Explore the latest big data engineer jobs from companies hiring across the globe. This page features curated opportunities for data engineers specializing in building and managing large-scale data processing systems.
Big Data Engineer
ByteCubed
Arlington, Virginia, US
full-time
Big Data Engineer / Developer | Washington, DC | Job # 5565
Accenture Federal Services
Washington, District of Columbia, US
full-time•
1mo ago
Azure ETL Data Engineer (healthcare)
E-IT
McLean, Virginia, US
contractor•
21h ago
Sr. Lead Data Engineer
Capital One
McLean, Virginia, US
full-time and part-time•
6d ago
Big Data Engineer
Tential
Rockville, Maryland, US
full-time•
2w ago
Big Data Engineer
Inframatix Inc
Chevy Chase, Maryland, US
Senior Big Data / Machine Learning Engineer
Spectraforce
McLean, Virginia, US
contractor
Big Data/Hadoop Engineer - In Person Interview - Locals @W2
Company Description
ByteCubed is a result-oriented and high impact consulting firm specializing in next generation software development and technology, delivering the most efficient strategies and cost-effective solutions that meet the ever-changing challenges that our clients face. Specialties: Big Data, Strategy and Business Architecture, Systems Engineering, Enterprise cloud services and solutions, PMO services, Innovation, R&D, Business Process and Improvements, and Software Engineering.
Job Description
ByteCubed is currently seeking a Big Data Engineer to work with a dynamic team building reusable SaaS components to ingest various types of data into a cloud environment using ETL tools, at our headquarters in Arlington, Virginia.
Come find out why we have a perfect rating on Glassdoor!
Responsibilities included, but not limited to:
• Implement aspects of application design - high-performance design, coding, caching mechanisms, security, encryption, state management, error logging, debugging, scalability, code reviews, environment configuration, and testing.
• Perform unit and system-level testing of applications.
• Develop reusable loosely-coupled software components to deploy on cloud platforms.
• Implement ETL processes.
• Implement business-layers as web service using Java, Spring Framework and JPA.
Qualifications
Basic Qualifications:
• Bachelor's Degree in Computer Science, Engineering or a related technical discipline.
• 5+ years of related software development experience, implementation of large enterprise systems or distributed computing environment
• Proficiency in Java, Spring, JPA and Hibernate.
• Proficiency in ETL development using tools such as Pentaho.
• Experience in solving big-data problems using Open Source technologies such as Hadoop/HDFS, Accumulo, Spark and HBase on a cloud platform.
• Proficiency in RDBMS including SQL Server, MySQL, Oracle.
• Proven track record of designing scalable, distributed software applications.
• Object-oriented design and programming experience.
• Due to the nature of work performed within our facilities, U.S. citizenship is required.
Preferred Qualifications:
• 7+ years in Java, C#
• Cloudera ecosystems Hive, Pig, Impala, HBase, Mahout, Spark
• Department of Defense SECRET security clearance.
Additional Information
All your information will be kept confidential according to EEO guidelines. Please include resumes when replying to this post. Contact information for this poster can be found at: https://www.linkedin.com/pub/ashley-a-staring/12/453/767
Big Data Engineer Jobs: At a Glance
Insights drawn from the latest openings on this page so you can compare employers, locations, and pay before applying.
Top Companies Hiring
ByteCubed1 role
Accenture Federal Services1 role
E-IT1 role
Capital One1 role
Tential1 role
Inframatix Inc1 role
Top Locations
Virginia, US6 roles
Maryland, US3 roles
District of Columbia, US1 role
Most listings on this page are on-site or hybrid.
Salary Range Overview
Across 10 listings, advertised pay ranges from USD 75 to USD 11k.
Typical band: USD 3k – 6k.
Figures reflect employer-disclosed salaries on current openings and may vary by location, experience, and company stage.
Employment Types
Full-Time5 roles
Contractor3 roles
Full-Time And Part-Time1 role
Get Ready for a big data engineer Interview
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Here are some of the latest openings matching this category. Browse the full list above to filter by location, experience, and employment type.
#1Big Data Engineer
ByteCubedArlington, Virginia, USFull-Time
Company Description ByteCubed is a result-oriented and high impact consulting firm specializing in next generation software development and technology, delivering the most efficient strategies and cost-effective solutions that meet the ever-changing challenges that our clients face. Specialties: Big Data, Strategy and …
#2Big Data Engineer / Developer | Washington, DC | Job # 5565
Accenture Federal ServicesWashington, District of Columbia, USFull-TimeUSD 6k–11k / monthPosted Apr 20, 2026
At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public …
E-ITMcLean, Virginia, USContractorPosted May 19, 2026
Role: Azure ETL Data Engineer Location: McLean VA 22102 Contract Key Responsibilities • Design, develop, and maintain scalable data pipelines using Azure Data Factory / Azure Data Pipelines (ADT). • Build and optimize ETL workflows to extract, transform, and load data from multiple structured and unstructured sources. …
Capital OneMcLean, Virginia, USFull-Time And Part-TimePosted May 14, 2026
Sr. Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real proble…
TentialRockville, Maryland, USFull-TimePosted May 4, 2026
Big Data Engineer Overview: Join our dynamic team as a Big Data Engineer, where you'll leverage cutting-edge technologies to design, develop, and optimize large-scale data processing systems. This thrilling role will have you collaborating with cross-functional teams to architect data pipelines and implement integratio…
Company Description InfraMatix Inc. is a Professional services and system integration company delivering IT security, identity, access management and regulatory compliance solutions leveraging 100s of years of collective experience across all major IAM vendor technologies. Focus on the strategy, design, configuration, …
Job Title: Senior Big Data / Machine Learning Engineer Location: McLean, VA (Hybrid – 3 days onsite) Duration: 12 Months Job Description: We are looking for a Senior Big Data / ML Engineer to support a banking client's AML and Risk Technology team. The role involves building scalable data pipelines, processing large tr…
#8Big Data/Hadoop Engineer - In Person Interview - Locals @W2
FutureTech Consultants LLCMcLean, Virginia, USFull-TimePosted May 11, 2026
Title: Big Data Engineer Location: Rockville, MD or McLean, VA (Hybrid 3 days onsite with 2 days remote) Duration: 6+ Months Contract Interview process: Coding Assessment, Phone, In-person Interview (MUST) Job Summary We are seeking an experienced Big Data Engineer to design, build, and optimize large-scale data proces…
Our client, a leading organization in the financial services industry, is seeking a Big Data Engineer to join their team. As a Big Data Engineer, you will be part of the Data Engineering department supporting cross-functional teams. The ideal candidate will demonstrate strong problem-solving skills, excellent communica…
Open to Virginia location or Maryland! Overview • We are seeking a highly skilled and experienced Big Data Engineer to design, develop, and optimize large-scale data processing systems. You will work closely with cross-functional teams to architect data pipelines, implement data integration solutions, and ensure the pe…
Explore the latest big data engineer jobs from companies hiring across the globe. This page features curated opportunities for data engineers specializing in building and managing large-scale data processing systems.
Big Data Engineers design and operate distributed data systems that handle petabytes of data. They work with Apache Spark, Hadoop, Kafka, Flink, and Hive to build batch and real-time data processing pipelines. Employers seek candidates with strong skills in Java, Scala, or Python, along with expertise in data lake architectures, columnar storage formats (Parquet, ORC), and cloud-based big data services (AWS EMR, Google Dataproc, Azure HDInsight).
These roles are critical at organizations generating massive data volumes — including ad-tech, social media, IoT, telecommunications, financial services, and e-commerce companies. Experience with data governance, performance tuning for distributed queries, and cost optimization for cloud compute is highly valued.
Our curated listings include remote, hybrid, and onsite positions across global markets. Many roles offer competitive salaries, opportunities to work with cutting-edge distributed systems, and career advancement into data platform leadership.
Each job posting provides detailed technical requirements, big data platform expertise needed, and application instructions to help you find the right big data engineering role.
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