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Senior Gcp Data Engineer Jobs in Springfield, VA

Senior Data Engineer

Washington, DC · On-site

$115K - $150K/yr

As a Senior Data Engineer , you will architect, build, and optimize scalable data platforms that ... Deep understanding of cloud platforms (AWS, GCP, Azure) and cloud-native data services:AWS ...

Senior Data Engineer

Washington, DC · On-site

$115K - $150K/yr

As a Senior Data Engineer , you will architect, build, and optimize scalable data platforms that ... Deep understanding of cloud platforms (AWS, GCP, Azure) and cloud-native data services:AWS ...

Data Engineer

Quantico, VA · On-site

$121K - $145K/yr

Full-Time/Part-Time Full-Time Description RiVidium Inc. is seeking a Senior Data Engineer to ... Experience with cloud platforms (AWS, Azure, GCP) and hybrid environments * Knowledge of DevOps ...

Data Architect

Washington, DC · On-site

$72 - $92.50/hr

Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, GCP Data Engineer). * Experience supporting federal data modernization, digital transformation, or analytics ...

Data Architect

Washington, DC · On-site

$72 - $92.50/hr

Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, GCP Data Engineer). * Experience supporting federal data modernization, digital transformation, or analytics ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Experience with cloud data platforms (AWS, Azure, or GCP) * Proficiency in programming languages such as Python, Scala, or Java * Experience with data warehousing solutions (e.g., Snowflake, Redshift ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Experience with cloud data platforms (AWS, Azure, or GCP) * Proficiency in programming languages such as Python, Scala, or Java * Experience with data warehousing solutions (e.g., Snowflake, Redshift ...

Data Engineer

Chantilly, VA

$118K - $142K/yr

Experience with cloud data platforms (AWS, Azure, or GCP) * Proficiency in programming languages such as Python, Scala, or Java * Experience with data warehousing solutions (e.g., Snowflake, Redshift ...

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Experience in GCP or Azure is also highly valued. * Database & Querying Skills : Extract, integrate ...

Senior Data Engineer

Mclean, VA · On-site

$125K - $165K/yr

Overview We are looking for seasoned Senior Data Engineer to work with our team and our clients to ... Alternatively Azure, GCP). * Key must have skill sets - Python, AWS * Support an Agile software ...

Senior Data Engineer

Mclean, VA · On-site

$125K - $165K/yr

We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop ... Alternatively Azure, GCP). * Key must have skill sets - Python, AWS * Support an Agile software ...

Overview We are looking for seasoned Senior Data Engineer to work with our team and our clients to ... Alternatively Azure, GCP). * Key must have skill sets - Python, AWS * Support an Agile software ...

... a Senior Data Engineer to align data solutions to business requirements by planning and managing ... Deep expertise in AWS, GCP, or Azure data ecosystems. * Experience building and managing cloud ...

Overview We are looking for a seasoned Senior Data Engineer t o work with our team and our clients ... Alternatively Azure, GCP). * Key must have skill sets - Python, AWS * Support an Agile software ...

Senior Data Engineer

Mclean, VA · On-site

$125K - $165K/yr

Overview We are looking for a seasoned Senior Data Engineer t o work with our team and our clients ... Alternatively Azure, GCP). * Key must have skill sets - Python, AWS * Support an Agile software ...

Senior Data Engineer

Vienna, VA · On-site

$106K - $144K/yr

... a Senior Data Engineer to align data solutions to business requirements by planning and managing ... Deep expertise in AWS, GCP, or Azure data ecosystems. * Experience building and managing cloud ...

Senior Data Engineer

Vienna, VA · On-site

$106K - $144K/yr

... a Senior Data Engineer to align data solutions to business requirements by planning and managing ... Deep expertise in AWS, GCP, or Azure data ecosystems. * Experience building and managing cloud ...

Showing results 21-40

Senior Gcp Data Engineer information

See Springfield, VA salary details

$84.6K

$132K

$182.8K

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

As of Aug 7, 2026, the average yearly pay for senior gcp data engineer in Springfield, VA is $131,953.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $150,400.00 per year, depending on experience, location, and employer.

What is a Senior GCP Data Engineer?

Senior GCP Data Engineers are experienced professionals who design, build, and manage data processing systems on Google Cloud Platform (GCP). They are responsible for developing scalable data pipelines, ensuring data quality, and enabling analytics and machine learning solutions. Their work often involves using tools like BigQuery, Dataflow, and Dataproc, as well as programming languages such as Python or SQL. Senior GCP Data Engineers also mentor junior team members and contribute to architectural decisions to ensure best practices in cloud data engineering.

What are some common challenges faced by Senior GCP Data Engineers when migrating legacy data systems to Google Cloud Platform?

Senior GCP Data Engineers often encounter challenges such as ensuring data integrity during large-scale migrations, optimizing performance for cloud-native architectures, and adapting legacy ETL processes to leverage GCP services like BigQuery and Dataflow. Collaborating with cross-functional teams to map business requirements to cloud solutions is also key. Additionally, they must address security and compliance concerns, ensuring data is protected throughout the migration process.

What are the key skills and qualifications needed to thrive as a Senior GCP Data Engineer?

To thrive as a Senior GCP Data Engineer, you need deep expertise in data engineering concepts, SQL, programming languages like Python or Java, and a strong understanding of Google Cloud Platform (GCP) services, usually supported by a bachelor’s degree in computer science or a related field. Familiarity with tools such as BigQuery, Dataflow, Cloud Composer, and relevant GCP certifications like Professional Data Engineer is highly valued. Strong problem-solving, communication, and project management skills set top performers apart, enabling effective collaboration and leadership in complex data projects. These capabilities are crucial for designing scalable data solutions, ensuring data reliability, and driving data-driven decision-making within organizations.

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

AspectSenior Gcp Data EngineerData Scientist
Required CredentialsCloud certifications (GCP), SQL, Python, data engineering skillsStatistics, machine learning, programming (Python/R), advanced degrees often preferred
Work EnvironmentData pipelines, cloud infrastructure, ETL processesData analysis, modeling, research, visualization
Industry UsageData infrastructure, big data projects, cloud-based data solutionsPredictive modeling, insights, data-driven decision making

The main difference is that Senior Gcp Data Engineers focus on building and maintaining data pipelines and infrastructure on GCP, while Data Scientists analyze data to generate insights and models. Both roles require strong technical skills, but their core responsibilities differ significantly.

What job categories do people searching Senior Gcp Data Engineer jobs in Springfield, VA look for? The top searched job categories for Senior Gcp Data Engineer jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Senior Gcp Data Engineer jobs? Cities near Springfield, VA with the most Senior Gcp Data Engineer job openings:

Senior Data Engineer

Insomniac Design

Washington, DC • On-site

$115K - $150K/yr

Full-time

Re-posted 12 days ago


Job description

Insomniac Design is a global digital agency headquartered in Washington D.C., with offices in London, Bucharest and Chisinau.  We’re an agile, determined and innovative team organized by functional areas of expertise — Creative, Technology, Strategy, and Management. We specialize in human-centered design with deep focus on design thinking and digital transformation. 
 
At Insomniac, we leverage AI to free our teams from routine tasks so they can focus on the aspects of our functions that are most valuable. We thrive on creative problem-solving, collaboration, and innovation. By thoughtfully integrating AI into our workflows, we’re not only improving productivity but also ensuring our people have the tools to do their best work. This empowers us to build smarter solutions and deliver stronger results for our clients.
 
As a Senior Data Engineer, you will architect, build, and optimize scalable data platforms that empower our clients with unified, actionable insights. You will lead the design of robust data pipelines, enforce best practices in data governance and security, and mentor junior engineers. Your expertise will bridge technical execution and strategic vision, ensuring high-performance, secure, and scalable data solutions that drive business impact.
Technical Leadership & Strategy:
  • Architect and implement enterprise-grade data platforms, including data lakes, warehouses, and real-time pipelines.
  • Define and enforce data engineering standards, including ETL/ELT frameworks, data modeling, and quality controls.
  • Lead performance optimization of databases, queries, and pipelines (e.g., partitioning, indexing, cost-efficient cloud solutions).
  • Stay updated with emerging trends, evaluating and integrating new technologies.
Data Architecture & Infrastructure:
  • Design and implement scalable data architecture that ensures high availability, security, and performance.
  • Define best practices for data modeling, storage, retrieval, and governance.
  • Optimize database structures, schemas, indexing, and partitioning for efficient query performance.
  • Implement CI/CD for data pipelines and automate infrastructure using Infrastructure-as-Code (IaC) tools.
Data Pipelines & ETL Development:
  • Architect and develop end-to-end ETL/ELT pipelines for structured and unstructured data ingestion, processing, and transformation.
  • Automate and optimize data workflows using tools like Apache Spark, Kafka, Airflow, and dbt.
  • Monitor, troubleshoot, and optimize data pipeline performance.
Data Governance, Security & Compliance:
  • Implement data governance policies, including metadata management, lineage tracking, and role-based access control (RBAC).
  • Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and enforce security best practices.
  • Develop frameworks for data quality validation, anomaly detection, and integrity checks.
Business & Stakeholder Engagement:
  • Collaborate with stakeholders (clients, PMs) to translate business needs into technical specifications and scalable architectures.
  • Develop interactive dashboards and reporting solutions to provide actionable insights.
Innovation & Mentorship:
  • Lead technical discussions, workshops, and knowledge-sharing sessions within the team.
  • Mentor junior engineers, conduct code reviews, and set best practices.
  • Drive automation of data workflows, including CI/CD for pipelines and Infrastructure-as-Code (IaC) solutions.
Technical Skills & Experience:
  • 7+ years of experience in data engineering with a proven track record of building scalable data solutions.
  • Expertise in SQL and relational database management systems (MySQL, PostgreSQL, Oracle).
  • Proficiency in Python (or similar languages) for data processing and automation.
  • Deep understanding of cloud platforms (AWS, GCP, Azure) and cloud-native data services:AWS (Redshift, Glue, S3)Azure (Synapse, Data Factory)GCP (BigQuery, Dataflow)
  • Hands-on experience with big data tools:Apache Spark, Kafka, Airflow, dbt, Snowflake, Databricks
  • Expertise in data modeling.
  • Strong knowledge of data security, governance, and compliance frameworks.
Leadership & Soft Skills:
  • Proven track record of leading data projects, including migrations, warehousing, and real-time analytics.
  • Ability to lead cross-functional teams and manage client expectations.
  • Strong problem-solving skills for debugging distributed systems and resolving data anomalies.
  • Experience with Agile/Scrum methodologies, including tools like Jira, Git.
  • Excellent communication and stakeholder management skills.
Nice-to-Have (Bonus Skills):
  • Certifications in cloud/data technologies (e.g., AWS Certified Data Analytics, Google Cloud Data Engineer).
  • Experience with ML pipelines (e.g., feature stores, model deployment).
  • Contributions to open-source data projects.
Insomniac Design offers a competitive salary and benefits package including health and life insurance as well as 401k contribution. Salary range: $115,000 - $150,000.
 
Applicant Eligibility: Please note, candidates who are eligible to work in the US without visa sponsorship are eligible to apply. We are not accepting applicants from recruiters or staffing agencies