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Remote Entry Level Data Engineering Jobs in Lime Ridge, PA

Remote Entry Level Data Engineering information

See Lime Ridge, PA salary details

$41.3K

$120.5K

$164.9K

How much do remote entry level data engineering jobs pay per year?

As of Jul 29, 2026, the average yearly pay for remote entry level data engineering in Lime Ridge, PA is $120,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,400.00 and $127,800.00 per year, depending on experience, location, and employer.

What is a remote entry level data engineer?

A remote entry level data engineer is a professional who works from a location outside of a traditional office setting to help design, build, and maintain the data infrastructure and pipelines needed for organizations to collect and analyze data. These roles are suitable for individuals new to the field, often requiring foundational knowledge in programming, databases, and data processing tools. Entry level data engineers typically work under the guidance of more experienced team members and focus on tasks such as data cleaning, basic ETL (extract, transform, load) processes, and supporting data integration projects. Working remotely allows for flexibility and collaboration using digital communication tools.

What are the key skills and qualifications needed to thrive as a Remote Entry Level Data Engineer, and why are they important?

To thrive as a Remote Entry Level Data Engineer, you need a foundational understanding of databases, data modeling, and programming languages such as Python or SQL, often supported by a relevant degree or coursework. Familiarity with cloud platforms (like AWS or Azure), ETL tools, and version control systems (such as Git) is typically required. Strong problem-solving skills, attention to detail, and effective virtual communication are essential soft skills for remote collaboration and troubleshooting. These skills ensure efficient data pipeline development, data integrity, and productive teamwork in distributed engineering environments.

What is the difference between Remote Entry Level Data Engineering vs Remote Junior Data Analyst?

AspectRemote Entry Level Data EngineeringRemote Junior Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; basic SQL and programming skillsBachelor's in related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, cloud platforms, data pipelinesReporting, data interpretation, dashboards
Industry UsageTech, finance, healthcare, e-commerceMarketing, retail, finance, healthcare

Remote Entry Level Data Engineering focuses on building data pipelines and managing data infrastructure, requiring technical skills like SQL and programming. Remote Junior Data Analysts interpret data, create reports, and support decision-making. While both roles involve working with data remotely, data engineers handle data infrastructure, whereas data analysts focus on analyzing and visualizing data to provide insights.

What are some common challenges faced by remote entry level data engineers, and how can they be addressed?

Remote entry level data engineers often face challenges such as limited hands-on mentorship, understanding complex data pipelines, and collaborating across different time zones. To overcome these, it's helpful to proactively communicate with your team, seek feedback regularly, and make use of virtual collaboration tools. Participating in team meetings, asking questions, and accessing available documentation will help you build confidence and stay aligned with project goals.
What cities near Lime Ridge, PA are hiring for Remote Entry Level Data Engineering jobs? Cities near Lime Ridge, PA with the most Remote Entry Level Data Engineering job openings:
Infographic showing various Remote Entry Level Data Engineering job openings in Lime Ridge, PA as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,528 per year, or $57.9 per hour.

Senior Databricks Engineer (Platform & Data Engineering)

Geisinger Health

Danville, PA • On-site, Remote

$119K - $164K/yr

Full-time

Medical, Dental, Vision

Re-posted 23 days ago


Geisinger Health rating

6.9

Company rating: 6.9 out of 10

Based on 440 frontline employees who took The Breakroom Quiz

455th of 890 rated healthcare providers


Job description

Location:
Work from home (Pennsylvania)
Shift:
Days (United States of America)
Scheduled Weekly Hours:
40
Worker Type:
Regular
Exemption Status:
Yes
Job Summary:
We are seeking a Databricks Platform Administrator / Data Engineer who enjoys development, application configuration, and building innovative solutions. This role is ideal for someone who thrives on possibilities, sees the bigger picture, and consistently delivers the best version of any task. You will architect solutions from conversational ideas, break work into actionable tasks in Microsoft Planner or Azure DevOps, and collaborate across a dynamic team to drive data platform excellence.
You'll be responsible for the performance of tasks related to application implementation, adoption, enhancement, and support. This includes but is not limited to analysis, development, training, testing, documentation, go-live and on-going support, problem resolution, and maintenance.
Job Duties:
Key Responsibilities
  • Databricks Administration: Manage workspaces, clusters, jobs, security configurations, libraries, and overall platform health.
  • Data Engineering: Build and optimize data pipelines and transformations using PySpark and T-SQL.
  • Automation & Development: Create automation and tooling using Python, Bash, and PowerShell.
  • Governance & Security: Implement and automate data governance, access controls, auditability, and compliance best practices.
  • Note: A significant portion of our development focuses on governance and security automation.
  • Solution Architecture: Translate conversational ideas into clear solution architectures; break work into tasks in Planner or Azure DevOps for team execution.
  • Effort Estimation: Estimate level of effort and forecast delivery dates with reasonable accuracy.
  • Documentation: Produce high-quality documentation including workflows, gap analyses, design specs, build docs, test plans, and transition documentation.
  • Testing Oversight: Oversee unit, scenario-based, integrated, capacity, and parallel testing.
  • On-Call Support: Participate in a 24×7×365 on-call rotation to support Databricks, SQL Server, and other relevant applications supported by the team.
  • Upgrades & Monitoring: Support system upgrades, patches, performance tuning, observability, and proactive monitoring.
  • Data Integrity: Maintain accountability for data integrity across applications and pipelines.
  • Change Management: Complete system build and documentation in adherence to departmental guidelines and change management policy.
  • Peer Review: Review teammates' work and provide constructive feedback.
  • Communication & Escalation: Communicate effectively with peers, stakeholders, and leadership; provide regular status updates and escalate issues appropriately.
  • Facilitation & Leadership: Drive discussions, mentor accountable leaders, and coordinate resources across initiatives.
  • Training & Mentorship: Provide feedback on training materials; conduct training sessions; develop and mentor other team member.
  • Policies & Vendor Engagement: Help develop department guidelines, standards, procedures, and policies; facilitate vendor reviews and selection processes.
  • Integrations (as applicable): Demonstrate understanding of integration and technical requirements for peripherals/devices that interface with assigned applications.
  • Support Coordination: Coordinate remote and/or on-site support as needed for end-users.

Optional Contributions
  • Create complex AI/BI dashboards.
  • Contribute to CI/CD pipelines and integrations using Azure DevOps or GitHub.
  • Apply Terraform for infrastructure as code.
  • Provide MS SQL Server administrative support.

Work is typically performed in an on-campus or home office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job.
*Relevant experience may be a combination of related work experience and degree obtained (Associate's Degree = 2 years; Bachelor's Degree = 4 years).
Position Details:
Required Skills & Qualifications
  • Solid experience with Databricks administration, including workspace management, cluster configuration, security, jobs, and libraries.
  • Strong proficiency in Python and scripting with Bash and PowerShell.
  • Experience with PySpark and/or T-SQL for data processing and transformation.
  • Excellent communication skills with the ability to articulate technical concepts clearly to varied audiences.
  • Demonstrated critical thinking, problem-solving, and troubleshooting skills.
  • Ability to estimate effort and deliver on time.
  • Strong understanding of data governance principles and best practices.
  • Commitment to information security best practices.

Preferred Qualifications
  • Familiarity with Terraform for infrastructure as code.
  • Experience creating AI/BI dashboards.
  • Knowledge of CI/CD pipelines and integration using Azure DevOps or GitHub.
  • Hands-on experience with AWS data ingestion tools (e.g., Glue, Lambda).
  • Experience with MS SQL Server administration.
  • Knowledge of cloud architecture and multi-cloud environments.

Education:
High School Diploma or Equivalent (GED)- (Required)
Experience:
Minimum of 3 years-Managing people, processes, or projects (Required), Minimum of 12 years-Relevant experience* (Required)
Certification(s) and License(s):
Skills:
Communication, Critical Thinking, Interpersonal Communication
OUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities.
  • KINDNESS: We strive to treat everyone as we would hope to be treated ourselves.
  • EXCELLENCE: We treasure colleagues who humbly strive for excellence.
  • LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow.
  • INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation.
  • SAFETY: We provide a safe environment for our patients and members and the Geisinger family.

We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. Perhaps just as important, we encourage an atmosphere of collaboration, cooperation and collegiality.
We know that a diverse workforce with unique experiences and backgrounds makes our team stronger. Our patients, members and community come from a wide variety of backgrounds, and it takes a diverse workforce to make better health easier for all. We are proud to be an affirmative action, equal opportunity employer and all qualified applicants will receive consideration for employment regardless to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.

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