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Financial Data Engineer Remote Jobs in Bridgeport, CT

... data centers and critical manufacturing facilities). You will work with Strategic Account Sales ... This is a remote position. Candidates can be located anywhere in the US. This role is contributing ...

... data centers and critical manufacturing facilities). You will work with Strategic Account Sales ... This is a remote position. Candidates can be located anywhere in the US. This role is contributing ...

... data centers and critical manufacturing facilities). You will work with Strategic Account Sales ... This is a remote position. Candidates can be located anywhere in the US. This role is contributing ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Jr. Systems Engineer - Hybrid

Stamford, CT · On-site +1

$55K - $75K/yr

Provide onsite and remote IT support to client users. * Troubleshoot and resolve desktop, software ... Familiarity with financial market applications, including Bloomberg, Thomson Reuters, FactSet, or ...

Staff Electrical Engineer

Danbury, CT · On-site +1

$130K - $160K/yr

Remote (U.S); On-site in Danbury, CT preferred. Overview We are seeking a hands-on Lead Electrical ... Experience with hydrogen, electrolysis, fuel cells, data centers, temporary microgrids, modular ...

Showing results 41-60

Financial Data Engineer Remote information

See Bridgeport, CT salary details

$45.2K

$131.9K

$180.5K

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 Bridgeport, CT is $131,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $139,800.00 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 popular job titles related to Financial Data Engineer Remote jobs in Bridgeport, CT?

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

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

The top searched job categories for Financial Data Engineer Remote jobs in Bridgeport, CT are:

What cities near Bridgeport, CT are hiring for Financial Data Engineer Remote jobs?

Cities near Bridgeport, CT with the most Financial Data Engineer Remote job openings:

Infographic showing various Financial Data Engineer Remote job openings in Bridgeport, CT as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $131,891 per year, or $63.4 per hour.

Senior RWE/RWA Programmer - Remote

Penfield Search Partners

Fairfield, CT • Remote

Full-time

Re-posted 6 days ago


Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates Brief Description: The Senior Real-World Analyst (RWA) will be responsible for conducting analyses for Real-World Evidence (RWE) studies utilizing administrative claims, electronic medical records (EMR), and registry data. The successful candidate will possess a deep understanding about the use of Real-World Data (RWD), exceptional programming and analytical skills and a proven track record in delivering high-quality RWE analytic projects. The candidate will also ensure the timeliness and delivery of scientifically valid research

Essential Functions Effectively designs and codes R and SQL programs for assigned project(s), consistently meeting objectives of the project. Clean and validate RWD for consistency and reliability Implement programming as specified from RWE protocol using a variety of RWD from multiple sources, including Optum and Flatiron Leverage advanced statistical and epidemiological methodologies to deliver robust and reliable analyses Create or review and approve programming plans at study and project level. Displays highly advanced knowledge regarding program, epidemiology methodologies implementation and system development life cycle concepts.

Maintain clear documentation of analytical programming and operational definitions to support reproducible and auditable RWE studies Develop dashboards, reports, and presentations to communicate findings Work collaboratively with members of study teams to meet study and recurring report timelines Minimum Requirements MS in data science, epidemiology, statistics, public health or related discipline At least 7 years of RWD analysis experience using healthcare claims/EMR/registry databases within the biopharmaceutical industry or provider/payer organizations Fluence in programming software SQL and R is required. Knowledge of SAS and/or Python would be considered an advantage Optum and Flatiron experience are required Familiarity with US and global health care coding system (e.g. ICD, CPT, HCPCS, LOINC, MedDRA) and delivery system (e.g

payers and reimbursement models) Experience conducting routine and advanced statistical analyses for RWE generation, leveraging time-to-event, cross-sectional, and longitudinal data Experience with big data analytical platforms Deep understanding of observational study analysis Able to work in a fast-paced, flexible, team-oriented environment