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Remote Senior Data Engineer Jobs (NOW HIRING)

Jobgether

$81K - $111K/yr

This is a high-impact opportunity for an experienced engineer who enjoys solving complex data challenges in a remote environment. Accountabilities: The Senior Data Engineer will be responsible for ...

Transcend Business Solutions

Be Seen First

Senior Data Engineer

Albany, NY · Remote

$45 - $55/hr

Fully Remote Duration: 6 months (strong chance of extension) Sparks experience is a must Green Card or US Citizen only Description: Client is building a new platform for the state of NY for all ...

NTENT

Senior Data Engineer

Carlsbad, CA · On-site +1

$109K - $148K/yr

Senior Data Engineer Position: Full time Location ... Carlsbad office (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ...

JF Retail Services

Sr. Data Engineer

El Segundo, CA · On-site +1

$140K - $150K/yr

As a Senior Data Engineer at Fabletics, you will design and optimize scalable data pipelines and ... Varied for retail, fulfillment and fully remote roles. The annual basesalary range for this ...

Interra Health

Senior Data Engineer

$115K - $151K/yr

As a Senior Data Engineer , you will work closely with cross-functional teams to ensure our data ... Fully remote role within the United States * Periodic travel (approximately 5%) for team meetings ...

Interra Health

Senior Data Engineer

Boston, MA · Remote

$115K - $151K/yr

As a Senior Data Engineer , you will work closely with cross-functional teams to ensure our data ... Fully remote role within the United States * Periodic travel (approximately 5%) for team meetings ...

Interra Health

Senior Data Engineer

Boston, MA · Remote

$115K - $156K/yr

As a Senior Data Engineer , you will work closely with cross-functional teams to ensure our data ... Fully remote role within the United States * Periodic travel (approximately 5%) for team meetings ...

Data Ideology

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117K - $140K/yr

For more information about Data Ideology, visit www.dataideology.com. Sr. Data Engineer ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Birdi

Principal Data Engineer

Plymouth, MI · Remote

$109K - $130K/yr

Remote Employment: Full Time Location: US Seniority: Senior Level Technologies: Tableau, Tableau ... Senior data engineer with expertise in SQL Server/SSRS, cloud-based data platforms, ETL/ELT, and ...

Paul Hastings

$194K/yr

Job Title Senior Data Engineer Location Atlanta, Boston, Charlotte, Chicago, Dallas, Houston, Los Angeles, New York Regular/Temporary Regular Summary We have an opening for a Senior Data Engineer.

C2FO

Senior Data Engineer I

Kansas City, MO · On-site +1

$103K - $140K/yr

Senior Data Engineer I More than a mission, C2FO is a better financial system, changing the way ... This position is fully remote, requiring a reliable internet connection in a private setting.

Vytwo

Senior Data Engineer - Remote

Prosper, TX · Remote

$55 - $60/hr

Senior Data Engineer Remote Work *Must be a US Citizen* & have a USA Passport Primary Responsibilities: * Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern ...

DivIHN

Senior Data Developer (Remote)

Senior Data Developer (Remote) Duration: 12 Months Location: Remote Only W2 candidates are eligible ... Azure Data Engineer certifications. * Experience with Dynamics 365 and Power Platform integrations.

Beam Impact

Senior Data Engineer

New York, NY · On-site +1

$176K - $198K/yr

About the role As a Senior Data Engineer on our Engineering team with a focus on data development ... See a full list of perks at Location - Remote We are a remote-first company, so our team works from ...

Apex Informatics

DATA ENGINEER

$117K - $140K/yr

Senior Data Engineer Location: Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads ...

Apex Informatics

Data Engineer

$117K - $140K/yr

Senior Data Engineer Location: Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads ...

Hack The Box

Senior Data Engineer

$108K - $147K/yr

The core mission of the Senior Data Engineer: You will own and evolve our data pipelines on GCP ... Fully Remote The fellowship you'll be joining: You will be part of the Data, Analytics & AI team ...

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All JobsData Engineer JobsRemote Senior Data Engineer Jobs

Remote Senior Data Engineer information

See salary details

$81K

$126.3K

$175K

How much do remote senior data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote senior data engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Senior Data Engineer vs Data Scientist?

AspectRemote Senior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields, certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, visualization tools
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, research, finance

Remote Senior Data Engineers focus on building and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles often collaborate but serve different functions within data teams. Understanding these differences helps in choosing the right career path or job search focus.

What is a remote senior data engineer?

Remote Senior Data Engineers are experienced professionals who design, build, and maintain complex data systems and pipelines, but work from a location outside of the company's main office. They are responsible for ensuring reliable data flow, optimizing data storage, and supporting analytics, often collaborating with teams across different time zones. Their role typically involves advanced programming, data architecture, and the implementation of best practices in data engineering, all while working remotely. This position demands strong technical skills, excellent communication, and the ability to work independently.

How does a remote senior data engineer typically collaborate with distributed teams to ensure data pipeline reliability?

As a Remote Senior Data Engineer, collaboration with cross-functional, distributed teams is usually facilitated through agile project management tools, regular video meetings, and shared documentation platforms. You’ll often work closely with data scientists, analysts, and DevOps engineers to design, build, and maintain scalable data pipelines. Clear communication and proactive status updates are essential to ensure everyone stays aligned and issues are addressed quickly. Leveraging version control systems and automated testing also helps maintain the reliability and quality of the data infrastructure across different time zones.

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

To thrive as a Remote Senior Data Engineer, you need advanced expertise in data engineering concepts, SQL, and programming languages like Python or Scala, along with a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Spark or Hadoop), and relevant certifications are typically required. Excellent problem-solving, communication, and self-management skills are crucial for collaborating remotely and driving projects independently. These competencies ensure robust data pipelines, effective teamwork, and successful delivery of scalable data solutions in distributed environments.
More about Remote Senior Data Engineer jobs
What cities are hiring for Remote Senior Data Engineer jobs? Cities with the most Remote Senior Data Engineer job openings:
What are the most commonly searched types of Senior Data Engineer jobs? The most popular types of Senior Data Engineer jobs are:
What states have the most Remote Senior Data Engineer jobs? States with the most job openings for Remote Senior Data Engineer jobs include:
What job categories do people searching Remote Senior Data Engineer jobs look for? The top searched job categories for Remote Senior Data Engineer jobs are:
Remote Senior Data Engineer jobs near you
Infographic showing various Remote Senior Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Senior Data Engineer

Jobgether

On-site, Remote

$81K - $111K/yr

Full-time

Posted 29 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in Netherlands.

The role focuses on designing and evolving scalable, cloud-native data platforms that support critical analytics, reporting, and product capabilities.
You will take ownership of complex data engineering solutions across ingestion, transformation, and data serving layers.
Working within a distributed international team, you will collaborate closely with backend engineers and technical stakeholders.
The position offers the opportunity to shape architecture decisions, improve data reliability, and build high-performing systems.
You will work extensively with AWS technologies, distributed processing, and modern engineering practices.
This is a high-impact opportunity for an experienced engineer who enjoys solving complex data challenges in a remote environment.

Accountabilities:

The Senior Data Engineer will be responsible for building and maintaining reliable, scalable data solutions while contributing to technical strategy and platform evolution.

  • Design, develop, and own batch-oriented data pipelines and ETL workflows using AWS Glue, AWS Lambda, AWS Step Functions, and Amazon S3.
  • Build and optimize ingestion pipelines using AWS-native services, including AppFlow, DMS, and selected event-streaming solutions.
  • Develop and maintain analytical data models and query layers using technologies such as Amazon Athena, Amazon Redshift, and ClickHouse.
  • Design integrations between data workflows and backend microservices running on Amazon ECS.
  • Collaborate with software engineers to develop backend services and APIs that expose data capabilities.
  • Contribute to event-driven architectures using services such as EventBridge to coordinate workflows and system interactions.
  • Ensure data quality, lineage, observability, monitoring, and alerting across data systems.
  • Improve performance and scalability across data processing jobs, analytical queries, and storage solutions.
  • Implement engineering best practices around Infrastructure as Code, CI/CD, security, governance, and sensitive data handling.
  • Mentor other engineers and contribute to architectural decisions and long-term technical direction.
Requirements:

The ideal candidate brings extensive experience in data engineering and backend development, with strong technical expertise in cloud-based data platforms and distributed systems.

  • 8+ years of experience in data engineering, backend engineering, or a related hybrid role.
  • Strong hands-on experience with AWS services, including AWS Glue, AWS Lambda, AWS Step Functions, Amazon S3, Amazon Athena, and Amazon Redshift.
  • Proven experience designing and building scalable batch data pipelines and ETL systems.
  • Strong programming skills in Java for backend services and Python for data processing workflows.
  • Experience working with containerized applications and orchestration platforms such as Amazon ECS.
  • Familiarity with microservices architectures and backend system design.
  • Experience with event-driven systems and messaging services such as SQS and EventBridge.
  • Advanced SQL skills with experience optimizing analytical queries and data workloads.
  • Knowledge of distributed processing frameworks, including Spark-based solutions.
  • Strong understanding of data modeling, storage strategies, partitioning, and performance optimization across multiple data platforms.
  • Experience with data quality practices, monitoring frameworks, and governance principles is a plus.
  • Familiarity with Apache Airflow or similar orchestration tools is beneficial.
  • Experience with semantic data layers, ClickHouse at scale, financial or credit-related data systems, and AWS certifications is considered an advantage.
Benefits:
  • Fully remote work arrangement from a home office in Romania, Poland, or Portugal.
  • Opportunity to collaborate with a diverse international team across multiple regions.
  • Flexible working environment within a distributed engineering organization.
  • The chance to work on impactful, large-scale data platforms and modern cloud technologies.
  • Competitive compensation package based on experience and expertise.
  • Opportunity to contribute to technical strategy and influence architecture decisions.
  • Professional growth opportunities through challenging engineering projects and collaboration with experienced teams.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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