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Full Time Data Engineering Jobs (NOW HIRING)

Jane Street

Data Engineer

New York, NY · On-site

$125K - $150K/yr

... work at Jane Street full time. Over the course of your internship, you will explore ways to ... As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable ...

Jane Street

Data Engineer

New York, NY

$125K - $150K/yr

... work at Jane Street full time. Over the course of your internship, you will explore ways to ... As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable ...

In-N-Out Burger

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

Irvine, CA Work Type: Full-time Department: Information Technology Description & Requirements Come join our family at In-N-Out Burgers! We have an excellent opportunity for a full-time Data Engineer ...

In-N-Out Burgers

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

We have an excellent opportunity for a full-time Data Engineer III in the I.T. department in our Irvine, CA office. This role operates in a highly collaborative environment where Data Engineers work ...

In-N-Out Burger

Data Engineer III

Irvine, CA · On-site

$121K - $145K/yr

They are seeking a full-time Data Engineer III to work in a collaborative environment focused on data integration, development, and business intelligence to support reporting and analytics. The role ...

Stem Xpert

Fulltime- Data Architect

Miami, FL · On-site

$61 - $78.50/hr

... Data Architect Location:- Miami, FL Duration:- Fulltime Salary:- 140-145K with Benefit including ... The role is that of an advisor / consultant and not as a developer. Key responsibilities * Lead the ...

LP Building Solutions

Data Scientist

Nashville, TN · On-site

... a full-time data scientist to join the data analytics team. Leveraging advanced analytical ... While this role does not require hands-on data engineering responsibilities, it demands close ...

America Votes

Data Engineer (Cycle)

Washington, DC · On-site

Position Description America Votes is looking for a full-time Data Engineer for the 2026 cycle. This person will build and maintain the pipelines, models, and infrastructure that power data work ...

Astrana Health, Inc.

$140K - $160K/yr

Data - Engineering Employment Type: Full Time Location: 1668 S. Garfield Ave. 2nd Floor, Alhambra, CA 91801 Compensation: $140,000 - $160,000 / year Description We are seeking a highly motivated ...

America Votes

Data Engineer (Cycle)

Washington, DC · Remote

$85K - $100K/yr

Position DescriptionAmerica Votes is looking for a full-time Data Engineer for the 2026 cycle. This person will build and maintain the pipelines, models, and infrastructure that power data work ...

America Votes

Data Engineer (Cycle)

Washington, DC · On-site

$85K - $100K/yr

Position Description America Votes is looking for a full-time Data Engineer for the 2026 cycle. This person will build and maintain the pipelines, models, and infrastructure that power data work ...

University of Michigan

Data and AI Engineer

Ann Arbor, MI · On-site

$112K - $134K/yr

We partner closely with Michigan Medicine, Michigan Engineering, and other institutional units to deliver services researchers can rely on. Job Summary We're hiring a full-time Data and AI Engineer ...

America Votes

Data Engineer (Cycle)

Washington, DC

Position Description America Votes is looking for a full-time Data Engineer for the 2026 cycle. This person will build and maintain the pipelines, models, and infrastructure that power data work ...

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Full Time Data Engineering information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Aug 10, 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 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 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 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.

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 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

Jane Street

New York, NY • On-site

$125K - $150K/yr

Full-time

Re-posted 18 days ago

Job description

About the Position
Our goal is to give you a real sense of what it's like to work at Jane Street full time. Over the course of your internship, you will explore ways to approach and solve exciting problems within your field of interest through fun and challenging classes, interactive sessions, and group discussions - and then you will have the chance to put those lessons to practical use.
As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable foundations for research and trading. You'll write Python, SQL, and OCaml; use open-source tools and proprietary software; and work with a mix of structured and unstructured data (think world news, decades of weather patterns, deidentified credit card spending, or packet captures of stock exchange market data feeds).
During the internship you'll take on two real projects. You'll get your hands on an unfamiliar dataset, figure out what it actually contains, dig into parts that don't make sense, and explain your findings. You'll write code to ingest and transform data and to monitor its quality. You'll be mentored by full-time Data Engineers and learn about business context from data users, but the projects will be yours to own.
Learn more about Jane Street's internship program here.
About You
We don't expect you to have a background in computer science, data engineering, finance, or any other specific field-we're looking for smart, inquisitive people who enjoy solving interesting problems. We're more interested in how you think and learn than what you currently know. You should be:
  • Curious about what data means, not just how to move it from one place to another
  • Comfortable manipulating data in Python, SQL, R, or similar. You don't need to be a polished software engineer, but you should be able to turn an idea into working code
  • An analytical and logical thinker. You're able to investigate something new, ask good questions, and come to sound conclusions
  • Humble and eager to ask questions, admit mistakes, and learn new things
  • Courteous, reliable, and organized
  • A clear verbal and written communicator

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