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Senior Big Data Engineer Jobs (NOW HIRING)

krg technology inc

Sr. Big Data Developer

Atlanta, GA

$51 - $66/hr

Years of Experience - 7+ Mandatory Skills - Java, Oracle, SQL , Green Plum Good Communication skill, Onsite experience Senior Big Data Technology Developer will be responsible for technically leading ...

LTIMindtree

Big DATA Developer with Python

Irving, TX

$48.25 - $66.50/hr

DASCA Big Data Senior Big Data Engineer * IIBA Business Data Analytics Certification Skills Mandatory Skills: Apache Spark, Big Data Hadoop Ecosystem, Python, Scala, SparkSQL Benefits/perks listed ...

LTIMindtree

Sr. Big DATA Developer

Rutherford, NJ

$54 - $70/hr

Job Title: Sr. Big DATA Developer Work Location Rutherford, NJ * Primary Skill Big Data * Secondary Skill SQL Autosys Bigdata Hadoop Tableau Data Analysis Prod monitoring Troubleshoot issue * 7 years ...

Apex Informatics

Senior Big Data Engineer

Plano, TX · On-site

$53.25 - $70.50/hr

Looking for true software engineering skill set. Experience working with large data sets, ETL, or applications that do high-volume data collection. Spark or other large scale data processing AWS ...

LTIMindtree

$47.25 - $61.25/hr

Job Title: Sr. Big DATA Developer Work Location Mississauga, Canada Qualifications * 6 years of relevant experience in Apps Development and design * Expertise in scalable data and event driven ...

Halo Group

Senior Big Data Consultant

Chicago, IL · On-site

$69.25 - $92.75/hr

Senior Big Data Consultant Location: Chicago, IL Duration: 3+ Months Description: We have a contract assignment for Big Data consultant who has expertise and experience in Hadoop, Cloudera , Spark ...

Jobsbridge

Senior Big Data Developer

Bristol, CT

$53 - $68.75/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Responsibilities: Design, develop and implement big data solutions on both ...

Jobsbridge

Sr. Big Data Developer

Minneapolis, MN · On-site

$55.25 - $71.75/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. GC/CITIZEN can apply Qualifications: Experience in database development ...

LTIMindtree

Sr Big Data PySpark- Full time

Irving, TX

$53.50 - $70.75/hr

Seeking a Senior Big Data Engineer with 5 to 10 years of experience proficient in Apache Spark and Python to design and implement scalable data processing solutions within the Python Data domain

Purple Drive Technologies

Big Data Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Big Data Engineer Location: Atlanta, GA / Tampa, FL/ Dallas, TX Job Summary We are seeking an experienced Big Data Engineer to design, build, and optimize large-scale data pipelines and distributed ...

Ventures Unlimited Inc

Sr. Big Data Architect

Mclean, VA

$68 - $91/hr

Company Description VUI Position : Sr. Big Data Architect Location: McLean, VA Type : Full Time ... developers, and interacts directly with key stakeholders. Responsible for developing long-term ...

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Senior Big Data Engineer information

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

As of May 29, 2026, the average hourly pay for senior big data engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Big Data Engineer, and why are they important?

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 typically 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 are Senior Big Data Engineers?

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 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.

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Senior Big Data Engineer jobs near you
Infographic showing various Senior Big Data Engineer job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $131,001 per year, or $63 per hour.
Sr. Big Data Engineer, Energy Service Engineering

Sr. Big Data Engineer, Energy Service Engineering

Tesla

Palo Alto, CA • On-site

$65.50 - $86.75/hr

Full-time

Posted 9 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers

Job description

Job Summary:
Tesla is seeking a skilled and collaborative Sr. Big Data Engineer to join their Energy Service Engineering team. The role involves architecting and implementing a cutting-edge data platform, developing data pipelines, and ensuring system reliability and performance to support the growth of their energy business.
Responsibilities:
• Design and implement robust, scalable solutions for processing terabyte-scale data
• Develop and maintain high-performance data pipelines using Apache Spark, Kafka, and other modern data technologies
• Build and optimize batch and streaming data processing systems
• Develop aggregate and summary tables for various engineering teams that span across multiple product lines and geographies
• Design and develop new systems and tools to enable cross-functional teams to consume and understand data faster
• Implement and maintain CI/CD pipelines for data applications
• Research and incorporate emerging data infrastructures, tools, and technologies
Qualifications:
Required:
• Strong data engineering background with expertise in at least two programming languages (Python, Scala, Java, or Rust)
• Expert-level experience with Apache Spark (PySpark, Spark SQL, Spark Streaming)
• Experience with modern data lake technologies (Delta Lake, Apache Iceberg, Apache Hudi)
• Experience with containerization and orchestration (Docker, Kubernetes)
• Proficiency in SQL and familiarity with database internals and performance concepts
• Demonstrated experience working with terabyte-scale data processing
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

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