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Remote Big Data Jobs in Raleigh, NC (NOW HIRING)

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111.30K - $133.70K/yr

... scale data environment into Databricks. * This remote contract-to-hire position will be originated in Raleigh, NC. * SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100.50K - $174K/yr

Data is central to our mission. We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data ...

New

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100.50K - $174K/yr

Data is central to our mission. We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data ...

New

Aledade

Analyst-IMD Data Management

Raleigh, NC · On-site +1

$51K - $59.30K/yr

Interpret data to identify trends or discrepancies for leadership review * Support complex ... remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade, you ...

Eliassen Group

Data Engineer

Durham, NC · On-site +1

$60 - $65/hr

The role focuses on data analysis, data modeling, and ETL development using Python and SQL to support an enterprise data lake and downstream data marts. You will collaborate in an Agile team to ...

Eliassen Group

Data Engineer

Durham, NC · On-site +1

$60 - $65/hr

The role focuses on data analysis, data modeling, and ETL development using Python and SQL to support an enterprise data lake and downstream data marts. You will collaborate in an Agile team to ...

Lantern

Strategy Analyst

Raleigh, NC · Remote

Big problems require big ideas and a team that supports new ideas. * You care deeply for your ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

Lantern

Strategy Analyst

Durham, NC · Remote

Big problems require big ideas and a team that supports new ideas. * You care deeply for your ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

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$44.7K

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How much do remote big data jobs pay per year?

As of May 29, 2026, the average yearly pay for remote big data in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 per year, depending on experience, location, and employer.

What is a Remote Big Data job?

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 key skills and qualifications needed to thrive in the Remote Big Data position, and why are they important?

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 are some typical daily responsibilities for 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.
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Remote Big Data jobs near you
Sr. Data Engineer-Databricks SME (Remote)

Sr. Data Engineer-Databricks SME (Remote)

A.C. Coy

Raleigh, NC • Remote

$111.30K - $133.70K/yr

Contractor

Posted 20 days ago

Job description

  • Tier One Technologies is seeking a Data Engineer to support our US Government client with data ingestion, data deduplication and data tagging for migration of a large-scale data environment into Databricks.
  • This remote contract-to-hire position will be originated in Raleigh, NC.
  • SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.

  • Design, develop, and maintain scalable data ingestion pipelines to onboard structured, semi-structured, and unstructured data from batch and streaming sources (e.g., APIs, databases, flat files, message queues) into the Azure/Databricks environment.
  • Implement de-duplication strategies across large-scale datasets using deterministic and probabilistic matching techniques to ensure data integrity and reduce redundancy within the Data Lake.
  • Develop and enforce data tagging frameworks to classify, label, and annotate datasets with appropriate metadata (e.g., sensitivity, source, domain, lineage) to support data governance, discoverability, and compliance requirements.
  • Assist with Operationalizing deployments and support of Cloud services for ETL Operations. This will include standardizing and automating processes and workflows, creating documentation/knowledge articles, and overall assisting Operations staff who have limited experience in Cloud.
  • Written and oral presentations to high-level CIO management on status of current efforts.
  • Possesses skills and experience related to business management, systems engineering, operations research, and management engineering. Typically has specialization in a particular technology or business application. Keeps abreast of technological developments and industry trends.
  • Assist with deployment, configuration, and management of Azure Cloud environment.
  • Assist with migration efforts of existing ETL jobs into Azure/Databricks cloud environment.
  • Ability to share optimization and efficiencies with the larger team and management.
  • Ability to automate solutions to repetitive problems/tasks.

  • A degree from an accredited College/University in the applicable field of services is required. If the degree is not in the applicable field, then four additional years of related experience is required.
  • 13+ years of overall IT experience.
  • 5+ years demonstrated experience designing and implementing data ingestion pipelines using tools such as Azure Data Factory, Apache Kafka, Apache NiFi, Spark Structured Streaming, or equivalent technologies.
  • 5+ years of experience applying de-duplication techniques at scale, including record linkage, fuzzy matching, and entity resolution across structured and unstructured datasets.
  • 5+ years of hands-on experience with data tagging and metadata management, including the use of tagging schemas, data catalogs (e.g., Azure Purview, Apache Atlas), and automated classification tools to support data governance and lineage tracking.
  • 5+ years of demonstrated experience working with unstructured data.
  • 2+ years of experience in using Databricks or other Spark-based platforms.
  • Fluency in at least one scripting language (Python, Perl, Ruby, or equivalent).
  • Experience with one or more of the following products and technologies: SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning, Natural Language Processing, and visualization tools such as Tableau, Strategy and QLIK is a plus.
  • Integration of Git in continuous deployment and experience with DevOps monitoring tools is a plus.
  • Familiarity with Cloud Operations support in Azure is a plus.
  • Excellent communication skills.
  • Must be able to obtain a Position of Public Trust Clearance.
  • Must be a US Citizen or have US Permanent Residence status (Green Card).
  • Must have resided in the US for the last 5 years and not have traveled outside the US for a combined total of 6 months or more in last 5 years.
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About A.C. Coy Company- Staffing & Consulting Services

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Since 1986, our mission is to be the “Always on Target” staffing and consulting provider by helping people and companies achieve their hiring goals. The team is dedicated to achieving these goals by attracting and retaining top talent that meets our clients’ culture and environment. We are fully engaged with our people and companies through ongoing communication to ensure expectations are met.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Canonsburg, PA, US

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