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From Home Data Engineer Jobs in Kansas (NOW HIRING)

Senior Data Engineer

Overland Park, KS ยท On-site

$104K - $142K/yr

... Level Data Engineer to join their Data Services Team. The right candidate will utilize their ... data from several internal and external sources, designing a cloud-focused data platform for ...

Jr/Mid SQL DBA

Kansas City, MO

$48.75 - $60.75/hr

Ensure data security, integrity, and compliance with best practices * Develop complex queries and reporting solutions using SSRS * Support physical and logical database administration for internal CR ...

Senior Data Engineer

Olathe, KS ยท On-site

$100 - $130/hr

Overview We are seeking a full-time Senior Data Engineer at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for leading administration of technology ...

Sr Engineer Data

Overland Park, KS ยท On-site

$106 - $149/hr

The Senior Data Engineer will design, build, and maintain scalable data infrastructure and data and ... your home to work with limited disruption. You must have reliable connectivity from an internet ...

Sr Engineer Data

Overland Park, KS ยท On-site

$104K - $142K/yr

The Senior Data Engineer will design, build, and maintain scalable data infrastructure and data and ... your home to work with limited disruption. You must have reliable connectivity from an internet ...

Sr Engineer Data

Overland Park, KS ยท On-site

$106 - $149/hr

The Senior Data Engineer will design, build, and maintain scalable data infrastructure and data and ... your home to work with limited disruption. You must have reliable connectivity from an internet ...

WORK FROM HOME

Overland Park, KS ยท On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

Showing results 41-60

From Home Data Engineer information

What is a from home data engineer?

A From Home Data Engineer is a professional who designs, builds, and maintains data systems and infrastructure while working remotely. They are responsible for collecting, processing, and storing large amounts of data, ensuring that it is accessible and usable for analysis. These engineers often use tools like SQL, Python, and cloud platforms such as AWS or Azure to manage data pipelines. Working from home, they collaborate with team members virtually to support business intelligence and data analytics needs.

What are the key skills and qualifications needed to thrive as a from home data engineer?

To thrive as a From Home Data Engineer, you need strong proficiency in programming languages like Python or Scala, a solid understanding of database systems, and typically a degree in computer science or a related field. Familiarity with big data technologies (such as Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and relevant certifications like AWS Certified Data Analytics are highly valued. Excellent problem-solving skills, self-motivation, and effective virtual communication are vital soft skills in remote settings. These skills and qualities enable efficient data processing, collaboration, and delivery of reliable analytics solutions while working independently from home.

How do from home data engineers typically collaborate with team members and stakeholders given the remote work setup?

From Home Data Engineers often rely on digital collaboration tools such as Slack, Zoom, and project management platforms to communicate with fellow engineers, data analysts, and business stakeholders. Regular virtual meetings, code reviews, and shared documentation help ensure everyone is aligned on project goals and timelines. While working remotely can present challenges like time zone differences and fewer face-to-face interactions, successful data engineers proactively schedule check-ins and participate in team channels to stay connected and maintain strong working relationships.

What is the difference between From Home Data Engineer vs From Home Data Analyst?

AspectFrom Home Data EngineerFrom Home Data Analyst
Required CredentialsBachelor's in CS, Engineering, or related; experience with cloud platformsBachelor's in Statistics, Math, or related; proficiency in data visualization tools
Work EnvironmentRemote, often collaborating with engineering teamsRemote, working with business teams to interpret data
Industry UsageTech, finance, healthcare, and moreRetail, marketing, finance, and other sectors
Common Search/ComparisonFrom Home Data Engineer vs From Home Data Analyst

While both roles involve working with data remotely, From Home Data Engineers focus on building data pipelines and infrastructure, whereas From Home Data Analysts interpret data to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

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 cities in Kansas are hiring for From Home Data Engineer jobs?

Cities in Kansas with the most From Home Data Engineer job openings:

Senior Data Engineer

Velocity Staff

Overland Park, KS โ€ข On-site

$104K - $142K/yr

Full-time

Re-posted 9 days ago


Job description

Velocity Staff, Inc. is working with our client located in the Overland Park, KS area to identify a Senior Level Data Engineer to join their Data Services Team. The right candidate will utilize their expertise in data warehousing, data pipeline creation/support and analytical reporting and be responsible for gathering and analyzing data from several internal and external sources, designing a cloud-focused data platform for analytics and business intelligence, reliably providing data to our analysts. This role requires significant understanding of data mining and analytical techniques. An ideal candidate will have strong technical capabilities, business acumen, and the ability to work effectively with cross-functional teams.


  • Work with Data architects to understand current data models, to build pipelines for data ingestion and transformation.
  • Design, build, and maintain a framework for pipeline observation and monitoring, focusing on reliability and performance of jobs.
  • Surface data integration errors to the proper teams, ensuring timely processing of new data.
  • Provide technical consultation for other team members on best practices for automation, monitoring, and deployments. 
  • Provide technical consultation for the team with โ€œinfrastructure as codeโ€ best practices: building deployment processes utilizing technologies such as Terraform or AWS Cloud Formation.

  • Bachelorโ€™s degree in computer science, data science or related technical field, or equivalent practical experience
  • Proven experience with relational and NoSQL databases (e.g. Postgres, Redshift, MongoDB, Elasticsearch)
  • Experience building and maintaining AWS based data pipelines: Technologies currently utilized include AWS Lambda, Docker / ECS, MSK 
  • Mid/Senior level development utilizing Python: (Pandas/Numpy, Boto3, SimpleSalesforce)
  • Experience with version control (git) and peer code reviews
  • Enthusiasm for working directly with customer teams (Business units and internal IT)
  • Preferred but not required qualifications include: 
    • Experience with data processing and analytics using AWS Glue or Apache Spark
    • Hands-on experience building data-lake style infrastructures using streaming data set technologies (particularly with Apache Kafka)
    • Experience data processing using Parquet and Avro
    • Experience developing, maintaining, and deploying Python packages
    • Experience with Kafka and the Kafka Connect ecosystem.
    • Familiarity with data visualization techniques using tools such as Grafana, PowerBI, AWS Quick Sight, and Excel.