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Data Engineering Jobs in Silver Spring, MD (NOW HIRING)

AaraTechnologies Inc

DATA ENGINEER

Washington, DC · On-site

$129K - $155K/yr

Maintain technical documentation Required Qualifications * 2-3 years of experience in data engineering or analytics * Strong SQL skills * Basic Python knowledge * Understanding of ETL concepts

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... Support the full engineering lifecycle, from concept and design through deployment, monitoring, and ...

KDA Consulting Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Data Pipeline Development & Engineering * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources * Build and optimize data workflows ...

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... Support the full engineering lifecycle, from concept and design through deployment, monitoring, and ...

Accenture Federal Services

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

... engineering tools such as ElasticSearch and NiFi • Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack • Experience with Agile / Scrum • Data engineering certification such as ...

KDA Consulting Inc

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Data Pipeline Development & Engineering * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources * Build and optimize data workflows ...

KDA Consulting Inc

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Data Pipeline Development & Engineering * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources * Build and optimize data workflows ...

KDA Consulting Inc

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Data Pipeline Development & Engineering * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources * Build and optimize data workflows ...

Guidehouse

Data Engineer

Arlington, VA

$113K - $188K/yr

Implement and manage CI/CD pipelines for data engineering workflows using tools such as Jenkins, Maven, and Git. * Develop and deploy cloud-based solutions leveraging AWS (S3, Lambda, ECS, SQS ...

Guidehouse

Data Engineer

Arlington, VA · On-site

$113K - $188K/yr

Implement and manage CI/CD pipelines for data engineering workflows using tools such as Jenkins, Maven, and Git. * Develop and deploy cloud-based solutions leveraging AWS (S3, Lambda, ECS, SQS ...

Maania Consultancy Services

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

The role requires an active Top-Secret/SCI clearance and involves working with various data engineering tools and cloud environments. Qualifications : Required : • Active Top-Secret/SCI clearance ...

Guidehouse

Data Engineer

Mclean, VA · On-site

$102K - $170K/yr

Implement and manage CI/CD pipelines for data engineering workflows using tools such as Jenkins, Maven, and Git. * Develop and deploy cloud-based solutions leveraging AWS (S3, Lambda, ECS, SQS ...

Guidehouse

Data Engineer

Mclean, VA

$102K - $170K/yr

Implement and manage CI/CD pipelines for data engineering workflows using tools such as Jenkins, Maven, and Git. * Develop and deploy cloud-based solutions leveraging AWS (S3, Lambda, ECS, SQS ...

Guidehouse

Data Engineer

Arlington, VA · On-site

$113K - $188K/yr

Implement and manage CI/CD pipelines for data engineering workflows using tools such as Jenkins, Maven, and Git. * Develop and deploy cloud-based solutions leveraging AWS (S3, Lambda, ECS, SQS ...

IT America Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Strong experience in Data Engineering with hands-on development of ETL/ELT workflows. * Expertise in Python, SQL, and Spark (PySpark/Scala). * Proficiency in AWS Cloud Services (S3, Redshift, EMR ...

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All JobsData Engineering JobsData Engineering Jobs in Silver Spring, MD

Data Engineering information

See Silver Spring, MD salary details

$47.6K

$170.6K

$251.7K

How much do data engineering jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data engineering in Silver Spring, MD is $170,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,000.00 and $175,700.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Silver Spring, MD? The most popular types of Data Engineering jobs in Silver Spring, MD are:
What are popular job titles related to Data Engineering jobs in Silver Spring, MD? For Data Engineering jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Silver Spring, MD look for? The top searched job categories for Data Engineering jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Data Engineering jobs? Cities near Silver Spring, MD with the most Data Engineering job openings:
Data Engineering jobs near you

DATA ENGINEER

AaraTechnologies Inc

Washington, DC • On-site

$129K - $155K/yr

Other

Re-posted 15 days ago

Job description

<>Data Engineer Retail & E-Commerce (2-3 Years Experience)

Company: AaraTech Inc

About the Role

AaraTech Inc is seeking a Data Engineer Retail & E-Commerce to support data pipelines and analytics platforms. This role focuses on data ingestion, transformation, and validation for retail and ecommerce datasets. You will collaborate with analytics teams to support reporting needs. Ideal for early-career data professionals.

Key Responsibilities
  • Support ETL / ELT data pipelines
  • Write SQL queries and basic Python scripts
  • Assist with data ingestion and transformation
  • Perform data quality checks
  • Support data warehouse activities
  • Collaborate with BI teams
  • Maintain technical documentation
Required Qualifications
  • 2-3 years of experience in data engineering or analytics
  • Strong SQL skills
  • Basic Python knowledge
  • Understanding of ETL concepts
  • Exposure to cloud platforms
  • Strong analytical mindset
  • Good communication skills

Skills

SQL, Python Basics, Data Engineering Fundamentals, ETL / ELT Pipelines, Data Ingestion, Data Transformation, Data Validation, Data Quality Checks, Retail & E-Commerce Data, Transactional Data Processing, Data Warehousing Concepts, Dimensional Modeling Basics, Cloud Data Platforms (AWS Basics), S3, Redshift Exposure, Batch Processing, Schema Design Basics, Documentation, Collaboration with BI Teams

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