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Senior Big Data Engineer Jobs in Silver Spring, MD

USM

Big Data Engineer (Fulltime only)

Reston, VA

$58 - $76.75/hr

Big Data Engineer_49415 Location: Reston, VA Duration: Full Time Description: * 6+ years of hands on experience and strong and deep knowledge of Java application development * Experience processing ...

Ariston Tek Inc

Hadoop Big Data Developer

Herndon, VA · On-site

Title: Sr. Hadoop Big Data Developer Location: Herndon, VA Type: Contract to Hire Required Skills: * Strong and deep knowledge of Java application development * Hands on experience in LINUX, Java ...

Ariston Tek Inc

Hadoop Big Data Developer

Herndon, VA · On-site

Company Description Title: Sr. Hadoop Big Data Developer Location: Herndon, VA Type: Contract to Hire Required Skills: * Strong and deep knowledge of Java application development * Hands on ...

Phase2 Technology

Data Engineer, Senior

Chantilly, VA · On-site

$77.60 - $176/hr

Data Engineer, Senior Ever-expanding technology like IoT, machine learning, and artificial ... As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the ...

New

Booz Allen Hamilton

Data Engineer, Mid

Mclean, VA · On-site

$62 - $141/hr

As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that ...

RecruitTalent LLC.

Senior IT Data Engineer

Washington, DC · On-site

$65 - $75/hr

Senior IT Data Engineer Personnel Qualifications * At least seven years of experience evaluating ... Ability to implement and manage cloud-based data and big data systems including: Amazon Aurora ...

Accord Technologies Inc.

Data Engineer II

Arlington, VA · On-site

$131K - $158K/yr

Banking/Financial, Big Data, Data Modeling, ETL, Hadoop, Python, Spark, SQL , The ideal candidate must have 9+ years of hands-on data engineering experience building large-scale ETL pipelines using ...

MANTECH

Senior Data Engineer

Chantilly, VA · On-site

$109K - $148K/yr

MANTECH seeks a motivated, career and customer-oriented Senior Data Engineer to join our team in ... Leverage Big Data holdings to power prototypical AI/ML-based analytics and build custom solutions ...

GIGATEC Engineering

Big Data Architect

Annapolis Junction, MD · On-site

$65.25 - $83.75/hr

GIGATEC Engineering is seeking a Big Data Architect to create and maintain data workflows and automation pipelines using Apache Airflow. This role involves building reliable and scalable workflow ...

MANTECH

Senior Data Engineer

Chantilly, VA · On-site

$109K - $148K/yr

MANTECH seeks a motivated, career and customer-oriented Senior Data Engineer to join our team in ... Leverage Big Data holdings to power prototypical AI/ML-based analytics and build custom solutions ...

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Senior Big Data Engineer information

See Silver Spring, MD salary details

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$65

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How much do senior big data engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for senior big data engineer in Silver Spring, MD is $65.11, according to ZipRecruiter salary data. Most workers in this role earn between $55.43 and $73.32 per hour, depending on experience, location, and employer.

What is a senior big data engineer?

Senior Big Data Engineers are advanced-level professionals who design, build, and maintain large-scale data processing systems. They work with technologies such as Hadoop, Spark, and NoSQL databases to handle massive amounts of data efficiently. Their responsibilities often include optimizing data pipelines, ensuring data quality, and collaborating with data scientists and analysts to support business needs. Senior Big Data Engineers also mentor junior team members and help drive architectural decisions related to data infrastructure.

What skills and qualifications are needed to be a senior big data engineer?

To thrive as a Senior Big Data Engineer, you need advanced expertise in data architecture, distributed computing, and programming languages such as Java, Scala, or Python, typically backed by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, Kafka, and cloud platforms, as well as relevant certifications (e.g., Cloudera, AWS), is highly valuable. Strong problem-solving, communication, and leadership skills set outstanding candidates apart, especially when collaborating with cross-functional teams. These competencies are critical for designing scalable data solutions, ensuring data quality, and driving impactful business insights.

How does a senior big data engineer collaborate with data scientists and business stakeholders?

As a Senior Big Data Engineer, you'll frequently work alongside data scientists to design and maintain data pipelines that ensure reliable and accessible data for modeling and analytics. Collaboration with business stakeholders is also essential, as you'll help translate business requirements into technical data solutions, ensuring that data architecture supports organizational goals. Regular meetings, code reviews, and cross-team project planning are common, making strong communication and a collaborative mindset vital for success in this role.

What is the difference between Senior Big Data Engineer vs Data Architect?

AspectSenior Big Data EngineerData Architect
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with Hadoop, SparkBachelor's/Master's in CS, Data Science, or related; certifications like TOGAF, cloud architecture
Work EnvironmentDevelops, implements, and maintains data pipelines and systemsDesigns overall data infrastructure and architecture strategy
Employer & Industry UsageTech companies, finance, healthcare, retailLarge enterprises, consulting firms, cloud providers
Search & Comparison IntentUnderstanding technical roles, skills, and responsibilitiesFocus on data system design and strategic planning

While both roles work with data systems, a Senior Big Data Engineer primarily develops and maintains data pipelines and systems, whereas a Data Architect designs the overarching data infrastructure and strategy. The roles often collaborate but differ in scope and focus within data management.

What are the most commonly searched types of Big Data Engineer jobs in Silver Spring, MD?

The most popular types of Big Data Engineer jobs in Silver Spring, MD are:

What are popular job titles related to Senior Big Data Engineer jobs in Silver Spring, MD?

For Senior Big Data Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Senior Big Data Engineer jobs in Silver Spring, MD look for?

The top searched job categories for Senior Big Data Engineer jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Senior Big Data Engineer jobs?

Cities near Silver Spring, MD with the most Senior Big Data Engineer job openings:

Senior Big Data Engineer jobs near you
Infographic showing various Senior Big Data Engineer job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $135,425 per year, or $65.1 per hour.

Big Data/Spark Engineer

Software Guidance & Assistance

Rockville, MD • On-site

$56.75 - $75.25/hr

Other

Re-posted 9 days ago

Job description

Software Guidance & Assistance, Inc., (SGA), is searching for a Big Data/Spark Engineer for a contract assignment with one of our premier Regulatory clients. Must be local to one of these office locations: Rockville MD or Tysons VA.
Hybrid work is required - non local candidates will not be accepted.
2-step interview process - onsite interview mandatory!
High-volume AWS environment, extremely large data.
Top Skills: Spark, SQL, Python, AI assisted workflows, Automation validation.
Seeking a Big Data Engineer to design, develop, and optimize large-scale data processing systems. Will work closely with cross-functional teams to architect data pipelines, implement data integration solutions, and ensure the performance, scalability, and reliability of big data platforms. Ideally will have deep expertise in distributed systems, cloud platforms, and modern big data technologies such as Hadoop, Spark etc.
Responsibilities :
  • Design, develop, and maintain large-scale data processing pipelines using Big Data technologies (e.g., Hadoop, Spark, Python, Scala).
  • Implement data ingestion, storage, transformation, and analysis of solutions that are scalable, efficient, and reliable.
  • Stay current with industry trends and emerging Big Data technologies to continuously improve the data architecture.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Optimize and enhance existing data pipelines for performance, scalability, and reliability.
  • Develop automated testing frameworks and implement continuous testing for data quality assurance.
  • Conduct unit, integration, and system testing to ensure the robustness and accuracy of data pipelines.
  • Work with data scientists and analysts to support data-driven decision-making across the organization.
  • Ability to write and maintain automated unit, integration, and end-to-end tests.
  • Monitor and troubleshoot data pipelines in production environments to identify and resolve issues.
Required Skills :
  • Bachelor's degree in Computer Science, Information Systems or related discipline with at least five (5) years of related experience, or equivalent training and/or work experience; Master's degree and past Financial Services industry experience preferred.
  • Demonstrated technical expertise in Object Oriented and database technologies/concepts which resulted in deployment of enterprise quality solutions.
  • Past experience with developing enterprise quality solutions in an iterative or Agile environment.
  • Extensive knowledge of industry leading software engineering approaches including Test Automation, Build Automation and Configuration Management frameworks.
  • Experience with object oriented programming languages such as Java, Scala or Python.
Essential Technical Skills:
  • AI Tool Proficiency: Hands-on experience with AI development tools (GitHub Copilot, Q Developer, ChatGPT, Claude, etc.).
  • Technical Background: Strong software development background with ability to contribute to technical discussions.
  • Agile Methodology: Extensive experience with Scrum, Kanban, and continuous improvement practices.
Big Data technologies
  • Experience with Big data technologies such as Hadoop, Spark, Hive & Trino.
  • Understanding of common issues like:
    • Data skew and strategies to mitigate it.
    • Working with massive data volumes in PetaBytes.
    • Troublehsooting job failures due to resource limitations, bad data, scalability challenged.
  • Real-world debugging and mitigation stories.
AI Skills
  • Prompt Engineering: Proficiency in crafting effective prompts for AI coding assistants and analysis tools.
  • AI Workflow Design: Experience redesigning development processes to leverage AI capabilities.
  • Data Analysis: Ability to interpret AI-generated insights and translate them into actionable team improvements.
  • Change Management: Experience leading teams through AI adoption and workflow transformation.
SQL Skills (Window Functions, Joins, Complex Queries)
  • Comfort with SQL window functions, multi-table joins, aggregations.
  • Provide examples of write/optimize SQL queries.
  • Handle edge cases like NULLs, duplicates, ordering, etc.
Apache Spark (Development, Internals & Tuning)
  • Understanding of Spark's core architecture - executors, tasks, stages, DAG.
  • Spark performance tuning techniques: partitioning, caching, broadcast joins, etc.
  • Troubleshooting slow running/stuck jobs or resource issues in Spark.
  • Experience optimizing Spark jobs for large-scale datasets.
Cloud Technologies
  • Exposure to AWS services like S3, EMR, Glue, Lambda, Athena, etc.
  • Use S3 with Spark (e.g., dealing with file formats, consistency issues).
  • EKS, Serverless knowledge, etc.
Programming - Python or Scala
  • Ability to write clean, modular, and performant code.
  • Functional programming concepts (e.g., immutability, higher-order functions).
  • Real-world use cases where they wrote scalable data processing code.
  • Understanding of collections, concurrency, and memory management.
Good to have:
  • Experience with managing production data pipelines/ETL systems.
  • Experience with CI/CD.
  • Experience writing test cases.
  • AWS certifications.
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.
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