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.
HYBRID:: Big Data Engineer at Washington, DC / Rockville, MD / McLean, VA
FutureTech Consultants LLC
McLean, Virginia, US
contractor•
3d ago
Big Data Engineer - Python/Scala, Spark, Hadoop - Full Time
Programmers.io
Arlington, Virginia, US
full-time•
6d ago
Data Engineer (Data Mgt) - Mid
NALLEY CONSULTING
Washington, District of Columbia, US
full-time•
4d ago
Data Engineer 4 - Intelligent Foundations and Experiences (IFX)
Title: Big Data Engineer
Location: Washington, DC / Rockville, MD / McLean, VA (Hybrid 3 days onsite with 2 days remote)
Duration: 6 Months with possible extension
Interview process: Phone, Onsite panel
Job Summary:
We are seeking an experienced Big Data Engineer to design, develop, and optimize large-scale data processing systems. This is an engineering-focused role supporting data-intensive applications and data science workflows. The ideal candidate has strong experience with distributed systems, cloud platforms, and technologies such as Spark, Hadoop, Python, and Scala.
Responsibilities
Design, develop, and maintain scalable data processing pipelines using Spark, Hadoop, Python, Scala, and related technologies.
Build reliable solutions for data ingestion, storage, transformation, and processing.
Translate business and analytical requirements into scalable engineering solutions.
Optimize data pipelines for performance, scalability, and reliability.
Build datasets, features, and pipelines that support data science, analytics, and model development.
Develop automated testing frameworks and implement unit, integration, system, and end-to-end testing.
Implement data quality controls and continuous testing practices.
Monitor and troubleshoot production data pipelines and resolve performance or reliability issues.
Collaborate with data scientists, analysts, and engineering teams on data-driven solutions.
Evaluate emerging technologies and continuously improve data architecture and engineering practices.
Qualifications
Strong hands-on Big Data engineering experience.
Experience with Apache Spark and Hadoop ecosystems.
Strong programming skills in Python and/or Scala.
Experience designing and optimizing large-scale data pipelines and distributed processing systems.
Experience with cloud-based data platforms and services.
Strong understanding of data ingestion, transformation, storage, and processing patterns.
Experience with automated testing and data quality practices.
Experience supporting data science or machine learning workflows.
Strong problem-solving and troubleshooting skills.
Experience with graph data or graph technologies is a plus.
Ideal Background
This role is best suited for a hands-on data engineer who has built large-scale data platforms and pipelines while working closely with data science teams. Direct data science experience is not required, but experience building the data infrastructure that supports analytics and machine learning is highly valued.
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
Programmers.io2 roles
FutureTech Consultants LLC1 role
NALLEY CONSULTING1 role
Capital One1 role
Intone Networks1 role
Software Guidance & Assistance, Inc. (SGA, Inc.)1 role
Top Locations
Virginia, US7 roles
District of Columbia, US2 roles
Maryland, US1 role
Most listings on this page are on-site or hybrid.
Salary Range Overview
Across 10 listings, advertised pay ranges from USD 58 to USD 63.
Typical band: USD 58 – 63.
Figures reflect employer-disclosed salaries on current openings and may vary by location, experience, and company stage.
Employment Types
Full-Time7 roles
Contractor2 roles
Full-Time And Part-Time1 role
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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.
#1HYBRID:: Big Data Engineer at Washington, DC / Rockville, MD / McLean, VA
FutureTech Consultants LLCMcLean, Virginia, USContractorPosted Oct 6, 2026
Title: Big Data Engineer Location: Washington, DC / Rockville, MD / McLean, VA (Hybrid 3 days onsite with 2 days remote) Duration: 6 Months with possible extension Interview process: Phone, Onsite panel Job Summary: We are seeking an experienced Big Data Engineer to design, develop, and optimize large-scale data proces…
#2Big Data Engineer - Python/Scala, Spark, Hadoop - Full Time
Programmers.ioArlington, Virginia, USFull-TimePosted Oct 3, 2026
One of our client is Looking Big Data Engineer for Full Time Role at Arlington VA (Hybrid) Title – Big Data Engineer – Python/Scala, Spark, Hadoop Location- Arlington, VA (3 Days onsite/week) Terms- Full Time Job Summary: • Ability to easily move between business, data management, and technical teams; ability to quickl…
NALLEY CONSULTINGWashington, District of Columbia, USFull-TimePosted Oct 5, 2026
Join the Nalley Consulting team as a Data Engineer focusing on Data Management and Tool Maintenance. Position: Data Engineer LCAT: Mid Data Engineer (Data Management and Tool Maintenance) Location: DIA HQ, Washington, DC Required clearance and polygraph: Active TS/SCI and CI polygraph. Candidates with current CI polygr…
#4Data Engineer 4 - Intelligent Foundations and Experiences (IFX)
Capital OneMcLean, Virginia, USFull-Time And Part-TimePosted Oct 6, 2026
Data Engineer 4 - Intelligent Foundations and Experiences (IFX) 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, doe…
Programmers.ioArlington, Virginia, USFull-TimePosted Oct 1, 2026
Job Description: Position: Big Data Engineer – Python/Scala, Spark, Hadoop Location: Arlington, VA (3 Days onsite/week) Hire Type: Full Time Experience: 10+ Years Job Summary: Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify tech…
Project Description We are looking for experienced java big data developers in our enterprise Transparency Services group. Big data developer will work on ingesting, storing, validating and disseminating after transforming data in a consumable format for business intelligence teams and data analysts to get deeper busin…
Software Guidance & Assistance, Inc., (SGA), is searching for a Junior Big Data Engineer (AI-Forward) for a CONTRACT assignment with one of our premier Regulatory clients in the DMV area. We are seeking an early-career Big Data Engineer who works AI-first. This role is for someone 1-2 years into their career who alread…
ExperisMcLean, Virginia, USFull-TimePosted Oct 3, 2026
We are seeking a highly skilled and experienced Big Data Engineer to design, develop, and optimize large-scale data processing systems. In this role, you will work closely with cross-functional teams to architect data pipelines, implement data integration solutions, and ensure the performance, scalability, and reliabil…
Cymertek Corporation is seeking a Big Data Engineer in Tysons, VA to design, develop, and maintain scalable data pipelines supporting business intelligence and analytics. The role requires strong knowledge of distributed systems, data storage optimization, and governance, with a focus on high-performance data processin…
UpsideWashington, District of Columbia, USFull-Time
Meet Upside We created Upside to transform brick-and-mortar commerce. Our technology uses the sophistication of online retail—profit measurement, attribution, and incrementality—to provide users with more value on their everyday purchases and brick-and-mortar businesses with new, profitable customers. We’ve helped mill…
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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