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Remote Data Engineering Jobs (NOW HIRING)

Position is currently remote but may work at or visit a facility based on business need. This position is within FirstEnergy Service Company, a subsidiary of FirstEnergy Corp. The Data Engineering ...

Data Engineer - Remote

Manhattan, NY · On-site +1

$126.10K - $151.40K/yr

Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key ... Perform data engineering and analytics tasks, including data ingestion, SQL orchestration, and data ...

Data Engineering Lead Location ... Remote (USA) About MediaRadar MediaRadar, an Industry Leader in Marketing Intelligence now ...

REMOTE - Data Scientist

$101.54K - $175.73K/yr

Cincinnati OR Remote Travel Required: 2-3 times yearly Job Summary The Data Science team at ... Strong grasp of MLOps practices and software engineering principles. * Experience with Snowflake ...

Director, Data Engineering

OR · On-site +1

$155.20K - $288K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our ... Build, mentor, and empower a high-performing team of data engineers and data professionals ...

Manager of Data Engineering Location: Toronto/GTA Company Overview: Our client is a premier Data Cloud and Business Intelligence consulting company specializing in helping businesses harness the ...

Remote Principal Software Engineer - Data Architecture and Engineering US-based only | No visa sponsorship | No third-party agencies We're seeking a Principal Engineer to establish data architecture ...

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Remote Data Engineering information

See salary details

$44.5K

$129.7K

$177.5K

How much do remote data engineering jobs pay per year?

As of May 31, 2026, the average yearly pay for remote 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 Remote Data Engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

How can I make $2000 a week working from home?

Remote data engineers can earn $2000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Achieving this income often requires advanced expertise, certifications, and experience with tools such as AWS or Azure, as well as the ability to handle multiple clients or projects simultaneously.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

More about Remote Data Engineering jobs
What cities are hiring for Remote Data Engineering jobs? Cities with the most Remote 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 Remote Data Engineering jobs? States with the most job openings for Remote Data Engineering jobs include:
Infographic showing various Remote Data Engineering job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 10% Part Time, and 4% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Supervisor Data Engineering

Supervisor Data Engineering

FirstEnergy

Akron, OH • Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 26 days ago


FirstEnergy rating

7.7

Company rating: 7.7 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

33rd of 50 rated energy and utility


Job description

About the Opportunity

We are a forward-thinking electric utility powered by a diverse team of employees committed to making customers' lives brighter, the environment better and our communities stronger.

FirstEnergy (NYSE: FE) is dedicated to integrity, safety, reliability and operational excellence. Headquartered in Akron, Ohio, FirstEnergy includes one of the nation's largest investor-owned electric systems, more than 24,000 miles of transmission lines that connect the Midwest and Mid-Atlantic regions, and a regulated generating fleet with a total capacity of more than 3,500 megawatts.

Location:  Position is currently remote but may work at or visit a facility based on business need. 

This position is within FirstEnergy Service Company, a subsidiary of FirstEnergy Corp.

The Data Engineering Supervisor will supervise the data engineers responsible for building and maintaining the data products that drive analytics solutions. These solutions will generate insights from the connected data within the unified data platform, enabling the organization to advance the data-driven decision-making capabilities of the enterprise.  Some of the environments this team frequently works with are Azure (including Data Lake Storage, Databricks and Machine Learning), Informatica PowerCenter and IDR, and legacy on-premise platforms such as SingleStore, Teradata, and Oracle.  The successful candidate will also perform the following responsibilities:

Responsibilities Include:

  • Actively leading a high performing, empowered team that develops data engineering solutions to serve enterprise data product needs, and to enable advanced analytics (machine learning models, artificial intelligence, and/or statistical models)
  • Oversight of contracted employees, ensuring project work meets contractual milestones and removing blockers as necessary
  • Ensuring adherence to data engineering standards and governance, as well as IT change management and related governance processes
  • Supporting numerous projects and activities simultaneously, ensuring that squad objectives are consistent with overall department objectives
  • Advocating a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions (including data modelling design methodologies).
  • Supporting the evaluation, implementation and deployment of emerging tools and processes for advanced analytical data engineering, as part of architecture road mapping efforts
  • Participating in the overall project planning for resource balancing for data engineers
  • Participating in vendor management processes including resolving support issues, product road mapping and license renewals
  • Performing quarterly check-in conversations with employees and providing coaching and feedback on performance, expectations, professional development, and career growth
  • Championing FirstEnergy's Core Values & Behaviors, through coaching and by personal example
  • Supporting major incidents, project activities and support concerns off hours as required

Qualifications include:

  • You have a bachelor's degree in a quantitative discipline such as Computer Science or another related field with 7 years related experience. In lieu of a degree, you have 9 years of related experience.
  • Expertise in data lakehouse technologies (such as Databricks or Snowflake) and streaming platforms
  • Expertise in design, build, and deployment of data solutions that support AI, ML, and BI
  • Proficiency in design and implementation of modern data architecture, including cloud services and modern data warehouse tools
  • Experience integrating data quality practices into Data Engineering development patterns
  • Experience developing and implementing operational plans, which may include budgets, processes, and road maps
  • Experience in Agile/Scrum development with DevOps methodologies geared toward rapid prototyping and piloting of cloud solutions
  • Knowledge of ITIL concepts with a focus on configuration management, change management, and incident management
  • Strong interpersonal, communications, presentation, training & mentoring skills
  • Ability to observe employees, assess performance, and provide feedback

Ability to plan for and support employees in career development opportunities

Benefits, Compensation & Workforce Diversity 
At FirstEnergy, employees are key to our success. We depend on their talents to meet the challenges of our changing business environment. We are committed to rewarding individual and team efforts through our total rewards philosophy which includes competitive pay plus incentive compensation, a company-sponsored pension plan, 401(k) savings plan with matching employer contribution, a choice of medical, prescription drug, dental, vision, and life insurance programs, as well as skills development training with tuition reimbursement. Please visit our website at www.firstenergycorp.com to learn more about all of our employee rewards programs. FirstEnergy proudly supports workforce diversity. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with a disability. No recruiters or agencies without a previously signed contract. Unable to sponsor or transfer H-1B visas at this time. 
Safety 
Safety is a core value for FirstEnergy and is essential to all of our business activities. We ensure employees have the tools, information, and processes to perform their duties in a manner that assures safety for themselves, their co-workers, our customers and the public. Our goals are to provide a safe work environment, to maintain an accident-free, injury-free workplace, and to promote and maintain public safety. To meet these goals, we dedicate ourselves to achieving world-class safety standards. 
Position Classification 
Exempt 


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