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Remote Database Developer Jobs in Windber, PA (NOW HIRING)

Remote Database Developer information

See Windber, PA salary details

$23

$47

$71

How much do remote database developer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for remote database developer in Windber, PA is $47.10, according to ZipRecruiter salary data. Most workers in this role earn between $38.56 and $53.27 per hour, depending on experience, location, and employer.

What Does a Remote Database Developer Do?

A database developer or programmer creates and implements computer databases that store and maintain an entity’s data information. You work with clients to identify the best database management software and test the application or program for performance and efficiency. Your responsibilities include designing information systems to meet the needs of the client, testing product performance, performing data analysis, and developing documentation from your analysis. In some cases, you may also train or teach other developers or client teams. As a remote developer, you may complete your duties on your own or as part of a remote team for a corporate client or employer.

What are the key skills and qualifications needed to thrive as a Remote Database Developer, and why are they important?

To thrive as a Remote Database Developer, you need strong expertise in database design, SQL programming, and data modeling, usually supported by a degree in computer science or a related field. Familiarity with database management systems like MySQL, PostgreSQL, or Microsoft SQL Server, and certifications such as Microsoft Certified: Azure Database Administrator Associate, are highly valuable. Excellent problem-solving, communication, and self-management skills help you collaborate effectively and deliver solutions in a remote environment. These skills ensure secure, efficient, and reliable database solutions that meet organizational needs while supporting independent work and remote teamwork.

What is the difference between Remote Database Developer vs Remote Data Analyst?

AspectRemote Database DeveloperRemote Data Analyst
Required CredentialsBachelor's in Computer Science or related field, SQL certificationsBachelor's in Statistics, Data Science, or related field, SQL and data analysis certifications
Work EnvironmentDeveloping, maintaining, and optimizing databases remotelyAnalyzing data sets, creating reports, and providing insights remotely
Employer & Industry UsageTech companies, finance, healthcare, e-commerce

Remote Database Developers focus on designing and managing databases, requiring technical skills and certifications. Remote Data Analysts interpret data to support business decisions. While both roles often work remotely and require SQL knowledge, their core responsibilities differ: development vs analysis.

What is a Remote Database Developer?

A Remote Database Developer is a technology professional who designs, creates, and maintains database systems while working from a remote location, rather than in a traditional office setting. Their responsibilities include developing database structures, optimizing queries, ensuring data integrity, and implementing security measures. They often collaborate with software developers and IT teams to ensure databases are efficient and meet organizational requirements. Remote work allows them to perform these tasks using cloud-based tools and secure connections, providing flexibility for both employers and employees.

What are some common challenges faced by remote database developers, and how can they be addressed?

Remote database developers often encounter challenges such as coordinating with distributed teams, managing secure access to sensitive data, and troubleshooting issues without on-site support. To overcome these, it's important to establish clear communication channels, use secure VPNs and authentication protocols, and leverage collaborative tools like version control and ticketing systems. Regular check-ins and thorough documentation also help ensure everyone stays aligned and project progress remains smooth.
What cities near Windber, PA are hiring for Remote Database Developer jobs? Cities near Windber, PA with the most Remote Database Developer job openings:
Senior Data Science Engineer/Specialist (Remote)

Senior Data Science Engineer/Specialist (Remote)

Concurrent Technologies Corporation

Johnstown, PA • Remote

$108K - $147K/yr

Full-time

Posted 23 days ago


Job description

Senior Data Science Engineer/Specialist

Concurrent Technologies Corporation

Remote

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Secret

Employee Background Check Required


CTC Engineering and Manufacturing: Where Cutting-Edge Innovation Meets Mission-Critical Solutions


The CTC Engineering Division specializes in transforming cutting-edge technologies into real-world solutions. We harness the power of 3D printing, advanced joining techniques like friction stir welding, and cutting-edge design tools to tackle complex challenges for a diverse set of clients.

As a Senior Data Science Engineer/Specialist, you will serve as a technical leader, applying advanced data science and mathematical techniques to solve complex and mission-critical challenges for Department of Defense (DoD) clients. You will lead projects, mentor junior staff, and drive the development of innovative solutions that enhance decision-making and operational efficiency. This role requires a high degree of technical expertise, strategic thinking, and the ability to work independently while managing multiple priorities.

Key Responsibilities:

Technical Leadership and Project Management:

  • Lead the planning, execution, and delivery of complex data science and mathematics projects, ensuring alignment with client objectives and timelines.
  • Provide technical leadership and mentorship to junior and mid-level team members, fostering their professional growth.
  • Collaborate with stakeholders to define project requirements, scope, and deliverables.
  • Identify risks, develop mitigation strategies, and ensure the successful completion of projects.

Advanced Data Analysis and Modeling:

  • Design and implement advanced statistical, predictive, and machine learning models to address complex client challenges.
  • Perform sophisticated exploratory data analysis (EDA) to identify actionable insights and inform decision-making.
  • Develop and refine mathematical models for simulation, optimization, and forecasting tasks.

Algorithm Development and Innovation:

  • Lead the design, development, and optimization of algorithms for data processing, analysis, and modeling.
  • Validate and deploy algorithms in operational environments, ensuring scalability and reliability.
  • Drive innovation by researching and applying cutting-edge techniques in data science, artificial intelligence, and mathematics.

Tool and Technology Utilization:

  • Utilize advanced programming skills in Python, R, MATLAB, or similar languages to develop custom solutions.
  • Leverage data visualization tools (e.g., Tableau, Power BI, matplotlib) to create compelling and actionable insights.
  • Integrate data science workflows into enterprise systems and processes to enhance operational efficiency.

Collaboration and Communication:

  • Serve as a primary point of contact for clients, providing regular updates and ensuring satisfaction with deliverables.
  • Prepare and deliver high-quality technical reports, presentations, and documentation for diverse audiences, including senior leadership.
  • Facilitate cross-functional collaboration with multidisciplinary teams to achieve project goals.

Research and Development:

  • Lead research initiatives to explore emerging data science techniques, tools, and technologies.
  • Develop innovative methodologies and frameworks to address evolving client needs.
  • Publish findings and contribute to the broader data science and mathematics community.

Support for DoD Projects:

  • Provide expert analysis and recommendations to support DoD mission objectives and strategic decision-making.
  • Develop and implement advanced tools, processes, and methodologies to improve operational capabilities for DoD clients.
  • Ensure all deliverables comply with DoD standards, policies, and security requirements.

Concurrent Technologies Corporation (CTC) is preparing to stand up a dedicated team to manage a new, high-priority initiative for the U.S. Navy. This is a unique opportunity to help revitalize and strengthen a critical national security industrial base. As the manager of a large portfolio of innovative projects under a flexible contracting vehicle, CTC will be at the center of this mission. Our role will be to connect cutting-edge solutions from across industry and academia to the Navy's most pressing challenges, accelerating technology adoption and ensuring our nation's defense industrial base has the capacity and capability for decades to come. This is a fast-paced, dynamic program where you will play a foundational role in its success. We are seeking talented professionals to join us in this exciting and impactful work.

As a Senior Data Science Engineer, you will transform vast streams of project data into actionable intelligence and strategic insights for government leadership. You will develop the dashboards, analytics, and reports that provide radical transparency into the performance and impact of this national security program.

Required Qualifications:

  • Bachelor's degree in Data Science, Mathematics, Computer Science, Engineering, or a related field.
  • 4+ years of relevant experience in data science, mathematics, or related fields.
  • Advanced proficiency in programming languages such as Python, R, MATLAB, or similar.
  • Strong expertise in statistical methods, machine learning techniques, and mathematical modeling.
  • Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib) and data engineering concepts.
  • Proven ability to lead projects, manage teams, and deliver high-quality results.
  • Excellent analytical, problem-solving, and critical-thinking skills.
  • Strong written and verbal communication skills, with experience presenting to technical and non-technical audiences.

Preferred Qualifications:

  • Master's or Ph.D. in Data Science, Mathematics, Computer Science, Engineering, or a related field.
  • Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Advanced knowledge of database systems (e.g., SQL, NoSQL) and cloud computing platforms (e.g., AWS, Azure, Google Cloud).
  • Experience working in DoD or government contracting environments, with a strong understanding of DoD standards and policies.
  • Demonstrated ability to develop and implement innovative solutions to complex technical challenges.
  • Experience with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.

Work Environment/Conditions:

  • Determined by management if applicable.

Why CTC?

  • Mastering the future of manufacturing: Be at the forefront of technological advancements in advanced manufacturing.
  • Innovate for impact: Your work will push the boundaries of what's possible, from next-generation armaments to groundbreaking environmental solutions that directly impact critical missions and the lives of those protecting our country.
  • Work alongside the best: Collaborate with a passionate team of engineers and scientists, united by a shared drive to excel and a commitment to delivering outstanding results.
  • Leave your mark: CTC is more than just a job. It's a launchpad for your engineering dreams.
  • Competitive salary and benefits package.
  • Although our work at CTC is extremely important, we also recognize the need for our employees to maintain a proper mix of work and personal life.
  • Visit www.ctc.com to learn more.

Join us! CTC offers exceptional career growth, cutting edge technology, educational opportunities, and recognition for quality work.

https://concurrent-technologies-corporation.breezy.hr/

Staffing Requisition: SR# 2026-0076

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law.