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

ETL Developer III

Little Rock, AR · On-site

$96K - $143K/yr

The ETL Developer III is a senior-level technical expert responsible for designing, developing, testing, and optimizing complex Extract, Transform, and Load (ETL) data pipelines to support company ...

ETL Developer III

Little Rock, AR · On-site +1

$96K - $143K/yr

The ETL Developer III is a senior-level technical expert responsible for designing, developing, testing, and optimizing complex Extract, Transform, and Load (ETL) data pipelines to support company ...

New

The ETL Developer III is a senior-level technical expert responsible for designing, developing, testing, and optimizing complex Extract, Transform, and Load (ETL) data pipelines to support company ...

New

Here at Molex, we are leading the industry, with our smart data solutions to solve our customers ... Create relationships with senior leadership, cross functional team members and peers through team ...

Here at Molex, we are leading the industry with our smart data solutions that solve our customers ... Create relationships with senior leadership, cross functional team members and peers through team ...

Here at Molex we are leading the industry, with our smart data solutions to solve our customers ... Create relationships with senior leadership, cross functional team members and peers through team ...

AI Solutions Engineering Delivery Lead

Little Rock, AR · On-site

$98K - $129K/yr

... of data scientists, software engineers, front-end developers, and other specialists in the design, development, deployment, monitoring, and maintenance of full-stack AI solutions. As a senior ...

... senior government and joint military personnel on significant technical matters requiring ... Bachelor's degree in Computer Science, Systems Engineering or a related technical discipline and 5+ ...

Showing results 41-60

Senior Data Engineer information

See Austin, AR salary details

$68.6K

$107K

$148.2K

How much do senior data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior data engineer in Austin, AR is $106,962.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,800.00 and $121,900.00 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 popular job titles related to Senior Data Engineer jobs in Austin, AR?

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

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

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

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

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

Managed Services - SAS BI Developer - Senior Associate

Pwc

Little Rock, AR • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Key responsibilities

  • Analyzing complex datasets to extract actionable insights and support data-driven decision-making

  • Developing and implementing data visualization solutions using tools like Power BI and Tableau

  • Managing data integrity and quality to validate reliable and accurate reporting


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Managed Services - SAS BI Developer - Senior Associate, you will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Data, Analytics & AI practice, you will focus on utilizing data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As a Senior Associate, you will build meaningful client connections, anticipate the needs of your teams and clients, and deliver quality solutions. You will navigate increasingly complex situations, growing your personal brand and enhancing your technical skills.
In this role at PwC, you will be part of a dynamic team that focuses on leveraging data to drive insights and make informed business decisions. You will use a broad range of tools and methodologies to generate new ideas and solve problems, while developing a deeper understanding of the business context and how it is evolving. This position offers the opportunity to deepen your skills in data analysis and client support, contributing to optimizing operations and achieving strategic goals.
Responsibilities
- Analyzing complex datasets to extract actionable insights and support data-driven decision-making
- Developing and implementing data visualization solutions using tools like Power BI and Tableau
- Conducting predictive modeling and statistical analysis to identify trends and inform strategic planning
- Collaborating with clients to understand their data needs and deliver tailored analytics solutions
- Managing data integrity and quality to validate reliable and accurate reporting
- Utilizing Microsoft SQL Server Data Tools for efficient data manipulation and analysis
- Creating and maintaining dashboards to track key performance indicators and business metrics
- Leading research initiatives to explore new data analytics methodologies and technologies
- Preparing comprehensive reports and presentations to communicate findings and recommendations
- Supporting the development of data-driven strategies to optimize client operations and achieve business goals
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Utilizing advanced data analysis techniques to drive insights
- Developing complex data models to support business decisions
- Leveraging Power BI and Tableau for impactful data visualization
- Conducting predictive analytics to anticipate client needs
- Excelling in complex data analysis and statistical methodologies

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK