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Remote Data Engineering Jobs (NOW HIRING)

Senior Manager, Data Engineering

Towson, MD ยท Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Manager, Data Engineering - Remote Towson, MD USA Come make the world and accelerate your success. It takes great people to achieve greatness. People with a sense of purpose and integrity.

Data Engineer - Remote

Manhattan, NY ยท On-site +1

$126K - $151K/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 ...

Senior Manager, Data Engineering

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Manager, Data Engineering - Remote Towson, MD USA Come make the world and accelerate your success. It takes great people to achieve greatness. People with a sense of purpose and integrity.

We are seeking a Manager of Data Engineering to lead and strengthen our data engineering capabilities within the organization. This role is responsible for driving execution excellence, delivering ...

This position is fully remote * This role is an People Leader position A day in the life as a Senior Director, Data Engineering... * Provide executive leadership and strategic direction for a multi ...

Showing results 21-40

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 Aug 19, 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 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.

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

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 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 August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

REMOTE Data Analyst

Catasys Health

Los Angeles, CA โ€ข Remote

Full-time

Re-posted 19 days ago


Job description

Company Description

Catasys is making a positive impact on people's lives every day. We use predictive analytics to identify health plan members with unaddressed behavioral health conditions that worsen chronic disease, then engage, support and guide these members to better health with a personalized, human-centered approach.ย  This has led us to where we are today: growing fast and saving lives as we do.

To support our explosive growth, we're looking for compassionate, hard-working people-lovers to join our team. If innovating in the field of patient care is something you're passionate about, we encourage you to join our mission to improve the health and save the lives of as many people as possible.

Impact lives in so many ways
You'll be an integral part in supporting people coping with their unique life challenges. Every member of the Catasys team contributes to accomplishing our goals and upholding our people-centric values.
The new face of mental health
Our model is research-based, and we are invested in staying on the leading edge of treatment. You'll help us break down barriers and stigmas associated with mental health.
Career options
Our ongoing strong growth and evolution, we are looking for people who want to do their best at work.ย  ย Join our team and take your career to the next level with Catasys. We are committed to promoting from within.
Excellent compensation

Job Description

As a Data Analyst, you willย drive innovation, growth, and contributeย to the company's ability to scale. Your work continually broadens access to reliable, accurate, and timely data to improve decision making. You will transform data into insights, leading to faster and more extensive exploratory analysis and quicker action based on evidence. Your insights will help grow the business by accelerating sales and customer expansion cycles, reinforcing Catasys' position as an industry leader in data and analytics. You excel at synthesize and communicate complex concepts and analyses in easy to understand ways.
ย 

Responsibilities

  • Dive into data to predict and quantify user behavior: our members, Care Team, and network providers.
  • Find actionable strategic insights through funnels, cohort analyses, user segmentation, retention analyses and regression models to help us grow our products.
  • Data storytelling: quantify user journeys to help identify opportunities to improve member outcomes and team productivity.
  • Become a Catasys subject matter expert to understand and anticipate the data needs of customers, Product, User Experience, and internal stakeholders.
  • Translate high-priority business problems to solve into concise measures.
  • Lead the Analytics Center of Excellence: a cross-functional team of Data Champions within the organization.
  • Drive a culture of analytical rigor and transparency, and shared understanding of measures
  • Work both collaboratively and autonomously.
  • Define KPIs, build automated dashboards, reports, and models to help teams make faster better decisions.
  • Work with engineering and product to implement, quality assurance, and monitor our logging and metrics.
Qualifications
  • Bachelor's Degree in Computer Science, math, economics, statistics, or other quantitative fields
  • 2+ years' experience with PowerBI DAX Programming
  • Expertise performing quantitative analysis
  • Excellent communication and presentation skills: you understand your audience and how to effectively present information to diverse stakeholders
  • Strong understanding of statistical methods and applications (A/B testing, probability, regression)
Additional Information

This position is REMOTE.