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Remote Data Engineer Jobs in Harrisburg, PA (NOW HIRING)

Data Engineer

Mechanicsburg, PA · Remote

$125K - $150K/yr

REMOTE: Possibility of up to 10% Travel required - Client meetings in Mechanicsburg, PA, and/or Yorktown, VA Salary Range: $125,000 - $150,000 Primary Responsibilities: The Data Engineer will be ...

Data Architect

Mechanicsburg, PA · On-site +1

$150 - $180K/hr

REMOTE: Possibility of up to 10% Travel required - Client meetings in Mechanicsburg, PA, and/or ... AWS Certified Cloud Practitioner, Data Engineer, Solutions Architect or similar equivalent Cloud ...

Senior Modeling Engineer

York, PA · On-site +1

$102K - $141K/yr

What You Will Do Johnson Controls' Data Center Thermal Technology Solutions group is seeking a ... also be a remote opportunity for the right candidate! How You Will Do It * Develop numerical ...

Remote Scrum Master

Camp Hill, PA · Remote

$50.75 - $68/hr

The ideal candidate has experience leading Agile delivery teams supporting healthcare data ... Coordinate cross-functional delivery activities involving business stakeholders, engineering ...

Sr Software Engineer, Smart Mobility

Harrisburg, PA · On-site +1

$120K - $159K/yr

Will consider remote applicants for the right skillset. Position may be hybrid, with a blend of in ... Data layer: Design schemas, write and tune queries, and own data access and migrations across ...

This role is based in York, Pennsylvania, USA, with hybrid and remote working options available ... Strong analytical and engineering skills, including data analysis, applied statistics, process ...

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Remote Data Engineer information

See Harrisburg, PA salary details

$43.9K

$128.1K

$175.3K

How much do remote data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote data engineer in Harrisburg, PA is $128,072.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,800.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

What are the most commonly searched types of Data Engineer jobs in Harrisburg, PA?

The most popular types of Data Engineer jobs in Harrisburg, PA are:

What are popular job titles related to Remote Data Engineer jobs in Harrisburg, PA?

For Remote Data Engineer jobs in Harrisburg, PA, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Harrisburg, PA look for?

The top searched job categories for Remote Data Engineer jobs in Harrisburg, PA are:

What cities near Harrisburg, PA are hiring for Remote Data Engineer jobs?

Cities near Harrisburg, PA with the most Remote Data Engineer job openings:

Infographic showing various Remote Data Engineer job openings in Harrisburg, PA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $128,072 per year, or $61.6 per hour.

Data Engineer

Entarian

Mechanicsburg, PA • Remote

$125K - $150K/yr

Full-time

Re-posted 10 days ago


Job description

Overview/ Job Responsibilities

Entarian is looking for a Data Engineer for the Naval Supply Systems Command (NAVSUP) Ordnance Information System (OIS) to provide technical expertise on a mission-critical program whose purpose is to develop, modernize, enhance, operate, and maintain services for OIS mission critical systems.

As Data Engineer you will work on a team consisting of Data and Cloud Architects, Engineers, and Administrators and focus on designing, building, deploying, and maintaining data architectures and databases in the AWS GovCloud environment.

REMOTE: Possibility of up to 10% Travel required - Client meetings in Mechanicsburg, PA, and/or Yorktown, VA

Salary Range: $125,000 - $150,000 

Primary Responsibilities:

The Data Engineer will be responsible for the following:

  • Develop, construct, test, and maintain high performance, scalable, and stable data architectures for OIS, such as databases and large-scale processing systems, and migrate data from on-premises databases to cloud-based solutions, transforming the data as required.
  • Develop and maintain scalable data pipelines and build out new API integrations, ensure that data pipelines are scalable, repeatable, and secure.
  • Implement and manage databases and data delivery systems and transform them into insights, analysis, and reporting.
  • Identify, research, design, develop, and promote solutions that enhance the modern development environment to ensure systems meet business requirements and industry best practices.
  • Implement the data extraction, data load, and database synchronization routines and functions ETL.
  • Implement data governance and quality controls and monitor ETL/ELT jobs to ensure performance and halt any potential issues.
  • Improve system performance by conducting tests, troubleshooting, and integrating new elements and ensure all data platform solutions adhere to confidentiality and privacy requirements.
  • Collaborate with data scientists, architects, and other stakeholders to ensure that the data infrastructure supports required functions and performance metrics.
  • Design, model, document, and guide the logical and conceptual relationship of data and database changes.
  • Document data architecture and systems for both technical teams and non-technical stakeholders.
  • Perform technical planning, system integration, verification and validation, cost and risk assessments.
Minimum Qualifications
  • Must have DOD Secret level clearance to start (with willingness and ability for T3 upgrade to T5 background investigation); U.S. Citizen required only for Federal Clearance Requirement
  • Certification Requirements: Directive 8570.1/8140 - IAT II:
    • Baseline Certification: Security+
    • Computing Environment Certification: AWS Certified Solutions Architect or AWS Certified Data Engineer or similar equivalent Cloud environment certification or Oracle Database Certified Associate or equivalent Database Certification (highly preferred to have in hand upon applying; if not, must obtain within 3 months of start)
  • BA/BS (in Engineering, Computer Science or related field) or equivalent experience and 10+ years of prior relevant experience or master's with 8+ years or prior relevant experience.
  • Experience with implementing data warehousing concepts, ETL (Extract, Transform, Load) processes, and tools (e.g., Pentaho)
  • Experience with developing and administrating in PostreSQL
  • Strong proficiency in SQL and experience with other querying languages.
  • Experience in decomposition of Oracle PL/SQL stored procedures and triggers to migrate to Amazon Aurora DB, Postgres, or MySQL
  • Proven, handson expertise in data modeling, schema design, and database optimization, with the ability to design, implement, and optimize complex data structures in production environments.
  • Knowledge of data security and compliance best practices.
  • Excellent verbal and written communication skills, with the ability to interact effectively with technical and non-technical stakeholders.
  • Must be a self-starter and have the ability to work independently with little supervision. 
Desired Qualifications
  • Highly preferred DOD Top Secret level clearance to start (fully adjudicated T5 background investigation)
  • Experience with GitLab, Liquibase, CI/CD pipelines highly preferred
  • Experience with big data technologies such as Apache Hadoop, Spark, Kafka, Debezium, RabbitMQ, etc.
  • Demonstrated experience in network and cyber security design, engineering and operations with emphasis on Navy capabilities 
  • Navy experience
  • Experience with cloud data services (e.g., AWS, Azure, GCP)
  • Experience with Cloud Relational Database Services (e.g, AWS RDS, Aurora DB)
  • SAFe experience and knowledge
  • Experience with Data warehousing and Business Intelligence tools such as RedShift, MicroStrategy, Erwin Data Modeler, etc.
  • Experience with one or more programming languages like Python, Java, Scala, or Go.
About Us

Formed through the strategic union of Sev1Tech and ERT, Entarian is a premier provider of mission-critical engineering and technology solutions. Founded on a legacy of excellence dating back to 1993, Entarian is a product of an evolved and fully diversified engineering and federal technology leader. From deep space to defense and civilian missions, Entarian delivers secure, mission-aligned digital solutions that drive national resilience and operational effectiveness. We don't just support modernization; we define it.

Join the Mission and Start your Career Journey: Apply Directly via our Careers Portal  Connect, Referrals & Inquiries? Email the team: careers@entarian.com

Entarian is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Employment Type: OTHER