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Remote Data Extraction Jobs in New Jersey (NOW HIRING)

CSAA

... extract actionable insights, shape data foundations, and foster a datadriven culture. Your Work ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Adidev Technologies

AI/ML

Hoboken, NJ · Remote

Conduct exploratory data analysis to extract valuable insights and influence strategic decisions ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

micro1 AI

Senior Database Reliability Engineer

Newark, NJ · Remote

$220K - $260K/yr

... a remote team. Preferred Qualifications: • Experience supporting data platforms, analytics workloads, ETL processes, and operational databases. • Familiarity with Infrastructure as Code ...

Axos Bank

Sr. Database Administrator

Edison, NJ · On-site +1

$120K - $145K/yr

San Diego, CA Irvine, CA Los Angeles, CA Centennial, CO Las Vegas, NV Remote or Hybrid is not ... Support ETL/ELT workflows and data transformations * Optimize data processing for performance and ...

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Remote Data Extraction information

What is remote data extraction?

Remote data extraction is the process of retrieving and collecting data from various sources—such as websites, databases, or documents—without being physically present at the source location. This is typically achieved using specialized software, scripts, or tools that can access and gather data over the internet or through remote connections. Professionals in this field often automate data collection tasks to save time and improve accuracy, especially when dealing with large volumes of information. Remote data extraction is commonly used for business intelligence, market research, competitive analysis, and data migration projects.

What are the key skills and qualifications needed to thrive as a remote data extraction specialist?

To thrive as a Remote Data Extraction Specialist, you need proficiency in data analysis, attention to detail, and experience with data extraction and transformation techniques, often supported by a degree in computer science, information systems, or a related field. Familiarity with tools such as SQL, Python, web scraping frameworks (like BeautifulSoup or Scrapy), and data management platforms is typically required. Strong problem-solving skills, self-motivation, and effective communication are valuable soft skills for excelling in a remote environment. These abilities ensure accurate data collection, efficient workflow, and reliable delivery of insights for business or research needs.

What are some common challenges faced in a remote data extraction role and how can they be addressed?

One common challenge in remote data extraction is ensuring data accuracy while working independently, especially when dealing with large and diverse datasets. Discrepancies can arise from inconsistent data formats or sources, so developing strong attention to detail and utilizing reliable extraction tools is critical. Another challenge is communication, as collaborating with data analysts or project managers remotely requires proactive updates and clear documentation. To address these issues, it's helpful to establish regular check-ins with your team, use standardized data templates, and stay organized with project management software.

What is the difference between Remote Data Extraction vs Remote Data Entry?

AspectRemote Data ExtractionRemote Data Entry
Primary FocusExtracting data from various sources like websites, PDFs, or imagesInputting data into databases or spreadsheets
Skills RequiredWeb scraping, data analysis, attention to detailTyping speed, accuracy, basic computer skills
Tools UsedWeb scraping software, OCR tools, data management platformsExcel, Google Sheets, data entry software
Work EnvironmentMostly independent, often project-basedConsistent, repetitive tasks

Remote Data Extraction involves retrieving data from various sources, requiring technical skills like web scraping and data analysis. Remote Data Entry focuses on inputting data accurately into systems, emphasizing speed and precision. Both roles are remote-friendly but differ in technical complexity and daily tasks.

What are the most commonly searched types of Data Extraction jobs in New Jersey?

The most popular types of Data Extraction jobs in New Jersey are:

What are popular job titles related to Remote Data Extraction jobs in New Jersey?

For Remote Data Extraction jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Remote Data Extraction jobs in New Jersey look for?

The top searched job categories for Remote Data Extraction jobs in New Jersey are:

What cities in New Jersey are hiring for Remote Data Extraction jobs?

Cities in New Jersey with the most Remote Data Extraction job openings:

Remote Data Extraction jobs near you

Databricks Engineer / Architect

Celersoft

Jersey City, NJ • Remote

Contractor

Posted 3 days ago

New

Job description

Position: Databricks Engineer / Architect
Employment Type: Contractual
Work Arrangement: Remote
Experience: 10+ years overall, with 4+ years of hands-on Databricks experience
Location: Remote
About the Role
We are seeking an experienced Databricks Engineer / Architect to design, develop, and optimize modern data platforms and large-scale data engineering solutions using Databricks and cloud technologies.
The ideal candidate will have strong hands-on expertise in Databricks, Apache Spark, Python/SQL, Delta Lake, data architecture, ETL/ELT pipelines, and cloud platforms. This role requires someone who can operate at both the engineering and architecture levels—translating business requirements into scalable, secure, and high-performance data solutions.
Key Responsibilities
Design and architect scalable, reliable, and high-performance data platforms using Databricks.
Develop and optimize data pipelines using PySpark, Python, SQL, Spark, and Delta Lake.
Design modern Lakehouse architectures and implement enterprise-grade data solutions.
Develop batch and streaming data pipelines and integrate data from multiple sources.
Implement Delta Lake capabilities including schema evolution, partitioning, optimization, and data lifecycle management.
Work with Databricks Workflows, Jobs, notebooks, clusters, and related platform capabilities.
Design and implement data ingestion, transformation, and orchestration frameworks.
Optimize Spark workloads, Databricks clusters, SQL queries, and data pipelines for performance and cost.
Establish and implement data engineering best practices, coding standards, CI/CD, and deployment processes.
Implement appropriate security, governance, access controls, and data quality mechanisms.
Collaborate with data scientists, analysts, application teams, cloud engineers, and business stakeholders.
Provide technical leadership and mentorship to data engineering teams.
Evaluate existing data architectures and recommend improvements, modernization strategies, and technology adoption.
Troubleshoot complex production issues and provide root-cause analysis and long-term solutions.
Participate in architecture reviews, technical design sessions, and documentation of enterprise data solutions.
Required Technical Skills
Databricks & Data Engineering
Strong hands-on experience with Databricks
Advanced knowledge of Apache Spark / PySpark
Strong proficiency in Python and SQL
Extensive experience with Delta Lake
Experience designing and implementing scalable ETL/ELT pipelines
Strong understanding of Lakehouse architecture and modern data platforms
Experience with batch and real-time/streaming data processing
Cloud Technologies
Strong experience with at least one major cloud platform:
Microsoft Azure - Azure Data Lake Storage, Azure Data Factory, Azure Synapse, Azure Key Vault, Azure DevOps
AWS - S3, Glue, Lambda, IAM, Redshift, CloudWatch
GCP - Cloud Storage, BigQuery, Dataflow, Pub/Sub, IAM
Preferred Qualifications
Databricks certifications such as Databricks Certified Data Engineer or Databricks Certified Data Engineer Professional
Experience with Unity Catalog and Databricks governance capabilities
Experience implementing enterprise Medallion Architecture (Bronze/Silver/Gold)
Experience with structured streaming and event-driven architectures
Knowledge of data modeling and dimensional modeling
Experience with Kafka or other messaging/streaming platforms
Experience with data quality frameworks and observability
Familiarity with MLOps and integration with machine learning platforms
Strong communication, documentation, and stakeholder-management skills
Education
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
Equivalent professional experience may be considered.
What We’re Looking For
The successful candidate should be:
A strong hands-on Databricks Engineer who can also think at the architecture level.
Comfortable working independently in a fully remote environment.
Capable of translating complex business requirements into scalable technical solutions.
Strong in problem-solving, troubleshooting, and performance optimization.
An effective communicator who can work with both technical and non-technical stakeholders.
Comfortable providing technical leadership and driving architecture decisions.