2

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

Data Engineer II

Baltimore, MD ยท Remote

$113K - $136K/yr

Remote first work environment * Collaborative, cross-functional technology team * Fast-paced ... Building and Optimizing Data Solutions * Design, develop, and maintain scalable data pipelines and ...

Data Engineer II

Baltimore, MD ยท Remote

$113K - $136K/yr

Remote first work environment * Collaborative, cross-functional technology team * Fast-paced ... Building and Optimizing Data Solutions * Design, develop, and maintain scalable data pipelines and ...

Data Engineer II

Columbia, MD ยท On-site +1

$93K - $100K/yr

Experience designing, implementing, and optimizing Retrieval-Augmented Generation (RAG) solutions ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

Experience designing, implementing, and optimizing Retrieval-Augmented Generation (RAG) solutions ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

Sr. Data Analytics Engineer

Baltimore, MD ยท On-site +1

$125K - $165K/yr

Build high-quality analytical datasets and visualization-optimized data structures. Quality, CI/CD ... REMOTE #HYBRID Relocation * No relocation provided Base Compensation $125,000.00-$165,000.00 USD ...

Sr. Data Analytics Engineer

Baltimore, MD ยท On-site +1

$125K - $165K/yr

Build high-quality analytical datasets and visualization-optimized data structures. Quality, CI/CD ... REMOTE #HYBRID Relocation * No relocation provided Base Compensation $125,000.00-$165,000.00 USD ...

next page

Showing results 1-20

Remote Data Optimization information

See Baltimore, MD salary details

$16

$56

$80

How much do remote data optimization jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for remote data optimization in Baltimore, MD is $56.45, according to ZipRecruiter salary data. Most workers in this role earn between $46.35 and $66.88 per hour, depending on experience, location, and employer.

What is a Remote Data Optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What is a data optimization job example?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and accuracy. For example, optimizing database queries or cleaning large datasets using tools like SQL or Python helps organizations make better data-driven decisions.

What is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and experience.

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

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available across various industries. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often involve working with cloud-based platforms or collaboration tools. Many companies offer remote work options for data analysts, especially with experience in data visualization and reporting.

Is 40 too late for data science?

Remote Data Optimization roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help, and continuous education or certifications can improve job prospects regardless of age.

What are the key skills and qualifications needed to thrive as a Remote Data Optimization Specialist, and why are they important?

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

What is the difference between Remote Data Optimization vs Remote Data Analyst?

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are the most commonly searched types of Data Optimization jobs in Baltimore, MD? The most popular types of Data Optimization jobs in Baltimore, MD are:
What are popular job titles related to Remote Data Optimization jobs in Baltimore, MD? For Remote Data Optimization jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Remote Data Optimization jobs in Baltimore, MD look for? The top searched job categories for Remote Data Optimization jobs in Baltimore, MD are:
Infographic showing various Remote Data Optimization job openings in Baltimore, MD as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% Remote job distribution, with an average salary of $117,419 per year, or $56.5 per hour.
Sr. Data Platform Engineer

Sr. Data Platform Engineer

Real Time Medical Systems

Linthicum Heights, MD โ€ข Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 12 days ago


Job description

Sr. Data Platform Engineer

This is a fully remote role.

Job purpose summary
Real Timeโ€™s suite of Interventional Analytics solutions enables post-acute facilities to seamlessly collaborate with their partner hospitals, health systems, ACOs, and managed care plans to improve care, reduce costs, and achieve a level of interoperability.
Real Time is seeking a Senior Data Platform Engineer with deep hands-on experience across AWS, Terraform, Python, PySpark, SQL Server, PostgreSQL, and C#. This role will focus on designing and optimizing cloud-native data solutions, driving performance and cost efficiency, and enabling large-scale migrations from legacy SQL Server systems to modern PostgreSQL-based architectures.
The ideal candidate thrives in independent, dynamic environments, is comfortable shifting between multiple projects, and can balance long-term architecture with short-term deliverables.
Duties and responsibilities

  • Design, build, and optimize data pipelines (batch and streaming) using PySpark, Python, and SQL
  • Lead and support SQL Server โ†’ PostgreSQL migration efforts, including schema translation, performance tuning, and data validation
  • Implement and maintain Terraform infrastructure for AWS services (S3, Glue, Lambda, EMR, Redshift, DMS, etc.)
  • Conduct performance and cost optimization reviews of AWS workloads, recommending and implementing improvements
  • Develop frameworks for data quality, monitoring, and reconciliation
  • Collaborate with business stakeholders and other engineers to translate requirements into scalable solutions
  • Apply software engineering best practices (version control, CI/CD, testing, code reviews) to data engineering workflows
  • Contribute to standards, best practices, and technical mentorship across the team
  • Participate in a rotating on-call schedule to provide production support, ensuring reliability of data platforms with minimal disruption to business operations

Additional Duties and Responsibilities
  • Maintain regular and punctual attendance.
  • Any other assigned tasks
  • Comply with all company policies and procedures.
Qualifications
  • 5+ years of professional experience in data engineering or software engineering roles
  • Advanced skills with Python and PySpark for large-scale data processing
  • Strong SQL development experience, including query tuning and ETL/ELT design
  • Hands-on experience with AWS data services (S3, Glue, EMR, Lambda, DDB, DMS, CloudWatch, IAM, VPC)
  • Experience with Terraform/Terragrunt (or equivalent IaC) for AWS infrastructure automation
  • Familiarity with SQL Server and PostgreSQL, including database optimization and migration patterns
  • Working knowledge of C# for application/data integrations
  • Strong grasp of data modeling, architecture, and governance best practices
  • Excellent problem-solving skills, ability to self-manage, and comfort working in environments with changing priorities
  • Bachelorโ€™s degree required
  • Excellent verbal, written and presentation skills.
  • Ability to thrive in a fast paced, deadline driven environment.
  • AWS certification (Solutions Architect, Data Analytics, or DevOps) a plus
  • Data visualization experience with Tableau, PowerBI, MicroStrategy, etc. also a plus
  • Experience working in the healthcare industry a plus
  • You must love what you do! You will be working with other talented and passionate individuals who enjoy working and solving problems together!

Additional Qualifications
  • Independent contributor who can also collaborate effectively in a remote environment
  • Strong communication skills, both technical and business-oriented
  • Comfortable balancing multiple priorities without losing quality
  • Reliability and responsiveness when participating in the on-call rotation, with a proactive and calm approach to production issues
  • Positive, solution-oriented mindset - able to tackle tasks with optimism

Working conditions
Position requires minimal amount of travel.
Remote/Work from anywhere work environment within the United States.
Physical requirements
Remaining in a stationary position, often sitting for prolonged periods.
Direct reports
None

Why you'll love it here:

  • Youโ€™ll be part of a team that helps save lives every day, and improves the lives of 100,000s of people!
  • Competitive base salary
  • Work from home
  • Ongoing training and coaching for career development
  • Comprehensive medical, dental and vision coverage with significant company contribution
  • Disability insurance
  • 401(k) retirement savings program

Powered by JazzHR

poLFIFxH7G