Big Data Engineer Jobs

Discover Big Data Engineer opportunities with vetted employers on Ladders. These professionals build and maintain the systems that collect, process, and organize massive datasets, helping organizations turn complex information into useful insights. Explore roles paying $100,000 or more across technology, finance, healthcare, retail, and other industries.

What Big Data Engineers Do

Big Data Engineers design scalable data architectures and develop pipelines that move information reliably from source systems to analytics platforms. They work with structured and unstructured data, optimize distributed processing, and help ensure data is accessible, accurate, secure, and ready for analysis.

Common Skills and Technologies

Employers often seek experience with SQL and programming languages such as Python, Java, or Scala, as well as distributed data technologies like Apache Spark and Kafka. Familiarity with cloud platforms, data lakes and warehouses, orchestration tools, data modeling, and monitoring can also be valuable. Specific requirements vary by role and organization.

Career Opportunities

Big Data Engineers may specialize in cloud data platforms, streaming systems, data infrastructure, or analytics engineering. Related opportunities include Data Engineer, Senior Data Engineer, Data Platform Engineer, and Big Data Architect. Browse current listings to compare responsibilities, technologies, and seniority levels.

Find Big Data Engineer Jobs on Ladders

Ladders focuses on vetted professional opportunities paying $100,000 or more. Search Big Data Engineer jobs to find roles aligned with your experience, preferred technologies, and career goals.

350

BIG Data Engineer Jobs

Average Salary: $125,024

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Top companies hiring for Big Data Engineer

Deloitte Accenture StackAdapt Amazon TikTok SAIC Capgemini Breakthru Beverage Group Koch Industries Steampunk Comcast Binti Braze Cognizant GEI Consultants

Top similar job titles to Big Data Engineer

Data Engineer jobs Senior Data Engineer jobs Analytics Engineer jobs Machine Learning Engineer jobs Data Science Manager jobs Lead Data Scientist jobs Lead AI Engineer jobs Data Architect jobs Staff Data Scientist jobs Full Stack Engineer jobs Senior Infrastructure Engineer jobs Infrastructure Engineer jobs Database Architect jobs Senior Software Engineer jobs Senior Data Analyst jobs

Top cities hiring for Big Data Engineer

New York, NY jobs San Francisco, CA jobs Chicago, IL jobs Toronto, ON jobs Washington, DC jobs Arlington, VA jobs Seattle, WA jobs San Jose, CA jobs Los Angeles, CA jobs San Diego, CA jobs

Frequently Asked Questions (FAQ)

What does a Big Data Engineer do?
A Big Data Engineer builds and operates systems for collecting, processing, storing, and delivering large datasets. The role commonly includes creating data pipelines, working with distributed computing platforms, and improving data reliability and performance.
What skills are commonly required for Big Data Engineer jobs?
Commonly requested skills include SQL, Python, Java, or Scala; distributed processing tools such as Spark; data pipeline and streaming technologies; cloud platforms; and experience with data warehouses or lakes. Requirements depend on the employer and position.
How is a Big Data Engineer different from a Data Scientist?
Big Data Engineers typically build the infrastructure and pipelines that make data usable, while Data Scientists primarily analyze data and develop statistical or machine-learning models. The responsibilities can overlap depending on the organization.
Do Big Data Engineer jobs pay $100,000 or more?
Compensation varies based on experience, location, industry, and role scope. Ladders features vetted professional jobs paying $100,000 or more, so candidates can explore qualifying opportunities.
What roles can Big Data Engineers pursue next?
With experience, Big Data Engineers may advance to Senior or Lead Data Engineer, Data Platform Architect, Cloud Data Architect, or engineering management roles. Career paths depend on technical strengths and professional interests.