Reduced data discrepancies and improved reporting reliability

  • Strong partnership across engineering, analytics, and business teams

  • Consistent delivery of reporting projects meeting and exceeding requirements and timeframes

Applications will be accepted through June 1. This window may be extended depending on business needs.

Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:

The full-time salary range is between $90,000 - $110,000

This position is eligible to participate in an annual incentive program, and information on benefits offered is here .

Who we are:

At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.

Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.

Job: Engineering

Job Family: TECHNOLOGY

Organization: Virtual Learning

Schedule: FULL_TIME

Workplace Type: Remote

Req ID: 24302

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