ZipRecruiter

Log In

1

Manager Data Engineering Jobs in Arkansas (NOW HIRING)

Pwc

Data Engineer - Manager

Fayetteville, AR

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Pwc

Data Engineer - Manager

Little Rock, AR

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

CareAbout

Establish and manage a transparent framework to balance competing data requests, cataloging priorities, and governance needs across Engineering, Medical Economics, Clinical, Quality, and Operations ...

New

Pwc

Data Engineer - Senior Manager

Fayetteville, AR

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Pwc

Data Engineer - Senior Manager

Little Rock, AR

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

OperAxis

Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

... Manage and optimize Cloud Composer DAGs and pipeline orchestration • Implement data quality ... Required : • 3+ years (Intermediate) or 5+ years (Specialist) of data engineering experience • ...

Walmart

(USA) Manager, Data Analytics

Bentonville, AR · On-site

$80K - $155K/yr

Role summary: The (USA) Manager, Data Analytics leads the development and implementation of ... Background in engineering, statistics, computational science, or related quantitative field.

Walmart

(USA) Manager, Data Analytics

Pea Ridge, AR · On-site

$80K - $155K/yr

Role summary: The (USA) Manager, Data Analytics leads the development and implementation of ... Background in engineering, statistics, computational science, or related quantitative field.

Walmart

(USA) Manager, Data Analytics

Decatur, AR · On-site

$80K - $155K/yr

Role summary: The (USA) Manager, Data Analytics leads the development and implementation of ... Background in engineering, statistics, computational science, or related quantitative field.

Walmart

(USA) Manager, Data Analytics

Farmington, AR · On-site

$80K - $155K/yr

Role summary: The (USA) Manager, Data Analytics leads the development and implementation of ... Background in engineering, statistics, computational science, or related quantitative field.

1 point system

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

... Manage and optimize Cloud Composer DAGs and pipeline orchestration • Implement data quality ... of data engineering experience • Hands-on experience with Apache Airflow for pipeline ...

1 point system

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

... Manage and optimize Cloud Composer DAGs and pipeline orchestration • Implement data quality ... of data engineering experience • Hands-on experience with Apache Airflow for pipeline ...

Walmart

(USA) Manager, Data Analytics

Cave Springs, AR · On-site

$80K - $155K/yr

Role summary: The (USA) Manager, Data Analytics leads the development and implementation of ... Background in engineering, statistics, computational science, or related quantitative field.

next page

Showing results 1-20

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Arkansas

Manager Data Engineering information

See Arkansas salary details

$25.6K

$80.3K

$142.2K

How much do manager data engineering jobs pay per year?

As of Jul 27, 2026, the average yearly pay for manager data engineering in Arkansas is $80,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,600.00 and $103,800.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are Manager Data Engineering roles and responsibilities?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a Manager of Data Engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
What are the most commonly searched types of Data Engineering jobs in Arkansas? The most popular types of Data Engineering jobs in Arkansas are:
What are popular job titles related to Manager Data Engineering jobs in Arkansas? For Manager Data Engineering jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Arkansas look for? The top searched job categories for Manager Data Engineering jobs in Arkansas are:
Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Arkansas as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,329 per year, or $38.6 per hour.
Manager of Data Engineering

Manager of Data Engineering

Summit Utilities Inc

Little Rock, AR • On-site

Full-time

Medical, Dental, Vision

Posted 4 days ago

Job description

Join our growing team and discover why Summit Utilities, Inc. continues to earn national and regional recognition as an employer of choice. Our recognitions include Best Places to Work in Maine (2019–2025); Best Places to Work in Arkansas (2020, 2023, 2025); Best Places to Work in Oklahoma (2022–2025); Best Places to Work in Missouri (2023 and 2026); Best Places to Work in Colorado (2025); Forbes America’s Best Small Employers (2023); and, most recently, Proud and Purposeful Employer (2026).


Summit is a growing natural gas utility that’s committed to delivering reliable energy to homes and businesses in Arkansas, Colorado, Maine, Missouri, Oklahoma, and Texas. Being part of the Summit team means embracing excellence and innovation, committing to safety each and every day, and doing all that we can to serve each other, our customers, and the communities where we live. We aim to bring warmth and energy to everything we do.


We are pleased to announce an exciting opportunity for a Manager of Data Engineering (SGL35) to join our team. This hybrid role may be based in one of our offices in Little Rock, Fort Smith, or Fayetteville, Arkansas.

POSITION SUMMARY

A Manager of Data Engineering leads and mentors the data engineering team, overseeing the design, development, implementation, and maintenance of scalable and robust data infrastructure and pipelines. Successful candidates are strategic thinkers, possess strong leadership qualities, and are adept at managing complex data projects in a fast-paced environment. They are responsible for ensuring data quality, integrity, and accessibility across the enterprise. A Manager of Data Engineering collaborates daily with IT leadership, data engineers, scientists, analysts, and business stakeholders to define data strategy, address data needs, and drive data-informed decision-making. They must foster a culture of innovation and continuous improvement within the data engineering team.

PRIMARY DUTIES AND RESPONSIBILITIES

  • Lead, manage, and mentor a team of data engineers and analysts, fostering their professional growth and development.
  • Oversee the architecture, design, and implementation of enterprise-level data warehousing, data lakes, and data pipeline solutions.
  • Define and enforce data engineering best practices, standards, and methodologies.
  • Collaborate with cross-functional teams, including data science, business intelligence, and application development, to understand data requirements and deliver effective solutions.
  • Ensure the reliability, scalability, and performance of data infrastructure and systems.
  • Develop and implement strategies for data quality management, data governance, and data security.
  • Manage the full lifecycle of data engineering projects, including planning, execution, monitoring, and delivery.
  • Evaluate and recommend new technologies, tools, and techniques to enhance data engineering capabilities.
  • Drive automation of data processes to improve efficiency and reduce manual intervention.
  • Communicate effectively with technical teams and business stakeholders regarding project status, risks, and outcomes.
  • Establish and monitor key performance indicators (KPIs) for the data engineering team and data systems.
  • Troubleshoot and resolve complex data-related issues in a timely manner.
  • Develop and manage the budget for the data engineering department.
  • Stay current with industry trends and advancements in data engineering and big data technologies.
  • Champion a data-driven culture within the organization.

EDUCATION AND WORK EXPERIENCE

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related quantitative field is preferred, or a combination of education and equivalent experience.
  • 7+ years’ experience in data engineering, with a proven track record of designing and implementing complex data solutions.
  • 3+ years’ experience in a leadership or managerial role, successfully leading and developing data engineering teams.

KNOWLEDGE, SKILLS, ABILITIES

  • Strong leadership, team-building, and interpersonal skills.
  • Expertise in data modeling, ETL/ELT development, and data warehousing concepts (e.g., Kimball, Inmon).
  • Proficiency in programming languages such as Python, Scala, or Java.
  • Extensive experience with big data technologies (e.g., Apache Spark, Hadoop, Kafka, Flink).
  • Deep understanding of cloud-based data platforms and services (e.g., AWS Redshift, S3, Glue; Azure Synapse, Data Lake Storage, Data Factory; Google BigQuery, Cloud Storage, Dataflow).
  • Proficient in SQL and experience with various database technologies (e.g., relational, NoSQL, columnar).
  • Experience with data pipeline orchestration tools (e.g., Apache Airflow, Prefect, Dagster).
  • Solid understanding of data governance, data quality, data lineage, and data security principles and practices.
  • Excellent problem-solving, analytical, and critical thinking skills.
  • Strong project management skills, with the ability to manage multiple priorities and deadlines.
  • Exceptional communication and presentation skills, with the ability to convey complex technical concepts to non-technical audiences.
  • Experience with DevOps and DataOps methodologies and tools (e.g., CI/CD, infrastructure-as-code).
  • Familiarity with business intelligence tools (e.g., Power BI, Tableau) and their data integration needs.
  • Strategic mindset with the ability to align data engineering initiatives with overall business objectives.

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and/or skills required of all personnel so classified.

Summit offers competitive pay and medical/dental/vision and other benefits that provide flexibility, choice, and support to our employees when they need it most. We understand that home and family are essential pieces of your life, and our benefits are designed to support you both at work and at home.

Summit Utilities, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or protected veteran status and will not be discriminated against on the basis of disability or veteran status.