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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 Analyst Senior

Columbia, SC · On-site +1

$41.10 - $61.65/hr

Fully Remote Role from these states: AL, AK, AR, AZ, DE, FL, GA, IA, ID, IL, IN, LA, KS, KY, ME, MI ... Analytical skills to interpret and articulate the story around data This indicates the general ...

Senior Software Engineer

North, SC · Remote

$145K - $165K/yr

Architect secure solutions for handling financial transactions and sensitive personal data ... distributed, remote-first team Bonus Skills to Stand Out: * Experience designing and building ...

... 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 1, 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 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 engineer makes $500,000 a year?

Senior financial data engineers or those in executive or specialized roles with extensive experience and advanced skills in data architecture, cloud platforms, and programming can earn $500,000 or more annually. Such high salaries are typically found in large organizations, financial firms, or tech companies with competitive compensation packages and performance bonuses.

What engineers make $300,000 a year?

Senior financial data engineers or data architects with extensive experience, advanced skills in data modeling, programming, and cloud platforms can earn $300,000 or more annually. High compensation often involves working in large organizations, with specialized expertise, and sometimes includes bonuses or stock options.

Can I work remotely as a data engineer?

Yes, many data engineering roles, including those for financial data engineers, are available as remote positions. These jobs typically require strong skills in programming, data pipelines, and cloud platforms, and often involve collaboration through online tools. Remote work arrangements depend on the employer's policies and the specific role requirements.

Can I make 200K as a data engineer?

Financial Data Engineers with extensive experience, advanced skills in SQL, Python, and cloud platforms, and working in high-demand industries can potentially earn salaries of $200,000 or more, especially in senior or specialized roles. Compensation varies based on location, company size, and individual expertise, with some remote positions offering competitive pay at this level.

What are the key skills and qualifications needed to thrive as a Financial Data Engineer in a remote role, and why are they important?

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 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:
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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:

Senior Databricks Engineer - Remote - USA

FullStack Labs

Columbia, SC • On-site, Remote

$113K - $149K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago


Job description

About FullStack
FullStack is one of the fastest-growing software consultancy companies in the Americas. We deliver transformational digital solutions to top global companies and Silicon Valley startups. As an employee-first company, we focus on hiring the most talented software designers and developers by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.2-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We're looking to hire a Senior Databricks Engineer to join our team. You'll work with our incredible clients in one of two ways:
  • Team Augmentation: You will integrate directly into our client's team and work alongside their existing designers and engineers daily.
  • Design & Build: You will work on a FullStack product team to build and deliver a product to our clients.

What We Are Looking For
  • 5+ years of professional data engineering experience.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Strong experience designing and building production-grade data pipelines on Databricks.
  • Deep hands-on expertise with Apache Spark (Spark SQL and PySpark).
  • Advanced knowledge of Delta Lake, including ACID transactions and data versioning.
  • Expert-level SQL and Python, with a focus on scalable data transformations.
  • Proven experience implementing multi-hop architectures.
  • Strong understanding of software engineering principles applied to data systems.
  • Experience building data services, APIs, or microservices for data consumption.
  • Demonstrated ability to implement monitoring, observability, and error handling.
  • Experience optimizing data workloads for performance and cost efficiency.
  • Familiarity with data quality frameworks and automated validation.
  • Ability to debug and resolve issues in distributed systems.
  • Experience working in regulated environments with strict security requirements.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile / Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.
  • Ability to consistently work 40 hours per week.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave, parental leave, and holidays)
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .

FullStack Labs logo

About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

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