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Financial Data Engineer Remote Jobs in Columbia, SC

Quality Assurance Engineer

North, SC · Remote

$90K - $130K/yr

Quality Assurance Engineer Remote - Restricted to North America About Brave Brave is on a mission ... Big Tech makes huge profits off our data, and tells us what's true and what's not. Brave is ...

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... Strong understanding of data structure and APIs required * Experience with Python and/or other code ...

Financial Audit Senior Consultant

Columbia, SC · Remote

$107K/yr

Monitor, analyze, and evaluate assigned financial/accounting transactions and other financial data ... Experience with BCBS Inter-Plan Programs and proficiency with Microsoft Office Suite. #LI-Remote ...

... Engineers to ensure analyses are grounded in reliable data and effectively operationalized. The ... Current remote and field-based Unum employees may apply and will be considered in accordance with ...

Program Manager - AI Engineering

Columbia, SC · On-site +1

$119K/yr

Data engineering and big data ecosystems * DevOps and CI/CD pipelines * Financial & Operational Skills & Experience: * Portfolio budgeting and forecasting * Cost optimization strategies for cloud and ...

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Government Contract Mandates and access to sensitive public safety data. * Experience with ...

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Financial Data Engineer Remote information

See Columbia, SC salary details

$41.2K

$120K

$164.2K

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

As of Aug 22, 2026, the average yearly pay for financial data engineer remote in Columbia, SC is $120,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,900.00 and $127,200.00 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 Columbia, SC?

The most popular types of Financial Data Engineer jobs in Columbia, SC are:

What are popular job titles related to Financial Data Engineer Remote jobs in Columbia, SC?

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

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

The top searched job categories for Financial Data Engineer Remote jobs in Columbia, SC are:

What cities near Columbia, SC are hiring for Financial Data Engineer Remote jobs?

Cities near Columbia, SC with the most Financial Data Engineer Remote job openings:

Principal Data Engineer - CX Analytics

Unum UK

Columbia, SC • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

Job Posting End Date: August 15

When you join the team at Unum, you become part of an organization committed to helping you thrive.

Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:

  • Award-winning culture

  • Inclusion and diversity as a priority

  • Performance Based Incentive Plans

  • Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability

  • Generous PTO (including paid time to volunteer!)

  • Up to 9.5% 401(k) employer contribution

  • Mental health support

  • Career advancement opportunities

  • Student loan repayment options

  • Tuition reimbursement

  • Flexible work environments

*All the benefits listed above are subject to the terms of their individual Plans.

And that's just the beginning...

With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you're directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today!

General Summary:We are seeking a Principal Data Engineer to join the CX Analytics team within our Customer Experience Organization. In this role, you will lead the design and implementation of data solutions that enable BI/reporting and advanced analytics across the team, ensuring data is accessible, reliable, and structured for meaningful use across our team. You will build and maintain scalable data pipelines, develop and optimize data models, and integrate new data sources across the ecosystem, including both structured and unstructured data. A core focus of the role is enabling analytics through automation and advancing how we leverage AI-developing and supporting pipelines that incorporate unstructured data and LLM-based workflows to extract signal from sources such as raw text.
As a hands-on technical leader, you will define standards and best practices for data engineering while mentoring other engineers and partnering closely with BI Analysts and Data Scientists to support their work. You will help shape how data flows through the team, ensuring environments, pipelines, and datasets are built with quality, scalability, and usability in mind. The ideal candidate is a strong problem solver and collaborator who can work across technologies and data domains, guide technical direction, and consistently enable the team to deliver high-quality analytics that support better decision-making across the organization.
This is a campus-based role. Current remote and field-based Unum employees may apply and will be considered in accordance with company policy.

Principal Duties and Responsibilities

  • Proactively partner with the business to provide development, construction, testing, and maintenance of data pipelines that support the needs of the business.
  • Integrate large volume of highly complex data from different sources (including DB2, SQL Server, Web API and Teradata).
  • Apply validation, aggregation, and reconciliation techniques to create a rich data framework.
  • Work closely with the data scientists and business partners to understand the business problem they are trying to solve and the analytics solutions they plan to apply. Use this understanding to create appropriate data structures tailored for the specific problem.
  • Build and maintain best practices for team's data engineering strategy; as well as staying informed of best practices across industries and striving for innovation and efficiency.
  • Understand and contribute to the evolution of the enterprise data architecture including the application of current and emerging data frameworks and tools (eg hosting data in Cloud).
  • Efficiently prepares results for interpretation and/or visualization and communicates findings and potential value to influence strategic decision making.
  • Support integration of solutions within existing business processes using automation techniques.
  • Continuously research and build upon deep understand theory and application of current and emerging software and data engineering practices.
  • Provides support, training and/or mentorship to lower level Data Engineer peers.
  • Perform other related duties as assigned

Job Specifications

  • Bachelor's degree in quantitative field is required, Master's or PhD is preferred
  • 8 years of professional experience or equivalent relevant work experience preferred
  • Core Data Engineer Capabilities: Deep expertise in each of the following skillsets is preferred:
  • Software Engineering: Expertise in at least one relevant object-oriented programing language (i.e. Java/Scala, Python). Experience in DevOps best practice including CI/CD, process automation and optimization.
  • Data Architecture and Infrastructure: Good understanding of data architecture principles and related infrastructure requirements, covering on-prem and Cloud platforms.
  • Holistic Data Preparation: The ability to understand and present data in the appropriate context, including a good understanding how the data will build towards a business solution.
  • Data Extraction, Transform & Load: Preferred skills include: Expertise in writing complex SQL queries that join multiple tables/databases. Independently explore databases/tables or other legacy data content to identify best data sources to solve business problems. Demonstrates ability to troubleshoot complex SQL queries with little guidance. Demonstrates ability to create logical data models by combining data from multiple sources including internal and external data
  • Core business capabilities: Demonstrated communication skills, experience in financial services, leadership experience working with senior management and executive leadership, and attention to detail while effectively and independently prioritizing work and managing multiple projects simultaneously. Demonstrated ability to understand and explain a problem and identify and communicate an appropriate solution.
  • Leadership Capabilities: Leader within their field, both internally and externally. Naturally effective coach and mentor, actively engages peers and team members, especially within areas of expertise. Viewed as a leader in change management. Maintains depth of technical understanding of third party/cloud solutions.
  • This position may have key leadership responsibilities, including:
  • People Management: Actively participates in determining staffing needs of the team, including hiring and development. Leads assigned team in the completion of requested activities and projects.
  • Engineering strategic and program management for their organization: Coaches, mentors, and helps build team. Proactively identifies and researches new approaches and skills needed for performing data science and advanced analytics.
  • Preferred characteristics: Entrepreneurial self-starter. A thorough, results-oriented problem-solver, and a lifelong learner with voracious curiosity. Deep expertise in their organization. Demonstrates ability to conduct independent research and development of techniques that may be shared internally and externally.

#LI-TO1

#LI-MULTI

~IN4

Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.

Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.

The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.

$109,100.00-$224,000.00

Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans.

Company:

Unum