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Senior Data Engineer Jobs in Centerton, AR (NOW HIRING)

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 ...

Walmart

Senior, Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

Senior, Data Engineer Job Location: 811 Excellence Dr, Bentonville, AR 72716 Duties: Data Strategy: understand, articulate, and apply principles of the defined strategy to routine business problems ...

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 ...

Walmart

Senior Data Engineer

Bentonville, AR · On-site

$107K - $180K/yr

Senior Data Engineer Job Location: 811 Excellence Dr, Bentonville, AR 72716 Duties: Identifiespossible optionsto addressthe businessproblems within one's discipline through analytics, big data ...

Walmart

Senior Data Engineer

Bentonville, AR

$90K - $180K/yr

Senior Data Engineer Job Location: 811 Excellence Dr, Bentonville, AR 72716 Duties: Identifiespossible optionsto addressthe businessproblems within one's discipline through analytics, big data ...

Walmart

Senior Data Engineer

Bentonville, AR

$92K - $126K/yr

Senior Data Engineer Job Location: 811 Excellence Dr, Bentonville, AR 72716 Duties: Data Strategy: understand, articulate, and apply principles of the defined strategy to routine business problems ...

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Senior Data Engineer information

See Centerton, AR salary details

$76.6K

$119.5K

$165.5K

How much do senior data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior data engineer in Centerton, AR is $119,466.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $136,200.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineer jobs in Centerton, AR?

The most popular types of Data Engineer jobs in Centerton, AR are:

What cities near Centerton, AR are hiring for Senior Data Engineer jobs?

Cities near Centerton, AR with the most Senior Data Engineer job openings:

Senior Data Engineer jobs near you

Data Engineer

WorkNovas LLC

Bentonville, AR • On-site

$100K - $120K/yr

Contractor

Re-posted yesterday

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..