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Financial Data Engineer Remote Jobs in Missouri (NOW HIRING)

$112K - $148K/yr

Additional tasks may be assigned Addendum SENIOR BIG DATA SOFTWARE ENGINEER * Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache Spark, Python, and Scala.

Data Engineer-US

Columbia, MO · On-site +1

$109K - $130K/yr

... in financial services, insurance technology, and enterprise software. We partner directly with ... Columbia, MO (Hybrid - 1 week in office, 1 week remote) Experience: 4+ years Schedule: Full-time, ...

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to ...

$81K - $111K/yr

... remote-first international environment. This is an ideal role for a hands-on data engineering ... Experience with loyalty, retail, QSR, financial services, or subscription-based customer datasets ...

New

$53.75 - $70.25/hr

The engineer will lead technical delivery for firewalls, remote access, SASE, network segmentation ... Design, deploy, configure, and support next-generation firewalls across data centers, retail ...

Manual Test Engineer Location: Remote - U.S. About Us : Known for "Delighting the Client" through ... Ability to coordinate test data needs with business, technical, and data conversion teams

Build and maintain data pipelines, APIs, and discovery patterns (e.g., ServiceNow Discovery, SCCM, Jamf) to ensure seamless, real-time tracking of the entire software asset lifecycle * Engineer ...

Leverage critical thinking, experimentation, data, end-user feedback and industry best practices to ... Contribute to platform engineering and software standards * Continuously develop self and support ...

New

$95K - $131K/yr

Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient ...

Stefanini is looking for a Security Engineer - Remote . For quick Apply, please reach out to ... markets, including financial services, manufacturing, telecommunications, chemical services ...

Stefanini is looking for a Security Engineer - Remote . For quick Apply, please reach out to ... markets, including financial services, manufacturing, telecommunications, chemical services ...

Stefanini is looking for a Security Engineer - Remote . For quick Apply, please reach out to ... markets, including financial services, manufacturing, telecommunications, chemical services ...

$90K - $120K/yr

... financial data. You'll work extensively with Swift and SwiftUI while integrating secure wallet ... You'll join a fast-moving remote startup environment where autonomy, technical ownership, and ...

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Showing results 1-20

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 Missouri?

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

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

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

Senior Data Engineer (Remote)

Remote


Kohl's
Retail • 10K+ employees

5.8

Company rating: 5.8 out of 10

Based on 1,471 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores

Recommended by students

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Recommended by parents


$112K - $148K/yr

Full-time

Re-posted 17 days ago


Job description

Role Specific Information

Job Description

About the Role

As Senior Software Engineer, you will collaborate closely with design, product and engineering experts to tackle real-world challenges and deliver innovative solutions that elevate Kohl's retail offerings.

What You'll Do

  • Lead the development of high-quality applications that are robust, observable and measurable using extreme programming (XP) practices and a user-centric approach

  • Participate in the entire application lifecycle in collaboration with designers, product managers, and other engineers on the product team

  • Leverage critical thinking, experimentation, data, and industry best practices to implement desired business outcomes

  • Facilitate group discussions and team ceremonies and develop a shared context

  • Give and receive feedback that's empathetic, actionable and specific

  • Practice emergent architecture with sane defaults and build software that is easy to use and easy to modify

  • Establish and lead product engineering and software standards

  • Ideate a new product from a user perspective, starting with one or more problem spaces and ending with a stack-ranked list of feasible solutions to test

  • Research and stay up to date on tech market trends and practices

  • Lead technical initiatives not only on the team but also across the department

  • Additional tasks may be assigned

Addendum

SENIOR BIG DATA SOFTWARE ENGINEER

  • Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache Spark, Python, and Scala.

  • Build and manage cloud-based data ecosystems on GCP (BigQuery, Bigtable, Dataproc, Pub/Sub, Cloud Storage, IAM, VPC).

  • Design and optimize SQL and NoSQL data models for data lakes and warehouses (BigQuery, MongoDB, Snowflake).

  • Write complex SQL queries for advanced data transformation, aggregation, and analytics optimization within BigQuery or equivalent platforms.

  • Apply modern Test-Driven Development (TDD) methodologies for big data pipelines, ensuring test automation across Airflow workflows, Spark jobs, and transformation logic.

  • Apply data mesh and data-as-a-product principles to enable reusable and domain-driven datasets.

  • Implement real time ingestion with Kafka Connect and process streaming data using Spark Streaming, Apache Flink, or similar technologies

  • Optimize data performance, scalability, and cost efficiency across GCP components.

  • Ensure compliance with PCI and PII data with standards such as GDPR, PCI DSS, SOX, and CCPA.

  • Integrate GenAI tools such as OpenAI, Gemini, and Anthropic LLMs for intelligent data quality and analytics enhancement.

  • Collaborate with stakeholders, data scientists, and full stack engineers to deliver trusted, documented, and reusable data products

What Skills You Have

Required

  • 4+ years of experience in software development

  • Understanding of application design patterns, event-driven architecture, database, schemas and testing strategies

  • In-depth knowledge and experience with continuous integration, continuous deployment and test-driven development

Preferred

  • Bachelor's Degree or equivalent in MIS, Computer Science or related field

  • Experience with large-scale application troubleshooting and performance tuning

  • Exposure working with major cloud platforms (GCP, AWS, or Azure)

  • Familiarity and experience with XP (Extreme Programming)

Essential Functions

The requirements listed below are representative of functions you will be required to perform, however you may be required to perform additional functions. Kohl's may revise this job description from time to time. To perform this job successfully, you must be able to perform each essential function satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, absent undue hardship.

  • Ability to perform the accountabilities listed in the "What You'll Do" Section

  • Ability to comply with dress code requirements

  • Basic math and reading skills, legible handwriting, and basic computer operation

  • Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the company

  • Ability to learn and comply with all company policies, procedures, standards and guidelines

  • Ability to give direction and to receive, understand and proactively respond to direction from leadership and other company personnel

  • Ability to work as part of a team and interact effectively and appropriately with others

  • Ability to maintain composure and work in a fast paced environment while accomplishing multiple tasks within established timeframes

  • Ability to satisfactorily complete company training programs

  • Ability to use a personal computer for tasks such as communicating, preparing reports, etc.

  • Ability to plan, prioritize and monitor activities across business units

  • Ability to complete or oversee the completion of assigned projects in a timely manner



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