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Remote Entry Level Data Engineering Jobs (NOW HIRING)

4 Staffing Corp

Data Engineer (Financial Services)

Newark, NJ · On-site +1

$119K - $143K/yr

Hybrid onsite/remote - Newark, NJ * No visa sponsorship or C2C at this time Our client is seeking a skilled and experienced Data Engineer with expertise in Fixed Income Capital Markets to join their ...

4 Staffing Corp

Data Engineer (Financial Services)

Newark, NJ · On-site +1

$119K - $143K/yr

Hybrid onsite/remote - Newark, NJ * No visa sponsorship or C2C at this time Our client is seeking a skilled and experienced Data Engineer with expertise in Fixed Income Capital Markets to join their ...

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

The ideal candidate will have a strong background in data engineering principles, experience with ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

The ideal candidate will have a strong background in data engineering principles, experience with ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

The ideal candidate will have a strong background in data engineering principles, experience with ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

The ideal candidate will have a strong background in data engineering principles, experience with ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

Boston, MA · Remote

$117K - $140K/yr

The ideal candidate will have a strong background in data engineering principles, experience with ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Delan Associates, Inc

Data Engineer II (Remote)

Arlington, VA · Remote

$117K - $140K/yr

Glider Data Engineering (Advanced) Overview seeking an experienced Data Engineer II to join the Analytics Solutions Team. This team partners with stakeholders to extract data from the Data Warehouse ...

Mondo

Data Engineer

Baltimore, MD · Remote

$100K - $150K/yr

The schedule can be structured rotationally, such as 1-2 weeks onsite followed by 1-2 weeks remote ... This is a hands-on engineering role focused on designing, building, and maintaining secure ...

First Citizens Bank

Data Engineer II

Tallahassee, FL · On-site +1

$108K - $130K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking a motivated Data Engineer II to join our Data Platform ...

First Citizens Bank

Data Engineer II

Carolina, RI · On-site +1

$115K - $138K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking a motivated Data Engineer II to join our Data Platform ...

First Citizens Bank

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking a motivated Data Engineer II to join our Data Platform ...

First Citizens Bank

Data Engineer II

Austin, TX · On-site +1

$113K - $136K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking a motivated Data Engineer II to join our Data Platform ...

First Citizens Bank

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking a motivated Data Engineer II to join our Data Platform ...

First Citizens Bank

Data Engineer II

Carolina, RI · On-site +1

$115K - $138K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking a motivated Data Engineer II to join our Data Platform ...

First Citizens Bank

Data Engineer II

Tallahassee, FL · On-site +1

$108K - $130K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking a motivated Data Engineer II to join our Data Platform ...

First Citizens Bank

Data Engineer II

Austin, TX · On-site +1

$113K - $136K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking a motivated Data Engineer II to join our Data Platform ...

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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:

Remote Entry Level Data Engineering jobs near you
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 (Financial Services)

4 Staffing Corp

Newark, NJ • On-site, Remote

$119K - $143K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Engineer (Financial Services)

Newark, New Jersey, United States

About the Job

Data Engineer (Fixed Income Capital Markets)

  • Full-time, direct employment
  • Hybrid onsite/remote - Newark, NJ
  • No visa sponsorship or C2C at this time

Job Description:

Our client is seeking a skilled and experienced Data Engineer with expertise in Fixed Income Capital Markets to join their dynamic team. The ideal candidate will possess a strong technical background in data engineering, with specific experience in containerization, Python API development, streaming/messaging systems, and capital markets within Fixed Income.

Responsibilities:

  • Containerization Expertise: Demonstrated proficiency in working with containerization technologies like ECS (Amazon Elastic Container Service) or Docker. Experience in deploying, managing, and scaling containerized applications in a production environment is essential.
  • Python API Development: Extensive experience in developing APIs using Python, with a focus on building scalable and efficient data pipelines. Knowledge of Snowflake Snowpark coding is highly desirable, including the ability to leverage Snowpark for data processing tasks.
  • Streaming and Messaging Systems: Strong understanding and practical experience with streaming platforms such as Kafka or Kinesis. Ability to design, implement, and optimize data streaming pipelines for real-time data processing and analysis.
  • Fixed Income Capital Markets: In-depth understanding of capital markets within Fixed Income, including bond markets, interest rates, credit products, and related financial instruments. Experience working with financial data and analytics in a Fixed Income context is highly preferred.
  • Data Engineering: Collaborate with cross-functional teams to design, build, and maintain data pipelines, ETL processes, and data warehouses. Ensure data quality, reliability, and scalability across various data sources and systems.
  • Problem Solving and Innovation: Proactively identify opportunities for process improvement, automation, and optimization within the data engineering infrastructure. Drive innovation by implementing best practices and emerging technologies in data engineering.
  • Communication and Collaboration: Work closely with data scientists, analysts, software engineers, and business stakeholders to understand requirements, gather feedback, and deliver impactful data solutions. Excellent communication skills are essential for effectively conveying technical concepts to non-technical audiences.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, Finance, or related field.
  • Strong programming skills in Python, with experience in API development and data manipulation.
  • Hands-on experience with containerization technologies like ECS or Docker.
  • Familiarity with Snowflake Snowpark for data processing tasks is a plus.
  • Proficiency in streaming/messaging systems such as Kafka or Kinesis.
  • Solid understanding of capital markets, particularly within Fixed Income.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and related services is advantageous.
  • Strong problem-solving skills, attention to detail, and a passion for continuous learning and improvement.

This is an exciting opportunity for a Data Engineer who thrives in a fast-paced environment and is passionate about leveraging cutting-edge technologies to drive innovation in Fixed Income Capital Markets. If you have the required skills and experience, we invite you to apply for immediate consideration.

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