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Financial Data Engineer Remote Jobs in Pittsburgh, PA

Data Ideology

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Data Ideology LLC

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · On-site +1

$111K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Synopsys

Data Engineer / Architect

Canonsburg, PA · On-site +1

$152K/yr

... Remote Eligible Yes Base Salary Range: $152000 - $228000 Descriptions & Requirements and ... We offer a comprehensive range of health, wellness, and financial benefits to support your personal ...

Ectobox Inc.

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 ...

Karoo Health

Senior Data Engineer

Pittsburgh, PA · On-site +1

$102K - $139K/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 ...

Data Ideology

Cloud Data Architect

Pittsburgh, PA · Remote

$65.25 - $84/hr

Design scalable data models supporting enterprise platforms, including ERP, financial, operational ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Ideology LLC

Cloud Data Architect

Pittsburgh, PA · On-site +1

$62 - $79.50/hr

Design scalable data models supporting enterprise platforms, including ERP, financial, operational ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Wabtec

Senior Field Service Engineer - Remote

Pittsburgh, PA · On-site +1

  • Medical

  • Retirement

Bloom Engineering, a Wabtec Company, improves the environmental sustainability and performance of ... Utilize, interpret, and analyze data from electronic diagnostic tools such as multimeters, pressure ...

CEI

Databricks Architect

Pittsburgh, PA · On-site +1

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 ...

Amicis Global

Accountant as 100% Remote

Pittsburgh, PA · Remote

$50/hr

Accountant Location: 100% Remote Duration: 12 Months Pay Rate: $40 - $50.00/- on W2 Glider Test ... Proven ability to analyze financial data, identify discrepancies, and resolve issues efficiently

CEI

Fircosoft QA Engineer

Pittsburgh, PA · Remote

$60 - $70/hr

Banking or financial services experience preferred. * Data engineering and data modeling experience ... with databases such as MongoDB, ElasticSearch, Oracle, Apache Iceberg. * Strong data engineering ...

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All JobsFinancial Data Engineer JobsFinancial Data Engineer Remote JobsFinancial Data Engineer Remote Jobs in Pittsburgh, PA

Financial Data Engineer Remote information

See Pittsburgh, PA salary details

$43.2K

$125.9K

$172.3K

How much do financial data engineer remote jobs pay per year?

As of Aug 20, 2026, the average yearly pay for financial 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 does a financial data engineer do in a remote role?

A Financial Data Engineer designs, builds, and maintains systems that process and analyze large sets of financial data. Working remotely, they collaborate with teams to develop data pipelines, integrate financial databases, and ensure the reliability of data used for financial analysis and reporting. They often use programming languages like Python or SQL, and work with big data tools to support data-driven decision-making for financial institutions or fintech companies. Their work is crucial to transforming raw financial data into actionable insights.

What are the key skills and qualifications needed to thrive as a financial data engineer in a remote role?

To thrive as a Financial Data Engineer (Remote), you need strong programming skills (such as Python or SQL), experience with data modeling, and a background in finance or quantitative analysis, often supported by a relevant degree. Proficiency with big data platforms (like Hadoop or Spark), ETL tools, and cloud data services (such as AWS or Azure) is typically required, alongside certifications in data engineering or finance. Excellent problem-solving, communication, and time management skills help you collaborate effectively and independently in a distributed environment. These capabilities are crucial for building reliable financial data pipelines, ensuring data quality, and supporting timely, data-driven business decisions.

What are the typical challenges faced by remote financial data engineers when collaborating with cross-functional teams?

Remote Financial Data Engineers often work closely with data analysts, software developers, and business stakeholders across different time zones. One common challenge is ensuring effective communication and alignment on project requirements, especially when dealing with complex financial data pipelines and evolving business needs. Utilizing collaborative tools, maintaining clear documentation, and participating in regular virtual meetings can help bridge gaps and foster productive teamwork. Staying proactive about updates and being responsive to feedback are key to ensuring smooth collaboration in a remote environment.

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

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

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

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

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

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

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

Financial Data Engineer Remote jobs near you

Sr. Data Engineer (Snowflake)

Data Ideology

Pittsburgh, PA • Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 26 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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