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Financial Data Engineer Remote Jobs in Columbus, OH

OPERS

Lead Data Engineer

Columbus, OH · Hybrid

$111K - $139K/yr

The opportunity to work in a hybrid environment with up to 3 days remote! Who We Are Since 1935 ... Benefit from a competitive Total Rewards Package that includes access to financial and personal ...

giftHEALTH Inc

Senior Data Engineer

Columbus, OH · On-site

$123K - $138K/yr

Position Summary The Sr. Data Engineer is responsible for leading the design and architecture of ... Location : Remote Employment Classification Status: Full-time FLSA: Exempt Equal Employment ...

Gifthealth Inc

Senior Data Engineer

Columbus, OH · Remote

$123K - $138K/yr

Position Summary The Sr. Data Engineer is responsible for leading the design and architecture of ... Location : Remote Employment Classification Status: Full-time FLSA: Exempt Equal Employment ...

Gifthealth

Senior Data Engineer

Columbus, OH · On-site

$123K - $158K/yr

Position Summary The Sr. Data Engineer is responsible for leading the design and architecture of ... Location : Remote Employment Classification Status: Full-time FLSA: Exempt Equal Employment ...

Genesis10

Lead Data Engineer

Columbus, OH

$60 - $68/hr

Genesis10 is seeking a Lead Data Engineer. This is a hybrid 3-month contract-to-hire position with ... Financial Services Background Only candidates available and ready to work directly as Genesis10 ...

Apex Systems

Data Engineer (Lead)

Columbus, OH

$107K - $128K/yr

Job#: 3030434 Data Engineer (Lead) Location: Columbus, Ohio (Onsite)- 4 days a week of onsite ... Experience in the Financial Services industry. * Proven ability to lead cross-functional teams.

Lower LLC

Senior Data Engineer

Columbus, OH · On-site

$102K - $139K/yr

As a Data Engineer, you will help build, maintain, and improve the data infrastructure that powers reporting, analytics, operations, marketing, finance, product, and executive decision-making across ...

Lower LLC

Senior Data Engineer

Columbus, OH

$102K - $139K/yr

As a Data Engineer, you will help build,maintain, and improve the data infrastructure that powers reporting, analytics, operations, marketing, finance, product, and executive decision-making across ...

iSpace, Inc

Data Engineer/Analyst

Raymond, OH · Hybrid

$57/hr

Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote) Contract Duration: 14+ months Rate: $57/hr on W2 What will this person be working on In this role, person will be responsible for ...

Vertiv Co

Data Engineer - Cloud/AI

Westerville, OH

$110K - $132K/yr

Job Summary As a Data Engineer - Cloud/Gen AI , you will be responsible for designing, building ... Financial Strength OUR BEHAVIORS Own It Act With Urgency Foster a Customer-First Mindset Think Big ...

Vertiv Group Corp.

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

Job Summary As a Data Engineer - Cloud/Gen AI , you will be responsible for designing, building ... Financial Strength OUR BEHAVIORS • Own It • Act With Urgency • Foster a Customer-First ...

Kemper

Senior Data Engineer

Columbus, OH · On-site +1

$102K - $139K/yr

Kemper is seeking a Data Engineer 4 to design, develop, and optimize enterprise data solutions that ... Remote working arrangements may be available to non-local candidates. The range for this position ...

Judge Group, Inc.

GOOGLE Data Architect

Columbus, OH · Remote

$75 - $85/hr

Columbus, OH (4 days onsite, 1 day remote) Type: 3+ Months Contract to Hire Overview: We're looking ... Mentor teams and drive best practices in data engineering and architecture Required Qualifications ...

Saransh Inc

Okta Engineer - Remote

Columbus, OH · On-site

Okta Engineer Work Location: Columbus, OH or Plano, TX or Remote Duration: Long Term The Engineer ... Conduct data analysis exercises using Excel Pivot Tables, database queries, and other data driven ...

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Financial Data Engineer Remote information

See Columbus, OH salary details

$43K

$125.3K

$171.4K

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

As of Jun 14, 2026, the average yearly pay for financial data engineer remote in Columbus, OH is $125,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $132,800.00 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 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 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 Columbus, OH? The most popular types of Financial Data Engineer jobs in Columbus, OH are:
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What cities near Columbus, OH are hiring for Financial Data Engineer Remote jobs? Cities near Columbus, OH with the most Financial Data Engineer Remote job openings:
Financial Data Engineer Remote jobs near you

Data Engineer - Data Engineering

Futran Tech Solutions Pvt. Ltd.

Columbus, OH • On-site

$110K - $132K/yr

Full-time

Posted 4 days ago

Job description

Client - Lululemon
Data Engineer - Data Engineering
Location: Columbus, Ohio (On-site / Hybrid)
Role Type: Individual Contributor
Role Summary We are seeking a skilled Data Engineer with 5 years of hands-on experience building and maintaining robust data pipelines, data lakes, and analytical platforms. Based in Ohio, this is an individual contributor role with direct engagement with business stakeholders across lululemon's Ohio-based operations. The successful candidate will own end-to-end data engineering deliverables independently, translating business requirements into scalable, production-grade data solutions that power analytics and AI/ML workloads.
Key Responsibilities
  • Design, build, and maintain scalable ETL/ELT pipelines using Python, Apache Spark, and Azure Data Factory to ingest data from diverse retail and operational sources into a centralised data lake (Microsoft Fabric / OneLake)
  • Engage directly with Ohio-based business teams (supply chain, store operations, finance, and merchandising) to gather data requirements, understand domain logic, and translate business needs into well-defined data models and pipeline specifications
  • Independently own the full data engineering lifecycle for assigned domains - from requirements gathering and data modelling through to pipeline deployment, monitoring, and ongoing optimisation
  • Build and manage Bronze, Silver, and Gold data layers in the lakehouse architecture, applying data quality checks, schema validation, and partitioning strategies to ensure reliable, performant datasets for downstream analytics and ML teams
  • Participate actively in agile ceremonies (sprint planning, stand-ups, retrospectives), self-manage delivery against sprint commitments, and proactively surface risks or blockers without requiring escalation
  • Implement and enforce data quality frameworks, lineage tracking, and cataloguing standards using Microsoft Purview, ensuring datasets meet governance and compliance requirements (GDPR, CCPA)
  • Support and contribute to Global Fulfillment and supply chain data initiatives, acting as the primary data engineering liaison for Ohio-based operational teams and ensuring timely delivery of data products that enable real-time decision-making
  • Stay current with emerging data engineering tools, patterns (e.g. data mesh, streaming architectures), and Microsoft Fabric capabilities; apply relevant advancements to continuously improve the data platform
    Qualifications
  • 5+ years of hands-on experience as a Data Engineer, with a proven track record of independently delivering production-grade data pipelines and data products in a cloud-based environment
  • Proficiency in Python and SQL for data transformation, with hands-on experience using Apache Spark (PySpark) for large-scale batch and streaming data processing
  • Solid understanding of data modelling concepts (dimensional modelling, star/snowflake schema, data vault) and experience building lakehouse architectures with Delta Lake or Apache Iceberg
  • Demonstrated ability to work directly with non-technical business stakeholders - gathering requirements, explaining data concepts in plain language, and iterating quickly on feedback to deliver business value
  • Experience with version control (Git), CI/CD pipelines, and DataOps practices - including automated testing of data pipelines and Infrastructure-as-Code (Terraform or Bicep)
  • Familiarity with data governance frameworks, data cataloguing (Microsoft Purview or Apache Atlas), and implementing data quality rules and observability monitoring within pipelines
  • Strong analytical mindset, attention to detail, and self-starter attitude - comfortable driving work forward independently in a fast-paced retail technology environment with minimal day-to-day supervision

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