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

First Citizens Bank

Lead Data Engineer

Raleigh, NC · On-site +1

$129K - $190K/yr

Overview This is a remote role that may only be hired in the following locations: NC, CA We are seeking an experienced Lead Data Engineer to design, build, and support scalable enterprise data ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus. * Bachelor Degree in ...

Wake County Public School System

Data Analyst

Cary, NC · On-site +1

Overview POSITION TITLE (Oracle title) DATA ANALYST WORKING TITLE Data Analyst-Office of Early Learning (OEL) SCHOOL/DEPARTMENT Office of Early Learning (OEL) LOCATION Crossroads II, Cary, NC PAY ...

Advance Auto Parts

Data Scientist

Raleigh, NC · On-site +1

Role Summary We are seeking an experienced Data Scientist with strong expertise in Data Science, machine learning engineering with hands on experience in designing and deploying ML solutions in ...

Focused HR Solutions

Azure Data Engineer 1-20-

Raleigh, NC · Remote

$117K - $140K/yr

Our direct client has an opening for a Azure Data Engineer position # 730992. This position is for 4+ months, with option of extension, and will be worked 100% on-site in Raleigh, NC. If you are ...

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All JobsData Mining JobsRemote Data Mining JobsRemote Data Mining Jobs in Raleigh, NC

Remote Data Mining information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do remote data mining jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote data mining 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 careers use data mining?

Data mining is used in various careers such as data analyst, data scientist, business intelligence analyst, and market researcher. These roles involve analyzing large datasets to extract insights, often using tools like SQL, Python, or R, and require strong analytical skills and knowledge of data management.

What is a Remote Data Mining job?

A Remote Data Mining job involves extracting, processing, and analyzing large datasets to uncover patterns, trends, and insights—all while working from a remote location. Professionals in this field use statistical methods, machine learning techniques, and specialized software to transform raw data into actionable insights. These roles are common in industries like finance, marketing, healthcare, and e-commerce, where data-driven decision-making is essential. Remote data miners typically collaborate with teams via digital communication tools and may need proficiency in programming languages like Python or R.

Is 40 too late for data science?

Age is not a barrier to becoming a remote data mining or data science professional. Many individuals successfully transition into data roles later in life by acquiring relevant skills such as programming, statistics, and tools like Python or SQL, often through online courses or certifications. Employers value experience and skills over age, making it possible to start or switch careers at 40 or older.

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

To thrive as a Remote Data Mining professional, you need strong analytical abilities, statistical knowledge, proficiency in programming languages such as Python or R, and a background in computer science, data science, or a related field. Expertise in data mining tools like SQL, RapidMiner, or Weka and familiarity with data visualization platforms are highly valued, and certifications in data analytics can be advantageous. Attention to detail, problem-solving skills, and effective communication are important soft skills for collaborating remotely and presenting insights to stakeholders. These skills enable you to extract valuable patterns and insights from large datasets while working independently and aligning with organizational goals.

What are some common challenges faced by remote data mining professionals, and how can they be addressed?

Remote data mining professionals often encounter challenges such as managing large and complex datasets, ensuring data privacy, and maintaining effective communication with distributed teams. Addressing these challenges typically involves leveraging secure cloud storage solutions, utilizing robust data analysis tools, and adopting clear documentation and regular virtual meetings to stay aligned on project goals. Additionally, building strong time management habits and being proactive in seeking feedback from team members can help remote data miners stay productive and engaged. Most organizations provide access to collaboration platforms and training to help overcome these obstacles, ensuring a supportive and efficient remote work environment.

Can I get a remote data entry job?

Remote data mining jobs are available and often involve collecting, processing, and analyzing large datasets from home. These roles typically require skills in data management tools, attention to detail, and sometimes basic knowledge of databases or programming. Many companies offer flexible schedules for such positions, which can be suitable for remote work seekers.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and data analysis tools. It offers opportunities in various industries such as technology, finance, and healthcare, with demand for professionals who can interpret data and support decision-making. The role typically involves continuous learning and proficiency with software like SQL, Python, or R.
What are the most commonly searched types of Data Mining jobs in Raleigh, NC? The most popular types of Data Mining jobs in Raleigh, NC are:
What are popular job titles related to Remote Data Mining jobs in Raleigh, NC? For Remote Data Mining jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Data Mining jobs in Raleigh, NC look for? The top searched job categories for Remote Data Mining jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Data Mining jobs? Cities near Raleigh, NC with the most Remote Data Mining job openings:
Remote Data Mining jobs near you
Infographic showing various Remote Data Mining job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $160,411 per year, or $77.1 per hour.
Lead Data Engineer

Lead Data Engineer

First Citizens Bank

Raleigh, NC • On-site, Remote

$129K - $190K/yr

Full-time

Posted 5 days ago

First Citizens Bank rating

7.5

Company rating: 7.5 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

92nd of 149 rated banks

Job description

Overview

This is a remote role that may only be hired in the following locations: NC, CA

We are seeking an experienced Lead Data Engineer to design, build, and support scalable enterprise data solutions across AWS and Snowflake platforms. The ideal candidate will have expertise in cloud data engineering, data warehousing, Snowflake, dbt, Python, and ETL/ELT technologies, with proven experience leading teams and driving data modernization initiatives.


Responsibilities
  • Lead the design, development, and delivery of scalable data engineering solutions.
  • Build, optimize, and support data ingestion, transformation, and data warehouse pipelines using AWS, Snowflake, dbt, and Python.
  • Design and implement enterprise ETL/ELT frameworks, data models, data quality controls, reconciliation processes, and governance standards.
  • Collaborate with business and technology stakeholders to deliver trusted data products and analytics solutions.
  • Drive modernization of legacy data platforms and ETL workloads into cloud-native architectures.
  • Ensure operational excellence through performance optimization, CI/CD, testing, documentation, and production support.
  • Provide technical leadership, mentorship, and best-practice guidance across engineering teams.
  • Leverage AI-powered solutions and enterprise-approved AI tools to automate engineering tasks, improve productivity, accelerate data delivery, and reduce time-to-market.

Qualifications

Bachelor's Degree and 6 years of experience in Software application development and maintenance OR High School Diploma or GED and 10 years of experience in Software application development and maintenance

  • 10+ years of hands-on Data Engineering experience delivering enterprise-scale data solutions.
  • 5+ years of experience with AWS data services and cloud platforms, including S3, Glue, Lambda, IAM, Step Functions, and related services.
  • 3+ years of hands-on experience with Snowflake and dbt, including data modeling, ELT development, performance tuning, testing, deployment, and operational support.
  • Strong proficiency in SQL (7+ years) and Python (5+ years), with experience developing scalable data pipelines, automation frameworks, data validation processes, and performance optimization.
  • Hands-on experience with workflow orchestration tools such as Apache Airflow or Astronomer for scheduling, monitoring, and managing enterprise data pipelines.
  • Experience with enterprise ETL/ELT tools such as Informatica, DataStage, SAP BODS, SSIS, or equivalent technologies, along with strong knowledge of data warehousing, dimensional modeling, data governance, and CI/CD practices.
  • Practical experience using AI-powered productivity tools (e.g., GitHub Copilot, ChatGPT, Claude, Amazon Q) to improve engineering efficiency, code quality, documentation, testing, and delivery.

Preferred Qualifications

  • Experience modernizing legacy ETL platforms such as Informatica, DataStage, SAP BODS, or SSIS into Snowflake and dbt-based cloud data architectures.
  • Experience with Snowflake Cortex, CDC, streaming, and real-time ingestion technologies including Kafka, Kinesis, Qlik Replicate, and Snowpipe Streaming.
  • Experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to enterprise security, governance, and compliance frameworks.
  • Familiarity with Tableau or Power BI for reporting, visualization, and analytics.
  • Experience working within Financial Services, Banking, or other highly regulated industries with strong governance, security, compliance, audit, and change management requirements.
  • Relevant certifications such as SnowPro, AWS Certified Solutions Architect – Professional, AWS Certified Data Engineer, or other AWS/Snowflake cloud data platform certifications.

Soft Skills

  • Strong communication and stakeholder management skills.
  • Proven leadership and mentoring capabilities.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Ability to work independently and manage multiple priorities.
  • Strong ownership mindset with a focus on quality and delivery.
  • Effective collaboration across cross-functional teams and business stakeholders.

If hired in CA, the base pay for this position is generally between $129,000 and $190,000. Actual starting base pay will be determined based on skills, experience, location, and other non-discriminatory factors permitted by law. For some roles, total compensation may also include variable incentives, bonuses, benefits, and/or other awards as outlined in the offer of employment.

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 6 years of experience in Software application development and maintenance OR High School Diploma or GED and 10 years of experience in Software application development and maintenance

  • 10+ years of hands-on Data Engineering experience delivering enterprise-scale data solutions.
  • 5+ years of experience with AWS data services and cloud platforms, including S3, Glue, Lambda, IAM, Step Functions, and related services.
  • 3+ years of hands-on experience with Snowflake and dbt, including data modeling, ELT development, performance tuning, testing, deployment, and operational support.
  • Strong proficiency in SQL (7+ years) and Python (5+ years), with experience developing scalable data pipelines, automation frameworks, data validation processes, and performance optimization.
  • Hands-on experience with workflow orchestration tools such as Apache Airflow or Astronomer for scheduling, monitoring, and managing enterprise data pipelines.
  • Experience with enterprise ETL/ELT tools such as Informatica, DataStage, SAP BODS, SSIS, or equivalent technologies, along with strong knowledge of data warehousing, dimensional modeling, data governance, and CI/CD practices.
  • Practical experience using AI-powered productivity tools (e.g., GitHub Copilot, ChatGPT, Claude, Amazon Q) to improve engineering efficiency, code quality, documentation, testing, and delivery.

Preferred Qualifications

  • Experience modernizing legacy ETL platforms such as Informatica, DataStage, SAP BODS, or SSIS into Snowflake and dbt-based cloud data architectures.
  • Experience with Snowflake Cortex, CDC, streaming, and real-time ingestion technologies including Kafka, Kinesis, Qlik Replicate, and Snowpipe Streaming.
  • Experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to enterprise security, governance, and compliance frameworks.
  • Familiarity with Tableau or Power BI for reporting, visualization, and analytics.
  • Experience working within Financial Services, Banking, or other highly regulated industries with strong governance, security, compliance, audit, and change management requirements.
  • Relevant certifications such as SnowPro, AWS Certified Solutions Architect – Professional, AWS Certified Data Engineer, or other AWS/Snowflake cloud data platform certifications.

Soft Skills

  • Strong communication and stakeholder management skills.
  • Proven leadership and mentoring capabilities.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Ability to work independently and manage multiple priorities.
  • Strong ownership mindset with a focus on quality and delivery.
  • Effective collaboration across cross-functional teams and business stakeholders.

If hired in CA, the base pay for this position is generally between $129,000 and $190,000. Actual starting base pay will be determined based on skills, experience, location, and other non-discriminatory factors permitted by law. For some roles, total compensation may also include variable incentives, bonuses, benefits, and/or other awards as outlined in the offer of employment.

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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