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Cloud Data Engineer Jobs in Silver Spring, MD (NOW HIRING)

Data Engineer

Herndon, VA

$117K - $141K/yr

Overview VTG is seeking a skilled Data Engineer with at least 5 years of experience designing ... The ideal candidate will have strong expertise in data integration, ETL/ELT processes, and cloud ...

Cloud Analytic Software Engineer

Reston, VA · On-site

$62.50 - $81.25/hr

Cloud Analytic Software Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note ... The ideal candidate is passionate about cloud computing, data analytics, and software development ...

Cloud Analytic Software Engineer

Chantilly, VA · On-site

$62 - $80.50/hr

Cloud Analytic Software Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please ... The ideal candidate is passionate about cloud computing, data analytics, and software development ...

Cloud Analytic Software Engineer

Tysons, VA · On-site

$60.25 - $78.25/hr

Cloud Analytic Software Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note ... The ideal candidate is passionate about cloud computing, data analytics, and software development ...

Data Engineer Senior

Fairfax, VA · On-site

$116K - $140K/yr

The Data Engineer Senior designs, builds, and maintains scalable data pipelines and core data ... Implement and operate ETL/ELT workflows using orchestration tools such as Apache Airflow or cloud ...

Cleared Hybrid Data Engineer (5418)

Hanover, MD · Hybrid

$113K - $136K/yr

Experience with cloud data warehouses such as Snowflake and AWS Redshift. * Familiarity with ... Exposure to DevOps/CI-CD patterns for data workflows * MuleSoft implementation experience

Data Engineer

Sterling, VA · On-site

$113K - $136K/yr

Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform. • Programming Languages: Proficiency in Python or Java for data manipulation and scripting. • Data ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

The ideal candidate will have strong experience with AWS cloud services, data engineering best practices, and big data technologies , with the ability to operate in a fast-paced, collaborative ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

The ideal candidate will have strong experience with AWS cloud services, data engineering best practices, and big data technologies , with the ability to operate in a fast-paced, collaborative ...

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Overview VTG is seeking a skilled Data Engineer with at least 5 years of experience designing ... The ideal candidate will have strong expertise in data integration, ETL/ELT processes, and cloud ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

The ideal candidate will have strong experience with AWS cloud services, data engineering best practices, and big data technologies , with the ability to operate in a fast-paced, collaborative ...

Data Engineer

Sterling, VA · On-site

$122K - $253K/yr

Job Title: Data Engineer Location: Sterling, VA Clearance: TS/SCI Poly **This position is ... Recommend and plan server/ cloud compute/storage resource recapitalization for Sponsor ...

Data Engineer Location:Sterling, VA Clearance:TS/SCI Poly **This position is CONTINGENT upon ... Recommend and plan server/ cloud compute/storage resource recapitalization for Sponsor ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

The ideal candidate will have strong experience with AWS cloud services, data engineering best practices, and big data technologies , with the ability to operate in a fast-paced, collaborative ...

Sr. Data engineer

Reston, VA · On-site

$119K - $143K/yr

Sr. Data engineer Location: Reston, VA Duration: long term Mandatory need: Candidate have to be ex ... Experience with Snowflake as a cloud data warehouse. * Experience using Apache Airflow for workflow ...

Showing results 41-60

Cloud Data Engineer information

See Silver Spring, MD salary details

$24

$65

$90

How much do cloud data engineer jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for cloud data engineer in Silver Spring, MD is $65.01, according to ZipRecruiter salary data. Most workers in this role earn between $55.43 and $74.04 per hour, depending on experience, location, and employer.

What are some common challenges a Cloud Data Engineer faces when migrating data to the cloud?

Cloud Data Engineers often encounter challenges such as ensuring data security and compliance during migration, optimizing data pipelines for cloud performance, and managing data integrity across distributed systems. They must work closely with cross-functional teams to minimize downtime and avoid data loss, and frequently address issues related to data format compatibility and legacy system integration. Staying up-to-date with evolving cloud technologies and best practices is also essential for successful data migration projects.

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

AspectCloud Data EngineerData Analyst
Required CredentialsCloud certifications (e.g., AWS, Azure), SQL, programming skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, big data tools, data pipelinesData visualization, reporting, business insights
Employer & Industry UsageTech companies, finance, healthcare, cloud service providersMarketing, finance, retail, business intelligence

While Cloud Data Engineers focus on building and maintaining cloud-based data infrastructure, Data Analysts interpret data to provide business insights. Both roles require SQL skills, but Cloud Data Engineers emphasize cloud platforms and data pipeline development, whereas Data Analysts focus on data visualization and reporting.

What are the key skills and qualifications needed to thrive as a Cloud Data Engineer, and why are they important?

To excel as a Cloud Data Engineer, you need strong expertise in data modeling, ETL processes, programming languages like Python or SQL, and a solid understanding of cloud platforms such as AWS, Azure, or Google Cloud, often supported by a relevant degree and cloud certifications. Familiarity with tools like Apache Spark, Hadoop, cloud storage systems, and data pipeline orchestration frameworks is typically required. Strong problem-solving skills, attention to detail, and effective communication help you deliver scalable solutions and collaborate with cross-functional teams. These competencies are essential for building robust, secure, and efficient data infrastructure that supports business intelligence and analytics.

What is a Cloud Data Engineer?

A Cloud Data Engineer is an IT professional who designs, builds, and manages scalable data infrastructure and pipelines in cloud environments. They work with cloud platforms like AWS, Google Cloud, or Azure to create systems that collect, process, store, and analyze large volumes of data. Their responsibilities include setting up data lakes and warehouses, ensuring data quality and security, and enabling data-driven applications. Cloud Data Engineers collaborate with data scientists, analysts, and other stakeholders to support business intelligence and analytics initiatives.
What are popular job titles related to Cloud Data Engineer jobs in Silver Spring, MD? For Cloud Data Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Cloud Data Engineer jobs in Silver Spring, MD look for? The top searched job categories for Cloud Data Engineer jobs in Silver Spring, MD are:
Infographic showing various Cloud Data Engineer job openings in Silver Spring, MD as of July 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $135,220 per year, or $65 per hour.

$117K - $141K/yr

Full-time

Re-posted 16 days ago


Job description

Overview

VTG is seeking a skilled Data Engineer with at least 5 years of experience designing, building, and maintaining scalable data pipelines and architectures. The ideal candidate will have strong expertise in data integration, ETL/ELT processes, and cloud-based data platforms, with a focus on delivering high-quality, reliable data solutions that support analytics and business decision-making.


What will you do?
  • Design, develop, and maintain scalable data pipelines and workflows (ETL/ELT)
  • Build and optimize data architectures, including data lakes, data warehouses, and data marts
  • Ingest, process, and transform large volumes of structured and unstructured data
  • Ensure data quality, integrity, and reliability across systems
  • Collaborate with data analysts, data scientists, and business stakeholders to define data requirements
  • Implement data governance, security, and compliance best practices
  • Optimize data storage, query performance, and cost efficiency in cloud environments
  • Monitor and troubleshoot data pipeline performance and failures
  • Maintain documentation for data flows, systems, and processes

Do you have what it takes?
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.
  • 5+ years of experience in data engineering or a related field
  • Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server)
  • Experience with big data processing frameworks (e.g., Spark, Hadoop)
  • Hands-on experience building ETL/ELT pipelines using tools such as Apache Airflow, Informatica, or similar
  • 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, BigQuery)
  • Strong understanding of data modeling concepts (star/snowflake schemas)
Qualifications:
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.
  • 5+ years of experience in data engineering or a related field
  • Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server)
  • Experience with big data processing frameworks (e.g., Spark, Hadoop)
  • Hands-on experience building ETL/ELT pipelines using tools such as Apache Airflow, Informatica, or similar
  • 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, BigQuery)
  • Strong understanding of data modeling concepts (star/snowflake schemas)
Education:UNAVAILABLEEmployment Type: FULL_TIME