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Financial Data Engineer Remote Jobs in Kansas (NOW HIRING)

Total Performance Consulting

$98K - $118K/yr

Support data engineering execution across complex application development initiatives, ensuring ... Environment * US-based remote working within PT/ET time zones with the potential for occasional ...

WellSky

Staff Data Engineer

Overland Park, KS · Remote

$2.5K/yr

The Staff Data Engineer is responsible for designing, building, and maintaining scalable data ... This is a remote position. Candidates located within 50 miles of WellSky's headquarters in Overland ...

WellSky

Staff Data Engineer

Overland Park, KS · On-site +1

The Staff Data Engineer is responsible for designing, building, and maintaining scalable data ... This is a remote position. Candidates located within 50 miles of WellSky's headquarters in Overland ...

NinjaOne

Senior Data Engineer

Kansas, KS · On-site +1

$93K - $127K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... We help you prepare for your financial future with our 401(k) plan. * We prioritize your work-life ...

Locatee AG

$125K - $165K/yr

We are looking for a Senior Data Engineer to join our dynamic and growing Data & AI Engineering ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

Locatee Ag

$125K - $165K/yr

We are looking for a Senior Data Engineer to join our dynamic and growing Data & AI Engineering ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

NinjaOne

Senior Data Engineer | Emerging Products

Kansas, KS · On-site +1

$93K - $127K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... We help you prepare for your financial future with our 401(k) plan. * We prioritize your work-life ...

NinjaOne

Senior Data Engineer | Emerging Products

Kansas, KS · On-site +1

$93K - $127K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... We help you prepare for your financial future with our 401(k) plan. * We prioritize your work-life ...

CrowdStrike

CrowdStrike is looking for a Principal Data Engineer with deep expertise in Large Language Models ... Contributions to open-source projects related to data or AI/ML. #LI-DM1 #LI-Remote Benefits of ...

FHI 360

Provides on-site and remote financial technical assistance to country-based staff and provides ... Interprets, analyzes and/or evaluates data, ensures compliance with applicable state and federal ...

FHI 360

Provides on-site and remote financial technical assistance to country-based staff and provides ... Interprets, analyzes and/or evaluates data, ensures compliance with applicable state and federal ...

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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 Kansas?

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

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

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

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

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

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

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

Financial Data Engineer Remote jobs near you

Data Engineer

Remote

Total Performance Consulting
11 - 50 employees
Learn more about Total Performance Consultingexternal

$98K - $118K/yr

Part-time

Posted 20 days ago

Job description

Responsibilities
  • Support data engineering execution across complex application development initiatives, ensuring data models, integrations, and pipelines align with established architectural standards.
  • Collaborate with your engineering teammates to design and build robust data models, stored procedures, and database objects that support application and reporting needs.
  • Develop and maintain SQL Server databases, including schema design, indexing strategies, query optimization, and stored procedures.
  • Work with MongoDB to design document schemas and support NoSQL data access patterns alongside relational workloads.
  • Participate in code and schema reviews, upholding data quality, performance, and consistency standards across the team
  • You will use your software development skills in an agile environment to also develop new data pipelines, APIs, and data management tools and your experience with continuous delivery will support the end-to-end lifecycle.

Languages and Frameworks

  • MS SQL Server, strong production experience with schema design, complex query writing, stored procedure development, indexing, and query performance tuning.
  • MongoDB, hands-on NoSQL experience, including document modeling and integrating with relational systems.
  • Comfortable modeling data across relational and document-based systems, analyzing schemas, and resolving data quality issues.
  • Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric.
  • Python, working proficiency for scripting, automation, and data pipeline support.
  • JS, Node.js, and joi experience a plus.
Tools
  • Experience maintaining projects using a distributed version control system such as Git and GitHub.
  • Experience in automated pipeline deployment and schemas into production environments.
  • You should be experienced with agile methods and the concepts behind continuous delivery.
  • We expect you to be passionate about database modeling, stored procedure writing, pipelines, and APIs, so we want to see your experience with security, testing, performance, JSON, and REST.
  • We are eager to hear about your experience and opinions around data quality, test strategy, and test automation.
Education
  • BS in Computer Science and a minimum of five years of experience delivering production solutions
Focus
  • Minimum 5+ years working in Data Science.
  • We expect you to have a passion and experience in shipping and maintaining production software products.
  • You must have strong verbal and written skills.
  • We are most interested in candidates who want to work in an environment where attention to detail, solving problems, simplicity, quality, and moving quickly are highly prized.
Environment
  • US-based remote working within PT/ET time zones with the potential for occasional travel to L.A., NY or Nashville offices.
  • We foster a service-oriented, highly collaborative environment where teamwork, care, and helping others succeed are highly valued.

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