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Full Time Data Engineering Jobs (NOW HIRING)

Garmin International, Inc.

Data Engineer 2

Olathe, KS · On-site

$110K - $133K/yr

Overview We are seeking a full-time Data Engineer 2 at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for contributing to data development and ...

Moda Operandi

Manager of Data Engineering

Brooklyn, NY · On-site

$200K - $220K/yr

Data Engineering & Platform Ownership * Lead the design, development, and operation of scalable ... Job Type : Full-time; Hybrid role; NYC based (Brooklyn office space) Salary: $200,000 - $220,000 ...

Garmin International, Inc.

Data Engineer 2

Boulder, CO · On-site

$99K/yr

Overview We are seeking a full-time Data Engineer 2 at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for contributing to data development and ...

DraftKings

Data Engineering Manager, Customer

The Crown Is Yours As a Data Engineering Manager, Customer, you'll lead a team building scalable ... The US base salary range for this full-time position is 153,400.00 USD - 191,800.00 USD, plus bonus ...

New England Life Care

Data Warehouse Developer

Canton, MA · On-site

$120K - $139K/yr

New England Life Care is hiring a full-time Data Warehouse Developer to join our growing team! This hybrid position is full-time, Monday - Friday position. **Currently only hiring for remote ...

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How much do full time data engineering jobs pay per year?

As of Sep 3, 2026, the average yearly pay for full time data engineering in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a full time data engineer?

Full time data engineering jobs involve building, managing, and optimizing data pipelines and infrastructure to collect, process, and store large volumes of data for organizations. Data engineers work with technologies like SQL, Python, cloud platforms, and big data tools to ensure data is reliable and accessible for analytics and business decision-making. These roles typically require strong programming skills, knowledge of database systems, and experience with data modeling and ETL (Extract, Transform, Load) processes. Full time positions generally offer benefits and require a standard workweek commitment, often in tech, finance, healthcare, or other data-driven industries.

What are the key skills and qualifications needed to thrive as a full time data engineer?

To thrive as a Full Time Data Engineer, you need strong programming skills (such as Python or Java), proficiency in SQL, and a solid understanding of data modeling and ETL processes, usually supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop or Spark), cloud platforms (such as AWS or Azure), and relevant certifications (e.g., Google Cloud Data Engineer) is highly valuable. Excellent problem-solving, communication, and teamwork abilities distinguish top performers in this role. These skills ensure efficient data infrastructure development, reliable data pipelines, and effective collaboration with cross-functional teams to support business objectives.

What are some common challenges faced by full time data engineers, and how can they be addressed?

Full-time data engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality, and optimizing data pipelines for scalability and performance. These issues can be addressed by adopting robust ETL (Extract, Transform, Load) frameworks, implementing automated data validation tests, and collaborating closely with data analysts and software engineers to align on data requirements. Staying updated with the latest cloud technologies and best practices in data architecture also helps in overcoming these challenges and maintaining efficient, reliable data systems.

What is the difference between Full Time Data Engineering vs Part Time Data Engineering?

AspectFull Time Data EngineeringPart Time Data Engineering
Work HoursTypically 40 hours/weekLess than 20 hours/week
CredentialsRelevant degrees, certifications like AWS, GCP, or AzureSame as full-time, but often less emphasis on certifications
Work EnvironmentFull-time employment, often in corporate or tech firmsFreelance or contract basis, flexible locations
Job ResponsibilitiesDesigning, building, maintaining data pipelinesSupporting existing pipelines, smaller projects

Full Time Data Engineering involves a standard 40-hour workweek with comprehensive responsibilities in designing and maintaining data systems. Part Time Data Engineering offers flexible hours, often focusing on specific tasks or projects. Both roles require relevant technical skills and certifications, but full-time positions typically demand more extensive experience and commitment.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Organizations seek professionals skilled in tools like SQL, Python, and cloud platforms to build and maintain data pipelines, making this a stable and growing career field.

What cities are hiring for Full Time Data Engineering jobs?

Cities with the most Full Time Data Engineering job openings:

What are the most commonly searched types of Data Engineering jobs?

The most popular types of Data Engineering jobs are:

What states have the most Full Time Data Engineering jobs?

States with the most job openings for Full Time Data Engineering jobs include:

Full Time Data Engineering jobs near you

Data Engineer 2

Garmin International, Inc.

Olathe, KS • On-site

$110K - $133K/yr

Full-time

Posted 9 days ago

Garmin rating

8.8

Company rating: 8.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

14th of 161 rated electronics manufacturers

Job description

Overview
We are seeking a full-time Data Engineer 2 at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for contributing to data development and operational stability of the Big Data ecosystems.
Essential Functions
  • Provides technical input to feature development plans and concept documents
  • Understands production and operations issues as they relate to engineering
  • Configures and administers data servers and Hadoop components
  • Develops scalable, extensible solution architectures leveraging contemporary big-data technologies in an evolving operational framework
  • Analyzes existing data structures and recommends improvements
  • Partners with team lead to identify technical requirements and alternatives to accomplish projects, leads major incident troubleshooting involving multiple disciplines and develops reliable solutions to complex problems which require ingenuity and creativity
  • Participates in design, code, test, maintenance, enhance and decommission phases throughout software life cycle to contribute technical expertise and to identify issues
  • Participates in and helps guide research POCs, including design, coding, and performance and efficacy measurement
  • Provides significant contributions to defining team roadmap and priorities, facilitates team discussions and plans, and offers innovative suggestions within area of discipline
  • Demonstrates broad understanding of Garmin's business model, including various departments and is recognized as an expert in assigned discipline and applies extensive technical expertise and analysis to initiatives
  • Researches new technologies and proposes cost effective solutions and contributes input to broader technology solutions outside of discipline
  • Provides 24x7 on call support

Basic Qualifications
  • Bachelor's Degree in Computer Science, Information Technology, Management Information Systems, Business or related field AND a minimum of 2 years relevant experience
  • Experience with one or more of the following: Star Schema Modeling, Spark, or Hadoop
  • Experience developing SSIS packages or similar technologies to support data integration processes
  • Experience tuning and optimizing ETL jobs to perform at scale
  • Experience writing complex queries combining data from disparate systems
  • Experience with Java, Hadoop and various components
  • Experience developing data visualizations
  • Demonstrated ability to implement new technologies effectively
  • Demonstrated strong and effective verbal, written, and interpersonal communication skills
  • Consistently demonstrates quality and effectiveness in work documentation/organization

Desired Qualifications
  • Building data models and transformations inside PowerBI
  • Experience with real-time streaming technologies such as Kafka
  • Experience developing data visualizations using PowerBI
  • Experience designing, building, and maintaining star schema models

Garmin International is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.
This position is eligible for Garmin's benefit program. Details can be found here: Garmin Benefits

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