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Senior Financial Data Engineer Jobs in Springdale, AR

WorkNovas LLC

Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

As a Senior Data Engineer, you will. Design, develop, and maintain ETL/ELT data pipelines for batch and real-time data ingestion, transformation, and loading using Spark (PySpark/Scala) and streaming ...

Accenture

Google Senior Data Engineer

Bentonville, AR · On-site

$94K - $266K/yr

The Work (What You Will Do) As a GCP Senior Data Engineer, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and ...

Pwc

Data Engineer - Senior Associate

Fayetteville, AR

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Manager

Fayetteville, AR · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Walmart

(USA) Senior, Data Engineer

Bentonville, AR · On-site

$117K - $234K/yr

As a Senior Data Engineer, you will design, develop, and maintain scalable data pipelines and ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

Senior, Data Engineer

Bentonville, AR · On-site

$92K - $126K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

Winaxis

Sr. Data Engineer with GCP

Bentonville, AR · On-site

$60/hr

Senior Data Engineer (GCP) - Location: Bentonville, AR or Sunnyvale, CA (Day 1 onsite) - Citizenship: US Citizen only - Experience: 12+ years overall; 4+ years recent GCP - Rate: $60/hr on C2C ...

Apex Systems

Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

Coming to you with an exclusive project looking for Google Cloud Platform Data Engineer's, three ... layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K ...

Tyson Foods

Data Engineer I

Springdale, AR · On-site

$101K - $121K/yr

This role works closely with Operations, Engineering, Maintenance, Supply Chain, Finance, Procurement, and Information Technology teams to ensure enterprise data remains accurate, reliable, and ...

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All JobsFinancial Data Engineer JobsSenior Financial Data Engineer JobsSenior Financial Data Engineer Jobs in Springdale, AR

Senior Financial Data Engineer information

See Springdale, AR salary details

$71.6K

$111.7K

$154.8K

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

As of Aug 16, 2026, the average yearly pay for senior financial data engineer in Springdale, AR is $111,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $127,300.00 per year, depending on experience, location, and employer.

What is the difference between Senior Financial Data Engineer vs Financial Data Engineer?

AspectSenior Financial Data EngineerFinancial Data Engineer
Required CredentialsBachelor's/Master's in Computer Science, Finance, or related; experience in data engineeringBachelor's in relevant field; entry-level experience in data engineering
Work EnvironmentFinancial institutions, investment firms, banksFinancial firms, fintech companies, data consultancies
Employer & Industry UsageUsed in finance-heavy roles requiring advanced data skillsEntry to mid-level roles in finance and data sectors

The main difference is experience level and responsibility. Senior Financial Data Engineers handle complex data projects, mentor teams, and have more strategic input, while Financial Data Engineers focus on building and maintaining data pipelines at an entry or mid-level. Both roles require strong technical skills and finance industry knowledge, but the senior role involves leadership and advanced problem-solving.

What are the key skills and qualifications needed to thrive as a senior financial data engineer, and why are they important?

To thrive as a Senior Financial Data Engineer, you need advanced knowledge in data engineering, financial data modeling, and programming languages such as Python or Scala, usually supported by a degree in computer science, finance, or a related field. Familiarity with big data platforms (like Hadoop or Spark), cloud services (AWS, Azure, or GCP), and data warehousing solutions, along with certifications in relevant technologies, are typically required. Strong problem-solving, communication, and project management skills distinguish top performers in this role. These competencies are crucial for efficiently transforming complex financial data into actionable insights and ensuring accuracy, security, and scalability in financial systems.

What does a senior financial data engineer do?

A Senior Financial Data Engineer designs, builds, and manages data infrastructure specifically for financial systems and organizations. They work with large volumes of financial data, ensuring its quality, security, and accessibility for analysis and reporting. This role often involves collaborating with data scientists, analysts, and business stakeholders to create pipelines and tools that support financial modeling, risk assessment, and business intelligence. Senior Financial Data Engineers also play a key role in implementing best practices for data governance and regulatory compliance.

How does a senior financial data engineer typically collaborate with cross-functional teams in a financial organization?

A Senior Financial Data Engineer often works closely with data analysts, financial modelers, software developers, and business stakeholders to design and implement robust data pipelines and solutions. Collaboration involves translating business requirements into technical specifications, ensuring data quality and compliance, and enabling seamless data integration across platforms. Regular meetings and agile ceremonies are common, fostering open communication and fast adaptation to changing business needs. This cross-functional teamwork is crucial for delivering accurate, timely financial insights and supporting strategic decision-making.

What are popular job titles related to Senior Financial Data Engineer jobs in Springdale, AR?

For Senior Financial Data Engineer jobs in Springdale, AR, the most frequently searched job titles are:

What job categories do people searching Senior Financial Data Engineer jobs in Springdale, AR look for?

The top searched job categories for Senior Financial Data Engineer jobs in Springdale, AR are:

Senior Financial Data Engineer jobs near you
Infographic showing various Senior Financial Data Engineer job openings in Springdale, AR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $111,717 per year, or $53.7 per hour.

Data Engineer

WorkNovas LLC

Bentonville, AR • On-site

$100K - $120K/yr

Contractor

Re-posted 13 days ago

Job description

Job Title:    Data Engineer

Location:   Sunnyvale, CA & Bentonville, AR - (On-Site)

 
 

Job Description:-   

Worknovas is looking for a Data Engineer with Spark & Streaming skills builds real-time, scalable data pipelines using tools like Spark, Kafka, and cloud services (GCP) to ingest, transform, and deliver data for analytics and ML.
Responsibilities:
As a Senior Data Engineer, you will.
Design, develop, and maintain ETL/ELT data pipelines for batch and real-time data ingestion, transformation, and loading using Spark (PySpark/Scala) and streaming technologies (Kafka, Flink).
Build and optimize scalable data architectures, including data lakes, data warehouses (BigQuery), and streaming platforms.
Performance Tuning: Optimize Spark jobs, SQL queries, and data processing workflows for speed, efficiency, and cost-effectiveness
Data Quality: Implement data quality checks, monitoring, and alerting systems to ensure data accuracy and consistency.
Programming:
Strong proficiency in Python, SQL, and potentially Scala/Java.
Big Data: Expertise in Apache Spark (Spark SQL, DataFrames, Streaming).
Streaming: Experience with messaging queues like Apache Kafka, or Pub/Sub.
Cloud: Familiarity with GCP, Azure data services.
Databases: Knowledge of data warehousing (Snowflake, Redshift) and NoSQL databases.
Tools:
Experience with Airflow, Databricks, Docker, Kubernetes is a plus..