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Big Data Platform Engineer Jobs (NOW HIRING)

Real Soft, Inc.

Platform Engineer (2391)

Columbia, MD · On-site

We are looking for a Cloud Platform Engineer with experience in Cloud technology (AWS), Python ... Big Data / Cloud technology. As a result, the candidate will be expected to work autonomously ...

NAVA Software Solutions

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

Big Data Engineer Location: Atlanta GA - Hybrid Duration: 12 months The successful candidate must ... Data Platforms. They must be a very good communicator, both written and verbal, and have some ...

Syndicus, Inc.

Platform Engineer

Columbia, MD · Hybrid

$164K - $213K/yr

Platform Engineer (8017)Columbia, MDDescription We are looking for a Cloud Platform Engineer with ... Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g.

Netflix

OR · On-site

$114K - $137K/yr

... or engineering experience, particularly in Big data technologies including and not limited to Spark, Trino, Druid, Iceberg, Hadoop framework, Kafka and Flink. Prior experience supporting platforms ...

Talent Groups

Big Data Engineer(Spark/Scala)

Sunnyvale, CA

$66.25 - $87.75/hr

Description Responsible for developing and operating big data platform using open source or other ... programming skills in Java, Scala, Python, or Go. Proven expertise in designing, building, and ...

New

Vurke Inc

Data Platform Engineer

Union City, CA · Remote

$130K - $156K/yr

Data Platform Engineer Job Title: Data Platform Engineer Location: Remote, USA Job Type: Full-Time Experience Required: 5 to 8 years Eligibility: Male/Female both can apply Role Description We are ...

Jobsbridge

Sr. SOFTWARE ENGINEER/Big Data

San Jose, CA

$65.25 - $86.50/hr

Develop web applications and tools for the effective management and operation of big data platform ... Mentor and coach junior engineers on various design and development aspects of big data platform.

MasterCard

Senior Software Engineer (Big Data)

O Fallon, MO · On-site +1

$52.25 - $69/hr

Title and Summary Senior Software Engineer (Big Data) Position Overview Have you ever wanted to be ... Mastercard is seeking a Backend Software Engineer to join the AI&DPE Data Engineering platform team ...

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 ... L/ELT design, streaming platforms , and best practices for scalable data processing.

Syndicus, Inc.

Platform Engineer (7029)

Columbia, MD · Hybrid

$129K - $229K/yr

Experience with programming skills with Go. * Have a solid understanding of Linux systems, hosts ... Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g.

Sonoma Consulting Inc.

Senior Big Data Engineer

Duluth, GA

$51.25 - $68/hr

Leveraging Aster/Hadoop and SQL data platforms, data mining, visualization and machine learning ... Big Data Engineer / Big Data Consultant / Big data Developer PREFERRED QUALIFICATIONS: Teradata ...

Jobsbridge

Big Data Solutions Engineer

Bridgewater, NJ

$57 - $75.50/hr

... on Big Data Platform Proficiency with Java, Python, Scala, HBase, Hive, MapReduce, ETL, Kafka ... Programming language -- Java (must), Python, Scala, Ruby * Batch processing -- Hadoop MapReduce ...

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

As of Jun 10, 2026, the average hourly pay for big data platform 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 Big Data Platform Engineer, and why are they important?

To thrive as a Big Data Platform Engineer, you need strong expertise in distributed computing, data architecture, and programming languages like Java, Python, or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data tools and frameworks such as Hadoop, Spark, Kafka, and cloud platforms (e.g., AWS, Azure) as well as certifications like Cloudera or AWS Big Data are often required. Problem-solving, adaptability, and effective communication are essential soft skills for collaborating with cross-functional teams and addressing complex data challenges. These skills and qualities are crucial for designing, optimizing, and maintaining robust data solutions that drive business insights and innovation.

What is the difference between Big Data Platform Engineer vs Data Engineer?

AspectBig Data Platform EngineerData Engineer
Primary FocusDesigning, building, and maintaining big data infrastructure and platformsDeveloping data pipelines, ETL processes, and managing data storage
Skills & CertificationsBig data technologies (Hadoop, Spark), cloud platforms, scriptingSQL, Python, data modeling, ETL tools
Work EnvironmentData infrastructure teams, cloud environments, large-scale data systemsData teams, analytics, and application development environments
Industry UsageTech companies, finance, healthcare with large data needsAny industry requiring data integration and analytics

While both roles involve working with data, Big Data Platform Engineers focus on building and maintaining the infrastructure for big data processing, whereas Data Engineers develop data pipelines and manage data flow for analysis. Both roles often collaborate but serve different core functions within data ecosystems.

What are some typical challenges a Big Data Platform Engineer faces when integrating new data sources into an existing platform?

Big Data Platform Engineers often encounter challenges like ensuring data compatibility, maintaining data quality, and minimizing disruption to ongoing operations when integrating new sources. They need to address issues such as data format inconsistencies, varying data latency, and scaling ingestion pipelines to handle increased loads. Collaboration with data architects, data scientists, and business stakeholders is essential to align integration efforts with organizational needs and compliance requirements. Effective troubleshooting and automation can help streamline the integration process and maintain platform stability.

What are Big Data Platform Engineers?

Big Data Platform Engineers are technology professionals who design, build, and maintain large-scale data processing systems. They work with tools and frameworks such as Hadoop, Spark, and cloud-based solutions to manage, process, and analyze vast amounts of structured and unstructured data. Their role involves ensuring data pipelines are reliable, scalable, and secure, supporting data scientists and analysts in extracting valuable insights from big data. They also optimize system performances and troubleshoot issues related to data storage and processing. Overall, they play a crucial role in enabling data-driven decision-making within organizations.
More about Big Data Platform Engineer jobs
What job categories do people searching Big Data Platform Engineer jobs look for? The top searched job categories for Big Data Platform Engineer jobs are:
Big Data Platform Engineer jobs near you
Support Solutions Engineer (L5) Data Platform, Big Data / Analytics

Support Solutions Engineer (L5) Data Platform, Big Data / Analytics

Netflix

Remote

$117K - $140K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 10 days ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

57th of 65 rated media

Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.
About the Engineering Support Organization
The aim of the Engineering Support Organization is to enable Platform Engineering to effectively and sustainably scale the support they provide to their customers. The team is the frontline resource for the engineering support needs of our customers (i.e., our workforce) - handling, troubleshooting, and resolving customer requests and issues. In addition, the team will focus on ways of working, customer advocacy, support tooling, platform product offerings, documentation, and developer education.
Our Mission
Deliver an excellent support experience to Netflix's developer community. To advocate for our customers, follow through on issues and resolve them in a reasonable time. If blockers prevent immediate resolution, we communicate status and ensure there is visibility into why there is a delay.
Provide insights, feedback and champion customer sentiment about the tools we support to our partners across Productivity and Data Platform Engineering. Partner with Product Management, Developer Education and Engineering to track and maintain visibility into ongoing issues and communicate customer needs to ensure improving in these areas is prioritized.
Drive collaboration efforts to reduce product friction and increase usability so that Platform Engineering can build, deploy and deliver highly functional solutions for the Developer Community.
The Role
We are looking for a Support Solutions Engineer with a passion for data platform infrastructure and tooling, customer service, and automation. You will be responsible for monitoring and handling our customers' requests, troubleshooting, solving issues, automating support needs, developing support documentation and runbooks, improving and maintaining support tools and automation, understanding our product offerings, and continuously looking for ways to improve the engineering support experience.
Our ideal team member has first-hand experience working in customer-facing, engineering support roles, writing and building a comprehensive self-service knowledge base and has knowledge of infrastructure, internal tooling, platforms, and cloud computing. You are excellent at understanding and solving complex and ambiguous problems and constantly seek improvement. As an Engineer in this role, we need a candidate who can understand our complex offerings on a technical level, be hands-on in the development of our support automation tooling, and recommend product and operational improvements based on customer interactions.
What you'll need to be successful:
  • A minimum of 5 years of professional support or engineering experience, particularly in Big data technologies including and not limited to Spark, Trino, Druid, Iceberg, Hadoop framework, Kafka and Flink.
  • Prior experience supporting platforms built using open source technologies such as Apache Kafka, Spark, and Hadoop.
  • You have worked with big data warehouse storage systems (e.g. Iceberg)
  • You have at least 1 year of experience in providing technical support for Kafka clusters or other pub/sub systems like Google Cloud Pub/Sub, RabbitMQ, etc.
  • Ability to read and write SQL queries to pull required complex data to support any reported issues/product defects
  • Prior Experience with cloud infrastructure and/or container orchestration platform
  • You have the desire and aptitude to learn how the pieces of the big data platform work together .
  • Ability to adapt to new tools and technologies quickly, and a willingness to continuously learn and grow in the field of big data and data movement.
  • You are a data-driven and evidence-based decision-maker
  • You are proficient in at least one programming language, ideally Python and/or Java, enabling you to contribute to codebases across related domains
  • Experience in developing tools and scripts to automate processes and improve efficiency, with a strong focus on continuous improvement.
  • Demonstrated ability to provide superior customer support across a complex organization, with a focus on enhancing the customer experience.
  • Excellent written and verbal communication skills, with an appreciation for the importance of comprehensive documentation.
  • Strong collaboration skills and experience working with cross-functional teams.
  • Passion for creating technical documentation and tutorials, with a deep understanding of what makes an effective knowledge base.
  • Strong problem-solving skills and the ability to troubleshoot complex issues in a dynamic environment
  • Knack for providing proactive feedback during early development stages of a product offering based on subject matter expertise and user sentiment.

Other attributes that will excite us:
  • Experience building GenAI solutions for Support is a big plus
  • Experience building and maintaining mature support infrastructure

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $270,000.00 - $410,000.00. This compensation range will vary based on location.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled.

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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997

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