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Financial Data Engineer Remote Jobs in Minnesota

Metropolitan Council

Principal Data Engineer

Saint Paul, MN · On-site +1

$101K - $163K/yr

... remote and onsite). Candidate's permanent residence must be in Minnesota or Wisconsin. What you ... Represent data engineering in strategic planning. Lead the design and architecture of enterprise ...

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)

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)

Frch Nelson

Data Engineer

Minneapolis, MN · On-site +1

$75K - $145K/yr

The Data Engineer will play a critical role in developing the data infrastructure that supports ... data, finance/resourcing/reforecasting data, IoT/sensor data). * Build and optimize data ...

Kobie Marketing

Sr. Data Engineer

Minneapolis, MN · Remote

$110K - $150K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Our Data Engineering team builds and maintains the operational data foundation that powers real ...

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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 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 Minnesota? The most popular types of Financial Data Engineer jobs in Minnesota are:
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Financial Data Engineer Remote jobs near you
GCP/Linux Data Engineer (Remote)

GCP/Linux Data Engineer (Remote)

Da Vinci Software

Rochester, MN • Remote

$111K - $134K/yr

Full-time

Posted yesterday

Job description

Overview:
Our client is seeking resources that will be supporting an engineering team tasked with building a research data platform which will ingest and make discoverable research generated data. 
Key Responsibilities:
  • Data Engineering Skills & Experience: 
  • Create, verify, and maintain data replication scripts
  • Create, verify, and maintain data validation, processing, and ingestion pipelines
  • Deploy and automate the execution of data replication scripts and data pipelines in cloud infrastructure
  • Create and maintain data catalogs that describe datasets and their contents (i.e. files, file types, tables/views, columns, fields, etc.)
  • Create, verify, and maintain dashboards and reports that characterize ingested datasets
  • Create, verify, and maintain data validation scripts/APIs that verify the production dataset contains the correct number of samples/records, expects values/fields/columns are populated, and values are of the correct data type, format, and range.
  • Deploy and automate the execution of data validation scripts/APIs
  • Create and maintain user documentation (dataset descriptions, tutorials, code examples, etc.)
  • Define entitlements, user groups, roles, and permissions utilized to grant access to datasets Programming Languages:
Position Requirements:
  • Strong GCP 
  • Linux system administration and scripting 
  • Pro Desk API
  • Required qualifications for this position include: Bachelor's Degree in Computer Science/Engineering or related field with 5 years of experience as noted below; OR an Associate's degree in Computer/Science/Engineering or related field with 7 years of experience.
  • Have in-depth knowledge of software engineering with experience coding applications or services in a high-level language (C, C++, Golang, Java, C# etc.) and a basic knowledge of related fields.
  • Demonstrated problem solving and time management skills.
  • Possesses strong technical aptitude for designing and implementing software solutions. Experience with modern application development frameworks
  • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Deep hands-on technical expertise, excellent verbal and written communication skills.
  • Experience with Agile software development techniques.
 
Additional Information:
  • Fully Remote
  • W2 Candidates Only
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About Da Vinci Software

Sourced by ZipRecruiter

Who We Are We are a software company that strives to build sustainable relationships through the delivery of innovative solutions. Agile software development is at the heart of 'how we work' which allows us to bring people together for strong collaboration and problem solving. What We Do We provide enterprise-level agile coaching and development services. The Da Vinci Agile Coaching model is built on four pillars that ensure successful adoption and scale across an organization. The enterprise framework we have built supports this foundation through recognition of, and integration with, legacy processes. We passionately believe 'how we work' is the intangible our developers demonstrate for our clients every day. Our high-performing team members provide leadership and chemistry on your teams. We provide architects, developers and testers that enjoy accountability, team success and delivering meaningful products.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Burnsville, MN, US

Year founded

2008

Social media

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