Explore the latest senior data engineer jobs from companies hiring across the globe. This page features advanced-level opportunities for experienced data professionals who architect and lead the development of scalable data platforms, pipelines, and infrastructure.
Senior Data Engineer –Google Cloud Platform
Tekcel8
Location not specified
Remote
contractor•
3d ago
Sr. Data Engineer (TS/SCI) - Reston
IBM
Alexandria, Virginia, US
full-time•
1w ago
Principal Data Platform Engineer(Snowflake Architecture))
Amtex Systems Inc
Arlington, Virginia, US
contractor•
13h ago
FLEX Senior Engineer, Reporting and Analytics
Marriott International
Location not specified
Remote
full-time•
3d ago
Senior Data Engineer: Secure Federal Pipelines
MetaPhase Consulting
Washington, District of Columbia, US
full-time•
1w ago
Sr. Data Engineer (TS/SCI) - Reston
IBM
McLean, Virginia, US
full-time•
1w ago
Senior Data Engineer for Defense Intelligence Analytics
Job Title: Senior Data Engineer –Google Cloud Platform
Experience: 12–14 Years
Job Type: Contract
Location: [Remote / Hybrid / Onsite – TBD]
Job Summary
We are looking for an experienced Senior Data Engineer with strong hands-on expertise in Google Cloud Platform (Google Cloud Platform) to design, develop, and maintain scalable cloud-based data engineering and analytics solutions.
The ideal candidate will have 12–14 years of overall IT experience with strong experience in Data Engineering, Google Cloud Platform, data warehousing, ETL/ELT, SQL, Python, and large-scale data processing.
The candidate should have extensive hands-on experience with core Google Cloud Platform data services such as BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Cloud Composer/Airflow and should be capable of designing and optimizing enterprise-level data pipelines.
Mandatory Skills
Google Cloud Platform – Strong / Mandatory
· Strong hands-on experience with Google Cloud Platform (Google Cloud Platform).
· Strong experience with BigQuery.
· Hands-on experience with Dataflow / Apache Beam.
· Experience with Google Cloud Storage (GCS).
· Experience with Cloud Composer / Apache Airflow.
· Experience with Pub/Sub.
· Strong understanding of Google Cloud Platform data architecture and cloud services.
Key Responsibilities
· Design, develop, and maintain scalable data pipelines on Google Cloud Platform.
· Build end-to-end ETL/ELT workflows for structured and unstructured data.
· Develop complex data transformations using Python and SQL.
· Design and optimize data warehouse solutions using BigQuery.
· Develop and maintain data processing pipelines using Dataflow / Apache Beam.
· Implement data ingestion and storage solutions using Google Cloud Storage (GCS).
· Develop workflow orchestration using Cloud Composer / Apache Airflow.
· Build batch and real-time data processing solutions using appropriate Google Cloud Platform services.
· Work with Pub/Sub for event-driven and streaming data pipelines.
· Optimize BigQuery queries, data pipelines, and Google Cloud Platform resources for performance and cost.
· Implement data quality, validation, reconciliation, and error-handling processes.
· Troubleshoot complex data pipeline and production issues.
· Design data models for analytical and reporting requirements.
· Collaborate with Data Architects, Data Scientists, Analysts, Developers, and business stakeholders.
· Participate in technical design discussions, code reviews, testing, deployment, and production support.
· Follow best practices for cloud security, scalability, reliability, and data governance.
· Mentor junior and mid-level data engineers and provide technical guidance.
Insights drawn from the latest openings on this page so you can compare employers, locations, and pay before applying.
Top Companies Hiring
IBM2 roles
Tekcel81 role
Amtex Systems Inc1 role
Marriott International1 role
MetaPhase Consulting1 role
IBM Computing1 role
Top Locations
Virginia, US3 roles
District of Columbia, US3 roles
Remote2 roles
Maryland, US2 roles
20% of these openings can be done remotely.
Salary Range Overview
Across 10 listings, advertised pay ranges from USD 94k to USD 225k.
Typical band: USD 96k – 169k.
Figures reflect employer-disclosed salaries on current openings and may vary by location, experience, and company stage.
Employment Types
Full-Time8 roles
Contractor2 roles
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Here are some of the latest openings matching this category. Browse the full list above to filter by location, experience, and employment type.
#1Senior Data Engineer –Google Cloud Platform
Tekcel8RemoteContractorPosted Oct 6, 2026
Job Title: Senior Data Engineer –Google Cloud Platform Experience: 12–14 Years Job Type: Contract Location: [Remote / Hybrid / Onsite – TBD] Job Summary We are looking for an experienced Senior Data Engineer with strong hands-on expertise in Google Cloud Platform (Google Cloud Platform) to design, develop, and maintain…
Introduction A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the…
#3Principal Data Platform Engineer(Snowflake Architecture))
Amtex Systems IncArlington, Virginia, USContractorPosted Oct 8, 2026
Title: Principal Data Platform Engineer(Snowflake Architecture) Location: Arlington, VA(Hybrid) Duration: 6-12+ Months Formal Education Required: Bachelor’s degree in computer science or related field. Experience and Certifications Required: Minimum of 10 years of progressive experience in data engineering, data wareho…
Marriott InternationalRemoteFull-TimePosted Oct 6, 2026
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#7Senior Data Engineer for Defense Intelligence Analytics
IBM ComputingWashington, District of Columbia, USFull-TimePosted Sep 30, 2026
IBM Consulting is seeking a TS/SCI-cleared Data Engineer to deliver analytics and data-driven decision support for senior leaders within the Department of War. You will wrangle, clean, analyze and visualize data to support mission-critical intelligence workflows and decision advantage. The role requires 7+ years in dat…
Data Engineer, Senior The Opportunity: As aSenior Data Engineer, you will be responsible for designing, building, and maintaining robust data pipelines. Your key tasks will include creating and optimizing end-to-end data flows, handling ETL processes including extract, transform, and load, designing data models, ensuri…
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Your Role The Data Services team is responsible for technical design and end-to-end delivery of complex data-driven solutions and data products for the enterprise. The Data Engineer,Senior will report to the Sr Manager, Data Solutions / Manager. This role is responsible for independent designing, building, and operatin…
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Explore the latest senior data engineer jobs from companies hiring across the globe. This page features advanced-level opportunities for experienced data professionals who architect and lead the development of scalable data platforms, pipelines, and infrastructure.
Senior Data Engineers are responsible for designing complex data architectures, optimizing large-scale data processing systems, mentoring junior engineers, and driving data engineering best practices across organizations. Employers are seeking candidates with deep expertise in SQL, Python, Apache Spark, Kafka, Airflow, dbt, and cloud data platforms such as Snowflake, BigQuery, Redshift, and Databricks.
Senior-level roles often require experience with data governance, data modeling, performance optimization, real-time streaming architectures, and cross-functional collaboration with data science and analytics teams.
Industries including fintech, healthcare, e-commerce, SaaS, media technology, and enterprise organizations are actively hiring senior data engineering talent.
Our curated listings include remote, hybrid, and onsite positions across North America, Europe, Asia-Pacific, and other global markets. Many roles offer competitive compensation, technical leadership responsibilities, and opportunities to build data platforms that power critical business decisions.
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