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Sr Data Engineer Jobs in Alexander, AR (NOW HIRING)

Pwc

Data Engineer - Senior Manager

Little Rock, AR · On-site

$124K - $280K/yr

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 ...

Pwc

Data Engineer - Senior Associate

Little Rock, AR · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Westrock Coffee

Sr. Data AI Engineer

Alexander, AR · On-site

$107K - $129K/yr

Strong engineering background, preferably in fields such as Computer Science, Mathematics, Engineering, and Data Science * Strong coder with shown proficiency in programming languages such as Python ...

Pivotal Solutions

Sr. Software Engineer

Little Rock, AR · On-site

$103K - $136K/yr

Continually review performance and collaborate with Sr. Software Engineers to recommend repairs of ... Full stack or n-tier application development in high data volume environments * 10+ years of recent ...

Arkana Laboratories

Senior Software Engineer

Little Rock, AR · On-site

$117K - $154K/yr

As the Senior Software Engineer, you will design, build, and ship features end-to-end across Arkana ... Working understanding of healthcare data privacy, HIPAA, and PHI handling * Familiarity with FHIR ...

USAble Life

Senior or Lead BI Developer

Little Rock, AR · Remote

$115K - $173K/yr

Candidates without strong SQL, dashboard/report development, ETL/ELT, data warehousing, and production support experience may be less competitive for this role. Senior Business Intelligence Developer ...

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Sr Data Engineer information

See Alexander, AR salary details

$76.4K

$119.1K

$165K

How much do sr data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for sr data engineer in Alexander, AR is $119,084.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $135,700.00 per year, depending on experience, location, and employer.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What are popular job titles related to Sr Data Engineer jobs in Alexander, AR?

For Sr Data Engineer jobs in Alexander, AR, the most frequently searched job titles are:

What cities near Alexander, AR are hiring for Sr Data Engineer jobs?

Cities near Alexander, AR with the most Sr Data Engineer job openings:

Sr Data Engineer jobs near you

Managed Services - Senior Data Engineer - Senior Manager

Pwc

Little Rock, AR • On-site

$124K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Senior Manager

Job Description & Summary

The Opportunity
As a Senior Data Engineer - Senior Manager, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Technology Consulting practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Senior Manager, you will utilize your skills and professional network to deliver quality results, motivating and coaching teams to solve complex problems. You will apply sound judgment, recognizing when to take action and when to escalate, while fostering a diverse and inclusive team environment.
In this role at PwC, you will craft and convey clear, impactful messages that tell a holistic story, applying systems thinking to identify underlying problems and opportunities. You will validate outcomes with clients, share alternative perspectives, and act on client feedback. Your ability to navigate complexity and demonstrate composure in challenging situations will contribute to the success of our firm. This position offers the chance to deepen your skills and stay relevant in the ever-evolving field of data and analytics, making a significant impact on both client success and the growth of our practice.
Responsibilities
- Developing innovative solutions to optimize business performance and enhance competitive advantage (solution optimization and roadmap development)
- Utilizing advanced analytics techniques to support client operations and strategic goals (AWS data engineering and Redshift)
- Building and maintaining data pipelines and architectures to support business intelligence efforts -(DataStage, ETL)
- Implementing data visualization tools to provide actionable insights and improve client outcomes -(SQL Server, DB2)
- Collaborating with stakeholders to identify and address data challenges and opportunities (Managed services, and SLAs)
- Coaching and motivating teams to solve complex problems and deliver quality results
- Applying systems thinking to identify underlying problems and opportunities within client projects (workload orchestration and scheduling)
- Validating outcomes with clients and acting on feedback to refine solutions -(CSAT and performance tuning)
- Directing teams through ambiguous and challenging situations with composure and sound judgment
What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
- Demonstrating advanced skills in data architecture development and data pipeline management
- Utilizing Python and Java for complex data analysis and visualization
- Excelling in business intelligence tools like QlikView and Oracle BI
- Leading strategic questioning and stakeholder engagement initiatives
- Applying systems thinking to identify and address underlying problems
- Directing teams through complex and ambiguous situations

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $124,000 - $280,000. 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

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