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Remote Entry Level Data Engineering Jobs (NOW HIRING)

Data Engineer

Denver, CO ยท On-site +1

$85K - $125K/yr

Description Position at Ookla The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering team and help us process the world's best collection of data on mobile ...

Data Engineer

Denver, CO ยท On-site +1

$85K - $125K/yr

Description The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering team and help us process the world's best collection of data on mobile and fixed ...

Data Engineer

Denver, CO ยท On-site +1

$85K - $125K/yr

Description Position at Ookla The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering team and help us process the world's best collection of data on mobile ...

Als Consultant Data Engineering (m/w/d) unterstutzt du unsere Kunden beim Aufbau moderner ... Remote Working, Sabbaticals, Mitarbeiter:innen-Events, Well-being Angebote wie z. B.

Dein Impact: Als Manager AI & Data Engineering (m/w/d) bist du von der Konzeption bis zur ... B. Vertrauensarbeitszeit und EU Remote Working Vielfaltige Gestaltungsraume und aktive Forderung ...

Solutions Engineer - Data Engineering

$117K - $140K/yr

This position is primarily remote, with a home office setup provided in accordance with company ... Contribute to reusable frameworks, templates, and engineering best practices within the Data and AI ...

Als Senior Consultant Data Engineering (m/w/d) richtest du deinen Fokus auf die Verarbeitung ... B. Vertrauensarbeitszeit und EU Remote Working Vielfaltige Gestaltungsspielraume und aktive ...

Quality Data Engineering Intern

Niles, IL ยท On-site +1

$16.75 - $21.75/hr

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... The Quality Data Engineering intern will handle a variety of tasks and projects in the Quality Data ...

Quality Data Engineering Intern

Niles, IL ยท On-site +1

$16.75 - $21.75/hr

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... The Quality Data Engineering intern will handle a variety of tasks and projects in the Quality Data ...

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Remote Entry Level Data Engineering information

See salary details

$44.5K

$129.7K

$177.5K

How much do remote entry level data engineering jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote entry level 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 remote entry level data engineer?

A remote entry level data engineer is a professional who works from a location outside of a traditional office setting to help design, build, and maintain the data infrastructure and pipelines needed for organizations to collect and analyze data. These roles are suitable for individuals new to the field, often requiring foundational knowledge in programming, databases, and data processing tools. Entry level data engineers typically work under the guidance of more experienced team members and focus on tasks such as data cleaning, basic ETL (extract, transform, load) processes, and supporting data integration projects. Working remotely allows for flexibility and collaboration using digital communication tools.

What are the key skills and qualifications needed to thrive as a remote entry level data engineer?

To thrive as a Remote Entry Level Data Engineer, you need a foundational understanding of databases, data modeling, and programming languages such as Python or SQL, often supported by a relevant degree or coursework. Familiarity with cloud platforms (like AWS or Azure), ETL tools, and version control systems (such as Git) is typically required. Strong problem-solving skills, attention to detail, and effective virtual communication are essential soft skills for remote collaboration and troubleshooting. These skills ensure efficient data pipeline development, data integrity, and productive teamwork in distributed engineering environments.

What are some common challenges faced by remote entry level data engineers, and how can they be addressed?

Remote entry level data engineers often face challenges such as limited hands-on mentorship, understanding complex data pipelines, and collaborating across different time zones. To overcome these, it's helpful to proactively communicate with your team, seek feedback regularly, and make use of virtual collaboration tools. Participating in team meetings, asking questions, and accessing available documentation will help you build confidence and stay aligned with project goals.

What is the difference between Remote Entry Level Data Engineering vs Remote Junior Data Analyst?

AspectRemote Entry Level Data EngineeringRemote Junior Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; basic SQL and programming skillsBachelor's in related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, cloud platforms, data pipelinesReporting, data interpretation, dashboards
Industry UsageTech, finance, healthcare, e-commerceMarketing, retail, finance, healthcare

Remote Entry Level Data Engineering focuses on building data pipelines and managing data infrastructure, requiring technical skills like SQL and programming. Remote Junior Data Analysts interpret data, create reports, and support decision-making. While both roles involve working with data remotely, data engineers handle data infrastructure, whereas data analysts focus on analyzing and visualizing data to provide insights.

Can I work remotely as a remote entry level data engineer?

Yes, many entry-level data engineering roles are available as remote positions, especially with the rise of cloud-based tools like AWS, Azure, and GCP. These jobs typically require knowledge of SQL, Python, and data pipeline tools, and often offer flexible schedules for remote work.
More about Remote Entry Level Data Engineering jobs

What cities are hiring for Remote Entry Level Data Engineering jobs?

Cities with the most Remote Entry Level Data Engineering job openings:

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

The most popular types of Remote Data Engineering jobs are:

What job categories do people searching Remote Entry Level Data Engineering jobs look for?

The top searched job categories for Remote Entry Level Data Engineering jobs are:

Infographic showing various Remote Entry Level Data Engineering job openings in the United States as of August 2026, with employment types broken down into 77% Full Time, 4% Part Time, and 19% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Ziff Davis

Denver, CO โ€ข On-site, Remote

$85K - $125K/yr

Full-time

Re-posted 20 hours ago


Job description

Description
Position at Ookla

The Opportunity:

We're looking for an entry level Data Engineer to join the Ookla Data Engineering team and help us process the world's best collection of data on mobile and fixed internet performance. As a data engineer you will be focused on developing jobs, libraries and operations to support data scientists and analysts as they discover new and exciting ways to apply our data. Applicants should have a strong, data-focused programming background and be passionate about accuracy and performance. You will work on big data using the latest technologies.

Key Responsibilities:

  • Develop high volume data processing jobs across various platforms including Redshift, Athena, Iceberg, Spark and Airflow

  • Debug queries, monitor jobs, identify bottlenecks in system performance and improve efficiency
  • Support and collaborate with data scientists, analysts, and product managers

Job Requirements:

  • Bachelor's degree in Computer Science or related field or equivalent experience

  • 1+ year of professional experience in data engineering

  • Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling

  • Workflow orchestrators (Dagster, Airflow, Prefect)

  • Experience working with Python

  • Strong communication skills both in person and via virtual mediums
  • Background check required

Nice to have:

  • ETL/ELT design patterns

  • Experience with AWS cloud services
  • Experience with high volume distributed data processing in Spark

Aboutย 

Ookla, an Accenture company, is a global leader in connectivity intelligence that brings together the trusted expertise of Speedtest, Downdetector, Ekahau, and RootMetrics to deliver unmatched network and connectivity insights. By combining multi-source data with industry-leading expertise, we transform network performance metrics into strategic, actionable insights.


Our solutions empower service providers, enterprises, and governments with the critical data and insights needed to optimize networks, enhance digital experiences, and help close the digital divide. At the same time, we amplify the real-world experiences of individuals and businesses that rely on connectivity to work, learn, and communicate. From measuring and analyzing connectivity to driving industry innovation, Ookla helps the world stay connected.


About Accenture

Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.


Compensation Range

Ookla provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is $85,000 to $125,000 annually. Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance.