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

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117K - $140K/yr

For more information about Data Ideology, visit www.dataideology.com. Sr. Data Engineer ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Senior Data Engineer

Pittsburgh, PA · Remote

$102K - $139K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Senior Data Engineer

Pittsburgh, PA · On-site +1

$150K - $175K/yr

Minimum 5 years of dedicated professional experience in a Data Engineering role, preferably within ... Possibly fully remote work environment with flexible hours * Health benefits, learning stipends ...

Cloud Data Architect

Pittsburgh, PA · Remote

$65.25 - $84/hr

... cloud data engineering, with demonstrated ownership of architecture decisions. * Hands-on ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Cloud Data Architect

Pittsburgh, PA · On-site +1

$62 - $79.50/hr

... cloud data engineering, with demonstrated ownership of architecture decisions. * Hands-on ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Hybrid in Pittsburgh, PA 15205 ( 3 Days On-Site / 2 Days Remote ) | OR | Remote (1st pref-EST; 2nd ... The position sits within CEI's Solutions and Engineering organization, working alongside data ...

IIoT Engineer (Remote)

Pittsburgh, PA · Remote

$110K - $130K/yr

Industry 4.0 Engineer About Ectobox Ectobox is a Pittsburgh-based remote industrial intelligence ... We are experts in manufacturing data architectures and MES solutions. In our solutions we use open ...

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Remote Data Engineer information

See Coraopolis, PA salary details

$42.4K

$123.7K

$169.3K

How much do remote data engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote data engineer in Coraopolis, PA is $123,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $131,100.00 per year, depending on experience, location, and employer.

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 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.

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 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 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.
What are popular job titles related to Remote Data Engineer jobs in Coraopolis, PA? For Remote Data Engineer jobs in Coraopolis, PA, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Coraopolis, PA look for? The top searched job categories for Remote Data Engineer jobs in Coraopolis, PA are:
What cities near Coraopolis, PA are hiring for Remote Data Engineer jobs? Cities near Coraopolis, PA with the most Remote Data Engineer job openings:
Sr. Data Engineer (Snowflake)

Sr. Data Engineer (Snowflake)

Data Ideology

Pittsburgh, PA • Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 21 days ago


Job description

Data Ideology
At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients.  Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results.  Our team consists of highly motivated individuals who are passionate about learning, understanding, collaborating, and who are intellectually curious.  For more information about Data Ideology, visit www.dataideology.com.
Sr. Data Engineer -  (Snowflake)
Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team in a client-facing, consultative role that blends solution design with hands-on delivery. You will work directly with clients and our internal teams to design, implement, and optimize modern data platforms in Snowflake.
This role is ideal for experienced data engineers who want to expand their impact by engaging with clients early in the process to understand requirements, shape solutions, and then lead the delivery of high-quality implementations. While you will occasionally support the scoping of new projects, this is not a sales role — your primary focus will be on technical execution, solution architecture, and delivery leadership.
Responsibilities
To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily.  Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.  Other duties may be assigned to meet business needs.

  • Design and build scalable, secure, and cost-effective data solutions in Snowflake.
  • Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud-native services.
  • Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans.
  • Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs).
  • Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management.
  • Lead modernization and migration initiatives to move clients from legacy systems into Snowflake.
  • Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks.
  • Contribute to internal accelerators, frameworks, and proofs of concept.
  • Mentor junior engineers and support knowledge sharing across the team.
Supervisory Responsibilities: None
Qualifications:
Education and Experience:
  • 7+ years of experience in data engineering, data warehousing, or data architecture.
  • 3+ years of hands-on Snowflake experience (performance tuning, data sharing, Snowpark, Snowpipe, etc.).
  • Strong SQL and Python skills, with production experience using dbt.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tooling (Airflow, Fivetran, Power BI, Looker, Informatica, etc.).
  • Prior experience in a consulting or client-facing delivery role.
  • Excellent communication skills, with the ability to collaborate across technical and business stakeholders.
  • Preferred - SnowPro Certification
Work Environment:
  • Remote work from home.
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.
Physical Demands:
  • Must be able to remain in a stationary position 50% of the time.
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
  • The person in this position frequently communicates with clients and coworkers.  Must be able to exchange accurate information in these situations.
Benefits:
  • Eligible for Medical, Dental, Vision, 401(k), training and certification reimbursement, and flexible time off in accordance with company policies.
Data Ideology is an EEO Employer

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