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Entry Level Data Engineer Remote Jobs in Pittsburgh, PA

Remote Cloud Engineer

Pittsburgh, PA · Remote

$54 - $72.25/hr

20777 -1 Remote-Cloud Software Engineer, Pittsburgh, PA 12 months Contract Sigma Systems is looking ... Data protection Required Certifications: One of the following cloud certifications required: * AWS ...

New

GAI Consultants, Inc is seeking an Entry Level (1-3 years experience) "Traffic Engineer- in ... Hybrid or remote work is available with residency required in the Commonwealth of PA. A successful ...

GAI Consultants, Inc is seeking an Entry Level (1-3 years experience) "Traffic Engineer- in ... Hybrid or remote work is available with residency required in the Commonwealth of PA. A successful ...

Application & System Reliability Engineer

PA · On-site +1

$97K - $123K/yr

This is a remote position where candidates must reside within the United States to be considered ... S. power distribution and data center market • Problem-solving skills • Effective communication ...

The Synthetic Population Engineer uses cutting edge data science techniques to continuously improve ... data-driven decision-making and make a real-world difference. This is a remote position open to ...

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Showing results 1-20

Entry Level Data Engineer Remote information

See Pittsburgh, PA salary details

$43.2K

$125.9K

$172.3K

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

As of Sep 1, 2026, the average yearly pay for entry level data engineer remote in Pittsburgh, PA is $125,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,200.00 and $133,500.00 per year, depending on experience, location, and employer.

What is an entry level data engineer remote?

An Entry Level Data Engineer (Remote) is a professional who helps build and maintain systems for collecting, storing, and analyzing large sets of data, all while working from a location outside of a traditional office. They typically assist with tasks like setting up data pipelines, cleaning raw data, and supporting data infrastructure. These roles often require basic programming skills in languages such as Python or SQL, familiarity with cloud platforms, and a foundational understanding of databases. Working remotely, they collaborate with teams using digital communication tools to ensure data is accessible and reliable for analysis.

What are the key skills and qualifications needed to thrive as an entry level data engineer remote?

To thrive as an Entry Level Data Engineer (Remote), you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a relevant degree in computer science or a related field. Familiarity with cloud platforms (e.g., AWS, Azure), ETL tools, and version control systems like Git is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with distributed teams. These skills ensure you can efficiently manage data pipelines, maintain data quality, and contribute effectively in a remote work environment.

What are some common challenges faced by entry level data engineers working remotely, and how can they overcome them?

Entry-level data engineers working remotely often face challenges such as limited access to immediate mentorship, difficulties in understanding existing data infrastructure, and coordinating effectively with cross-functional teams. Overcoming these challenges involves proactive communication—regularly checking in with team members and asking for clarification when needed. Utilizing collaborative tools, documenting your work thoroughly, and participating in virtual knowledge-sharing sessions can help you stay connected and continue learning in a remote setting.

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

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

What are popular job titles related to Entry Level Data Engineer Remote jobs in Pittsburgh, PA?

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

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

The top searched job categories for Entry Level Data Engineer Remote jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Entry Level Data Engineer Remote jobs?

Cities near Pittsburgh, PA with the most Entry Level Data Engineer Remote job openings:

Infographic showing various Entry Level Data Engineer Remote job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 2% Internship, 79% Full Time, 8% Part Time, and 11% Contract. Highlights an 8% In-person, and 92% Remote job distribution, with an average salary of $125,931 per year, or $60.5 per hour.

Clinical Data Scientist

RedSail Technologies, LLC

Warrendale, PA • On-site, Remote

$140K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

Clinical Data ScientistJob Summary

The RedSail Advantage Solutions has the primary mission to create incremental value streams for RedSail through the development and activation of Clinical, Financial, & Operational Programs that leverage our uniquely integrated technology platforms as well as our associated reach within the targeted market segments. The Clinical Data Scientist, will participate in the making use of RedSail’s data to evaluate and establish various impactful programs to accomplish and assist with the measurement of program effectiveness against the department objectives.

Key Duties
  • Data Collection: Gathering data from various sources, such as databases, APIs, web scraping, and more. This can involve collecting structured and unstructured data.
  • Data Cleaning: Preprocessing the collected data to handle missing values, remove duplicates, correct inconsistencies, and address outliers. This step ensures data quality and reliability.
  • Data Exploration (Exploratory Data Analysis, EDA): Analyzing the main characteristics of the data often through visualization and summary statistics. This helps in understanding data distributions, relationships between variables, and identifying patterns or anomalies.
  • Data Transformation: Modifying data into a suitable format for analysis, such as normalization, standardization, or creating new features (feature engineering).
  • Data Visualization: Creating visual representations of data, such as graphs, charts, and dashboards, to communicate findings effectively. Tools like Matplotlib, Seaborn, and Tableau are commonly used.
  • Statistical Analysis: Applying statistical methods to understand data distributions, test hypotheses, and infer relationships. This can include t-tests, chi-square tests, ANOVA, and regression analysis.
  • Data Communication: Presenting findings, insights, and recommendations to stakeholders through reports, presentations, and storytelling. Effective communication is crucial for decision-making.
  • Collaboration with Domain Experts: Working with professionals from various fields to ensure that the data science approach aligns with business goals and that the results are meaningful and actionable.
  • Keeping Up with Industry Trends: Continuously learning and adapting to new tools, technologies, and methodologies in data science to stay current and effective in the field.
  • Ethical Considerations and Compliance: Ensuring that data usage complies with ethical standards and legal regulations, such as data privacy laws (e.g., HIPAA)
Education/Training
  • Bachelor’s degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree. Doctor of Pharmacy with data credentials or extensive data experience may substitute for formal education in Data Science.
Required Work Skills/Experience
  • Pharma/Pharmacy/Healthcare experience.
  • Experience programming with SQL scripting.
  • Experience with data analytics visualization tools such as PowerBI and Tableau.
  • Ability to transform complex data across multiple platforms into concise datasets.
  • Ability to visualize data in the most effective way possible for a given project or study.
  • Strong analytical and problem-solving skills; inquisitive.
  • Ability to work independently and with team members from different backgrounds and collaborative styles.
  • Excellent attention to detail with critical thinking skills.
Preferred Work Skills/Experience
  • A combination of both Doctor of Pharmacy and degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree (i.e. Pharmacist Data Scientist) strongly preferred.
  • 2 years of experience as a Data Analyst, Data Scientist or Data Engineer.
  • Experience with Pharma/Pharmacy transactions.
  • Experience programming with Python or Go Lang.
Discretionary Judgement
  • Uses independent judgment and discretion based upon the employee’s experience in the position and knowledge of the products, equipment, and services.
  • Uses good judgment and possesses ethical work values.
Physical Demands/Working Conditions/General Employment
  • Moderate or high stress levels may be experienced in the job performance.
  • Position is performed in a general office environment, home office, or approved remote workspace where physical work includes, but is not limited to, sitting, standing, reaching, kneeling, bending, and lifting to 25 lbs.
Equipment
  • Daily use of Microsoft Teams (phone), computer, printer, and other routine office equipment.
  • Must have reliable and consistent internet access.
Safety to Self and Others
  • Little responsibility for the safety of others. Job is performed in an office setting where there are no hazardous materials or equipment.
Working Conditions/Hazards
  • Position is performed in an open office environment or approved remote work location.
Compensation & Total Rewards
  • The anticipated base salary range for this position is $140,000-$145,000 annually. This position is also eligible for an annual target bonus of 4%. Actual compensation will be determined based on factors including relevant experience, skills, qualifications, and geographic location.
  • Benefits include paid time off, medical, dental, and vision insurance, a 401(k) with a 5% company match, a fitness bonus, professional development opportunities, and programs that support overall well-being.
Work Location
  • Hybrid at a RedSail Office
    • Spartanburg, SC
    • Irving, TX
    • Shreveport, LA
    • Oak Brook, IL
    • Cranberry Township, PA
    • Long Island, NY