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Remote Data Optimization Jobs in Sicklerville, NJ

Dlapiper

Data Scientist

Philadelphia, PA · On-site +1

Mines and analyzes data to drive optimization and improvement of product development, marketing ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Soni Resources

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Remote (Preference for Northeast/Mid-Atlantic; monthly travel to Plymouth Meeting, PA as needed ... Explore innovative approaches to automation, decision support, and workflow optimization through ...

USM

JB061757 - HEDIS Data Analyst (SQL)

Philadelphia, PA · On-site +1

Philadelphia ,PA - Hybrid - 3 Days a week in the office/ Remote Duration: Long-Term Contract Job ... Strong hands-on experience writing and optimizing SQL queries. * Experience analyzing large health ...

DIGITAL ELEMENTS LLC

SEM Support Analyst

Aston, PA · Remote

$50K - $60K/yr

... optimization support. This role is ideal for someone early-to-mid in their paid search career who ... Flag underperforming campaigns or sudden data changes for escalation. Reporting & Analysis

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How much do remote data optimization jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for remote data optimization in Sicklerville, NJ is $55.56, according to ZipRecruiter salary data. Most workers in this role earn between $45.62 and $65.82 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 are the key skills and qualifications needed to thrive as a remote data optimization specialist?

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 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.

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 remote data optimization jobs?

Remote data optimization jobs involve analyzing and improving the efficiency, accuracy, and accessibility of data within an organization. These roles often require skills in data management, database tools, and programming languages like SQL or Python, and may involve tasks such as data cleaning, structuring, and implementing data storage solutions from a remote work environment.

What are popular job titles related to Remote Data Optimization jobs in Sicklerville, NJ?

For Remote Data Optimization jobs in Sicklerville, NJ, the most frequently searched job titles are:

What cities near Sicklerville, NJ are hiring for Remote Data Optimization jobs?

Cities near Sicklerville, NJ with the most Remote Data Optimization job openings:

Remote Data Optimization jobs near you
Infographic showing various Remote Data Optimization job openings in Sicklerville, NJ as of August 2026, with employment types broken down into 10% Internship, 80% Full Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $115,556 per year, or $55.6 per hour.

Data Architect- Payer (Healthcare) || Fulltime || Remote

Smart IT Frame

Philadelphia, PA • Remote

$65.25 - $84/hr

Full-time

Re-posted 6 days ago

Job description

 
Role: - Data Architect- Payer (Healthcare)
 
Location: - Philadelphia PA/ Remote 
 
Fulltime 
 

Job Description: -

·       Overall 14+ years of Azure & Data Engineering experience

·       Design and develop cloud-native applications and services using modern architecture patterns.

·       Collaborate with product managers, developers, and other stakeholders to define application requirements and specifications.

·       Strong hands-on experience in Database design, ETL with primary skills on Azure Databricks - Build data Pipelines using ADB - leveraging Python and PySpark, ADF: Azure Data Factory, Azure Data Lake Gen 2, Synapse Analytics.

·       Good experience and knowledge in scripting languages such as Python, PySpark, Spark SQL or Shell Scripting, etc.

·       In-depth understanding of various storage services offered by Azure and TIDAL Scheduler.

·       Experience with implementation of data security, encryption, PII/PSI legislation, identity and access management across sources and environments.

·       Experience with data process Orchestration, end-to-end design and build process of Near-Real Time and Batch Data Pipelines.

·       Minimum 3 years of real project experience.

·       Manage/Mentor tech team members.

·       Evaluate and recommend cloud technologies and tools to enhance application performance and reliability.

·       Lead the migration of existing applications to cloud environments, ensuring minimal disruption and optimal performance.

·       Implement best practices for cloud security, compliance, and governance.

·       Monitor and optimize application performance, scalability, and cost-efficiency in cloud environments.

·       Provide technical leadership and mentorship to development teams, fostering a culture of innovation and continuous improvement.

·       Stay current with emerging cloud technologies and trends, and assess their potential impact on our architecture and applications.

·       Provide Technical Assistance, Problem Resolution and Troubleshooting Support.

·       Document architectural designs, standards, and guidelines for cloud application development.

·       Good understanding of the functional domain especially Healthcare domain and Tidal Scheduler.

·       Good understanding of the SDLC and Agile methodologies.

·       Good communication and soft skills.

Qualifications:

·       Bachelor’s degree in computer science, Information Technology, or a related field; Master’s degree preferred.

·       Proven experience as a Cloud Application Architect or in a similar role, with a strong portfolio of successful cloud projects.

·       In-depth knowledge of cloud platforms (AWS, Azure, Google Cloud) and their services.

·       Proficiency in programming languages such as Java, Python, or C# and experience with microservices architecture.

·       Familiarity with containerization technologies (Docker, Kubernetes) and serverless computing.

·       Strong understanding of cloud security best practices and compliance requirements.

·       Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.

·       Strong communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

·       Relevant cloud certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert).

·       Experience with DevOps practices and CI/CD pipelines.

·       Knowledge of database technologies (SQL, NoSQL) and data architecture principles.