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Remote Data Engineer Jobs in Topeka, KS (NOW HIRING)

Olsson

Civil Design Manager - Site Design

Topeka, KS · On-site +1

We engineer and design solutions that improve the world around us. As a company, we promise to ... This role offers flexible work options, including remote and hybrid opportunities, to accommodate ...

micro1 AI

Director of Biostatistics

Topeka, KS · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Topeka, KS

Remote Data Engineer information

See Topeka, KS salary details

$41.9K

$122.1K

$167K

How much do remote data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote data engineer in Topeka, KS is $122,075.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $129,400.00 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 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.

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 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.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Topeka, KS? The most popular types of Data Engineer jobs in Topeka, KS are:
What are popular job titles related to Remote Data Engineer jobs in Topeka, KS? For Remote Data Engineer jobs in Topeka, KS, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Topeka, KS look for? The top searched job categories for Remote Data Engineer jobs in Topeka, KS are:
What cities near Topeka, KS are hiring for Remote Data Engineer jobs? Cities near Topeka, KS with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you

Informatica powercenter with Teradata

CLOUDSCOUTS SOFTWARE SOLUTIONS LLC

Topeka, KS • Remote

$55/hr

Part-time

Re-posted 21 days ago

Job description

Remote : Informatica powercenter developer with Teradata exp. 
Most recent project must be Healthcare
10+ years and W2 role
H1b transfer is fine
H4 EAD,GC,USC 
Required Qualifications:
• 7+ years of experience with Informatica PowerCenter and ETL development.
• 5+ years of experience writing complex SQL and performance tuning.
• 5+ years of experience with Teradata (v17+), including Fastload, TPT, and Multiload utilities.
• 5+ years of Informatica PowerCenter administration experience.
• 2+ years of Unix Shell (Bash/Korn) scripting experience.
• Strong communication, collaboration, and mentoring skills.
• Bachelor’s or advanced degree in IT, Computer Science, Mathematics, or a related field.
• Strong organizational and time management skills.
Preferred Qualifications:
• Residing in or near Springfield, IL.
• 5+ years of data warehouse development experience.
• 5+ years of data modeling experience using ERWIN or similar tools.
• 2+ years of experience with Azure Data Factory and Snowflake.
• Experience with scripting languages such as Python, R, or JavaScript (React).
• Familiarity with Informatica Data Quality (IDQ), Address Doctor, and Metadata Manager.
• Experience with Medicaid, Medicare, or healthcare data systems.
• Experience working in Agile environments.
• Knowledge of BI and data integration technologies across relational and multidimensional
systems.
Key Responsibilities:
• Design and implement ETL solutions using Informatica PowerCenter to extract, transform, and
load data from various agency sources.
• Automate data staging processes and optimize ETL job scheduling for performance and
efficiency.
• Administer and support ETL environments, including development and production systems.
• Perform repository backups, recovery operations, and system maintenance.
• Develop mappings, mapplets, sessions, and workflows using a wide range of Informatica
transformations.
• Monitor and troubleshoot ETL jobs across development, testing, and production environments.
• Write and optimize complex SQL queries and Unix Shell scripts for data marts and interfaces in
Teradata.
• Collaborate with stakeholders to define requirements, document technical solutions, and
support project planning.
• Participate in unit, integration, and system testing.
• Provide technical support, mentoring, and guidance to team members.
• Communicate project status and deliverables to leadership and clients.
• Continuously learn and apply new technologies to enhance system performance and
capabilities.