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Remote Data Engineer Jobs in Delray Beach, FL (NOW HIRING)

Data Engineer

FL · On-site +1

$64K - $129K/yr

Role Summary The Data Engineer supports the delivery of modern data solutions across commercial, operational, and enterprise domains within CSA engagements. The role focuses on building and ...

Remote, US based Position type: Full Time Employee Compensation: $190.000 (base + bonus) Job ... The position will work closely with the client's engineering teams and internal Data Meaning ...

Remote, US based Position type: Full Time Employee Compensation: $190.000 (base + bonus) Job ... The position will work closely with the client's engineering teams and internal Data Meaning ...

US - Remote Position type: temporary - TDB Position Summary We are looking for a highly skilled ... The ideal candidate will work closely with business stakeholders, data engineering teams, and ...

US - Remote Position type: temporary - TDB Position Summary We are looking for a highly skilled ... The ideal candidate will work closely with business stakeholders, data engineering teams, and ...

... CD, DevOps, and healthcare interoperability (FHIR, HL7) is preferred. Certifications: TOGAF, AWS/Azure/GCP Solutions Architect, CDMP, Cloud Data Architect, Snowflake Architect. Remote with some ...

The individual will work closely with scientists, field teams, operations personnel, engineers, and ... Geospatial and Remote Sensing Analytics - Working knowledge of GIS, spatial statistics ...

... data, and collaborate closely with product, QA, and design teams in an Agile environment. This is a US-based, remote-friendly contract-to-hire opportunity for high-performing engineers. WHAT YOU WILL ...

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Remote Data Engineer information

See Delray Beach, FL salary details

$41.8K

$121.8K

$166.7K

How much do remote data engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote data engineer in Delray Beach, FL is $121,804.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $129,100.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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 in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

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

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

What are the most commonly searched types of Data Engineer jobs in Delray Beach, FL?

The most popular types of Data Engineer jobs in Delray Beach, FL are:

What are popular job titles related to Remote Data Engineer jobs in Delray Beach, FL?

For Remote Data Engineer jobs in Delray Beach, FL, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Delray Beach, FL look for?

The top searched job categories for Remote Data Engineer jobs in Delray Beach, FL are:

What cities near Delray Beach, FL are hiring for Remote Data Engineer jobs?

Cities near Delray Beach, FL with the most Remote Data Engineer job openings:

Infographic showing various Remote Data Engineer job openings in Delray Beach, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $121,804 per year, or $58.6 per hour.

Data Engineer

Carrier

FL • On-site, Remote

$64K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Carrier rating

7.4

Company rating: 7.4 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

292nd of 495 rated machine equipment manufacturers


Job description

About Carrier
Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, lifesaving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow on Carrier social media at @Carrier.
Role Summary
The Data Engineer supports the delivery of modern data solutions across commercial, operational, and enterprise domains within CSA engagements. The role focuses on building and maintaining data pipelines, integrating diverse data sources, and contributing to open lakehouse and medallion-layered architectures. Working closely with senior engineers, solution architects, and data product leads, the engineer translates requirements into reliable, production-ready data assets that enable analytics, reporting, and data products.
Core Responsibilities
Data Pipeline Development
  • Build and maintain data ingestion, transformation, and delivery pipelines that support batch and micro-batch workloads.
  • Develop ETL/ELT workflows that integrate data from enterprise systems, operational platforms, and external sources.
  • Implement scalable data processing patterns aligned with open lakehouse and medallion-layered architectures.
  • Ensure pipelines are reliable, maintainable, and aligned with engineering best practices.

Data Modeling and Architecture Support
  • Contribute to the design of data models across raw, refined, and curated layers.
  • Apply medallion architecture principles to support data quality, consistency, and reusability.
  • Support integration of ERP and enterprise systems by preparing, transforming, and harmonizing source data.
  • Participate in discussions on performance, scalability, and data design decisions.

Data Governance and Quality
  • Implement data validation rules, quality checks, and monitoring to ensure accuracy and reliability.
  • Apply foundational data governance practices including lineage, metadata management, and cataloging.
  • Collaborate with governance and data product teams to ensure compliance with enterprise standards.

Collaboration and Delivery
  • Work with CSA teams, senior engineers, and data product leads to understand requirements and translate them into technical tasks.
  • Partner with customer engineering and analytics teams to support onboarding and operationalization of delivered pipelines.
  • Participate in Agile ceremonies and contribute to sprint planning, estimation, and delivery.
  • Communicate progress, blockers, and technical considerations clearly to teammates and stakeholders.

Required Qualifications
  • Bachelor's Degree.
  • 3+ years of experience as a data engineer, with demonstrated hands-on delivery of data pipelines and models
  • 3+ years of experience building data pipelines, transformations and data models using SQL, Python, and modern ETL/ELT development practices.
  • Must have unrestricted authorization to work in the USA. No visa sponsoring available.

Preferred Qualifications
  • Understanding of open lakehouse concepts and medallion-layered data product design.
  • Familiarity with data integration patterns, orchestration, and distributed data processing.
  • Experience working with ERP or enterprise systems and preparing data for downstream consumption.
  • Ability to work in customer-facing delivery environments and collaborate with cross-functional teams.
  • Strong communication skills for explaining technical concepts and collaborating effectively.
  • Experience working within Agile delivery models.
  • Experience with cloud platforms and modern data ecosystems, including:
    • AWS services such as object storage, orchestration, and data transformation tools.
    • Data replication tools for enterprise systems.
    • Snowflake for data warehousing and transformation.
    • GCP services such as BigQuery, Dataflow, BigLake, and cloud storage.
  • Exposure to commercial, operational, or enterprise analytics use cases.
  • Familiarity with CI/CD, infrastructure-as-code, and DevOps practices.

Pay Range
The annual salary for this position is between $64,500.00 - $129,500.00 annually. Factors which may affect pay within this range include, but are not limited to, skills, education, experience, and other unique qualifications of the successful candidate.
Other Compensation
This position may be entitled to short-term cash incentives, subject to plan requirements.
Benefits
Employees are eligible for benefits, including:
  • Health Care Benefits: Medical, Dental, Vision; Wellness incentives
  • Retirement Benefits
  • Time off and Leave: Paid vacation days, up to 15 days; paid sick days, up to 5 days; paid personal leave, up to 5 days; paid holidays, up to 13 days; birth and adoption leave; parental leave; family and medical leave; bereavement leave; jury duty leave; military leave; purchased vacation
  • Disability: Short-term and long-term disability
  • Life Insurance and Accidental Death and Dismemberment
  • Tax-Advantaged Accounts: Health Savings Account; Health Care Spending Account; Dependent Care Spending Account
  • Tuition Assistance

To learn more about our benefits offering, please click here Work with us | Carrier CorporateThe specific benefits available to any employee may vary depending on state and local laws and eligibility factors, such as date of hire and the applicability of collective bargaining agreements.
Carrier EEO Statement and Accommodations Process
Carrier is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status or any other applicable state or federal protected class. Carrier provides affirmative action in employment for qualified individuals with a Disability and Protected Veterans in compliance with section 503 of Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
If you require a reasonable accommodation to complete the application process, participate in an interview, or otherwise engage in the hiring process, please contact us at Carrier.Recruiting@carrier.com. We will make every effort to meet your needs in accordance with applicable laws.
Application Deadline
Applications will be accepted for at least 3 days from Job Posting Date: 21 August 2026
Job Applicant's Privacy Notice
Please click on the link to review the Job Applicant Privacy Notice.
Use of AI
Technology-enabled tools may support parts of the recruitment process, with oversight by people.

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About Carrier

Sourced by ZipRecruiter

Carrier is the leading global provider of healthy, safe and sustainable building and cold chain solutions with a world-class, diverse workforce with business segments covering HVAC, refrigeration, and fire and security. We make modern life possible by delivering safer, smarter and more sustainable services that make a difference to people and our planet while revolutionizing industry trends. This is why we come to work every day. Join us and we can make a difference together.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Palm Beach Gardens, FL, US