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

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 ...

About the Role As a Senior Data Analyst, you will lead reporting and analytics initiatives for ... Collaborate with Product and Engineering teams to understand measurement products and help shape ...

Sr. Project Engineer

Little Rock, AR · On-site

$95K - $123K/yr

Overview: The Sr. Project Engineer role will oversee and execute the project controls and ... Direct Field Engineers to gather and prepare data for submittal or transmittal to the customer ...

Senior Integration Engineer Business Systems Company: Priority Wire & Cable, Inc. | Department ... Create data mappings and transformations for customers, products, pricing, inventory, purchase ...

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 ...

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... Senior level engineering professional providing technical direction required for production and ...

LiveRamp is the data collaboration platform of choice for the world's most innovative companies. A ... LiveRamp is looking for a Senior Software Engineer to help shape the next generation of Data ...

Senior Industrial Wastewater Engineer

Little Rock, AR · On-site +1

$41 - $56/hr

Senior Industrial Wastewater Engineer Location: Nationwide | Remote or Hybrid Eligible Terracon ... Data analysis and evaluation * Mass balance and process loading calculations * Treatment technology ...

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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:

Sr. Data Architect, AI & Analytics Platforms

Avery Dennison

Little Rock, AR • On-site, Remote

$60.50 - $80.75/hr

Full-time

Medical, Retirement, PTO

Posted 20 days ago


Avery Dennison rating

8.9

Company rating: 8.9 out of 10

Based on 61 frontline employees who took The Breakroom Quiz

7th of 122 rated packaging manufacturers


Job description

Company Description
Why join Avery Dennison:
We are a global materials science and digital identification solutions company with locations in over 50 countries, and approximately 35,000 employees worldwide. As a science and innovation company, we believe that diverse teams are stronger teams. We are committed to fostering a culture of curiosity and courage, where you can grow your career with a company that has innovation in its DNA. Founded on creating real-world impact to enable a better future, we strive to provide an open, collaborative culture where diversity of thought is encouraged and respected. Hear from our employees about what it's like working at Avery Dennison. Learn more at www.averydennison.com.
Vestcom is the industry leader in technology-driven shelf-edge solutions for Retailers and CPGs. Our data-integrated media solutions drive sales and loyalty, engaging shoppers at the point of decision. For our growing team of over 1,000 employees, Vestcom offers the stability of an established company with the entrepreneurial spirit and fast-paced environment of a high-growth technology innovator.
Vestcom is a standalone business unit of Avery Dennison, a Fortune 500 leader in materials science and packaging materials.
Benefits:
At Avery Dennison, some of the great benefits we provide are:
  • Inclusive Care: Access to our large network of medical and behavioral health professionals.
  • 401(k) Savings Plan: Avery Dennison supports your retirement readiness financially through company contributions to the 401(k) Plan. We encourage you to save as much as possible to meet your goals. You receive an automatic contribution of 3% of eligible pay (even if you contribute $0) plus a matching contribution of 50% on the first 7% of eligible pay you contribute.
  • Healthcare Coverage: Avery Dennison offers healthcare and insurance options to support you and your family based on your personal needs.
  • Paid Time Off: We offer a generous vacation program that varies based upon your experience and position within Avery Dennison.

Job Description
The Sr. Data Architect - AI & Analytics Platforms is a high-impact, hands-on technical role within the Data Strategy & Insights (DSI) organization. In this role, the Sr. Data Architect - AI & Analytics Platforms will architect, build, and scale DSI's next-generation decision intelligence engines, bridging the gap between complex engineering pipelines and actionable business intelligence. Working directly with data engineering teams, this role turns business logic, predictive analytics, and AI models into robust, automated data platforms. Rather than building standard reports, the Sr. Data Architect - AI & Analytics Platforms builds foundational platform architectures, automated pipelines, and AI enablement layers that empower CPG clients and internal teams to directly access advanced insights, optimize campaign spend, and measure incremental performance at scale.
Key Responsibilities:
This is a remote position unless employee sits within a 40 mile radius of a Vestcom location then they will go onsite 2x a week.
  • Platform Architecture & AI Enablement: Architect and implement scalable, cloud-native analytics platforms (Databricks, Snowflake) that enable direct self-service access to insights, predictive models, and GenAI-assisted analytics tools.
  • Engineering Collaboration & Technical Mentorship: Act as the hands-on bridge between business strategy and engineering teams, partnering closely with senior and junior data engineers to translate complex business rules into modular SQL/Python code, data models, and scalable platform services.
  • Decision Engine Development & Automation: Design, evolve, and automate measurement engines and algorithms that compute campaign performance (e.g., iROAS, Test vs. Control) against massive retail transaction datasets.
  • Multi-Source Data Integration: Author integration pipelines and data models that unify multi-retailer point-of-sale (POS) data, third-party syndicated datasets, and internal platform metrics into an integrated Analytics Data Warehouse.
  • Analytics Productization & Stack Optimization: Transform exploratory analytical models into production-ready analytical tools (e.g., Category Buyer Dynamics, predictive audience targeting) while continuously optimizing the cloud data warehousing and decision intelligence ecosystem.

Qualifications
Qualifications:
  • Education & Senior Experience: Bachelor's or Master's degree in Computer Science, Data Engineering, Business Analytics, Data Science, or related quantitative field, with 8+ years of progressive experience in data engineering, platform development, or analytics architecture (including 3+ years operating at a senior technical level).
  • Domain & Industry Knowledge: Strong background in CPG/Retail analytics, point-of-sale (POS) transactional data, campaign measurement methodologies (Test vs. Control), and strong knowledge and experience with digital in the Retail Media Network (RMN) space (in-store digital media, DOOH, ESL, etc.).
  • Platform & Technical Depth: Proven hands-on experience architecting and deploying analytics solutions on Databricks or Snowflake environments, with advanced proficiency in SQL, Python, database design, star/snowflake schema data modeling, ETL/ELT pipeline design, and API integration.
  • AI & Production Coding: Strong familiarity and experience incorporating machine learning models, predictive algorithms, and AI tools into operational analytics workflows, with a demonstrated ability to write production code alongside data engineers.
  • Leadership & Communication: Exceptional organizational, communication, and problem-solving skills, with a proven ability to lead technical execution across cross-functional teams and effectively communicate platform capabilities to non-technical business stakeholders.

Additional Information
The salary range for this position is $119,000 - $178,000 / year. The hiring base salary range above represents what Avery Dennison reasonably expects to pay for this position as of the date of this posting. Actual salaries will vary within the range, and in some circumstances may be above or below the range, based on various factors including but not limited to a candidate's relevant skills, experience, education and training, and location, as well as the job scope and complexity, responsibilities, and regular and/or necessary travel required for the position, which may change depending on the candidate pool. Avery Dennison reserves the right to modify this information at any time, subject to applicable law.
Equal Opportunity Employer:
Avery Dennison is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or any other protected status.
Reasonable Accommodations Notice:
If you require accommodations to view or apply for a job, alternative methods are available to submit an application. Please contact (440) 534-6000 or NA.TA.Operations@averydennison.com to discuss reasonable accommodations.
Identity Verification Notice:
To maintain the integrity of our hiring process and protect our candidates from identity fraud, we require video and/or in-person interviews. As part of this verification, we may also ask you to take a brief photo. This image is used exclusively to ensure identity consistency and will be permanently deleted once the hiring process concludes.
Pre-employment Screening Notice:
As part of our commitment to maintaining a safe and productive work environment, Avery Dennison requires all final candidates to successfully complete a comprehensive background check and a drug screening. These checks are conducted post-offer and are a condition of employment. All results will be considered in accordance with applicable local, state, and federal laws.
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