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Data Engineer Gcp Data Engineer Jobs in Virginia

Data Engineer

Chantilly, VA ยท On-site

$93K - $145K/yr

NS2 Mission is seeking a Data Engineer to support a project in Chantilly, VA . In this role, you'll ... Experience working with cloud platforms such as AWS, Azure, or GCP. * Familiarity with big data ...

Data Engineer

Mclean, VA ยท On-site

$110K - $160K/yr

We are looking for more than just a "Data Engineer", but a technologist with excellent ... Alternatively Azure, GCP). * Key must have skill sets - Python, AWS * Support an Agile software ...

Enterprise Data Engineer

Chantilly, VA ยท On-site

$117K - $140K/yr

We are seeking skilled and detail-oriented Data Engineers with expertise in utilizing Python, SQL ... Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache ...

Data Engineer

Mclean, VA ยท On-site

$110K - $160K/yr

We are looking for more than just a "Data Engineer", but a technologist with excellent ... Alternatively Azure, GCP). * Key must have skill sets - Python, AWS * Support an Agile software ...

Chief Data Engineer

Chantilly, VA ยท On-site

$117K - $140K/yr

Experience with data processing platforms such as Hadoop, Spark, and cloud services (AWS, Azure, GCP). * Proficiency in programming languages such as Python, SQL, and tools like Apache NiFi, Talend ...

Enterprise Data Engineer

Chantilly, VA ยท On-site +1

$117K - $140K/yr

We are seeking skilled and detail-oriented Data Engineers with expertise in utilizing Python, SQL ... Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache ...

Enterprise Data Engineer

Chantilly, VA ยท On-site

$150K - $200K/yr

The successful Enterprise Data Engineer must be a skilled and detail-oriented professional with ... Experience with cloud platforms(e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache ...

Data Engineer

Mclean, VA ยท On-site +1

$125K - $160K/yr

We are looking for more than just a "Data Engineer", but a technologist with excellent ... Alternatively Azure, GCP). * Key must have skill sets - Python, AWS * Support an Agile software ...

Data Engineer

Mclean, VA ยท On-site

$115K - $139K/yr

Data Lake & Warehouse Engineering Manage and organize large datasets across cloud platforms (e.g., AWS, Azure, GCP) using data lake and warehouse technologies. Implement medallion architecture ...

Data Engineer

Mclean, VA ยท On-site

$115K - $139K/yr

Data Lake & Warehouse Engineering Manage and organize large datasets across cloud platforms (e.g., AWS, Azure, GCP) using data lake and warehouse technologies. Implement medallion architecture ...

Data Engineer

Mclean, VA

$115K - $139K/yr

Data Lake & Warehouse Engineering Manage and organize large datasets across cloud platforms (e.g., AWS, Azure, GCP) using data lake and warehouse technologies. Implement medallion architecture ...

Data Engineer

Herndon, VA

$117K - $141K/yr

Platinum Technologies is seeking a Data Engineering Subject Matter Expert (SME) to join our team. In this position you will provide technical leadership for the design, implementation, and ...

Data Engineer

Herndon, VA ยท On-site

$117K - $141K/yr

Platinum Technologies is seeking a Data Engineering Subject Matter Expert (SME) to join our team. In this position you will provide technical leadership for the design, implementation, and ...

Data Engineer - Mid

Quantico, VA ยท On-site

$135K - $155K/yr

The Data Engineer - Mid designs, develops, and maintains scalable data pipelines, data models, and ... Experience with cloud-based data platforms (e.g., AWS, Azure, GCP, or DoD cloud equivalents)

Data Engineer

Herndon, VA ยท On-site

$117K - $141K/yr

Platinum Technologies is seeking a Data Engineering Subject Matter Expert (SME) to join our team. In this position you will provide technical leadership for the design, implementation, and ...

Data Engineer - Mid

Quantico, VA ยท On-site

$135K - $155K/yr

The engineer will work closely with analysts, data scientists, and operational stakeholders to ... Experience with cloud-based data platforms (e.g., AWS, Azure, GCP, or DoD cloud equivalents)

Showing results 41-60

Data Engineer Gcp Data Engineer information

What is a GCP data engineer?

A GCP Data Engineer is a data engineering professional who specializes in designing, building, and managing data processing systems on Google Cloud Platform (GCP). They work with cloud-based tools and services to collect, transform, and analyze large volumes of data, enabling organizations to gain insights and make data-driven decisions. GCP Data Engineers are proficient in technologies such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Their role often involves ensuring data pipelines are reliable, scalable, and secure while optimizing performance and cost.

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

To thrive as a GCP Data Engineer, you need strong expertise in data modeling, ETL processes, and cloud architecture, typically backed by a degree in computer science or related field. Proficiency with Google Cloud Platform services (like BigQuery, Dataflow, and Pub/Sub), SQL, and tools such as Python or Java is essential, and certifications like Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and teamwork skills help you collaborate effectively and translate business needs into technical solutions. These abilities ensure efficient, scalable data pipelines and reliable infrastructure, which are critical for driving data-driven decision-making.

What are some common challenges faced by data engineers working with GCP, and how can they be addressed?

Data Engineers working with Google Cloud Platform (GCP) often encounter challenges such as optimizing data pipeline performance, managing costs, and ensuring data security and compliance. Effective use of GCP's native monitoring and logging tools can help identify bottlenecks in ETL processes, while leveraging features like autoscaling in Dataflow or BigQuery partitioning improves efficiency. Regular collaboration with DevOps and security teams is crucial to maintain robust cloud architecture and compliance with data regulations. Staying updated with GCP releases and best practices will also help proactively address evolving challenges.

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

AspectData Engineer Gcp Data EngineerData Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Varies; often includes cloud or database certifications
Work EnvironmentPrimarily cloud-based, focusing on Google Cloud Platform toolsCan be cloud, on-premises, or hybrid environments
Industry UsageCommon in organizations leveraging Google Cloud servicesWidespread across industries using various cloud providers
Skills FocusGCP tools, BigQuery, Dataflow, Pub/SubSQL, ETL, data modeling, general cloud skills

In summary, Data Engineer Gcp Data Engineer specializes in Google Cloud Platform tools and certifications, focusing on cloud-native data solutions. Data Engineer is a broader role that may work across multiple platforms and environments, with a wider range of tools and technologies.

What are popular job titles related to Data Engineer Gcp Data Engineer jobs in Virginia?

For Data Engineer Gcp Data Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Data Engineer Gcp Data Engineer jobs in Virginia look for?

The top searched job categories for Data Engineer Gcp Data Engineer jobs in Virginia are:

What cities in Virginia are hiring for Data Engineer Gcp Data Engineer jobs?

Cities in Virginia with the most Data Engineer Gcp Data Engineer job openings:

Data Engineer

NS2 Mission

Chantilly, VA โ€ข On-site

$93K - $145K/yr

Full-time

Re-posted 26 days ago


Job description

Help turn complex data into mission-critical intelligence. NS2 Mission is seeking a Data Engineer to support a project in Chantilly, VA. In this role, you'll design and develop scalable data pipelines that transform structured and unstructured data into actionable intelligence. Working with modern ETL technologies, Python, SQL, and Palantir (or similar platforms), you'll help deliver high-quality data solutions that directly support mission objectives.

If you enjoy solving complex data challenges and building reliable, scalable data solutions, we'd love to hear from you.

Key Responsibilities

  • Design, develop, and maintain scalable ETL pipelines using Python, SQL, and Palantir (or similar ETL platforms). 
  • Extract, transform, and integrate data from a variety of sources, including relational databases, APIs, and flat files. 
  • Develop data transformation, enrichment, and modeling workflows to support business and analytics requirements. 
  • Optimize data structures and pipelines for performance, scalability, and maintainability. 
  • Implement data validation, quality assurance, and monitoring processes to ensure data accuracy and consistency. 
  • Support the effective use of Palantir tools by providing technical guidance and collaborating across engineering teams. 
  • Troubleshoot data integration issues and continuously improve data processing workflows. 

Required Qualifications

  • 3+ years of experience in Data Engineering or a related field. 
  • Strong proficiency with Python for scripting, automation, and data processing. 
  • Experience writing and optimizing SQL for querying, transformation, and data analysis. 
  • Experience integrating data from multiple sources, including APIs, relational databases, and file systems. 
  • Strong analytical and problem-solving skills with exceptional attention to detail. 
  • Excellent communication and collaboration skills with the ability to work across technical and business teams. 

Preferred Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, or a related technical field. 
  • Hands-on experience with Palantir. 
  • Experience working with cloud platforms such as AWS, Azure, or GCP. 
  • Familiarity with big data technologies including Apache Spark and Hadoop. 
  • Experience with workflow orchestration tools such as Apache Airflow, Prefect, or similar technologies.

Position Clearance Requirement:

TS/SCI with an FSP

Salary and Benefits Information:

The salary range for this position is $93,577.00 to $145,999.00. The proposed range is intended as a general guideline. Final compensation will be determined based on qualifications, experience, location, and contractual considerations and may fall outside of the stated range. We offer a great benefits package designed to support you and your family. View our benefits information here: https://sapns2.com/ns2-mission-careers/

 Please be aware, many of our positions require the ability to obtain or maintain a U.S security clearance which requires U.S citizenship

We win with inclusion

NS2 Mission’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At NS2 Mission, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

NS2 Mission is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with NS2 Mission and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: NS2Mission.Careers@sapns2.com.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.