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Remote Big Data Jobs in Mendham, NJ (NOW HIRING)

Dlapiper

Data Scientist

Short Hills, NJ · On-site +1

... Big data tools: Hadoop, Azure, etc. * Experience in a professional services or law firm is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

NAVA Software Solutions

Data Architect - Remote

Parsippany, NJ · On-site +1

$64 - $82.50/hr

Data Architect Data Warehouse ODI and OIC Location: 100% Remote Duration: 6-12 months Mandatory ... Familiarity with the following is a big plus: * Experience with Commercial Data (KOL, HCP, HCO ...

Diverse Lynx LLC

User Researcher

Newark, NJ · Remote

$60/hr

Perform quick but thorough data analysis in order to create actionable findings. Deliver high ... Hands-on experience with the following methods: lab-based user testing, remote testing, field ...

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Remote Big Data information

See Mendham, NJ salary details

$45.6K

$163.6K

$241.4K

How much do remote big data jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote big data in Mendham, NJ is $163,568.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,300.00 and $168,500.00 per year, depending on experience, location, and employer.

What is a remote big data?

A Remote Big Data job involves working with large datasets, analyzing trends, and optimizing data infrastructure, all while telecommuting. Professionals in this role use tools like Hadoop, Spark, and SQL to process and interpret complex data. They may work for tech companies, finance, healthcare, or other industries that rely on data insights. A strong background in data engineering, analytics, or machine learning is often required. These roles offer flexibility but demand strong communication and collaboration skills for remote teamwork.

What are the typical daily responsibilities of a remote big data professional?

As a Remote Big Data professional, your daily tasks often include developing, maintaining, and optimizing large-scale data processing pipelines, analyzing datasets to extract insights, and troubleshooting performance issues. You’ll collaborate closely with cross-functional teams—such as data engineers, analysts, and product managers—through virtual meetings and shared documentation tools. Regular responsibilities may also involve implementing data quality standards, ensuring data security, and integrating new data sources. The remote aspect of the role emphasizes self-motivation and clear digital communication to keep projects on track. This position offers a dynamic workday where your contributions directly impact business intelligence and innovation.

What are the key skills and qualifications needed to thrive in the remote big data position?

To excel as a Remote Big Data professional, a solid background in data analysis, distributed computing, and programming languages such as Python, Java, or Scala is essential, often supported by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, Kafka, and cloud platforms (AWS, Azure, or Google Cloud) as well as relevant certifications can be highly advantageous. Strong problem-solving abilities, self-management, and effective remote communication skills are critical for collaborating with distributed teams. These combined skills enable professionals to efficiently process massive datasets, create scalable solutions, and contribute to data-driven decision-making from a remote environment.

What cities near Mendham, NJ are hiring for Remote Big Data jobs?

Cities near Mendham, NJ with the most Remote Big Data job openings:

Remote Big Data jobs near you

Sr. Data Engineer - Provider Registry - Remote

NAVA Software Solutions

Bedminster, NJ • On-site, Remote

$116K - $140K/yr

Full-time

Re-posted 6 days ago

Job description

NAVA Software solutions is looking for a Sr. Data Engineer - Provider Registry
Details:
Sr. Data Engineer - Provider Registry
Location: Remote project
Duration: 6-12 months
The Senior Data Engineer will apply a logical, systematic approach to problem-solving using mathematical and statistical techniques and/or innovative/quantitative analytical approaches to identify and qualify the Provider Registry and make recommendations to resolve business problems and help drive change. This involves gathering, manipulating and synthesizing data, models and other relevant information to draw conclusions and provide segmentation of the Provider Registry.The right person for this role will have a background in Data Engineering, will have rich experience building robust software solutions, and will have experience working with large data sets.
What You Will Do:
  • Applying new algorithms to enable fuzzy matching
  • Scaling application of the algorithm using dataframes such as Pandas and GPUs
  • Applying new algorithms to introduce new linkages from the data
  • Segmentation using diverse intuitive and non-intuitive data points and potentially fuzzy matching data sources
  • Working to design and build new approaches to measuring quality and improving algorithms and matching processes
  • Working with the data platform to build solutions
  • Prepare reports and present analytic results in non-technical language with an orientation toward answering questions and addressing issues

Skills and Experience You Will Need:
  • Experience building production data pipelines with distributed data processing technologies.
  • Hands-on and deep experience with schema design and data modeling.
  • Proficiency in Python and are passionate about writing clean, supportable code.
  • Advocacy for data quality. You have a strong opinion on when data audits, unit tests, and documentation can be most effective.
  • Technical thought leadership
  • Proficient business skills to understand problems and build the algorithms necessary to find the right answers applicable to the business needs
  • Experience and enjoy mentoring others.

Ideal Candidate:
  • 5+ years experience as a Data EngineerDeveloper
  • Python
  • Experience with Scala, Pandas
  • Experience debugging complex data pipelines
  • Experience with Unix/Linux
  • Azure or AWS experience
  • Experience with databases
  • RDBMS/SQL
  • Experience with data normalization

Desired Skills:
  • Experience with Big Data fundamentals
  • Machine learning libraries on Python (including unsupervised learning models)
  • Hadoop, Spark, Parquet
  • Experience with AWS
  • Experience with APIs
  • Experience with Java
  • Experience with streaming technologies
  • Kafka, Flink, Spark Streaming
  • Experience with NoSQL databases
  • Experience with monitoring tools
  • Knowledge of K8s/Docker
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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