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Financial Data Engineer Remote Jobs in Minnesota

Horizontal Talent

Data Engineer

East Bethel, MN · Remote

$41 - $78/hr

We are seeking a Data Engineer to support data validation, reconciliation, and reporting for a finance data platform modernization initiative. This role focuses on identifying variances between ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst)

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst)

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst)

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Financial Data Engineer Remote information

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 Minnesota?

The most popular types of Financial Data Engineer jobs in Minnesota are:

What are popular job titles related to Financial Data Engineer Remote jobs in Minnesota?

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

What job categories do people searching Financial Data Engineer Remote jobs in Minnesota look for?

The top searched job categories for Financial Data Engineer Remote jobs in Minnesota are:

What cities in Minnesota are hiring for Financial Data Engineer Remote jobs?

Cities in Minnesota with the most Financial Data Engineer Remote job openings:

Financial Data Engineer Remote jobs near you

Data Engineer

Horizontal Talent

East Bethel, MN • Remote

$41 - $78/hr

Full-time

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking a Data Engineer to support data validation, reconciliation, and reporting for a finance data platform modernization initiative. This role focuses on identifying variances between legacy and modern systems, helping improve data quality, and supporting go-live readiness through clear analysis and collaboration across technical and business teams.

Responsibilities
  • Build and run queries to compare legacy and modern datasets and identify data variances.
  • Create reports and dashboards to highlight discrepancies, trends, and reconciliation results.
  • Support source-to-target reconciliation, duplicate detection, control total checks, and business rule validation.
  • Analyze mapping documents, reporting requirements, transformation logic, and data lineage to support validation efforts.
  • Document variances, root causes, exception findings, defect logs, and sign-off materials in partnership with stakeholders.
  • Collaborate with product, engineering, finance, business, and legacy system teams to resolve issues and support go-live decisions.
  • Assist with determining tolerance thresholds and readiness for parallel operations and production launch.
  • Contribute to iterative delivery in an agile environment, including sprint ceremonies and defect triage.
Skills
  • 5+ years of hands-on SQL experience with big data platforms or databases such as Google BigQuery, Hadoop, or similar tools.
  • Strong background in ETL and data pipeline tools such as Dataproc, Airflow, Dataform, dbt, or comparable technologies.
  • Experience using Python and/or PySpark for data movement, analysis, and validation.
  • Proven experience in data analysis, data quality validation, and reconciliation across systems.
  • Ability to work with visualization and reporting tools such as Power BI, Looker, or LookML.
  • Strong communication and collaboration skills with the ability to work across technical and business teams.
  • Experience creating documentation that supports validation, issue tracking, and business approvals.
  • 5+ years working in a data analytics role.
  • 1–3 years of experience working on agile teams.
Preferred Skills
  • Experience in the retail industry, especially across finance, supply chain, merchandising, inventory, stores, sales, digital, product, or customer domains.
  • Familiarity with Google Cloud medallion data architecture and GCP-supported data processing tools.
  • Experience with SAP S/4 data structures and finance reporting.
  • Background supporting dashboard development, KPI reconciliation, and semantic layer validation.
  • Experience working in a modern data platform migration or parallel run environment.
  • Comfort working in a fast-paced, collaborative setting with evolving priorities.

Horizontal is committed to creating an inclusive environment where diverse perspectives are valued and everyone has the opportunity to thrive. We welcome candidates from all backgrounds and are dedicated to equity, belonging, and respect throughout the hiring process.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.


Please apply through this online posting or by visiting our Job Board at www.horizontaltalent.com/job-board. Applications will be accepted for 4 weeks. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $41 - $78 per hour based on qualifications and experience.

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