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Remote Data Engineering Jobs (NOW HIRING)

$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 ...

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Remote Data Engineering information

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$44.5K

$129.7K

$177.5K

How much do remote data engineering jobs pay per year?

As of Sep 8, 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:

What are popular job titles related to Remote Data Engineering jobs?

For Remote Data Engineering jobs, the most frequently searched job titles are:

Infographic showing various Remote Data Engineering job openings in the United States as of September 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.

Manager of Data Engineering

Tampa, FL • Remote

Suncoast Credit Union
Commercial Banking • 501 - 1,000 employees

$105K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Key responsibilities

  • Manage the daily operations of the data engineering team, fostering a culture of innovation, collaboration, and continuous improvement.

  • Manage the Credit Union's data infrastructure to develop operational data pipelines and oversee the design and development of ETL processes.

  • Oversee the deployment of data architectures, guide the team in utilizing Azure Data Factory, and provide technical assistance regarding system and reporting issues.


Suncoast Credit Union rating

8.3

Company rating: 8.3 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

Overview

Compensation: $105,000 - $150,000 annually based on experience and credentials

Location Type: Remote (candidate must reside in FL)
Position Type: Full Time

The Data Engineering Manager will oversee the credit union's data engineering team, ensuring the design, evaluation, and testing of robust data infrastructures. This role involves managing the daily operations of the data engineering team, coordinating with various departments to meet data needs, and implementing best practices for data management and infrastructure. The manager will foster a culture of innovation, collaboration, and continuous improvement within the team to support the organization's strategic goals. Additionally, the manager will assign work and delegate responsibilities to staff, monitoring progress to ensure goals are met and high-quality member service is maintained.


Responsibilities
  • Manage the daily operations of the data engineering team, fostering a culture of innovation, collaboration, and continuous improvement.
  • Manages the Credit Union's data infrastructure to develop operational data pipelines 
  • Guide the team in utilizing Azure Data Factory to create pipelines, tuning databases and ETL for maximum performance, performing data profiling, cleansing, and auditing, architecting advanced data solution
  • Supervise the design and development of ETL processes for extracting data from multiple source systems, transforming it, and loading it into data platforms
  • Leverages the Agile framework to prioritize and complete ad hoc and department-related tasks
  • Leverage existing data infrastructure to fulfill data-related requests, perform data housekeeping,cleansing, normalization, hashing, and implement required data model changes
  • Oversee the deployment of data architectures based on standards set by the manager to drive Suncoast's data strategy and transform business strategies into information architectures.
  • Provides technical assistance to end-users and technical staff regarding system and reporting issues.
  • Inform end-users and technical support staff on data warehouse applications and reporting services.
  • Review and recommend new methods or procedures to make daily operations more efficient
  • Perform considerable short-term planning, scheduling, and coordinating to develop and implement business objectives
  • Set goals for assigned teams to achieve operational and strategic results
  • Provide guidance, mentoring, and development opportunities for directly reporting staff
  • Cultivate strong working relationships, build trust among team members, and respond appropriately to employees' concerns
  • Assist with the development, monitoring, and maintenance of the annual budget
  • Assist with regulatory compliance to ensure work is completed in accordance with applicable laws and government regulations
  • Maintain knowledge and understanding of current trends, laws, and issues affecting area of expertise
  • Attend educational events to increase professional knowledge
  • Complete annual compliance and info security training to understand employees' role in maintaining effective compliance and security programs

Qualifications
  • Bachelor’s degree in computer science, data science, information technology, information systems, engineering, mathematics or a related field required.
  • 5 or more years progressively responsible experience in data engineering, preferably with a financial institution. Previous supervisory experience required.
  • Advanced technical skills including SQL DW, SSRS, PowerBI, and other data visualization software knowledge required. 
  • Proficient knowledge of Azure or Apache Spark required
  • Proficiency in SQL, Python, Delta Lake, Azure Data Factory, and other relevant technologies
  • Skills in using Databricks Unity Catalog for data management and proficiency in writing and managing Databricks notebooks
  • A solid understanding of Blob / Data Lake Storage.
  • Excellent organization, prioritization and analytical skills to effectively manage areas of responsibility and attain organizational goals
  • Excellent written, verbal, and interpersonal communication skills to interact effectively with members, staff, vendors, and government regulators
  • Ability to analyze and resolve complex problems or situations
  • Ability to positively influence others regarding policies, practices, and procedures
  • Strong knowledge and understanding of credit union products, services, policies, and procedures preferred
  • Strong knowledge and understanding of regulatory compliance
  • Strong knowledge and understanding of credit union computer systems and software applications required to perform job duties preferred

Benefits

  • Financial Well-Being: Bonus Program up to 18%, 401K Matching up to 8%, Retirement Planning, Pay Increases based on Competency, Employee Loan Discounts, Flex Spending Accounts
  • Wellness: Medical Coverage, Dental and Vision Coverage, Access to 4,000+ Gyms, Mental Health Resources, PTO Wellness Days, Short Term and Long Term Disability Coverage
  • Work-Life Balance: 11 Paid Holidays, 3 weeks of Paid Time Off, 4 weeks of Paid Parental Leave, Birthday PTO
  • Community Involvement: Paid Volunteer Hours
  • Growth: Degree Assistance up to $5,000 per year

For more information, including additional benefits, please visit our benefits website at https://careers.suncoastcreditunion.com/benefits

Company Overview

Suncoast Credit Union is consistently chosen as a Tampa Bay Times Top Workplace because its employees genuinely #LOVEWORK! Employees flourish in an inclusive culture celebrating growth and prioritizing the community. 
For more information, please visit our careers site at https://careers.suncoastcreditunion.com/

Qualifications:
  • Bachelor’s degree in computer science, data science, information technology, information systems, engineering, mathematics or a related field required.
  • 5 or more years progressively responsible experience in data engineering, preferably with a financial institution. Previous supervisory experience required.
  • Advanced technical skills including SQL DW, SSRS, PowerBI, and other data visualization software knowledge required. 
  • Proficient knowledge of Azure or Apache Spark required
  • Proficiency in SQL, Python, Delta Lake, Azure Data Factory, and other relevant technologies
  • Skills in using Databricks Unity Catalog for data management and proficiency in writing and managing Databricks notebooks
  • A solid understanding of Blob / Data Lake Storage.
  • Excellent organization, prioritization and analytical skills to effectively manage areas of responsibility and attain organizational goals
  • Excellent written, verbal, and interpersonal communication skills to interact effectively with members, staff, vendors, and government regulators
  • Ability to analyze and resolve complex problems or situations
  • Ability to positively influence others regarding policies, practices, and procedures
  • Strong knowledge and understanding of credit union products, services, policies, and procedures preferred
  • Strong knowledge and understanding of regulatory compliance
  • Strong knowledge and understanding of credit union computer systems and software applications required to perform job duties preferred

Benefits

  • Financial Well-Being: Bonus Program up to 18%, 401K Matching up to 8%, Retirement Planning, Pay Increases based on Competency, Employee Loan Discounts, Flex Spending Accounts
  • Wellness: Medical Coverage, Dental and Vision Coverage, Access to 4,000+ Gyms, Mental Health Resources, PTO Wellness Days, Short Term and Long Term Disability Coverage
  • Work-Life Balance: 11 Paid Holidays, 3 weeks of Paid Time Off, 4 weeks of Paid Parental Leave, Birthday PTO
  • Community Involvement: Paid Volunteer Hours
  • Growth: Degree Assistance up to $5,000 per year

For more information, including additional benefits, please visit our benefits website at https://careers.suncoastcreditunion.com/benefits

Company Overview

Suncoast Credit Union is consistently chosen as a Tampa Bay Times Top Workplace because its employees genuinely #LOVEWORK! Employees flourish in an inclusive culture celebrating growth and prioritizing the community. 
For more information, please visit our careers site at https://careers.suncoastcreditunion.com/

Education:UNAVAILABLEEmployment Type: FULL_TIME

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