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Sql Developer Data Engineer Jobs in Arkansas (NOW HIRING)

The SQL Engineer - Level 3 is a senior individual contributor responsible for designing, developing, optimizing, and maintaining complex SQL-based data solutions. This role operates with a high ...

The SQL Engineer - Level 3 is a senior individual contributor responsible for designing, developing, optimizing, and maintaining complex SQL-based data solutions. This role operates with a high ...

Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

Optimize Spark jobs, SQL queries, and data processing workflows for speed, efficiency, and cost ... Programming: Strong proficiency in Python, SQL, and potentially Scala/Java. Big Data: Expertise in ...

Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

... SQL queries • Build and maintain data pipelines feeding AI/ML feature stores and forecasting models • Collaborate with AI Developers to ensure high-quality, low-latency data access for model ...

$109K - $131K/yr

Utilize SQL and Python for ETL, data manipulation, analysis, and process automation. * Implement ... Expertise in setting up CI/CD pipelines and DevOps for data projects (e.g. GIT, Terraform, etc.

Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

Must be good in advanced SQL querying having working knowledge of data structures * Workable knowledge of GCP and SQL server * Must be well versed in Agile methodology & Software Engineering best ...

Data Engineer I

El Dorado, AR

$101K - $122K/yr

Python, SQL, PySpark) Experience in the use of Infrastructure as Code tools (Databricks Asset ... DevOps tools to automate deployment and validation/test automation of data engineering pipelines.

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

Develop and maintain BigQuery data models, schemas, and performance-optimized SQL queries * Build ... Collaborate with AI Developers to ensure high-quality, low-latency data access for model training

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

GCP Data Engineer KEY RESPONSIBILITIES * Design and build scalable ETL/ELT pipelines using Apache ... Develop and maintain BigQuery data models, schemas, and performance-optimized SQL queries * Build ...

Cloud Data Engineer

Fayetteville, AR · On-site

$109K - $131K/yr

The Cloud Engineer will be a foundational hire to build our next generation data platform powering ... Develop transformation pipelines using SQL, dbt, or Dataform, with strong attention to modularity ...

In depth knowledge of multiple data sources, data design patterns, ETL transformation, SQL and ... Experience with DevOps, including CI/CD pipelines, containerized deployment/Kubernetes, and ...

... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks - Improving Cloud resources for cost, performance, and scalability - Proficiency in SQL and ...

... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks - Improving Cloud resources for cost, performance, and scalability - Proficiency in SQL and ...

You Are A hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine ... Minimum of 5 years of experience with SQL, data modeling, and building data pipelines. * Minimum of ...

Lead Data Engineer

Bentonville, AR · Remote

$89K - $118K/yr

Lead Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to ... SQL, Python * Data governance, security, and compliance concepts * Data Ingestion * Incremental and ...

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Sql Developer Data Engineer information

What is the difference between Sql Developer Data Engineer vs Data Analyst?

AspectSql Developer Data EngineerData Analyst
Required SkillsSQL, ETL, data modeling, programming (Python, Java)Data visualization, statistical analysis, SQL
CertificationsSQL certifications, cloud platform certificationsData analysis or visualization certifications
Work EnvironmentData pipelines, database management, cloud platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

The Sql Developer Data Engineer focuses on building and maintaining data pipelines, databases, and infrastructure, often working with large-scale data systems. Data Analysts interpret data, create reports, and provide insights for decision-making. While both roles require SQL skills, Data Engineers typically have more programming and system architecture responsibilities, whereas Data Analysts focus on data interpretation and visualization.

What is a SQL developer data engineer?

SQL Developer Data Engineers are technology professionals who design, develop, and maintain databases and data pipelines using SQL and related tools. They are responsible for extracting, transforming, and loading (ETL) data to ensure it is accessible, reliable, and optimized for analysis and reporting. These engineers collaborate with other IT and business teams to support data-driven decision-making, improve data quality, and implement data security measures. Their work is crucial for organizations that rely on large amounts of data for their operations and analytics.

What are the key skills and qualifications needed to thrive as an SQL developer data engineer, and why are they important?

To thrive as an SQL Developer/Data Engineer, you need strong proficiency in SQL, database design, data modeling, and a relevant degree in computer science or a related field. Familiarity with ETL tools, data warehousing solutions, and platforms like Microsoft SQL Server, Oracle, or cloud-based databases, as well as certifications such as Microsoft Certified: Azure Data Engineer Associate, are often required. Analytical thinking, problem-solving, and effective communication are vital soft skills for collaborating with stakeholders and translating business requirements into technical solutions. These skills and qualities enable efficient data management, reliable data pipelines, and actionable insights that drive business decisions.

How do SQL developer data engineers typically collaborate with data analysts and other stakeholders within a company?

SQL Developer Data Engineers frequently work closely with data analysts, business intelligence teams, and other stakeholders to ensure data is accessible, reliable, and optimized for analysis. They are responsible for designing and maintaining the data infrastructure, writing complex queries, and translating business requirements into technical solutions. Regular meetings and clear communication are essential, as they often need to explain technical concepts to non-technical team members and incorporate feedback to refine data models or reporting systems. This collaborative environment enables efficient data-driven decision-making across the organization.

What are popular job titles related to Sql Developer Data Engineer jobs in Arkansas?

For Sql Developer Data Engineer jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Sql Developer Data Engineer jobs in Arkansas look for?

The top searched job categories for Sql Developer Data Engineer jobs in Arkansas are:

Infographic showing various Sql Developer Data Engineer job openings in Arkansas as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

SQL Engineer III

MEDEVOLVE INC

Little Rock, AR • On-site

Full-time

Posted 21 days ago


Job description

The SQL Engineer - Level 3 is a senior individual contributor responsible for designing, developing, optimizing, and maintaining complex SQL-based data solutions. This role operates with a high degree of autonomy, serves as a subject matter expert in database and query performance, and influences data standards, architecture decisions, and best practices across teams.


Essential Functions

Design, develop, and maintain advanced SQL queries, views, functions, and stored procedures supporting mission-critical systems

Install, configure, and maintain Microsoft SQL Server instances

Optimize database and query performance through indexing, execution plan analysis, and schema improvements

Lead complex data modeling and transformation efforts for transactional and analytical use cases

Ensure data accuracy, integrity, and consistency across databases and data pipelines

Partner with engineering, ETL, BI, and product teams to define scalable data solutions

Troubleshoot and resolve complex data quality, performance, and reliability issues

Establish and promote SQL development standards, best practices, and documentation

Contribute to architecture reviews and long-term data platform strategy

Support data governance, security, and compliance requirements, including those applicable to regulated environments

Knowledge, Skills, and Abilities

Expert-level proficiency in SQL, including complex joins, CTEs, window functions, and performance tuning

Deep understanding of relational database design, normalization, indexing, and query optimization

Experience with Microsoft Azure

Strong experience working with large datasets and complex schemas

Ability to design scalable, high-performance data solutions

Strong analytical, troubleshooting, and problem-solving skills

Ability to influence technical standards and mentor peers

Effective communication skills with both technical and business stakeholders


Education and Experience

Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience

Significant experience in SQL engineering, data engineering, or database development

Demonstrated ability to independently lead complex technical work

Conditions & Scope

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Primarily a sedentary, computer-based role

Regular access to sensitive and confidential data

May support systems requiring availability during critical business operations


Measures of Success

Performance, reliability, and scalability of SQL-based solutions

Accuracy and consistency of enterprise data

Reduction in data incidents and performance bottlenecks

Positive technical influence and mentorship impact

Adoption of standards and best practices across teams