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Remote Big Data Analytics Jobs (NOW HIRING)

Big Data Engineer

Sunnyvale, CA · Remote

$100K - $150K/yr

Big Data Engineer - Remote Bright Vision Technologies is a technology consulting and software ... In this role you will be responsible for ingesting, transforming, and analyzing massive volumes of ...

Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other ...

Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other ...

Senior Big Data Engineer

New York, NY · On-site +1

$170K - $180K/yr

Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ... Perform capacity planning, performance tuning, troubleshooting, and root cause analysis for ...

Data Analytics Technical Lead Remote contract role Data Analytics Technical Lead with extensive ... Proven expertise leading enterprise-scale analytics initiatives across modern cloud and big data ...

Big Data Engineer

$57 - $75.50/hr

Senior Software Engineer, Big Data Duration : Long Term Exp: 10+ years Job Overview : We are currently seeking an Senior Big Data Engineer in Hadoop Plaftform. Our ideal candidate exhibits a can-do ...

Advanced Trade Analytics Platform (ATAP) Remote (U.S.) Active Top Secret Clearance Required Use ... Five (5) years of experience in applied research, big data analytics, statistics, data science ...

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

At NuView Analytics we help companies accelerate the time to insights from their data. We do this ... Big Query, Redshift, Snowflake, etc.) and Data Visualization (Tableau, Looker, Power BI, etc.

Aretec seeks an AWS Data Analytics and Management Lead for a 100% remote opportunity experience ... enterprise big data application deployment and solution architecture on complex heterogeneous ...

Big Data Testing Engineer

$57 - $75.50/hr

Net Orbit Inc has openings for the position Big Data Testing Engineer. Project Location ... Remote / El Segundo, CA 90245 (Current Roles & Responsibility): • Validation of data using sqoop ...

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Remote Big Data Analytics information

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How much do remote big data analytics jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for remote big data analytics in the United States is $59.24, according to ZipRecruiter salary data. Most workers in this role earn between $58.65 and $59.86 per hour, depending on experience, location, and employer.

What is a Remote Big Data Analytics job?

A Remote Big Data Analytics job involves analyzing large and complex data sets to extract insights, identify trends, and support data-driven decision-making, while working from a location outside a traditional office environment. Professionals in this role use tools like Hadoop, Spark, and SQL to process and interpret big data, often collaborating with teams virtually. They help businesses optimize operations, improve products, and better understand customer behavior. Remote Big Data Analysts must have strong analytical, technical, and communication skills to succeed in this flexible work arrangement.

What is the difference between Remote Big Data Analytics vs Remote Data Engineer?

AspectRemote Big Data AnalyticsRemote Data Engineer
Required CredentialsBachelor's in CS, Data Science, or related; often certifications in analytics toolsBachelor's in CS, Software Engineering, or related; certifications in cloud platforms and data pipelines
Work EnvironmentData analysis platforms, cloud services, analytics toolsData pipelines, ETL tools, cloud infrastructure
Industry UsageFinance, healthcare, marketing, e-commerceTech, finance, healthcare, retail
Common Search & ComparisonYesYes

Remote Big Data Analytics focuses on analyzing large datasets to extract insights, using analytics tools and statistical methods. Remote Data Engineers build and maintain data pipelines and infrastructure to enable data analysis. While both roles work with big data, analytics professionals interpret data, whereas engineers develop the systems to process it.

What are some common challenges faced by professionals working in remote Big Data Analytics roles, and how can they be addressed?

Professionals in remote Big Data Analytics roles often encounter challenges related to data accessibility, effective communication with cross-functional teams, and managing time zones. Ensuring secure access to large datasets and collaborating efficiently with colleagues can be more complex when working remotely. To address these challenges, it's important to use robust cloud-based tools, establish clear communication practices, and schedule regular virtual check-ins. Additionally, developing strong self-discipline and time management skills can help maintain productivity and collaboration.

What are the key skills and qualifications needed to thrive as a Remote Big Data Analytics professional, and why are they important?

To thrive as a Remote Big Data Analytics professional, you need a strong background in statistics, data modeling, and programming languages like Python or R, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with big data tools such as Hadoop, Spark, SQL databases, and cloud platforms like AWS or Azure, as well as certifications in these technologies, are highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly are standout soft skills for this role. These skills enable effective data-driven decision-making and collaboration across distributed teams in dynamic business environments.
More about Remote Big Data Analytics jobs
What cities are hiring for Remote Big Data Analytics jobs? Cities with the most Remote Big Data Analytics job openings:
What are the most commonly searched types of Big Data Analytics jobs? The most popular types of Big Data Analytics jobs are:
What states have the most Remote Big Data Analytics jobs? States with the most job openings for Remote Big Data Analytics jobs include:
Infographic showing various Remote Big Data Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $123,210 per year, or $59.2 per hour.

$100K - $150K/yr

Full-time

Posted 3 days ago


Job description

Big Data Engineer – Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Big Data Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
We are seeking an experienced Big Data Engineer to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems. In this role you will be responsible for ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads. The ideal candidate will combine deep technical expertise across the Hadoop ecosystem with strong software engineering fundamentals and a clear understanding of how to deliver reliable, performant, and cost-effective data platforms in production environments.
Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • Five or more years of professional experience designing and operating big-data pipelines on Hadoop.
  • Strong hands-on expertise with Apache Spark (Scala, Python, or Java) in production environments.
  • Solid experience with Hive, HDFS, Sqoop, HBase, and the broader Hadoop ecosystem.
  • Hands-on experience with streaming data platforms such as Kafka, Spark Streaming, or Flink.
  • Strong SQL skills and experience working with both relational and NoSQL data stores.
  • Experience with workflow orchestration tools such as Airflow or Oozie.
  • Solid understanding of distributed systems concepts, including partitioning, replication, and fault tolerance.
  • Strong scripting skills in Python or Shell.
  • Excellent troubleshooting, debugging, and documentation skills.
Preferred Qualifications
  • Experience operating Hadoop on cloud platforms such as AWS EMR, Azure HDInsight, or Databricks.
  • Familiarity with modern lakehouse formats (Delta, Iceberg, Hudi).
  • Exposure to data governance tooling such as Apache Atlas or Collibra.
  • Experience with Kubernetes-based data platforms (Spark-on-K8s, Trino).
  • Hands-on experience with CI/CD and infrastructure-as-code in data engineering workflows.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to hilda@bvteck.com
Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.