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Remote Data Mining Jobs in Baltimore, MD (NOW HIRING)

Data Engineer

Columbia, MD · Remote

$100K - $120K/yr

Data Engineer Key Required Skills: Technical experience in information architecture, data architecture, data modeling, data governance, ETL design, data quality and BI-analytics. Position Description ...

Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

We are seeking a Data Engineer to support the development of cloud-native data solutions that improve operational efficiency, support regulatory reporting, and drive actionable insight for our ...

Data Engineer

Baltimore, MD · Remote

$116K - $139K/yr

Job Overview As a Data Engineer in this role, you will apply advanced data engineering principles to create reusable workflows that cover ingestion, quality assurance, transformation, and ...

Data Engineer

Columbia, MD · Remote

$100K - $120K/yr

Data Engineer Key Required Skills: Technical experience in information architecture, data architecture, data modeling, data governance, ETL design, data quality and BI-analytics. Position Description ...

Lead Data Engineer

Columbia, MD · On-site +1

$125K - $160K/yr

We are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, automation, and semantic layer capabilities within Google Cloud ...

Cleared Hybrid Data Engineer (5418)

Hanover, MD · On-site +1

$103K - $171K/yr

SMX is hiring a Data Engineer responsible for designing, building, and maintaining scalable data architecture that powers our AI, analytics and reporting. Collaborate closely with Analysts, AI ...

Showing results 41-60

Remote Data Mining information

See Baltimore, MD salary details

$45.7K

$164K

$241.9K

How much do remote data mining jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data mining in Baltimore, MD is $163,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,600.00 and $168,900.00 per year, depending on experience, location, and employer.

What is remote data mining?

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.

What skills and qualifications are needed for remote data mining?

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 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.

How do you become a remote data mining?

To become a remote data miner, you typically need a strong foundation in data analysis, statistics, and programming languages such as Python or R. Gaining experience with data mining tools, databases, and machine learning techniques, along with relevant certifications or degrees, can improve your chances of securing a remote position in this field.

What are the most commonly searched types of Data Mining jobs in Baltimore, MD?

The most popular types of Data Mining jobs in Baltimore, MD are:

What job categories do people searching Remote Data Mining jobs in Baltimore, MD look for?

The top searched job categories for Remote Data Mining jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Remote Data Mining jobs?

Cities near Baltimore, MD with the most Remote Data Mining job openings:

Infographic showing various Remote Data Mining job openings in Baltimore, MD as of August 2026, with employment types broken down into 5% Internship, 87% Full Time, and 8% Part Time. Highlights an 100% Remote job distribution, with an average salary of $163,968 per year, or $78.8 per hour.

Data Engineer

Techizee Inc

Columbia, MD • Remote

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Life

Re-posted 25 days ago


Job description

Position Title: Data Engineer

Key Required Skills: Technical experience in information architecture, data architecture, data modeling, data governance, ETL design, data quality and BI-analytics.

Position Description · Collaborate with Solution & Enterprise Architects, Business analysts, DBAs and others to understand business requirements. · Provide suggestions and guidance to different MI/BI projects, based on best practices, optimal solutions, and project standards will be expected. · Lead complex discussions and engagements that may involve multiple project teams from client.

Detailed Skills Requirements Basic Qualifications: · Bachelor's or master's degree in a training-related field of 4 to 8 years of experience. · Technical experience in information architecture, data architecture, data modeling, data governance, ETL design, data quality and BI-analytics. · Strong working experience with SQL and other databases (i.e., DB2 and Oracle) · Strong working experience with BI Development with Tableau and other BI tools · Strong working experience with ETL development Required Skills: · Strong oral and written communication skills and ability to communicate with all levels within the organization · Strong data analysis and problem-solving skills · Strong interpersonal skills with ability to collaborate with others effectively and efficiently · Ability to negotiate and compromise to convince internal and external parties to accept concepts, practices, and approaches of the area Desired Skills: · Database development skills · Familiarity with data modeling (Erwin data modeler) · Enterprise Data Catalog experience (Informatica)

Education · Master's degree and 2+ years of experience in a training-related field or bachelor's degree and 4 years of experience in a training-related field · Must be able to obtain a Public Trust