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Financial Data Engineer Remote Jobs (NOW HIRING)

Databricks Data Engineer (Remote)

New York, NY ยท On-site +1

$120K - $160K/yr

We are a global AI-native consultancy with proven experience across Financial Services, Energy ... ELT) pipelines using data engineering best practices. * Ensure the entire ELT process is ...

Senior Data Engineer (Remote)

Boston, MA ยท Remote

$115K - $156K/yr

Sr. Data EngineerEngineering Boston, Massachusetts * This is a remote or work-from-home role ... About Us: We're on a mission to improve health equity and drive improved health and financial ...

Data Engineer

Leesburg, VA ยท Remote

$115K - $139K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ... XBRL & Financial Data Processing * Develop pipelines to ingest, parse, and normalize XBRL ...

Data Engineer

Leesburg, VA ยท On-site +1

$115K - $139K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ... XBRL & Financial Data Processing * Develop pipelines to ingest, parse, and normalize XBRL ...

Data Engineer

Leesburg, VA ยท Remote

$117K - $140K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ... XBRL & Financial Data Processing * Develop pipelines to ingest, parse, and normalize XBRL ...

... remote, located in the United States. Responsibilities * Lead migration efforts from on-premises infrastructure to cloud-based solutions. * Lead teams of data platform engineers, security teams, and ...

Manager, Data Engineer (Remote)

Home, PA ยท Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

GovCIO is seeking an experienced Cloud Data Engineer to support the Department of Veterans Affairs ... This position is fully remote, located in the United States. Responsibilities * Create cloud ...

Manager, Data Engineer (Remote)

Home, WA ยท Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Manager, Data Engineer (Remote)

New York, NY ยท Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Manager, Data Engineer (Remote)

Raleigh, NC ยท Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu ... markets, including financial services, manufacturing, telecommunications, chemical services ...

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Manager, Data Engineer (Remote)

Home, PA ยท Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

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Financial Data Engineer Remote information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jul 9, 2026, the average yearly pay for financial data engineer remote in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 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 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.
More about Financial Data Engineer Remote jobs
What cities are hiring for Financial Data Engineer Remote jobs? Cities with the most Financial Data Engineer Remote job openings:
What are the most commonly searched types of Financial Data Engineer jobs? The most popular types of Financial Data Engineer jobs are:
What states have the most Financial Data Engineer Remote jobs? States with the most job openings for Financial Data Engineer Remote jobs include:
Infographic showing various Financial Data Engineer Remote job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Databricks Data Engineer (Remote)

Indicium AI

New York, NY โ€ข On-site, Remote

$120K - $160K/yr

Other

Re-posted 17 days ago


Job description

About Indicium AI

Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability.

Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact.

The Opportunity
Responsible for the development, implementation, and maintenance of scalable, reliable, and high-performance data solutions. Will design and build data pipelines, ensuring the integration, security, and reliability of data from diverse sources to meet the needs of internal and external applications, as well as to support advanced analytics and strategic decision-making for the company.

Responsibilities:

  • Perform data ingestion/integration from various sources (relational and NoSQL databases, internal and external service APIs, files, and others) and ensure data quality and consistency.
  • Implement data storage solutions (Data Warehouses, Data Lakes) and optimize the performance of data queries and processing.
  • Managing data loading in distributed storage (whether relational or non-relational)
  • Aggregate data using distributed tools that can handle large volumes of data.
  • Design, develop, and maintain robust and efficient Electronic Logistics (ELT) pipelines using data engineering best practices.
  • Ensure the entire ELT process is functioning correctly through monitoring and metrics such as SLAs.
  • Monitor the execution of ELT applications hosted in the cloud and on-premises.
  • To ensure data security and governance by implementing data access and quality policies.
  • To provision and/or maintain the data infrastructure, ensuring scalability, availability, and security.
  • Automate the provisioning and management of infrastructure using Infrastructure as Code (IaC) tools.
  • Disseminating DevOps and DataOps best practices within the team.
  • Collaborate with teams to deliver data solutions that meet business needs.
  • Research and implement new technologies and tools to improve the efficiency and scalability of data solutions.
  • Having the freedom and critical thinking skills to propose and question solutions related to data engineering.
  • Documenting processes, architectures, and data solutions.

Requirements:

  • At least 4 years of experience in at least one programming language (Python, Java, Ruby, JavaScript, Scala, etc.);
  • Experience with version control systems such as GitHub, GitLab, Bitbucket, etc;
  • Advanced knowledge of SQL;
  • Advanced knowledge in DBT;
  • Experience or knowledge working with Databricks;
  • Knowledge of algorithms and data structures;
  • Have experience with technologies such as Spark, Kafka, Presto, and/or Airflow and feel confident creating aggregated datasets.
  • Experience with data warehouses such as Google BigQuery, Redshift, and/or Snowflake is required.
  • Have experience with Infrastructure as Code (IaC) tools, such as Terraform.
  • Have experience with cloud infrastructure (AWS, GCP, etc.)
  • Have experience with cloud data processing (AWS, GCP, Azure, Snowflake, Databricks)
  • Certification in public cloud platforms (AWS, Azure, Snowflake, Databricks, GPC) at the Associate level or equivalent.

Applicants must be U.S. citizens to be eligible for this role.

Why Indicium AIย 

  • Fast-growing start-up organisation with huge opportunity for career growth
  • Highly competitive salary package along with company bonus
  • A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one!
  • Financially backed business meaning security and support for new initiatives and global market expansion
  • Pick your own Gear! Macbooks, PCs, Accessories!
  • Drive your development with a personal learning budget.

The anticipated base salary range for this role is $120,000 - $160,000. In addition to base pay, this position may be eligible for an annual discretionary bonus. An individual's final salary offer will be determined based on a variety of factors, including geographic location, experience, specialized skills, and qualifications. This compensation range is subject to updates or modifications at the company's discretion